Glacier and snow
•Download as PPT, PDF•
5 likes•3,490 views
This document discusses remote sensing and GIS applications for studying glaciers and snow cover. It describes different types of glaciers, snow cover, and cryosphere regions like the Arctic and Antarctica. MODIS instruments on Terra and Aqua satellites are used to map global snow cover monthly and observe changes in Arctic sea ice extent over time. GIS tools can integrate satellite imagery with digital elevation models to analyze glacier changes and snow melt runoff. Monitoring snow and glaciers is important for assessing climate change impacts and managing water resources in regions like the Himalayas.
Report
Share
Report
Share
Recommended
Applications of remote sensing in glaciology
Glaciers are large, dense accumulations of snow and ice that form on land where snowfall exceeds melting over many years. They are distinct from sea ice and lake ice. Glaciers cover 10% of the world's land area and store the largest reservoir of fresh water on Earth. The scientific study of glaciers is called glaciology and involves understanding their relationships with climate, sea levels, and impacts on humans and the environment. Remote sensing techniques such as aerial photography, satellite imagery, and radar are powerful tools for monitoring and mapping glaciers, which are often located in remote areas. Different sensors can detect glacial features, measure glacier flow velocities, and help determine mass balances and snowmelt runoff.
MODERN trends of GIS
It includes modern trends of GIS RELATING TO ENVIRONMENT. It basically focuses on the applied portion of GIS.
GIS application in Natural Resource Management
This document discusses how GIS can be used for natural resource management. It provides examples of using GIS to assess watershed management in Uttarakhand, India. Specifically, it details how GIS was used to quantify soil loss and sediment flow under different scenarios, spatially distribute those results, delineate micro-basins and watersheds, and identify suitable areas for water harvesting. The results of this analysis can help inform development actions and priorities by providing spatial information on natural resources and how they vary across a landscape.
Introduction to GIS
DEFINITION :
GIS is a powerful set of tools for collecting, storing , retrieving at will, transforming and displaying spatial data from the real world for a particular set of purposes
APPLICATION AREAS OF GIS
Agriculture
Business
Electric/Gas utilities
Environment
Forestry
Geology
Hydrology
Land-use planning
Local government
Mapping
11. Military
12. Risk management
13. Site planning
14. Transportation
15. Water / Waste water industry
COMPONENTS OF GIS
DATA INPUT
SPATIAL DATA MODEL
Data Model:
It describes in an abstract way how the data is represented in an information system or in DBMS
Spatial Data Model :
The models or abstractions of reality that are intended to have some similarity with selected aspects of the real world
Creation of analogue and digital spatial data sets involves seven levels of model development and abstraction
SPATIAL DATA MODEL
Conceptual model : A view of reality
Analog model : Human conceptualization leads to analogue abstraction
Spatial data models : Formalization of analogue abstractions without any conventions
Database model : How the data are recorded in the computer
Physical computational model : Particular representation of the data structures in computer memory
Data manipulation model : Accepted axioms and rules for handling the data
SPATIAL DATA MODEL
SPATIAL DATA MODEL
Objects on the earth surface are shown as continuous and discrete objects in spatial data models
Types of data models
Raster data model
vector data models
RASTER DATA MODEL
Basic Elements :
Extent
Rows
Columns
Origin
Orientation
Resolution: pixel = grain = grid cell
Ex: Bit Map Image (BMP),Joint Photographic Expert Group (JPEG), Portable Network Graphics(PNG) etc
RASTER DATA MODEL
VECTOR DATA MODEL
Basic Elements:
Location (x,y) or (x,y,z)
Explicit, i.e. pegged to a coordinate system
Different coordinate system (and precision) require different values
o e.g. UTM as integer (but large)
o Lat, long as two floating point numbers +/-
Points are used to build more complex features
Ex: Auto CAD Drawing File(DWG), Data Interchange(exchange) File(DXF), Vector Product Format (VPF) etc
VECTOR DATA MODEL
RASTER vs VECTOR Raster is faster but Vector is corrector
TESSELLATIONS OF CONTINUOUS FIELDS
Triangular Irregular Network: (TIN)
TIN is a vector data structure for representing geographical information that is continuous
Digital elevation model
TIN is generally used to create Digital Elevation Model (DEM)
DIGITAL ELEVATION MODEL
DATA STRUCTURES
Data structure tells about how the data is stored
Data organization in raster data structures
Each cell is referenced directly
Each overlay Is referenced directly
Each mapping unit is referenced directly
Each overlay is separate file with general header
Landsat
Landsat was a joint NASA/USGS satellite program designed to systematically acquire global land surface images. Landsat 1 was launched in 1972 as the first satellite dedicated to observing Earth's land areas. Subsequent Landsat satellites carried improved sensors with higher spatial, spectral, and radiometric resolutions. Landsat provides repetitive coverage of the entire global land mass with images useful for mapping and monitoring land use change over time.
Aerial photography.pptx
Aerial photography involves taking photographs from aircraft and is used for mapping and studying the Earth's surface. It has various uses like making pictorial representations, preparing base maps, photo interpretation, and expediting natural resource surveys. Factors like atmospheric conditions, aircraft, camera, and film processing influence aerial photographs. There are different types of aerial photographs based on the camera axis position and various stages involved in planning and executing aerial photography flights.
Introduction to GIS
A Geographic Information System (GIS) integrates hardware, software and data to capture, store, manage, analyze and display spatially-referenced information. Key components of a GIS include hardware, software, data, methods, and personnel. GIS allows users to analyze spatial relationships, patterns and trends and answer "what if" questions. Common data types in GIS are spatial data, which represents geographic features and their attributes. Vector and raster are two main data structures, with different strengths for various uses. Geoprocessing tools allow manipulation of spatial data through operations like buffers, overlays and analysis.
Iirs overview -Remote sensing and GIS application in Water Resources Management
Remote sensing and GIS application in Water Resources Management- By S.P. Aggarval spa@iirs.gov.in Indian Institute of Remote sensing ISRO, Department of space, Dehradun
Recommended
Applications of remote sensing in glaciology
Glaciers are large, dense accumulations of snow and ice that form on land where snowfall exceeds melting over many years. They are distinct from sea ice and lake ice. Glaciers cover 10% of the world's land area and store the largest reservoir of fresh water on Earth. The scientific study of glaciers is called glaciology and involves understanding their relationships with climate, sea levels, and impacts on humans and the environment. Remote sensing techniques such as aerial photography, satellite imagery, and radar are powerful tools for monitoring and mapping glaciers, which are often located in remote areas. Different sensors can detect glacial features, measure glacier flow velocities, and help determine mass balances and snowmelt runoff.
MODERN trends of GIS
It includes modern trends of GIS RELATING TO ENVIRONMENT. It basically focuses on the applied portion of GIS.
GIS application in Natural Resource Management
This document discusses how GIS can be used for natural resource management. It provides examples of using GIS to assess watershed management in Uttarakhand, India. Specifically, it details how GIS was used to quantify soil loss and sediment flow under different scenarios, spatially distribute those results, delineate micro-basins and watersheds, and identify suitable areas for water harvesting. The results of this analysis can help inform development actions and priorities by providing spatial information on natural resources and how they vary across a landscape.
Introduction to GIS
DEFINITION :
GIS is a powerful set of tools for collecting, storing , retrieving at will, transforming and displaying spatial data from the real world for a particular set of purposes
APPLICATION AREAS OF GIS
Agriculture
Business
Electric/Gas utilities
Environment
Forestry
Geology
Hydrology
Land-use planning
Local government
Mapping
11. Military
12. Risk management
13. Site planning
14. Transportation
15. Water / Waste water industry
COMPONENTS OF GIS
DATA INPUT
SPATIAL DATA MODEL
Data Model:
It describes in an abstract way how the data is represented in an information system or in DBMS
Spatial Data Model :
The models or abstractions of reality that are intended to have some similarity with selected aspects of the real world
Creation of analogue and digital spatial data sets involves seven levels of model development and abstraction
SPATIAL DATA MODEL
Conceptual model : A view of reality
Analog model : Human conceptualization leads to analogue abstraction
Spatial data models : Formalization of analogue abstractions without any conventions
Database model : How the data are recorded in the computer
Physical computational model : Particular representation of the data structures in computer memory
Data manipulation model : Accepted axioms and rules for handling the data
SPATIAL DATA MODEL
SPATIAL DATA MODEL
Objects on the earth surface are shown as continuous and discrete objects in spatial data models
Types of data models
Raster data model
vector data models
RASTER DATA MODEL
Basic Elements :
Extent
Rows
Columns
Origin
Orientation
Resolution: pixel = grain = grid cell
Ex: Bit Map Image (BMP),Joint Photographic Expert Group (JPEG), Portable Network Graphics(PNG) etc
RASTER DATA MODEL
VECTOR DATA MODEL
Basic Elements:
Location (x,y) or (x,y,z)
Explicit, i.e. pegged to a coordinate system
Different coordinate system (and precision) require different values
o e.g. UTM as integer (but large)
o Lat, long as two floating point numbers +/-
Points are used to build more complex features
Ex: Auto CAD Drawing File(DWG), Data Interchange(exchange) File(DXF), Vector Product Format (VPF) etc
VECTOR DATA MODEL
RASTER vs VECTOR Raster is faster but Vector is corrector
TESSELLATIONS OF CONTINUOUS FIELDS
Triangular Irregular Network: (TIN)
TIN is a vector data structure for representing geographical information that is continuous
Digital elevation model
TIN is generally used to create Digital Elevation Model (DEM)
DIGITAL ELEVATION MODEL
DATA STRUCTURES
Data structure tells about how the data is stored
Data organization in raster data structures
Each cell is referenced directly
Each overlay Is referenced directly
Each mapping unit is referenced directly
Each overlay is separate file with general header
Landsat
Landsat was a joint NASA/USGS satellite program designed to systematically acquire global land surface images. Landsat 1 was launched in 1972 as the first satellite dedicated to observing Earth's land areas. Subsequent Landsat satellites carried improved sensors with higher spatial, spectral, and radiometric resolutions. Landsat provides repetitive coverage of the entire global land mass with images useful for mapping and monitoring land use change over time.
Aerial photography.pptx
Aerial photography involves taking photographs from aircraft and is used for mapping and studying the Earth's surface. It has various uses like making pictorial representations, preparing base maps, photo interpretation, and expediting natural resource surveys. Factors like atmospheric conditions, aircraft, camera, and film processing influence aerial photographs. There are different types of aerial photographs based on the camera axis position and various stages involved in planning and executing aerial photography flights.
Introduction to GIS
A Geographic Information System (GIS) integrates hardware, software and data to capture, store, manage, analyze and display spatially-referenced information. Key components of a GIS include hardware, software, data, methods, and personnel. GIS allows users to analyze spatial relationships, patterns and trends and answer "what if" questions. Common data types in GIS are spatial data, which represents geographic features and their attributes. Vector and raster are two main data structures, with different strengths for various uses. Geoprocessing tools allow manipulation of spatial data through operations like buffers, overlays and analysis.
Iirs overview -Remote sensing and GIS application in Water Resources Management
Remote sensing and GIS application in Water Resources Management- By S.P. Aggarval spa@iirs.gov.in Indian Institute of Remote sensing ISRO, Department of space, Dehradun
Remote sensing - Sensors, Platforms and Satellite orbits
Remote sensing uses sensors on various platforms to detect electromagnetic radiation from the Earth. Sensors can be passive, detecting natural radiation, or active, emitting their own radiation. Platforms include ground-based, airborne, and space-based options at increasing heights. Space-based platforms include low Earth orbit satellites in polar or sun synchronous orbits for frequent coverage, and geostationary satellites for continuous coverage of fixed regions. Different sensors have varying spatial, spectral, radiometric, and temporal resolutions to detect features on Earth.
Introduction to gis
This document provides an introduction to Geographic Information Systems (GIS) presented by Muhammad Haris. It begins with informal definitions of GIS for beginners and discusses how GIS links spatial and attribute data to find patterns. Examples are given of how GIS represents and analyzes layered data in vector and raster formats. Major application areas of GIS are outlined such as emergency routing and 3D modeling. The presentation concludes with a discussion of common GIS software and where the technology is used.
Digital elevation model in GIS
Digital Elevation Model (DEM) is the digital representation of the land surface elevation with respect to any reference datum. DEM is frequently used to refer to any digital representation of a topographic surface. DEM is the simplest form of digital representation of topography. GIS applications depend mainly on DEMs, today.
Introduction and Application of GIS
This document provides an introduction to Geographic Information Systems (GIS). It defines GIS as a system designed to store, manipulate, analyze and display spatially referenced data. The key components of a GIS are hardware, software and data. Common GIS software includes desktop programs like ArcGIS and open-source options like QGIS. GIS can incorporate different types of spatial data like raster, vector and remote sensing data along with associated attribute tables. Example applications discussed are in hydrology, including watershed analysis and flood modeling.
drought monitoring and management using remote sensing
Monitoring drought and its management became easier with the help of remote sensing..several drought monitoring indices can be used to monitor drought condition. this ppt consists of information regarding droughts in relation to agriculture and their monitoring with the help of remotely sense based indices.
Introduction to Landsat
Landsat is a series of Earth observation satellite missions jointly managed by NASA and the U.S. Geological Survey. The first Landsat satellite was launched in 1972 and subsequent satellites were launched through 2013 to acquire global land data. Landsat satellites carry imaging sensors to collect medium-resolution multi-spectral images of the Earth's surface on a 16-day repeat cycle. The images are used to observe changes in land use, monitor deforestation, and detect water pollution among other applications. Six Landsat satellites have been launched to date, each carrying improved sensors from the Multi-Spectral Scanner to the Enhanced Thematic Mapper Plus. Landsat provides the longest continuous space-based record of Earth's surface.
Image classification, remote sensing, P K MANI
Image classification involves using spectral bands of images to separate landscape features into categories. Pixels with similar spectral signatures are clustered and classified using techniques like maximum likelihood classification. This results in a classified image map where each pixel is assigned a land cover class. However, classified maps have errors, so accuracy assessment is important to estimate the map's accuracy. Supervised classification involves using training areas of known land cover to develop spectral signatures for classification, while unsupervised classification clusters pixels without prior class definitions.
Spatial interpolation techniques
Spatial interpolation techniques are used to estimate values at unsampled locations based on known sample points. There are two main types of interpolation methods: global methods which apply a single mathematical function to all points, and local methods which apply functions to subsets of points. Specific interpolation methods covered include Thiessen polygons, triangulated irregular networks, spatial moving average, trend surfaces, inverse distance weighting, and Kriging. Kriging is similar to inverse distance weighting but uses minimum variance to calculate weights.
History of remote sensing
Galileo used early optical enhancements in the 1600s to observe celestial bodies and merchant ships arriving in harbor. In the 1880s, Arthur Batut affixed cameras to kites, including an altimeter to determine the scale of images, making him the father of kite aerial photography. By 1903, camera miniaturization allowed cameras to be attached to pigeons for aerial photography, though images were limited. During the Cuban Missile Crisis in 1962, U-2 spy planes detected Soviet nuclear missiles in Cuba using remote sensing, changing the course of history.
TIN IN GIS
Triangulated Irregular Network (TIN) is a digital representation of a surface as non-overlapping triangles computed from irregularly spaced 3D points, where each point has x, y, and z coordinates. TINs are useful for representing continuous surfaces in GIS as they can accurately model terrain with significant slopes and variations while using fewer triangles in flat areas. TINs allow for easy derivation and analysis of surface properties like slope, aspect, area, and volume from mass point data, contours, and breaklines.
Functions of GIS
GIS is a computer system that can assemble, store, manipulate, and display geographic data. It efficiently captures, stores, updates, analyzes and displays geographically referenced information through hardware, software, data and personnel. GIS allows for data capture through various methods, storage of data in both physical and digital forms, manipulation through editing attributes, and analysis to aid in decision making. It has advantages like easily analyzing locations, general purpose problem solving, and mapping. The scope of GIS includes using its functions to find locations of hospitals, schools, businesses, government offices and transportation hubs.
Basics of Remote Sensing
Remote sensing involves obtaining information about objects without physical contact. It works by sensing and recording electromagnetic radiation reflected or emitted from targets. The key components are an energy source, sensor, platforms, and data analysis to extract information. Sensors can be optical, thermal, or microwave. Platforms include satellites, aircraft, and ground bases. Applications of remote sensing include agriculture, forestry, geology, hydrology, urban planning, and national security.
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
This document discusses remote sensing and GIS applications for watershed management. It describes how remote sensing can be used to characterize watersheds by mapping attributes like size, shape, drainage patterns, geology, soil, land use, and groundwater potential. Remote sensing data can be integrated with socioeconomic data and used to delineate watershed boundaries, prioritize watersheds for development, and generate action plans. The document also outlines steps for watershed demarcation, characterization using tools like GEOMORIS, and prioritization using methods such as the sediment yield index.
Basics to gis concepts unit i
This document provides an overview of basic concepts in geographic information systems (GIS). It defines GIS as a system for capturing, storing, integrating, analyzing and displaying spatially-referenced data. Key components of GIS include data input, storage, management, analysis and output. GIS handles spatial data referenced by location and allows analysis of relationships based on spatial proximity. GIS has a wide range of applications in fields like government, agriculture, business, environment and research.
Introduction to gis
A Geographic Information System (GIS) integrates hardware, software and data to capture, store, analyze and display spatially-referenced information. GIS allows users to view, understand, question, interpret, and visualize data in many ways that reveal relationships, patterns, and trends. Key components of a GIS include hardware, software, data, methods, and personnel with GIS expertise. GIS differs from other graphics systems in its ability to geo-reference data, use relational databases to link spatial and non-spatial data, and overlay multiple data layers in a single map.
Remote sensing-presentaion
This document discusses satellite remote sensing. It provides details on different types of remote sensing satellites including Landsat, MODIS, SPOT, IRS series, and IKONOS. It also describes various sensors used in remote sensing such as MSS, TM, HRV, LISS, PAN, and WiFS. The document discusses the basic principles, components, and applications of remote sensing from satellites for land resources survey, environmental monitoring, and other purposes.
Gis application on forest management
This document discusses the use of Geographic Information Systems (GIS) in forest management. It outlines how GIS plays a vital role in resource management, harvest planning, fire management, and map production. The document then provides examples of how GIS has been used successfully by the Forest Survey of India for tasks like mapping forest cover, comparing forest cover changes over time, and implementing a project in the Corbett Tiger Reserve. The conclusion reiterates that GIS will continue to play an important role in forest management as it becomes more complex due to environmental and social factors.
History of gis
The concept of GIS was first introduced in the early 1960s, and it was subsequently researched and developed as a new discipline. The GIS history views Roger Tomlinson as a pioneer of the concept, where the first iteration was designed to store, collate, and analyze data about land usage in Canada.
Basic of Remote Sensing
This document provides an overview of the basics of remote sensing. It defines remote sensing as acquiring information about an object without direct contact. It discusses key components of the remote sensing process including data acquisition, the electromagnetic spectrum, atmospheric interactions, spectral signatures, and satellite platforms and orbits. Remote sensing draws from many areas and plays an important role in monitoring the Earth through satellite imagery.
RIVER OF ICE
1. A glacier is a large, long-lasting mass of ice formed on land that masses downhill under its way.
Glacier is part of the earth’s hydrosphere.
Along with the sea, ice glaciers are known as the cryosphere.
2. GROUP OF GLACIER:
They fall into two general groups based on their form size and flow characteristics
3. Alphin glacier that is surrounded by mountains is called an alpine or mountain glacier.
Glaciated valleys are through like U-shaped with board floors and relatively smooth, and steep sides
The valleys may contain littered debris or debris shaped as moraines with a swampy appearance.
There may be taken gouged out of the rocky floor or formed by debris within the valley.
Cirque Glacier: Bowl-like hollow structures are called cirque glaciers. They are formed inside the mountains and tend to move towards the valley. A glacier that forms in a cirque is a cirque glacier. Piedmont Glacier: When the steep valley glaciers spill into flat plains, then a piedmont glacier occurs e.g Malaspina glacier that falls into Yakutat Bay, Alaska. Hanging glacier: When the major valley glacier thins out, that becomes a hanging glacier. Tidewater glaciers: These are valley glaciers that reach the sea, and they provide breeding habitat for seals. These glaciers are the ones that form small icebergs.
4. Continental glaciers are those vast masses of ice sheets covering stretches of land. Such glaciers flow over large areas that are unconfined, where they bury the landscapes underneath
Today, continental glaciers are only present in extreme polar regions: Antarctica and Greenland Historically, continental glaciers also covered large regions of Canada Europe and Asia, and they are responsible for many distinctive topographic features in these regions.
The ice sheet blankets 81% of Greenland and 90% of Antarctica.
FORMATION AND FLOW:
IMPORTANCE OF CONTINENTAL GLACIER:
Glaciers are an essential indicator of the study of environmental change, thereby making people aware of the increasing global warming. Due to the continuously growing industrialization, and use of automobiles, there is a rising graph of air pollution triggered by the emission of carbon monoxide and other harmful greenhouse gases. The outcome of all these is the catastrophic increase in global warming and greenhouse gases.
Glaciers come in a huge range of shapes and sizes. Different glaciers, and even different parts of the same glacier, can have a variety of different thermal, hydrological and dynamic characteristics. Glaciers occur in locations ranging from the poles to the equator, and most parts of the world have experienced the direct effects of glaciation at some time in the past. Glaciers currently occupy less of the planet than they have done in geological history, but nevertheless exert a profound influence on the global environment. Our developing understanding of glaciers will play an important role in our understanding of the global environmental system
mars_ice_drilling_assessment_v6_for_public_release.pdf
This document discusses options for accessing and extracting water ice on Mars to support future human missions. It considers various forms of water ice that have been observed on Mars, including glacial deposits and subsurface ice layers detected by radar. Two main options for extracting ice are assessed: surface mining by removing overburden material and drilling into subsurface ice deposits. The initial Mars Water In-Situ Resource Utilization study found surface mining of ice to be problematic due to the large mass of overburden material required to be removed at depth. Drilling into subsurface ice deposits was not fully analyzed previously and warrants further study as it may be a more promising approach.
More Related Content
What's hot
Remote sensing - Sensors, Platforms and Satellite orbits
Remote sensing uses sensors on various platforms to detect electromagnetic radiation from the Earth. Sensors can be passive, detecting natural radiation, or active, emitting their own radiation. Platforms include ground-based, airborne, and space-based options at increasing heights. Space-based platforms include low Earth orbit satellites in polar or sun synchronous orbits for frequent coverage, and geostationary satellites for continuous coverage of fixed regions. Different sensors have varying spatial, spectral, radiometric, and temporal resolutions to detect features on Earth.
Introduction to gis
This document provides an introduction to Geographic Information Systems (GIS) presented by Muhammad Haris. It begins with informal definitions of GIS for beginners and discusses how GIS links spatial and attribute data to find patterns. Examples are given of how GIS represents and analyzes layered data in vector and raster formats. Major application areas of GIS are outlined such as emergency routing and 3D modeling. The presentation concludes with a discussion of common GIS software and where the technology is used.
Digital elevation model in GIS
Digital Elevation Model (DEM) is the digital representation of the land surface elevation with respect to any reference datum. DEM is frequently used to refer to any digital representation of a topographic surface. DEM is the simplest form of digital representation of topography. GIS applications depend mainly on DEMs, today.
Introduction and Application of GIS
This document provides an introduction to Geographic Information Systems (GIS). It defines GIS as a system designed to store, manipulate, analyze and display spatially referenced data. The key components of a GIS are hardware, software and data. Common GIS software includes desktop programs like ArcGIS and open-source options like QGIS. GIS can incorporate different types of spatial data like raster, vector and remote sensing data along with associated attribute tables. Example applications discussed are in hydrology, including watershed analysis and flood modeling.
drought monitoring and management using remote sensing
Monitoring drought and its management became easier with the help of remote sensing..several drought monitoring indices can be used to monitor drought condition. this ppt consists of information regarding droughts in relation to agriculture and their monitoring with the help of remotely sense based indices.
Introduction to Landsat
Landsat is a series of Earth observation satellite missions jointly managed by NASA and the U.S. Geological Survey. The first Landsat satellite was launched in 1972 and subsequent satellites were launched through 2013 to acquire global land data. Landsat satellites carry imaging sensors to collect medium-resolution multi-spectral images of the Earth's surface on a 16-day repeat cycle. The images are used to observe changes in land use, monitor deforestation, and detect water pollution among other applications. Six Landsat satellites have been launched to date, each carrying improved sensors from the Multi-Spectral Scanner to the Enhanced Thematic Mapper Plus. Landsat provides the longest continuous space-based record of Earth's surface.
Image classification, remote sensing, P K MANI
Image classification involves using spectral bands of images to separate landscape features into categories. Pixels with similar spectral signatures are clustered and classified using techniques like maximum likelihood classification. This results in a classified image map where each pixel is assigned a land cover class. However, classified maps have errors, so accuracy assessment is important to estimate the map's accuracy. Supervised classification involves using training areas of known land cover to develop spectral signatures for classification, while unsupervised classification clusters pixels without prior class definitions.
Spatial interpolation techniques
Spatial interpolation techniques are used to estimate values at unsampled locations based on known sample points. There are two main types of interpolation methods: global methods which apply a single mathematical function to all points, and local methods which apply functions to subsets of points. Specific interpolation methods covered include Thiessen polygons, triangulated irregular networks, spatial moving average, trend surfaces, inverse distance weighting, and Kriging. Kriging is similar to inverse distance weighting but uses minimum variance to calculate weights.
History of remote sensing
Galileo used early optical enhancements in the 1600s to observe celestial bodies and merchant ships arriving in harbor. In the 1880s, Arthur Batut affixed cameras to kites, including an altimeter to determine the scale of images, making him the father of kite aerial photography. By 1903, camera miniaturization allowed cameras to be attached to pigeons for aerial photography, though images were limited. During the Cuban Missile Crisis in 1962, U-2 spy planes detected Soviet nuclear missiles in Cuba using remote sensing, changing the course of history.
TIN IN GIS
Triangulated Irregular Network (TIN) is a digital representation of a surface as non-overlapping triangles computed from irregularly spaced 3D points, where each point has x, y, and z coordinates. TINs are useful for representing continuous surfaces in GIS as they can accurately model terrain with significant slopes and variations while using fewer triangles in flat areas. TINs allow for easy derivation and analysis of surface properties like slope, aspect, area, and volume from mass point data, contours, and breaklines.
Functions of GIS
GIS is a computer system that can assemble, store, manipulate, and display geographic data. It efficiently captures, stores, updates, analyzes and displays geographically referenced information through hardware, software, data and personnel. GIS allows for data capture through various methods, storage of data in both physical and digital forms, manipulation through editing attributes, and analysis to aid in decision making. It has advantages like easily analyzing locations, general purpose problem solving, and mapping. The scope of GIS includes using its functions to find locations of hospitals, schools, businesses, government offices and transportation hubs.
Basics of Remote Sensing
Remote sensing involves obtaining information about objects without physical contact. It works by sensing and recording electromagnetic radiation reflected or emitted from targets. The key components are an energy source, sensor, platforms, and data analysis to extract information. Sensors can be optical, thermal, or microwave. Platforms include satellites, aircraft, and ground bases. Applications of remote sensing include agriculture, forestry, geology, hydrology, urban planning, and national security.
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
This document discusses remote sensing and GIS applications for watershed management. It describes how remote sensing can be used to characterize watersheds by mapping attributes like size, shape, drainage patterns, geology, soil, land use, and groundwater potential. Remote sensing data can be integrated with socioeconomic data and used to delineate watershed boundaries, prioritize watersheds for development, and generate action plans. The document also outlines steps for watershed demarcation, characterization using tools like GEOMORIS, and prioritization using methods such as the sediment yield index.
Basics to gis concepts unit i
This document provides an overview of basic concepts in geographic information systems (GIS). It defines GIS as a system for capturing, storing, integrating, analyzing and displaying spatially-referenced data. Key components of GIS include data input, storage, management, analysis and output. GIS handles spatial data referenced by location and allows analysis of relationships based on spatial proximity. GIS has a wide range of applications in fields like government, agriculture, business, environment and research.
Introduction to gis
A Geographic Information System (GIS) integrates hardware, software and data to capture, store, analyze and display spatially-referenced information. GIS allows users to view, understand, question, interpret, and visualize data in many ways that reveal relationships, patterns, and trends. Key components of a GIS include hardware, software, data, methods, and personnel with GIS expertise. GIS differs from other graphics systems in its ability to geo-reference data, use relational databases to link spatial and non-spatial data, and overlay multiple data layers in a single map.
Remote sensing-presentaion
This document discusses satellite remote sensing. It provides details on different types of remote sensing satellites including Landsat, MODIS, SPOT, IRS series, and IKONOS. It also describes various sensors used in remote sensing such as MSS, TM, HRV, LISS, PAN, and WiFS. The document discusses the basic principles, components, and applications of remote sensing from satellites for land resources survey, environmental monitoring, and other purposes.
Gis application on forest management
This document discusses the use of Geographic Information Systems (GIS) in forest management. It outlines how GIS plays a vital role in resource management, harvest planning, fire management, and map production. The document then provides examples of how GIS has been used successfully by the Forest Survey of India for tasks like mapping forest cover, comparing forest cover changes over time, and implementing a project in the Corbett Tiger Reserve. The conclusion reiterates that GIS will continue to play an important role in forest management as it becomes more complex due to environmental and social factors.
History of gis
The concept of GIS was first introduced in the early 1960s, and it was subsequently researched and developed as a new discipline. The GIS history views Roger Tomlinson as a pioneer of the concept, where the first iteration was designed to store, collate, and analyze data about land usage in Canada.
Basic of Remote Sensing
This document provides an overview of the basics of remote sensing. It defines remote sensing as acquiring information about an object without direct contact. It discusses key components of the remote sensing process including data acquisition, the electromagnetic spectrum, atmospheric interactions, spectral signatures, and satellite platforms and orbits. Remote sensing draws from many areas and plays an important role in monitoring the Earth through satellite imagery.
What's hot (20)
Remote sensing - Sensors, Platforms and Satellite orbits
Remote sensing - Sensors, Platforms and Satellite orbits
drought monitoring and management using remote sensing
drought monitoring and management using remote sensing
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
REMOTE SENSING & GIS APPLICATIONS IN WATERSHED MANAGEMENT
Similar to Glacier and snow
RIVER OF ICE
1. A glacier is a large, long-lasting mass of ice formed on land that masses downhill under its way.
Glacier is part of the earth’s hydrosphere.
Along with the sea, ice glaciers are known as the cryosphere.
2. GROUP OF GLACIER:
They fall into two general groups based on their form size and flow characteristics
3. Alphin glacier that is surrounded by mountains is called an alpine or mountain glacier.
Glaciated valleys are through like U-shaped with board floors and relatively smooth, and steep sides
The valleys may contain littered debris or debris shaped as moraines with a swampy appearance.
There may be taken gouged out of the rocky floor or formed by debris within the valley.
Cirque Glacier: Bowl-like hollow structures are called cirque glaciers. They are formed inside the mountains and tend to move towards the valley. A glacier that forms in a cirque is a cirque glacier. Piedmont Glacier: When the steep valley glaciers spill into flat plains, then a piedmont glacier occurs e.g Malaspina glacier that falls into Yakutat Bay, Alaska. Hanging glacier: When the major valley glacier thins out, that becomes a hanging glacier. Tidewater glaciers: These are valley glaciers that reach the sea, and they provide breeding habitat for seals. These glaciers are the ones that form small icebergs.
4. Continental glaciers are those vast masses of ice sheets covering stretches of land. Such glaciers flow over large areas that are unconfined, where they bury the landscapes underneath
Today, continental glaciers are only present in extreme polar regions: Antarctica and Greenland Historically, continental glaciers also covered large regions of Canada Europe and Asia, and they are responsible for many distinctive topographic features in these regions.
The ice sheet blankets 81% of Greenland and 90% of Antarctica.
FORMATION AND FLOW:
IMPORTANCE OF CONTINENTAL GLACIER:
Glaciers are an essential indicator of the study of environmental change, thereby making people aware of the increasing global warming. Due to the continuously growing industrialization, and use of automobiles, there is a rising graph of air pollution triggered by the emission of carbon monoxide and other harmful greenhouse gases. The outcome of all these is the catastrophic increase in global warming and greenhouse gases.
Glaciers come in a huge range of shapes and sizes. Different glaciers, and even different parts of the same glacier, can have a variety of different thermal, hydrological and dynamic characteristics. Glaciers occur in locations ranging from the poles to the equator, and most parts of the world have experienced the direct effects of glaciation at some time in the past. Glaciers currently occupy less of the planet than they have done in geological history, but nevertheless exert a profound influence on the global environment. Our developing understanding of glaciers will play an important role in our understanding of the global environmental system
mars_ice_drilling_assessment_v6_for_public_release.pdf
This document discusses options for accessing and extracting water ice on Mars to support future human missions. It considers various forms of water ice that have been observed on Mars, including glacial deposits and subsurface ice layers detected by radar. Two main options for extracting ice are assessed: surface mining by removing overburden material and drilling into subsurface ice deposits. The initial Mars Water In-Situ Resource Utilization study found surface mining of ice to be problematic due to the large mass of overburden material required to be removed at depth. Drilling into subsurface ice deposits was not fully analyzed previously and warrants further study as it may be a more promising approach.
Glaciers and Glaciation
Glaciers are large, slow-moving masses of ice that form from compacted snow. They are found in mountain ranges and polar regions. Glaciers are sensitive to climate conditions and influence sea levels and water resources. They are categorized based on their thermal characteristics, behavior, and location. Alpine glaciers are confined to valleys while continental glaciers span entire regions. As glaciers accumulate more snow than melts, they grow, but melting exceeds accumulation in warmer periods, causing glaciers to recede.
Glaciers
This lecture will give you a brief introduction to glaciers and helps you to better understand the glaciers.
Glaciers
Glaciers are the moving masses of ice. They are the permanent masses of ice that form over the land. These glaciers are originated from the compaction and crystallization of snow. When low temperature and sufficient snowfalls occur over a region we get the glaciers and snow fields will be having very low temperature and continuous snowfalls, glaciers are masses of ice that flow under the action of gravity. Glacier is a natural moving body of crystalline ice of great dimension. A glacier is a typical geological agent and as ice flows over the mountains and regions or land plain lands glaciers can erode, transport and deposit the materials carried away by suspension.
Antarctic scripts
Glaciers are made of three layers - snow on top, a middle layer of snow and ice mixture, and solid ice on the bottom. Crevasses, or cracks, form as the glacier moves slowly over time. This movement of glaciers erodes and shapes the surrounding landscape, creating features like valleys and mountain peaks. While glaciers can be visited, it is dangerous to walk on them without proper equipment due to hidden crevasses beneath the snow.
Glaciers
Glaciers are large, thick masses of ice formed from compacted snow that accumulates over many years. Glaciers form in areas where snow accumulation exceeds melting. Due to their great mass, glaciers slowly flow downhill like rivers. Glaciers erode the underlying landscape and form characteristic landforms as they advance and retreat. Melting glaciers provide fresh water for many communities but are now threatened by global warming.
RSProject final pres
This document presents the methodology for a study comparing pixel-based and object-based classification techniques for glacier change detection using remote sensing. The study aims to detect temporal changes in glaciers and identify the most suitable classification method for mapping clean and debris-covered ice. The document outlines the study area, data required (Landsat imagery and DEM data), and classification methods tested (supervised, knowledge-based, object-based). Preliminary results found object-based classification produced the best results, with supervised classification also performing well. The document concludes by recommending further field work and more advanced software to improve object-based analysis.
Lesson 2 past and present distribution of ice
Glaciers are sensitive indicators of climate change as they advance and retreat in response to temperature fluctuations. In the past, during the Pleistocene epoch, ice coverage was around 3 times greater than today. The largest ice sheets were located in Antarctica, Greenland, North America, and Scandinavia. Glaciers exist in both polar and mountainous regions due to factors like latitude, which influences solar radiation levels, and altitude, which impacts temperature through the environmental lapse rate. Ice can be classified by size, location, and degree of constraint into different types such as ice sheets, ice caps, valley glaciers, and cirque glaciers.
Glaciers and its types
This document provides an overview of glaciers, including their formation, movement, and important terminology. It describes the key parts of a glacier, including the accumulation and ablation zones. The document also discusses different types of glaciers and their varying speeds of movement. Finally, it covers the erosional and depositional landforms created by glaciers, such as moraines, eskers, and drumlins.
Past and Present Distribution of Ice
1. Ice distribution on Earth has changed over time and varies based on factors like latitude, altitude, and local climate conditions.
2. There are different types of ice masses including ice sheets, ice caps, glaciers, and ice shelves, which vary in size and location.
3. During the last ice age, ice cover was much more extensive, with large ice sheets covering North America and Europe that profoundly shaped the landscape as they advanced and retreated.
Glaciers
Glaciers form when snow does not melt completely each summer and layers of snow are compressed into ice over many years. Glaciers contain ice, snow, water, rocks, and sediments, making the ice appear dirty. Though glaciers look solid, they slowly move due to pressure from their own weight, deforming and flowing over the landscape aided by meltwater at their base. Meltwater streams carry debris from the glacier which is deposited elsewhere by rivers and lakes. Some glaciers reach the ocean, forming ice shelves or breaking off into large icebergs. Moraines of deposited sediment form along the edges and fronts of glaciers. There are different types of glaciers including alpine glaciers in mountain cirques
Our glaciers.ppt
This document discusses glacial processes and landforms. It begins by defining a glacier as existing year-round ice on the landscape, which forms when snowfall exceeds snowmelt over many years. Glaciers erode and transport sediment, depositing unsorted till and forming features like moraines. During the most recent ice age, over 1/3 of the land was covered by ice sheets, which sculpted U-shaped valleys and removed vegetation. Current glaciation covers around 10% of the land. Alpine glaciers are smaller and change valley shapes, while continental ice sheets level terrain and reshape entire regions.
Monitoring surface deformation combining optical and radar sentinel data gsg ...
This document discusses monitoring surface deformation in New Zealand caused by a large 2016 earthquake using optical and radar satellite data. It combines differential interferometry (DInSAR) using Synthetic Aperture Radar (SAR) data and offset tracking (OT) to map displacement. DInSAR showed line-of-sight movement while OT mapped movements in east-west and north-south directions. Combining these techniques provided a more complete picture of the complex surface deformation than either method alone. The analysis demonstrated the potential of using multiple earth observation tools to study earthquake impacts.
My Arctic Career: Sara Crepinsek, CIRES and NOAA
Sara Crepinsek talked with middle school students in Erie, Colorado, fall 2016, about her work as an Arctic scientist, technician and data manager. Installing instruments in such a remote and harsh location can be a challenge, but it's clearly one she relishes. Sara works in NOAA's Physical Sciences Division
Education 87_18G5EC3_2020121104273423.ppt
The document discusses glaciers and glaciation. It describes how glaciers form from compacted snow and flow over land under their own weight. Glaciers cover around 10% of Earth's surface today, occurring in places like Greenland, Antarctica, and mountain ranges. The document outlines different types of glaciers and how glaciers can erode landforms through processes like plucking, abrasion, and bulldozing. Glaciers can deposit sediments in the form of till, outwash, moraines, kames, eskers, and other landforms as they melt. The cyclic advance and retreat of ice sheets over geological time, including multiple glacial and interglacial periods in the Pleistocene
Glaciers
- Glaciers are large persistent bodies of ice that form where snow accumulation exceeds melting over many years. Their sheer weight and plasticity causes them to slowly flow under gravity.
- The approximate areas covered by glaciers worldwide are provided, totaling nearly 15 million square kilometers, with over half of that in Antarctica and Greenland.
- Glaciers are classified by their location and behavior, such as ice sheets, ice caps, valley glaciers, and tidewater glaciers.
What is a glacier
in this presentation I will discus about the glacier, different type of glacier, formation of glacier and its movement from height toward lower area and supply water to our rivers
Geological features of ice
Glaciers are masses of ice that flow over land under their own weight. They currently exist in Greenland, Antarctica, and mountain ranges. Glaciers are important for understanding past climate changes as they are sensitive to small changes in temperature and precipitation. During glacial periods, large ice sheets covered vast areas of the Earth's surface. Glaciers erode and transport material, depositing it in distinctive landforms like moraines, eskers, and drumlins. The cyclic growth and decay of glaciers over the past few million years, known as glacial and interglacial periods, has significantly impacted the Earth's landscape and climate.
Similar to Glacier and snow (20)
mars_ice_drilling_assessment_v6_for_public_release.pdf
mars_ice_drilling_assessment_v6_for_public_release.pdf
Monitoring surface deformation combining optical and radar sentinel data gsg ...
Monitoring surface deformation combining optical and radar sentinel data gsg ...
More from Swetha A
Microcontroller(18CS44) module 1
The document provides information about RISC processors and the ARM architecture. It discusses key aspects of RISC design including simple instructions that can execute in a single cycle, pipelining of instruction execution, large general purpose registers, and separate load and store instructions. It also describes features of the ARM architecture like variable cycle instructions, a barrel shifter, conditional execution, and the Thumb instruction set. Additionally, it covers ARM embedded system basics, the ARM design philosophy, and software components like initialization code, operating systems, and applications.
MISSION TO PLANETS (CHANDRAYAAN,MAVEN,CURIOSITY,MANGALYAAN,CASSINI SOLSTICE M...
This document summarizes several planetary exploration missions. It discusses Chandrayaan-1, India's first lunar orbiter mission, and its objectives to map lunar minerals and terrain. It also discusses NASA's MAVEN and Curiosity missions to Mars, with MAVEN studying the Martian atmosphere and Curiosity analyzing samples to search for evidence of past life. Additionally, it summarizes Cassini's ongoing mission in orbit around Saturn, making discoveries about the rings and moons like Titan and Enceladus.
Few Indicies(NDVI... etc) performed on ERDAS software using Model Maker
The document describes how to create indices in ERDAS Model Maker to highlight different land features in satellite imagery. It provides the formulas and instructions to build models to create the Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Turbidity Index (NDTI), Normalized Difference Pond Index (NDPI), and Modified Normalized Difference Water Index (MNDWI). For each index, it lists the band math formula used and explains that the output will highlight the targeted land features.
Steps for Principal Component Analysis (pca) using ERDAS software
Principal component analysis is a technique that uses orthogonal transformation to convert correlated variables into a set of uncorrelated variables called principal components. The document provides steps to perform principal component analysis in ERDAS, including opening an input file, specifying the number of desired components and output file, and viewing the output layers. The first few layers highlight different features like urban areas, water regions, and vegetation.
Digitising using ERDAS software
The document discusses digitization using ERDAS software. It explains how to open ERDAS, import a raster image, and create new vector layers as shapefiles to digitize polygon, line, and point features from the raster image. For each feature type, the user selects the shapefile type, uses the vector toolbox to draw the features, and generates an output file depicting only that feature type. It concludes by mentioning the ability to combine all digitized layers.
Map to Image Georeferencing using ERDAS software
The document provides steps to georeference a satellite image using ERDAS software. It involves opening the image and a georeferenced toposheet in separate viewers, selecting ground control points that match features in both, and using a polynomial geometric model to resample the image. At least 4 GCPs should be selected to georeference the image, which can then be verified using swipe and transparency tools to check the alignment of features.
Developing Efficient Web-based GIS Applications
The document discusses technologies for developing efficient web-based GIS applications. It describes mapping technologies like static map renderers, slippy maps, and Flash mapping. It also covers database technologies like Oracle, SQL Server, and normalization. Development standards discussed include web wireframing, languages like ASP and PHP, protocols like SOAP, and a three-tier architecture. The conclusion recommends Flash mapping or slippy maps, Oracle database, wireframing, SOAP protocol, and a three-tier architecture for developing efficient web-based GIS applications.
GIS software
Esri is a leading GIS software and services company founded in 1969. It develops the ArcGIS software suite used by about 70% of GIS professionals. ArcGIS includes desktop, server, and mobile GIS products. The desktop component allows authoring, analysis, and mapping of geospatial data. Server products enable deployment of GIS functionality across organizations. Mobile products integrate GIS with GPS and location services for field data collection.
GEOPROCESSING IN QGIS
This document discusses various geoprocessing tools available in QGIS for manipulating spatial data. It describes tools such as convex hull, buffer, union, intersect, clip, symmetrical difference, and dissolve. For each tool, it provides a definition, explains how to use the tool in QGIS, and shows an example of the output layer. The document serves as a guide to common geoprocessing tasks and spatial analysis that can be performed in QGIS.
Remote Sensing And GIS Application In Mineral , Oil , Ground Water MappingMin...
Remote sensing and GIS techniques can be used to map minerals, oil, and groundwater. For minerals, accommodation zones between faults can localize magmatic material and mineralized fluids, and be identified in satellite images showing brecciation and fault patterns. Oil and gas exploration uses airborne magnetic and gravity surveys integrated with high resolution satellite imagery and DEMs for 3D visualization. Groundwater mapping involves literature review, image interpretation to create spatial databases, field reconnaissance, spatial analysis of data, and identifying recommended recharge structures by analyzing IRS satellite images, groundwater table maps, DEM elevation data, and resistivity curve modeling from electrical soundings.
Remote Sensing And GIS Application In Wetland Mapping
This document discusses remote sensing and GIS applications for wetland mapping. It begins by defining wetlands and describing some of the largest in the world. The three main criteria for identifying wetlands - hydric soils, hydrophytic vegetation, and hydrology - are introduced. Remote sensing data, including IRS P6 LISS III imagery, is used to map wetlands in Karnataka, India. Indices like NDWI, MNDWI, NDVI, and NDPI are calculated from the multi-spectral bands to identify wetland areas. GIS is then used to analyze and interpret the remote sensing data spatially and temporally. Final maps are produced showing the distribution and types of wetlands identified in India and specifically
More from Swetha A (11)
MISSION TO PLANETS (CHANDRAYAAN,MAVEN,CURIOSITY,MANGALYAAN,CASSINI SOLSTICE M...
MISSION TO PLANETS (CHANDRAYAAN,MAVEN,CURIOSITY,MANGALYAAN,CASSINI SOLSTICE M...
Few Indicies(NDVI... etc) performed on ERDAS software using Model Maker
Few Indicies(NDVI... etc) performed on ERDAS software using Model Maker
Steps for Principal Component Analysis (pca) using ERDAS software
Steps for Principal Component Analysis (pca) using ERDAS software
Remote Sensing And GIS Application In Mineral , Oil , Ground Water MappingMin...
Remote Sensing And GIS Application In Mineral , Oil , Ground Water MappingMin...
Remote Sensing And GIS Application In Wetland Mapping
Remote Sensing And GIS Application In Wetland Mapping
Recently uploaded
Building RAG with self-deployed Milvus vector database and Snowpark Container...
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Communications Mining Series - Zero to Hero - Session 1
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
UiPath Test Automation using UiPath Test Suite series, part 5
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
with AI-powered low-code, presentation by George Aspiotis, Sr. Partner Development Manager, Microsoft
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Securing your Kubernetes cluster_ a step-by-step guide to success !
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Recently uploaded (20)
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Climate Impact of Software Testing at Nordic Testing Days
Climate Impact of Software Testing at Nordic Testing Days
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
“Building and Scaling AI Applications with the Nx AI Manager,” a Presentation...
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Glacier and snow
- 1. Remote Sensing And GIS Applications In Glacier And Snow Cover Studies By Swetha A 5WD12CGI15
- 2. Introduction •Snow : Atmospheric water vapor frozen into ice crystals and falling in light white flakes or lying on the ground as a white layer. •Glacier : are large masses of snow, recrystallized ice and rock debris that accumulate in great quantities and begin to flow outwards and downwards under the pressure of their own weight •Snow cover : ground covered with snow showing some depth •Sea ice : Sea ice is simply frozen ocean water .Found in remote polar oceans
- 3. What is the cryosphere? • Some places on Earth are so cold that water is a solid—ice or snow. Scientists call these frozen places of our planet the "cryosphere." (snow , ice, glacier, sea ice, ice selves ice bergs, frozen ground) • The Arctic • Antarctica • And In between (snow on Mount Kilimanjaro is in Africa )
- 4. Types of Glaciers • Ice Sheets • Ice Shelves • Ice Caps • Ice Streams • Ice fields • Mountain Glaciers • Valley Glaciers • Piedmont Glaciers • Cirque Glaciers • Hanging Glaciers • Tidewater Glaciers
- 5. Types of snow cover • New snow • Firn • Névé • Old snow • Seasonal snow • Perennial snow • Powder snow
- 6. Distribution of glaciers and ice around the world. • The GLIMS project (Global Land Ice Measurements from Space) is currently creating a unique glacier inventory storing critical information about the extent and rates of change of the world's estimated 160,000 glaciers.
- 9. Snow Cover (1 month - Terra/MODIS) April 1, 2013 00:00-May 1, 2013 00:00
- 10. Arctic Sea Ice Maps of September ice extent for 1980, 2007, 2008, 2009, 2010 and 2011
- 11. Arctic Sea Ice Acquired September 14, 1984 Acquired September 13, 2012
- 12. • These snow cover maps are made from observations collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Terra satellite. • Snow cover values range from medium blue (greater than 0 percent) to white (100 percent). • Landmasses that do not sustain snow cover and places where MODIS did not collect data are gray or black. • Because MODIS relies on visible light to assess snow cover, the sensor cannot collect data over the highest latitudes of the Northern Hemisphere during winter when no sunlight reaches those regions.
- 13. MODIS ( Moderate Resolution Imaging Spectroradiometer ) • Is a key instrument aboard the Terra and Aqua satellites. • Terra was launched on December 18, 1999, and Aqua was launched on May 4, 2002 • Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. • Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths • 1,000-m, 500-m, and 250-m resolution spectral bands • Works in visible region .
- 14. • The Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA’s Aqua satellite capture this view of the Chesapeake Bay region
- 15. • Lake Michigan, South. The true color image (left) while the false color ice cover image (right) is derived from the MODIS/Terra Snow Cover. Image courtesy of NSIDC. (National Snow and Ice Data Center)
- 16. • Patagonian glaciers, including Los Glaciares National Park and the Moreno Glacier. Chile and Argentina. • The Vatnajokull glacier is the largest in Iceland. • Glacial moraine near Zermatt, Switzerland. Glaciers on Landsat GeoCover Satellite Images
- 21. GISGIS ofof Qinghai-Tibet PlateauQinghai-Tibet Plateau
- 22. GIS ofGIS of thethe Region alongRegion along thethe Qinghai-Tibet highway and railQinghai-Tibet highway and rail
- 23. Chinese glacier
- 26. Baffin Island towards east with ASTER image draped over ASTER-derived DEM. Snow cover
- 27. Normalized Difference Snow Index (NDSI)
- 30. GIS TOOL TO COMPARE SIMULATED AND REMOTELY SENSED SNOW-COVER OBSERVATIONS • A GIS (geographic information system)-based Snow-Cover Comparison Tool (SCCT)
- 31. Snow and Glacier Melt Run
- 32. The Himalayas abut or cross five countries: Bhutan, India, Nepal, China, and Pakistan
- 36. Karakoram region, and in the Greater Himalayan Range
- 37. Thickening Of Karakoram Glaciers In Himalayas • Map of Khurdopin Glacier, a surge-type glacier, during 2000-2008. The yellow polygon shows the area where the thinning rate (and thus the ablation rate) is averaged. PHOTO: CNES 2008 / Distribution Spot Image
- 38. Do glaciers and snow affect people? • Glaciers Provide Drinking Water • Glaciers Irrigate Crops • Glaciers Help Generate Hydroelectric Power • Recreation Skiing and snowboarding Snowshoeing Snowmobiling
- 39. Are glaciers and snow dangerous? • Flooding Caused By A Glacier • Avalanches From Glaciers • The Threat Of Icebergs • Snow Avalanches • Ice Storm • Blizzard • Thunder Snow
- 40. Snow & glacier melting due to • Global warming(0.32° increase) • Greenhouse effect • Climatic change • Land use changes • Deforestation (increase in atmospheric methane )
- 41. Conclusion • Polar Satellites • 518A - Preserving Glaciers and Polar Regions (Iceland, Finland and Chile ) • Monitoring Of Snow Cover • Instrument development • Seasonal changes monitoring • Microwave Images
- 42. References • National Snow And Ice Data Center (NSIDC) • Snow Cover And Glacier Change Study In Nepalese Himalaya Using Remote Sensing And Geographic Information System By Arun Bhakta Shrestha1 And Sharad Prasad Joshi2 • Mapping Glacier Variations From 1990 To 2006in The Central Mongolian Altai By Brandon Scott Krumwiede • Monitoring Receding Of Glaciers And In North-eastern Pakistan Through Geo-informatics Techniques By Umair Bin Zamir
- 43. The end Any queries ?