This document summarizes a seminar presentation on developing a new drought index called the Standardized Wetness Index (SWI) that considers the joint effects of climate and land surface change. The presentation reviews existing drought indices and their limitations in accounting for these effects. It then describes calculating the SWI using a residual water energy ratio fitted to a probability distribution with a parameter (n) representing climate-land surface interactions. The SWI is validated using two catchments experiencing land use changes, showing n correlates with restoration efforts and the SWI detects reported droughts. The SWI provides a way to assess dryness/wetness from both climate change alone and combined climate-land surface effects.
This document provides information about the use of Geographic Information Systems (GIS) in forest management. It discusses how GIS tools can be used to capture, store, analyze and present geospatial data. GIS allows forest managers to model and map forests, predict future conditions under different management scenarios, plan harvests and fires, and incorporate other spatial data like infrastructure, boundaries and terrain. The document concludes that as environmental issues grow in complexity, GIS will continue playing a key role in botanical science and sustainable forest management by facilitating the analysis of highly variable spatial and temporal data.
For a new better version of this tutorial see my Google Slides with embedded videos.
https://docs.google.com/presentation/d/1MftEOT3uvYpCVwUaLMhsesm5Que-Kr7GQRV4pKZ2SNQ/edit?usp=sharing
This is a 2019 tutorial on how to do watershed delineation using ArcMap 10. It is an open education resource. Please let me know if you find it useful or see something that could be improved. Feel free to use it for teaching Geographic Information Science.
drought monitoring and management using remote sensingveerendra manduri
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.
Geographic information system(GIS) and its applications in agricultureKiranmai nalla
This document presents a seminar on geographic information systems (GIS) given by Nalla Anthony Kiranmai. The seminar discusses the principles, components, functions, applications and advantages of GIS. It covers topics such as the linkage between remote sensing and GIS, vector vs raster data representation, spatial data analysis functions including overlays and buffers, and applications of GIS in fields like agriculture, land suitability analysis, and groundwater assessment. The seminar aims to provide an introduction to GIS concepts and demonstrate how GIS can be used as an integrated technology for spatial analysis and decision support.
The IKONOS satellite was launched in 1999 and has an operational life of over 7 years. It captures high resolution imagery with 0.82m panchromatic and 3.2m multispectral resolution. Its applications include mapping natural resources, disasters, agriculture, and it provides imagery for security, coastal monitoring, and 3D terrain analysis.
This document provides an overview of forests and biodiversity. It begins with definitions and classifications of forests, describing the different types of forests based on location and climate. It then discusses the many uses and benefits of forests, including providing fuel, fodder, habitat for wildlife, and regulating climate and rainfall. The document also covers causes and consequences of deforestation, as well as measures to conserve forests. It introduces biodiversity, defining it and describing the different types. It discusses the distribution of biodiversity globally and in India, threats to biodiversity from natural and human-caused factors, and approaches to conserving biodiversity through protected areas, education, and environmental legislation.
Remote sensing involves collecting information about objects without physical contact. It was first defined in the 1960s and the first earth observation satellite, Landsat-1, was launched in 1972. Remote sensing uses sensors on airborne and spaceborne platforms to detect electromagnetic radiation reflected or emitted from the object of interest. Common platforms include aircraft, balloons, and satellites. Satellites provide global coverage and frequent revisits. Remote sensing data has various applications such as agriculture, forestry, and soil mapping.
This document summarizes a seminar presentation on developing a new drought index called the Standardized Wetness Index (SWI) that considers the joint effects of climate and land surface change. The presentation reviews existing drought indices and their limitations in accounting for these effects. It then describes calculating the SWI using a residual water energy ratio fitted to a probability distribution with a parameter (n) representing climate-land surface interactions. The SWI is validated using two catchments experiencing land use changes, showing n correlates with restoration efforts and the SWI detects reported droughts. The SWI provides a way to assess dryness/wetness from both climate change alone and combined climate-land surface effects.
This document provides information about the use of Geographic Information Systems (GIS) in forest management. It discusses how GIS tools can be used to capture, store, analyze and present geospatial data. GIS allows forest managers to model and map forests, predict future conditions under different management scenarios, plan harvests and fires, and incorporate other spatial data like infrastructure, boundaries and terrain. The document concludes that as environmental issues grow in complexity, GIS will continue playing a key role in botanical science and sustainable forest management by facilitating the analysis of highly variable spatial and temporal data.
For a new better version of this tutorial see my Google Slides with embedded videos.
https://docs.google.com/presentation/d/1MftEOT3uvYpCVwUaLMhsesm5Que-Kr7GQRV4pKZ2SNQ/edit?usp=sharing
This is a 2019 tutorial on how to do watershed delineation using ArcMap 10. It is an open education resource. Please let me know if you find it useful or see something that could be improved. Feel free to use it for teaching Geographic Information Science.
drought monitoring and management using remote sensingveerendra manduri
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.
Geographic information system(GIS) and its applications in agricultureKiranmai nalla
This document presents a seminar on geographic information systems (GIS) given by Nalla Anthony Kiranmai. The seminar discusses the principles, components, functions, applications and advantages of GIS. It covers topics such as the linkage between remote sensing and GIS, vector vs raster data representation, spatial data analysis functions including overlays and buffers, and applications of GIS in fields like agriculture, land suitability analysis, and groundwater assessment. The seminar aims to provide an introduction to GIS concepts and demonstrate how GIS can be used as an integrated technology for spatial analysis and decision support.
The IKONOS satellite was launched in 1999 and has an operational life of over 7 years. It captures high resolution imagery with 0.82m panchromatic and 3.2m multispectral resolution. Its applications include mapping natural resources, disasters, agriculture, and it provides imagery for security, coastal monitoring, and 3D terrain analysis.
This document provides an overview of forests and biodiversity. It begins with definitions and classifications of forests, describing the different types of forests based on location and climate. It then discusses the many uses and benefits of forests, including providing fuel, fodder, habitat for wildlife, and regulating climate and rainfall. The document also covers causes and consequences of deforestation, as well as measures to conserve forests. It introduces biodiversity, defining it and describing the different types. It discusses the distribution of biodiversity globally and in India, threats to biodiversity from natural and human-caused factors, and approaches to conserving biodiversity through protected areas, education, and environmental legislation.
Remote sensing involves collecting information about objects without physical contact. It was first defined in the 1960s and the first earth observation satellite, Landsat-1, was launched in 1972. Remote sensing uses sensors on airborne and spaceborne platforms to detect electromagnetic radiation reflected or emitted from the object of interest. Common platforms include aircraft, balloons, and satellites. Satellites provide global coverage and frequent revisits. Remote sensing data has various applications such as agriculture, forestry, and soil mapping.
This document provides an overview of geographic information systems (GIS). It defines GIS as a tool that integrates hardware, software and data to capture, manage, analyze and display spatially referenced information. The document outlines the typical components and functional parts of a GIS, including spatial data, computer tools, and specific applications. It also discusses how GIS can be used to make better decisions, improve communication, increase efficiency and manage information geographically.
This document provides an overview of OpenStreetMap (OSM) and the World Bank's Open Data for Resilience Initiative (OpenDRI) in Nepal. It discusses how OSM allows a global community of volunteers to collaboratively map locations. OpenDRI in Nepal works to promote open data sharing and uses OSM to engage citizens in mapping activities. The summary highlights OSM's collaborative mapping platform, OpenDRI's goal of engaging citizens, and how OSM data is openly shared.
Remote sensing uses sensors on aircrafts and satellites to obtain spatial data about soil and crop conditions without physical contact. This document discusses potential applications of remote sensing in precision agriculture including using imagery to identify soil characteristics, predict yields, and schedule irrigation. Case studies are presented on using remote sensing to monitor crop variability and weeds. The document concludes that remote sensing techniques can provide a comprehensive soil and crop strategy but need improvements to be economically accessible to all farmers.
Remote sensing plays a large role in enhancing geographic information systems (GIS) by providing large amounts of data needed for GIS. It reduces the need for manual field work and allows the retrieval of data from difficult to access areas. Remote sensing imagery can directly serve as a visual aid in GIS and can indirectly provide information about land use, vegetation, and other features through analysis. As remote sensing technologies advance, they continue to increase the resolution and coverage of data available to integrate within GIS. This leads to more accurate and detailed geographic information systems.
Remote sensing application in agriculture & forestry_Dr Menon A R R (The Kera...India Water Portal
This presentation by Dr A R R Menon, Emeritus scientist, CED on Remote Sensing applications in agriculture and forestry was made at at the Kerala Environment Congress, Trivandrum organised by the Centre for Environment and Development
Application of gis and remote sensing in agricultureRehana Qureshi
This document summarizes the applications of remote sensing and GIS in agriculture as presented by Rehana Khaliq. It discusses how GIS systems capture and analyze geospatial data to integrate information and perform analysis. Remote sensing is defined as obtaining information about objects without physical contact using sensors. The document outlines how remote sensing and GIS have been applied to agriculture for tasks like crop mapping and monitoring, yield estimation, and precision agriculture. It also discusses their applications in forestry, land use mapping, and urban planning. While remote sensing provides valuable data, it notes that measurement errors and data interpretation can sometimes be challenging. In conclusion, the document argues that remote sensing and GIS are promising tools to enhance sustainable agriculture and development through
This document provides an introduction to health GIS. It defines key terms like geography, geospatial, health geography and GIS. It discusses the history of GIS in health, including Dr. John Snow's use of maps to study the 1854 London cholera outbreak. The document outlines applications and advantages of health GIS, basic techniques like spatial analysis and overlay, and proposes developing a health GIS layer for Sri Lanka to improve data management, decision making and policy.
This document discusses geographic information systems (GIS) and their applications in public health. GIS allows users to capture, store, analyze and visualize spatial health data on maps. It has been used historically to identify relationships between location and disease. Today, GIS supports public health planning and management by helping to optimize resource allocation, target interventions, and monitor disease trends and the impact of interventions over time.
This document provides an overview of principles of geographic information systems (GIS). It defines GIS as a system for capturing, storing, analyzing and displaying spatially referenced data. The document discusses GIS hardware, software, data models and applications in various fields such as agriculture, environment, forestry and more. It also addresses common questions GIS can answer related to location, patterns, trends and more.
This document defines and describes Digital Elevation Models (DEMs). It discusses that DEMs are 3D representations of land surface elevation from various data sources. There are two main types of DEMs - raster and vector (TIN). Data can be captured through remote sensing, photogrammetry, or land surveys. Free global DEMs are available from sources like SRTM, ASTER, and ALOS. DEMs have many applications including terrain analysis, hydrology, mapping, and more.
Remote sensing uses instruments like satellites to acquire information about the Earth that can help with disaster management. Geographic information systems (GIS) are computer tools that analyze geographic features and spatially referenced data. Together, remote sensing and GIS can map vulnerable areas, track disasters over time, and help with emergency response by identifying shelter locations and distributing relief effectively. A case study on a 2013 cyclone in India demonstrated how remote sensing data from multiple dates was analyzed in a GIS to monitor the storm and support disaster risk reduction activities.
The document presents a presentation on Geographic Information Systems (GIS). It includes sections on what GIS is, its capabilities and components. GIS is a computer system for capturing, storing, analyzing and managing geographic information and spatial data. The key components of a GIS include hardware, software, data and people. GIS has many applications and uses spatial data and analysis to solve problems across many different domains.
Mumbai University, T.Y.B.Sc.(I.T.), Semester VI, Principles of Geographic Information System, USIT604, Discipline Specific Elective Unit 2: Data Management and Processing System
Presentation on remote sensing & gis and watershed copydivya sahgal
The document discusses watershed management and provides definitions, concepts, and techniques related to watersheds. It defines a watershed as a natural hydrological unit drained by a stream system. Watershed management is described as guiding and organizing land and resource usage in a watershed to sustain the environment, particularly soil and water resources. Remote sensing and GIS techniques can be used to collect and analyze spatial data on watershed characteristics to inform watershed planning and management. The document outlines strategies, concerns, and approaches to watershed management aimed at prevention and restoration.
This document discusses the key functions of a geographic information system (GIS). It explains that a GIS allows users to capture, store, query, analyze, display and output geographic data. It describes the vector and raster data models used to store spatial data. The document also outlines the three main views of a GIS - the geovisualization view which includes maps, the geodata view which is the spatial database, and the geoprocessing view which involves tools to transform and derive new information from existing datasets. Finally, it discusses some key concepts for GIS maps including layers, features, attributes, and scale.
The document discusses Geographic Information Systems (GIS) and presents information on:
- The history and definition of GIS and how it allows users to integrate and analyze spatial data layers.
- Types of GIS software including desktop GIS like QGIS, web-based GIS, and geobrowsers like Google Earth.
- Features of GIS like handling large datasets, data integration and unique analysis methods.
- An example project mapping electrical assets in India using tools like QGIS, Google Earth, and the MAPinr app.
This document provides an overview of a regional drought assessment and mitigation project in Southwest Asia. It summarizes the project objectives to identify gaps in drought management and suggest improvements. It describes the development of a remote sensing-based drought monitoring system, hazard and vulnerability analyses, socioeconomic surveys, and an assessment of water harvesting technologies. The document outlines partners in India, Pakistan, and Afghanistan and discusses outputs including a drought monitoring website, software, and recommendations to shift from crisis to risk management through improved data, planning, and policies. It concludes by presenting the objectives and anticipated outputs of the regional workshop.
WATERSHED MANAGEMENT - INTRODUCTION
DEFINITION, CONCEPTS OF WATERSHED DEVELOPMENT, OBJECTIVES, INTEGRATED AND MULTI DISCIPLINARY APPROACHES, CHARACTERISTICS OF WATERSHED
Remote sensing involves obtaining information about objects through sensors without direct contact. It has applications in many fields including urban planning, agriculture, forestry, and land use mapping. Some key information obtained from remote sensing includes crop acreage, forest resource mapping, flood damage assessment, and monitoring of changes over time. Advantages include rapid information updating, infrastructure monitoring, and improved decision making for management and planning.
una buena y una alternativa mas de cada uno de los elementos del clima, asi sucesivbamente, tales como se muestra en el siguiente documento mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm juuh kkk jjhhh mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm jjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj hyhhhh dsjsjjs s jdkdk s uuwuwuwuw owowow uuwuwuwuw wowowowowow owowowow owwowowowo
The document discusses a view-based mediated web service architecture called DataFed that federates distributed environmental science data sources. DataFed uses wrappers to provide uniform access to over 100 datasets from different providers. It allows tools to overlay, compare and fuse data in near real-time and delayed integration. The system delivers diverse information products to users through a service-oriented architecture and third-party mediation that homogenizes distributed data sources.
This document provides an overview of geographic information systems (GIS). It defines GIS as a tool that integrates hardware, software and data to capture, manage, analyze and display spatially referenced information. The document outlines the typical components and functional parts of a GIS, including spatial data, computer tools, and specific applications. It also discusses how GIS can be used to make better decisions, improve communication, increase efficiency and manage information geographically.
This document provides an overview of OpenStreetMap (OSM) and the World Bank's Open Data for Resilience Initiative (OpenDRI) in Nepal. It discusses how OSM allows a global community of volunteers to collaboratively map locations. OpenDRI in Nepal works to promote open data sharing and uses OSM to engage citizens in mapping activities. The summary highlights OSM's collaborative mapping platform, OpenDRI's goal of engaging citizens, and how OSM data is openly shared.
Remote sensing uses sensors on aircrafts and satellites to obtain spatial data about soil and crop conditions without physical contact. This document discusses potential applications of remote sensing in precision agriculture including using imagery to identify soil characteristics, predict yields, and schedule irrigation. Case studies are presented on using remote sensing to monitor crop variability and weeds. The document concludes that remote sensing techniques can provide a comprehensive soil and crop strategy but need improvements to be economically accessible to all farmers.
Remote sensing plays a large role in enhancing geographic information systems (GIS) by providing large amounts of data needed for GIS. It reduces the need for manual field work and allows the retrieval of data from difficult to access areas. Remote sensing imagery can directly serve as a visual aid in GIS and can indirectly provide information about land use, vegetation, and other features through analysis. As remote sensing technologies advance, they continue to increase the resolution and coverage of data available to integrate within GIS. This leads to more accurate and detailed geographic information systems.
Remote sensing application in agriculture & forestry_Dr Menon A R R (The Kera...India Water Portal
This presentation by Dr A R R Menon, Emeritus scientist, CED on Remote Sensing applications in agriculture and forestry was made at at the Kerala Environment Congress, Trivandrum organised by the Centre for Environment and Development
Application of gis and remote sensing in agricultureRehana Qureshi
This document summarizes the applications of remote sensing and GIS in agriculture as presented by Rehana Khaliq. It discusses how GIS systems capture and analyze geospatial data to integrate information and perform analysis. Remote sensing is defined as obtaining information about objects without physical contact using sensors. The document outlines how remote sensing and GIS have been applied to agriculture for tasks like crop mapping and monitoring, yield estimation, and precision agriculture. It also discusses their applications in forestry, land use mapping, and urban planning. While remote sensing provides valuable data, it notes that measurement errors and data interpretation can sometimes be challenging. In conclusion, the document argues that remote sensing and GIS are promising tools to enhance sustainable agriculture and development through
This document provides an introduction to health GIS. It defines key terms like geography, geospatial, health geography and GIS. It discusses the history of GIS in health, including Dr. John Snow's use of maps to study the 1854 London cholera outbreak. The document outlines applications and advantages of health GIS, basic techniques like spatial analysis and overlay, and proposes developing a health GIS layer for Sri Lanka to improve data management, decision making and policy.
This document discusses geographic information systems (GIS) and their applications in public health. GIS allows users to capture, store, analyze and visualize spatial health data on maps. It has been used historically to identify relationships between location and disease. Today, GIS supports public health planning and management by helping to optimize resource allocation, target interventions, and monitor disease trends and the impact of interventions over time.
This document provides an overview of principles of geographic information systems (GIS). It defines GIS as a system for capturing, storing, analyzing and displaying spatially referenced data. The document discusses GIS hardware, software, data models and applications in various fields such as agriculture, environment, forestry and more. It also addresses common questions GIS can answer related to location, patterns, trends and more.
This document defines and describes Digital Elevation Models (DEMs). It discusses that DEMs are 3D representations of land surface elevation from various data sources. There are two main types of DEMs - raster and vector (TIN). Data can be captured through remote sensing, photogrammetry, or land surveys. Free global DEMs are available from sources like SRTM, ASTER, and ALOS. DEMs have many applications including terrain analysis, hydrology, mapping, and more.
Remote sensing uses instruments like satellites to acquire information about the Earth that can help with disaster management. Geographic information systems (GIS) are computer tools that analyze geographic features and spatially referenced data. Together, remote sensing and GIS can map vulnerable areas, track disasters over time, and help with emergency response by identifying shelter locations and distributing relief effectively. A case study on a 2013 cyclone in India demonstrated how remote sensing data from multiple dates was analyzed in a GIS to monitor the storm and support disaster risk reduction activities.
The document presents a presentation on Geographic Information Systems (GIS). It includes sections on what GIS is, its capabilities and components. GIS is a computer system for capturing, storing, analyzing and managing geographic information and spatial data. The key components of a GIS include hardware, software, data and people. GIS has many applications and uses spatial data and analysis to solve problems across many different domains.
Mumbai University, T.Y.B.Sc.(I.T.), Semester VI, Principles of Geographic Information System, USIT604, Discipline Specific Elective Unit 2: Data Management and Processing System
Presentation on remote sensing & gis and watershed copydivya sahgal
The document discusses watershed management and provides definitions, concepts, and techniques related to watersheds. It defines a watershed as a natural hydrological unit drained by a stream system. Watershed management is described as guiding and organizing land and resource usage in a watershed to sustain the environment, particularly soil and water resources. Remote sensing and GIS techniques can be used to collect and analyze spatial data on watershed characteristics to inform watershed planning and management. The document outlines strategies, concerns, and approaches to watershed management aimed at prevention and restoration.
This document discusses the key functions of a geographic information system (GIS). It explains that a GIS allows users to capture, store, query, analyze, display and output geographic data. It describes the vector and raster data models used to store spatial data. The document also outlines the three main views of a GIS - the geovisualization view which includes maps, the geodata view which is the spatial database, and the geoprocessing view which involves tools to transform and derive new information from existing datasets. Finally, it discusses some key concepts for GIS maps including layers, features, attributes, and scale.
The document discusses Geographic Information Systems (GIS) and presents information on:
- The history and definition of GIS and how it allows users to integrate and analyze spatial data layers.
- Types of GIS software including desktop GIS like QGIS, web-based GIS, and geobrowsers like Google Earth.
- Features of GIS like handling large datasets, data integration and unique analysis methods.
- An example project mapping electrical assets in India using tools like QGIS, Google Earth, and the MAPinr app.
This document provides an overview of a regional drought assessment and mitigation project in Southwest Asia. It summarizes the project objectives to identify gaps in drought management and suggest improvements. It describes the development of a remote sensing-based drought monitoring system, hazard and vulnerability analyses, socioeconomic surveys, and an assessment of water harvesting technologies. The document outlines partners in India, Pakistan, and Afghanistan and discusses outputs including a drought monitoring website, software, and recommendations to shift from crisis to risk management through improved data, planning, and policies. It concludes by presenting the objectives and anticipated outputs of the regional workshop.
WATERSHED MANAGEMENT - INTRODUCTION
DEFINITION, CONCEPTS OF WATERSHED DEVELOPMENT, OBJECTIVES, INTEGRATED AND MULTI DISCIPLINARY APPROACHES, CHARACTERISTICS OF WATERSHED
Remote sensing involves obtaining information about objects through sensors without direct contact. It has applications in many fields including urban planning, agriculture, forestry, and land use mapping. Some key information obtained from remote sensing includes crop acreage, forest resource mapping, flood damage assessment, and monitoring of changes over time. Advantages include rapid information updating, infrastructure monitoring, and improved decision making for management and planning.
una buena y una alternativa mas de cada uno de los elementos del clima, asi sucesivbamente, tales como se muestra en el siguiente documento mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm juuh kkk jjhhh mmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmmm jjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjjj hyhhhh dsjsjjs s jdkdk s uuwuwuwuw owowow uuwuwuwuw wowowowowow owowowow owwowowowo
The document discusses a view-based mediated web service architecture called DataFed that federates distributed environmental science data sources. DataFed uses wrappers to provide uniform access to over 100 datasets from different providers. It allows tools to overlay, compare and fuse data in near real-time and delayed integration. The system delivers diverse information products to users through a service-oriented architecture and third-party mediation that homogenizes distributed data sources.
The document describes Modis Product Extractor, a tool for extracting data from MODIS HDF files. MODIS collects data from NASA satellites about the Earth's surface and atmosphere. MODIS products contain information about various parameters like land cover, vegetation, and atmosphere. Modis Product Extractor allows users to extract data from HDF files for MODIS products through a simple interface. It has tabs for extracting data and specifying regions of interest. Users select files, variables, and extraction options, and can then export the extracted data. The tool facilitates access and use of MODIS satellite data.
3.- Integrating environmental data in ModestR (Version ModestR v5.3 or higher) modestrsoftware
This document provides a step-by-step tutorial for integrating and using environmental data in the ModestR software. It describes how to import environmental data in ASCII grid format from sources like the Bio-Oracle dataset. It then demonstrates how to visualize the data on maps in ModestR, clip the data for a specific area, and export the clipped raster files for further use. The tutorial also explains how integrated environmental data can be overlaid on distribution maps and exported in images.
This document provides an overview of obtaining data and information from the Multi-angle Imaging SpectroRadiometer (MISR) instrument. It describes the various MISR data products and how to access imagery, find documentation, order and customize data using online tools from the Atmospheric Science Data Center. It also reviews terminology used in MISR data and demonstrates tools for converting between orbit numbers and dates, finding path/block information for specific locations, and visualizing orbit paths on a map.
The document provides an overview of the NASA EOSDIS survey that is conducted annually to measure user satisfaction. Some key points:
- The survey uses the American Customer Satisfaction Index (ACSI) methodology and results are reported to the Office of Management and Budget.
- It describes the process for conducting the survey through an interagency agreement. The survey is administered by an independent group to ensure adherence to privacy and other regulations.
- EOSDIS consists of multiple data centers that provide data to diverse user communities. The survey aims to understand user needs across the different centers.
- Response rates and satisfaction scores are reported from previous years of the survey. Areas of high and low satisfaction are identified to
Open Data Kit (ODK) is a free and open-source set of tools for mobile data collection. It allows researchers to create online forms, interface with a data server to download blank forms and submit completed forms from mobile devices even without internet access. Key components include ODK Build for authoring forms, ODK Collect for mobile data collection, and ODK Aggregate for storing submitted data. The tools make data collection more efficient, robust and cost-effective compared to paper-based methods. ODK has been successfully used in various deployments including surveys, project monitoring, and crisis mapping.
The document outlines an agile information system architecture for air quality decision support. It describes current challenges around real-time air pollution sensing, multi-sensor data integration for pollution characterization, and providing flexible support to regulators. The proposed architecture uses standard data access protocols and formats to allow distributed and heterogeneous air quality data and models to be accessed and processed through configurable workflows. This federated approach is demonstrated through two use cases: providing real-time monitoring data to inform managers and the public during a smoke event, and comparing a hemispheric aerosol transport model to surface data to improve model estimates and understand uncertainties.
End-userGatewayForClimateServicesAndDataInitiatives by Antonio Cofino, Univ ...BigData_Europe
The document describes the ECOMS User Data Gateway (UDG), which provides access to climate and weather datasets from various sources. The UDG aims to simplify access to these datasets for users by providing a single access point and handling issues like data formats and access policies. It currently offers datasets like seasonal forecasts, reanalysis data, and observations. The UDG uses OpenDAP for data access and there is an R package that allows accessing and processing data from the UDG in R. Future plans include adding more datasets and processing capabilities.
Open Data Kit (ODK) is a free and open-source set of tools for mobile data collection. It allows researchers to create online forms, interface with a central server to download forms onto mobile devices, collect data offline, and submit the data to the central server. ODK includes tools for form design (ODK Build), data collection (ODK Collect), and management and visualization (ODK Aggregate). Mobile data collection with ODK is more efficient and cost-effective than paper-based methods. It reduces data entry errors and speeds up the data collection process.
The document discusses ClickOnce deployment for .NET applications. It provides an overview of how ClickOnce works, code examples for retrieving deployment information and checking for updates, and how to control auto-updating. Partial deployment and storing data files for ClickOnce applications are also covered. The document aims to help developers better understand deployment options for smart client applications.
Population Data Workbench - Meteorology Data QueryYoosook Lee
This document provides instructions for querying annual and daily precipitation data from the Population Data Workbench meteorology site. It explains how to select a margin distance, submit a CSV file of site coordinates, view output of the nearest weather station's annual data and link to its daily data from the given year. The daily data is displayed in a pop-up window. The document notes that citing the meteorology data source is required for publications using the data.
How to use NCI's national repository of big spatial data collectionsARDC
This document provides an overview of how to access spatial data collections through the National Computational Infrastructure (NCI). It describes NCI's data catalog that contains various climate, satellite, and other geoscience datasets. The document outlines how users can browse the catalog, search for specific collections like CMIP5, and view metadata. It also explains that datasets are stored on NCI's global filesystems and made available through data services like THREDDS, which provides OPeNDAP, WMS, WCS, and other access methods. Users can find datasets, view them visually through Godiva, or download files through these services.
Analyzing Air Quality Measurements in Macedonia with Apache DrillMarjan Sterjev
This document describes using Apache Drill to analyze air quality measurement data from Macedonia. It involves collecting PM10 air quality data for various regions and stations in Macedonia through API calls. Views are then created in Drill to structure the JSON data. Finally, SQL queries are run on the views to analyze and summarize the data, such as finding the average air quality measurements by station and at different times of day.
SDOBenchmark - a machine learning image dataset for the prediction of solar f...Roman Bolzern
We take a closer look at the generation process of the SDOBenchmark.
For more information about the machine learning dataset "SDOBenchmark", go check out http://i4ds.github.io/SDOBenchmark and https://www.kaggle.com/fhnw-i4ds/sdobenchmark
This document discusses the challenges of integrating heterogeneous air quality information systems from different autonomous providers. It proposes that a loosely coupled, service-oriented architecture using standard protocols and web services can help deliver consolidated air quality data and products to diverse users. Specifically, the DataFed system developed by EPA homogenizes distributed data and allows customized analysis and reporting while respecting the autonomy of existing data systems. Overcoming organizational differences and encouraging collaboration will help further align existing stars in air quality informatics.
Big Data: Using free Bluemix Analytics Exchange Data with Big SQL Cynthia Saracco
Explains how to access free public data sets from IBM Analytics Exchange on the Bluemix cloud environment, transfer the data to BigInsights (a Hadoop-based platform), layer a Big SQL schema over the data, and query the data.
John Abrams, president of Aspect Consulting, discusses centralized database monitoring best practices. Traditional monitoring methods using maintenance plans can miss issues like backups or stopped SQL agents. Aspect's solution involves gathering data from databases into a central metadata database using SQL queries and stored procedures. It analyzes the data to detect failures and growth trends, sends single alert emails, and stores historical data for reporting. Aspect also introduces their Prodative WatchDog EMS product, which centralizes monitoring across platforms, captures trend data, and provides an easy to use and extendible web portal for viewing alerts and reports.
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2. Where to download MODIS satellite data?
Medium resolution Satellite imagery
Several data products that are derived from MODIS are available
on the web
https://lpdaac.usgs.gov/dataset_discovery/modis/modis_products
_table
MODIS data can be accessed from APPEEARS of USGS’s
Earthdata
https://lpdaacsvc.cr.usgs.gov/appeears/
MODIS has 36 bands of information
https://lpdaac.usgs.gov/dataset_discovery/modis
3. Where to download MODIS satellite data?
Any registered user of USGS’s Earthdata can access
MODIS data through APPEEARS
https://lpdaacsvc.cr.usgs.gov/appeears/
5. Extract : Area Sample using APPEEARS
Extract Explore Help
Extract > Area Sample
New request Previous request
Uplaod a JSON file
for a new request
6. Extract Explore Help
Extract > Point Sample
New request Previous request
Uplaod a JSON file
for a new request
Extract : Point Sample using APPEEARS
7. Extract Explore Help
Enter any name for identification
Start date End date
Upload a .shp or
GeoJson file
Drag extent of AOI on map
or Draw a polygon
Extract > Area Sample
Extract : Area Sample using APPEEARS
8. Extract Explore Help
Enter any name for identification
Start date End date
Upload a .csv file
Drag map to the extent of AOI
or Drop a point on the map
Upload / Enter points
Eg: point1, 18, 80
point2, 16, 77
Extract > Point Sample
Extract : Point Sample using APPEEARS
9. Extract Explore Help
Search for “Terra MODIS”
Choose Output File format GeoTIFF/ NetCDF
List of bands or files
related to search show here..
Add required files
Choose Output File Projection
Added files appear at here
Submit / Cancel order
Extract > Area / Point Sample
Extract : Selection of MODIS data using APPEEARS
10. Extract Explore Help
Choosen Output File format GeoTIFF
On clicking +
Corresponding
file added to
selection list
Choosen Output File Projection is Geographic
Added files in selection list
Submit / Cancel order
Add
7 bands
of MODISExtract > Area / Point Sample
Extract : Selection of MODIS data using APPEEARS
11. Extract Explore Help
We receive an
email notification
after the completion
of the request.
It generally
takes about one day
Extract > Area / Point Sample
Extract : Selection of MODIS data using APPEEARS
12. Extract Explore Help
To download
Go to
Explore
To view file details
& related statistics
Re-submission of
expired order
To Download
To Delete
Note: Submitted order will expire in 30days
Explore : Accessing selected MODIS data using APPEEARS
13. Extract Explore Help
Explore : Accessing selected MODIS data using APPEEARS
On clicking
Order details and
related statistics
are shown
14. Extract Explore Help
On clicking
List of files to be
downloadable
are shown
Explore : Accessing selected MODIS data using APPEEARS
15. Extract Explore Help
Note:
Download files - Download files
Save Download List - Download list of files
SHA-256 Checksums - Check if something is broken
Explore : Accessing selected MODIS data using APPEEARS