This document discusses the importance of participatory geographic information systems (PGIS) for natural resource management and planning. PGIS combines geo-spatial tools like maps, imagery and GPS to represent local spatial knowledge and facilitate discussion, analysis and decision making. It gives voice to local communities in challenges like sustainable resource use, disaster risk reduction and access to clean water. Case studies show how PGIS approaches like participatory mapping and spatial analysis can help plan infrastructure like wells while balancing community needs and environmental protection. While beneficial, PGIS requires addressing issues like power imbalances and managing community expectations. Overall, PGIS is a useful tool for collaborative and community-based natural resource governance.
GPS has become a standard surveying technique due to its ease of use and reduced hardware costs. There are several GPS surveying techniques that can be used singly or in combination depending on the required accuracy, equipment availability, and project conditions. The most common techniques are static, fast static, kinematic, pseudo-kinematic and real-time kinematic. Each technique has advantages and limitations regarding accuracy, efficiency and data collection requirements. Careful planning is important to select the appropriate technique(s) for a given project.
The document provides an overview of GPS (Global Positioning System) including:
- GPS uses 24 satellites and their ground stations as reference points to calculate positions accurate to within meters.
- It works globally in all weather and allows users to determine their location, velocity, and time.
- GPS was originally developed by the US Department of Defense but is now widely used by civilians as well as the military.
The Global Positioning System (GPS) uses satellites and receivers to locate positions on Earth. GPS satellites continuously transmit radio signals that are used by receivers to calculate their position using trilateration. The GPS system consists of space, control, and user segments - with satellites in space transmitting signals, control stations monitoring the satellites and sending corrections, and users employing receivers. A receiver needs signals from at least three satellites to determine a two-dimensional position, and four or more for greater accuracy.
Hardware and software requirements for gisSumant Diwakar
This document discusses hardware and software requirements for geographic information systems (GIS). It recommends minimum hardware specifications for basic GIS tasks including processors, RAM, display, disk space, and operating systems. Larger projects may require more powerful dual or quad core machines. A variety of proprietary GIS software packages are also listed from vendors like ESRI, Autodesk, Intergraph, and others. Organizations should evaluate their goals, applications, data needs, and budgets to determine the best GIS hardware and software solutions.
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 VECTORRaster 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
Microwave remote sensing uses both passive and active sensors operating within the wavelength range of 1mm to 1m. Passive sensors such as microwave radiometers record naturally emitted energy, while active sensors like synthetic aperture radar (SAR) generate their own electromagnetic signals. SAR is an example of side-looking radar that uses signal processing to synthesize a very long antenna and improve azimuth resolution. Radar imagery exhibits characteristics like penetration of vegetation and clouds, day/night imaging, and sensitivity to surface properties. However, it also shows distortions from terrain relief and speckle noise from signal interference.
Information regarding cadastral mapping and various survey techniques.
Well touch to technical student regarding the cadastral mapping its benefits to their career.
GPS has become a standard surveying technique due to its ease of use and reduced hardware costs. There are several GPS surveying techniques that can be used singly or in combination depending on the required accuracy, equipment availability, and project conditions. The most common techniques are static, fast static, kinematic, pseudo-kinematic and real-time kinematic. Each technique has advantages and limitations regarding accuracy, efficiency and data collection requirements. Careful planning is important to select the appropriate technique(s) for a given project.
The document provides an overview of GPS (Global Positioning System) including:
- GPS uses 24 satellites and their ground stations as reference points to calculate positions accurate to within meters.
- It works globally in all weather and allows users to determine their location, velocity, and time.
- GPS was originally developed by the US Department of Defense but is now widely used by civilians as well as the military.
The Global Positioning System (GPS) uses satellites and receivers to locate positions on Earth. GPS satellites continuously transmit radio signals that are used by receivers to calculate their position using trilateration. The GPS system consists of space, control, and user segments - with satellites in space transmitting signals, control stations monitoring the satellites and sending corrections, and users employing receivers. A receiver needs signals from at least three satellites to determine a two-dimensional position, and four or more for greater accuracy.
Hardware and software requirements for gisSumant Diwakar
This document discusses hardware and software requirements for geographic information systems (GIS). It recommends minimum hardware specifications for basic GIS tasks including processors, RAM, display, disk space, and operating systems. Larger projects may require more powerful dual or quad core machines. A variety of proprietary GIS software packages are also listed from vendors like ESRI, Autodesk, Intergraph, and others. Organizations should evaluate their goals, applications, data needs, and budgets to determine the best GIS hardware and software solutions.
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 VECTORRaster 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
Microwave remote sensing uses both passive and active sensors operating within the wavelength range of 1mm to 1m. Passive sensors such as microwave radiometers record naturally emitted energy, while active sensors like synthetic aperture radar (SAR) generate their own electromagnetic signals. SAR is an example of side-looking radar that uses signal processing to synthesize a very long antenna and improve azimuth resolution. Radar imagery exhibits characteristics like penetration of vegetation and clouds, day/night imaging, and sensitivity to surface properties. However, it also shows distortions from terrain relief and speckle noise from signal interference.
Information regarding cadastral mapping and various survey techniques.
Well touch to technical student regarding the cadastral mapping its benefits to their career.
Geographic information systems (GIS) are organized collections of computer hardware, software, and geographic data used to capture, store, update, manipulate, analyze, and display geographically referenced information. GIS provides spatial data depicted as points, lines, or polygons with attributes stored in tables, and can take data from various sources and integrate them into multiple layers for analysis. Common applications of GIS include agriculture, natural resource management, disaster management, and urban planning.
The document discusses the key components of a geographic information system (GIS). It describes the main components as hardware, software, data, people, procedures, and networks. It provides details on each component, including how hardware is used to capture, store and display spatial data; common GIS software and their functions; different types of spatial and attribute data; and how procedures and methods ensure quality. Topological relationships and database models used in GIS are also overviewed.
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.
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.
Image classification and land cover mappingKabir Uddin
The document introduces land cover mapping techniques using satellite images, noting that land cover represents physical materials on Earth's surface and can be mapped through analysis of remotely sensed imagery or field surveys, with accurate land cover information supporting applications like planning, disaster management, and policy development.
Remote Sensing Data Acquisition,Scanning/Imaging systemsdaniyal rustam
full of concepts about RS data acquisition scanning and imaging systems. Best for students of remote sensing. in this presentation we briefly explained the concept of scanning in remote sensing.
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.
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.
1. GIS can be used for data management efficiency through DBMS which allows storage, retrieval, and access of large amounts of spatial data.
2. Military applications include analyzing terrain for combat through GIS and remote sensing to collect spatial data to support effective decision making.
3. Other applications include mapping health facilities and diseases, tracking wildlife populations, disaster management in telecommunications, crime analysis, agriculture and mining resource planning, and property valuation for taxation.
4. Limitations include lack of awareness of GIS potential, effort to digitize analog data, technical capacity to interpret spatial data, and challenges representing 3D and 4D environmental data sets.
This document provides an overview of the Global Positioning System (GPS). It discusses what GPS is, its evolution, how it works, and its three segments: the space segment consisting of 24 satellites, the control segment of 5 ground stations, and the user segment of GPS receivers. The document outlines the information contained in GPS signals, how triangulation is used to determine position, and sources of errors like the ionosphere. It also discusses differential GPS, applications of GPS, and concludes with a bibliography.
The document discusses different types of remote sensing scanners. It describes multispectral scanners, thematic mappers, thermal scanners, and hyperspectral scanners. Multispectral scanners collect data in multiple wavelength bands using either across-track or along-track scanning. Thematic mappers were developed to improve upon multispectral scanners. Thermal scanners sense the thermal infrared wavelength range. Hyperspectral scanners record over 100 contiguous spectral bands to generate a continuous reflectance spectrum for each pixel.
Remote Sensing and GIS in Land Use / Land Cover MappingVenkatKamal1
This document discusses using remote sensing and GIS for land use/land cover mapping. It describes analyzing agricultural versus urban land to ensure development doesn't degrade farmland. Land cover refers to ground surface characteristics like vegetation or bare soil, while land use refers to how land is used, such as agriculture or recreation. The document outlines classification systems and criteria for remote sensing-based land use/land cover mapping. It also discusses digital classification techniques, global and national land use datasets, and applications of remote sensing for natural resource management and change detection analysis.
This document provides an overview of geographic information systems (GIS). It discusses that GIS combines maps with layered information about geographic features. The key components of GIS are computer systems, GIS software, procedures, data, and end users. GIS has various applications in technical areas like water resource management, environment, agriculture, as well as commercial, social, and administrative uses. GIS offers benefits over traditional paper maps and other software by allowing more efficient analysis of spatial and attribute data to support improved decision making.
This document discusses remote sensing and geographical information systems in civil engineering. It covers various topics related to remote sensing sensors including optical sensors, thermal scanners, multispectral sensors, passive and active sensors, scanning and non-scanning sensors, imaging and non-imaging sensors, and the different types of resolutions including spatial, spectral, radiometric, and temporal resolution. It provides examples and illustrations of these concepts.
- Geographic Information Systems (GIS) is a computer-based tool that allows users to create, analyze, and display spatial information. GIS integrates many types of data to provide insights.
- GIS is used widely by international organizations, private industry, and government for applications like transportation planning, environmental analysis, and disaster management. It stores geographic data in layers that can be linked by location.
- Remote sensing involves collecting information about an area from a distance, such as via satellite or aerial imagery. High resolution sensors are commonly used to create accurate base maps and infrastructure data. Remote sensing data is extracted and digitized in GIS to build geographic databases.
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.
It depicts the basic information about GPS technology and its various uses in engineering and other fields. May be useful for students of engineering and for presentation.
This document summarizes the key principles and components of the Global Positioning System (GPS). It explains that GPS uses satellites to provide location and time information to users anywhere in the world. The system has three main segments: the space segment consists of GPS satellites in orbit that broadcast signals; the control segment monitors and maintains the satellites; and the user segment includes GPS receivers that triangulate the satellite signals to determine location. It then describes the basic geometric principle of how GPS is able to locate a receiver using distance measurements to multiple satellites.
This document discusses differential GPS (DGPS), which improves the accuracy of GPS positioning. DGPS works by using a stationary base station with a known location to calculate errors in the GPS signal caused by things like ionospheric delay. This error data is transmitted to a mobile GPS receiver to correct its position. With DGPS, location can be measured to within 10 cm or less, providing a more precise position than standard GPS alone. The document outlines the history and development of DGPS, how the system works, sources of GPS errors, advantages and limitations of DGPS, and applications where DGPS is used.
Geographic information systems (GIS) are organized collections of computer hardware, software, and geographic data used to capture, store, update, manipulate, analyze, and display geographically referenced information. GIS provides spatial data depicted as points, lines, or polygons with attributes stored in tables, and can take data from various sources and integrate them into multiple layers for analysis. Common applications of GIS include agriculture, natural resource management, disaster management, and urban planning.
The document discusses the key components of a geographic information system (GIS). It describes the main components as hardware, software, data, people, procedures, and networks. It provides details on each component, including how hardware is used to capture, store and display spatial data; common GIS software and their functions; different types of spatial and attribute data; and how procedures and methods ensure quality. Topological relationships and database models used in GIS are also overviewed.
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.
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.
Image classification and land cover mappingKabir Uddin
The document introduces land cover mapping techniques using satellite images, noting that land cover represents physical materials on Earth's surface and can be mapped through analysis of remotely sensed imagery or field surveys, with accurate land cover information supporting applications like planning, disaster management, and policy development.
Remote Sensing Data Acquisition,Scanning/Imaging systemsdaniyal rustam
full of concepts about RS data acquisition scanning and imaging systems. Best for students of remote sensing. in this presentation we briefly explained the concept of scanning in remote sensing.
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.
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.
1. GIS can be used for data management efficiency through DBMS which allows storage, retrieval, and access of large amounts of spatial data.
2. Military applications include analyzing terrain for combat through GIS and remote sensing to collect spatial data to support effective decision making.
3. Other applications include mapping health facilities and diseases, tracking wildlife populations, disaster management in telecommunications, crime analysis, agriculture and mining resource planning, and property valuation for taxation.
4. Limitations include lack of awareness of GIS potential, effort to digitize analog data, technical capacity to interpret spatial data, and challenges representing 3D and 4D environmental data sets.
This document provides an overview of the Global Positioning System (GPS). It discusses what GPS is, its evolution, how it works, and its three segments: the space segment consisting of 24 satellites, the control segment of 5 ground stations, and the user segment of GPS receivers. The document outlines the information contained in GPS signals, how triangulation is used to determine position, and sources of errors like the ionosphere. It also discusses differential GPS, applications of GPS, and concludes with a bibliography.
The document discusses different types of remote sensing scanners. It describes multispectral scanners, thematic mappers, thermal scanners, and hyperspectral scanners. Multispectral scanners collect data in multiple wavelength bands using either across-track or along-track scanning. Thematic mappers were developed to improve upon multispectral scanners. Thermal scanners sense the thermal infrared wavelength range. Hyperspectral scanners record over 100 contiguous spectral bands to generate a continuous reflectance spectrum for each pixel.
Remote Sensing and GIS in Land Use / Land Cover MappingVenkatKamal1
This document discusses using remote sensing and GIS for land use/land cover mapping. It describes analyzing agricultural versus urban land to ensure development doesn't degrade farmland. Land cover refers to ground surface characteristics like vegetation or bare soil, while land use refers to how land is used, such as agriculture or recreation. The document outlines classification systems and criteria for remote sensing-based land use/land cover mapping. It also discusses digital classification techniques, global and national land use datasets, and applications of remote sensing for natural resource management and change detection analysis.
This document provides an overview of geographic information systems (GIS). It discusses that GIS combines maps with layered information about geographic features. The key components of GIS are computer systems, GIS software, procedures, data, and end users. GIS has various applications in technical areas like water resource management, environment, agriculture, as well as commercial, social, and administrative uses. GIS offers benefits over traditional paper maps and other software by allowing more efficient analysis of spatial and attribute data to support improved decision making.
This document discusses remote sensing and geographical information systems in civil engineering. It covers various topics related to remote sensing sensors including optical sensors, thermal scanners, multispectral sensors, passive and active sensors, scanning and non-scanning sensors, imaging and non-imaging sensors, and the different types of resolutions including spatial, spectral, radiometric, and temporal resolution. It provides examples and illustrations of these concepts.
- Geographic Information Systems (GIS) is a computer-based tool that allows users to create, analyze, and display spatial information. GIS integrates many types of data to provide insights.
- GIS is used widely by international organizations, private industry, and government for applications like transportation planning, environmental analysis, and disaster management. It stores geographic data in layers that can be linked by location.
- Remote sensing involves collecting information about an area from a distance, such as via satellite or aerial imagery. High resolution sensors are commonly used to create accurate base maps and infrastructure data. Remote sensing data is extracted and digitized in GIS to build geographic databases.
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.
It depicts the basic information about GPS technology and its various uses in engineering and other fields. May be useful for students of engineering and for presentation.
This document summarizes the key principles and components of the Global Positioning System (GPS). It explains that GPS uses satellites to provide location and time information to users anywhere in the world. The system has three main segments: the space segment consists of GPS satellites in orbit that broadcast signals; the control segment monitors and maintains the satellites; and the user segment includes GPS receivers that triangulate the satellite signals to determine location. It then describes the basic geometric principle of how GPS is able to locate a receiver using distance measurements to multiple satellites.
This document discusses differential GPS (DGPS), which improves the accuracy of GPS positioning. DGPS works by using a stationary base station with a known location to calculate errors in the GPS signal caused by things like ionospheric delay. This error data is transmitted to a mobile GPS receiver to correct its position. With DGPS, location can be measured to within 10 cm or less, providing a more precise position than standard GPS alone. The document outlines the history and development of DGPS, how the system works, sources of GPS errors, advantages and limitations of DGPS, and applications where DGPS is used.
This document discusses leveraging geography with information and communication technologies (ICT). It summarizes that geography is critical to information infrastructure, society, and the economy. It then discusses why ICT is needed in geography due to the large volume and graphical nature of geographical data, and how ICT has automated geoprocessing tasks over the decades. Finally, it outlines research areas in geography and an educational and research agenda to further develop the field.
Augmenting physical 3 d models with projected information to support environm...José María
This document discusses using 3D physical landscape models augmented with projected digital information to support participatory planning and knowledge exchange. It describes how 3D printed landscapes or sandboxes can have elevation data, simulation models, or other geospatial information projected onto their surfaces. This allows for interactive exploration and engagement. Case studies from Australia, Mexico, and Canada are presented that use these 3D projection-augmented landscape models (3DPALMs) for participatory planning, education, and cross-cultural knowledge sharing. The document argues that 3DPALMs provide opportunities to enhance spatial understanding and learning through their multi-sensory and dynamic nature.
This document contains a student's certificate for completing a GIS practical report under the guidance of Dr. Bharat Ratnu at Shivaji College, University of Delhi. The certificate includes the student's name, roll number, program of study, university roll number, and year. It is certified that the student successfully completed the GIS science practical report. The document also includes an acknowledgement section thanking various individuals and institutions for their support and guidance during the project. Finally, it outlines the contents of the GIS practical report, listing 5 plates covering different GIS data structures and a section on land use and land cover analysis.
This document provides information about a student named Harshit Choubey who completed a GIS science practical report under the guidance of Dr. Rajendra Singh. It includes Harshit's personal details like name, roll number, college, and year of study. It also contains a certificate confirming completion of the report and an acknowledgement section thanking various people who provided support and guidance. Finally, it outlines the contents of the GIS science practical report.
Landslide susceptibility in Chittagong district. Md. Yousuf GaziMd. Yousuf Gazi
This document summarizes a study that utilized open source spatial data to create a landslide susceptibility map for Chittagong District, Bangladesh. Researchers used a heuristic, knowledge-based approach in GIS to combine nine causative factors for landslides. The final map classified the area into five hazard classes representing different percentages of the total study area's susceptibility to landslides. This map and analysis could help with disaster risk reduction and mitigation efforts in the region by identifying at-risk areas and causes of landslides.
Application of gis & rs in urban planning sathish1446
Remote sensing uses sensors aboard satellites or aircraft to acquire spatial, spectral and temporal data about objects without physical contact. This data is digitized and processed into images. GIS is a system that integrates hardware, software and data to capture, store, analyze and display spatial or geographic information. Remote sensing and GIS are useful tools for urban planning applications such as land use/cover mapping, environmental monitoring, updating basemaps, studying urban growth, transportation systems, and site suitability analysis. GIS allows for overlaying of maps, buffering, and route analysis to support zoning, land management, emergency response and other planning needs. Together, remote sensing and GIS provide timely, reliable spatial data and analysis functions for addressing challenges
The document discusses the application of geospatial technologies in agriculture. It provides examples of how remote sensing, GIS, and GPS technologies can be used to map soil variability, detect crop health issues, monitor pests and diseases, and enable precision farming. These tools provide spatial data and analysis that can improve decision making around irrigation, fertilizer application, pest management, and more. When integrated, geospatial technologies provide valuable information to farmers and agricultural managers.
INTEGRATION OF REMOTE SENSING DATA WITH GEOGRAPHIC INFORMATION SYSTEM (GIS): ...ijmpict
Remote Sensing and Geographic information System together comprise of Geographic Information Science (GIScience) which is a core research field that tries to emphasis on advanced geographic concepts in Geographic Information System and examines the impact of GIS on individuals and society as a whole and re-examines the themes with incorporation of most recent cognitive and Information Science. The Geographic Information System can be defined as a Computer based system and a tool, both hardware,
software and procedures, which manages geospatial data, solves spatial problems, and supports collection,
storage, transformation, analyzing, retrieving and display of data in a well desired manner. The integration
of GIS and Remote Sensing is a field of research and several implementations have been developed to gain
the maximum throughput out of these collective fields as these techniques have their own data analysis and
data representation methods. The application domain of remote sensing is from a base layer for GIS to the
development of thematic datasets, obtaining and extracting data from imagery and generation of unique
spatial datasets. In my paper I have focused on the integration of both the fields along with its usage in
Analysis and Modelling and also some models of error sources due to the integration of interface of the two
techniques. The paper also describes some error sources while integration as GIS and remote sensing both
are subject to errors and uncertainty. The paper has discussed some Change Detection Techniques used in
the modern sciences with their comparison.
GIS is useful for various applications in geology. It can be used to create 3D models combining subsurface and surface data for structural and alteration studies to aid exploration. In engineering geology, GIS allows integrating layers like geology and rainfall maps to identify areas at risk for acid mine drainage. When exploring for oil, GIS helps plan and track gravity surveys ensuring correct station locations. It also provides a platform to integrate seismic, well, and remote sensing data to generate new structural maps and models. In geo-hazards, historical earthquake data in GIS helps identify high-risk areas for planning and emergency management. GIS also aids in lava flow modeling for development and evacuation planning.
Application Of GIS In Environmental EngineeringStephen Faucher
This document discusses the application of geographic information systems (GIS) in environmental engineering. It begins by providing background on GIS, explaining that GIS allows spatial data to be collected, analyzed, and used to make decisions about the environment. It then gives examples of how GIS can be used for environmental engineering tasks like mapping water pollution, assessing drought impacts, and monitoring floods. The document also outlines the basic process for a GIS analysis and discusses some key features of GIS that are useful for environmental engineers, such as mapping patterns and modeling "what if" scenarios. It concludes by providing examples of how GIS has been applied to tasks like environmental impact assessments and planning for/managing environmental hazards and risks.
Training Non-GIS Experts in the Use of Geospatial Tools & Technologies at Sta...JISC GECO
Stanford University addresses the growing need for geospatial skills by creating a centralized geospatial center in the libraries. The center provides training, data resources, consulting, and instruction to raise awareness and give students a sound foundation in geospatial concepts and software. Workshops cover topics from basic spatial understanding to advanced modeling and applications. Over 80 workshops have served over 340 students. The goal is to support geospatial learning across academic disciplines.
This document summarizes a study that used remote sensing and GIS techniques to produce a digital land use map of the Technical Institute of Anbar in Iraq. Satellite imagery and attribute data were collected and digitized in ArcGIS to create vector data layers representing land use classes. The final digital map identified destroyed buildings, service buildings, green areas, sports facilities, and unused land. It found that 20% of the institute's area contained structures while 80% was unused land. The digital map and geographic database produced can serve as a basis for future studies of the Technical Institute of Anbar.
This document summarizes a study that used remote sensing and GIS techniques to produce a digital land use map of the Technical Institute of Anbar in Iraq. Satellite imagery and attribute data were collected and digitized in ArcGIS to create vector data layers representing land use classes. The final digital map identified destroyed buildings, service buildings, green areas, sports facilities, and unused land. It found that 20% of the institute's area contained structures while 80% was unused land. The digital map and geographic database produced can serve as a basis for future studies of the Technical Institute of Anbar.
application of gis rs in urban planninggem-150307035531-conversion-gate01 (1)...Rajashekhar L
This document discusses the application of remote sensing and GIS in urban planning. It begins by defining remote sensing and GIS. It then outlines several uses of remote sensing in urban planning, such as land use/cover mapping, environmental monitoring, and updating basemaps. The document also discusses how GIS can be used as a tool in urban planning for tasks like overlay analysis, buffering, accessibility analysis, and optimal routing. Finally, it concludes that remote sensing and GIS provide useful analysis and visualization tools to help address challenges faced by urban managers and policy makers.
This document provides an overview of geospatial technology and its applications. It defines geospatial technology as a suite of technologies including GIS, remote sensing, and GPS that help capture, store, process and display spatially-referenced data. It describes new courses and an A.A.S. in Geospatial Technology offered at BCC, as well as internship opportunities with various organizations. It also discusses how geospatial technology is an emerging high-growth field and how the BCC Geospatial Center provides students opportunities to learn skills for careers in this field.
This document discusses using 3D GIS for geological mapping. It explains that GIS facilitates the production of cross sections and 3D images of buried geological features. The study area is in Istanbul, where borehole data provided z-values to create a 3D model in GIS of variations in soil grain size with depth. Real 3D GIS allows more realistic visualization of subsurface structures compared to pseudo 3D GIS supplemented with 2D maps.
This document outlines a seminar presentation on the application of GIS in civil engineering. It introduces GIS and describes its objectives and various applications in civil engineering fields like transportation, watershed analysis, structural engineering, and more. It also discusses the advantages and disadvantages of GIS as well as software used in GIS. The presentation was given by Sahil Naikwade under the guidance of Prof. Lohit Talawar at the Department of Civil Engineering for the 2021-2022 academic year.
This document provides a training report on thematic mapping through remote sensing and GIS techniques in Siwani area, Bhiwani, Haryana, India. It acknowledges the support received from Haryana Space Applications Centre (HARSAC) in providing facilities and guidance for the summer training project. The project aimed to prepare base maps, land use/land cover maps, and geomorphology maps of the study area. It also aimed to familiarize the author with GIS techniques for map preparation and with using global positioning systems. The report includes chapters on the study area description, data and methodology used, and results and discussion of the project.
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PPGIS IN NATURAL RESOURCES MANAGEMENT
1. Presented by
Arfanara Najnin
M2012188@isegi.unl.p
t
MSc in Geospatial
Technologies
2. "As global population
continues to
grow, mankind must learn
to balance consumption
and conservation of the
planet's scarce
commodities. GIS
technology brings a new
perspective to the
challenges faced by
natural resource
managers...“ Laura Lang
MSc in Geospatial
Technologies
3. Natural Resources
What is PGIS
Study aim & objectives
Knowledge Discovery
Brief history of PPGIS
Reflection of NRM&P
Why PGIS in NRM&P?
Approaches of good PGIS
Methods of PGIS in NRM
Some negative aspects of PGIS
Case studies
Documentaries & initiatives
Critical reasoning & conclusion
References MSc in Geospatial
Technologies
4. Natural resources are naturally occurring
substances that are considered valuable in their
relatively unmodified natural form
(Source, Wikipedia)
NRM is the management of land, water, soil, plants
& animals, with a particular focus on sustainability
Like energy, conservation of natural resources is
equally important
Spatial based Information is the base for natural
resource management & planning (NRM&P)
MSc in Geospatial
Technologies
5. PGIS combines a range of geo-spatial management
tools and methods such as sketch maps, participatory
3D Modelling, aerial photographs, satellite
imagery, GPS & GIS
It represents people’s spatial knowledge in the form of
virtual or physical, 2 or 3 dimensional maps used as
interactive vehicles for spatial
learning, discussion, information exchange, analysis
decision making & advocacy
(Rambaldi et al., 2006)
Giving Voice to the Unspoken……..
MSc in Geospatial
Technologies
6. Agriculture and food security
Endangered species
Forestry and wildfire
Clean water
Reclaiming brown fields
Disaster planning and recovery
Deforestation
Identifying resources at risk
MSc in Geospatial
Technologies
7. The aim of this study is to gain knowledge about the
importance of GIS technology through people’s
participation to ensure sustainable NRM & P
The specific objectives of this study are:
Identify the importance of PGIS for natural resources
management
Review knowhow about the PGIS tools & techniques for
ensuring sustainable NRM
Identify the application of PGIS in the filed of NRM&P
MSc in Geospatial
Technologies
8. Brief history of PPGIS or PGIS
Reflection of NRM&P
Why PGIS in NRM&P?
Approaches of good PGIS
Methods of PGIS in NRM
Some negative aspects of PGIS
MSc in Geospatial
Technologies
9. Participatory map creation started at late 1980s
sketch mapping using PRA
Using local knowledge to facilitate insider & outsider
Little charting course of action to the local people
The status of mapping changed in the 90s due to flow of
modern GI technologies
i.e. GIS, GPS, RS, Open sources (Internet) & web based GIS
Availability of low cost and user friendly software & computer
hardware
The new environment promote community
involvement in GIT&S which is known as PGIS
MSc in Geospatial
Technologies
10. NRM&P by considering land as 3
different but inter-related
perspectives (bind a society
together, the societal values, the
economy & ecology)
Bridges the gap between them by
which resources could be carefully
utilised for the benefits of the present The Trintarian Approach
& the future generations to NRM (Latu, 2009).
MSc in Geospatial
Technologies
11. Ensuring good governance & Sustainable NRM
& Development
sustainable resources management Good
Governance
to enable development
practitioners, government officials & PGIS
local level people to work together to
plan appropriate programs 1
Public
Ensure community-based natural (Grass root
GIS)
resource management (CBNRM) 2
3
structural knowledge distortion &
Participat
ion GIS
community empowerment (Collabora
tive
process of
(new
technolog
y GIS)
GIS)
3 x-cutting view of PPGIS
Source: Tim Nyerges 2007
MSc in Geospatial
Technologies
12. Conceptual
Understanding the local political context, culture, people &
problems
Defining good practice (including communities’ empowerment)
data models to address natural resources & ownership rights
Practical
Networking to share experiences & to help practitioners
Institutional
Institutionalizing PGIS at various levels & in different contexts
Influencing policy making
Financial
Resources
Technical (Rambaldi and Weiner, 2004)
Training & need for expertise
MSc in Geospatial
Technologies
13. Ephemeral (temporary) maps
drawing maps on the ground by using raw materials like soil, pebbles, sticks
Sketch Mapping
large sheets of Kraft paper & marker pens or chalk
Scale Mapping
ISK superimposed on a geo-coded & scaled map
PGIS spatial Analysis
local spatially referenced & non spatial data are integrated & analyzed
Participatory 3-Dimentioanal Mapping (P3DM)
large-scale relief maps made of locally available materials (e.g. carton, paper, cork)
Photomaps
Photomaps are printouts of geometrically corrected aerial photographs
Mobile devices (PDA-GPS)
pinpoint positioning and instant visual data capture
MSc in Geospatial
Technologies
14. According to Dr. Robert Chambers who elaborates on PGIS practice,
Need to learn many things that are wrong with respect
to PRA and avoid that
Taking peoples time without any recompense
Raising people's expectation &
endangering or disempowering them
Conflict within or between a group or community
through PGIS
Ethical commitment of the facilitators
Sources: http://www.iapad.org/chambers.htm
MSc in Geospatial
Technologies
15. 1. Reducing the Risk of Disasters through Participatory
3D Mapping, Philippine
2. Arsenic poisoning in Bangladesh: spatial mitigation
planning with GIS & public participation
3. Application of PGIS for Rural Community
Development & Local Level Spatial Planning System
in Sri Lanka
4. An analysis of the relationships between multiple
values & physical landscapes at a regional scale
using public participation GIS and landscape
character classification
MSc in Geospatial
Technologies
16. Steps of P3DM (as an Integrative tool for DRR)
http://www.pacificdisast
er.net/pdnadmin/data/d
ocuments/6667.html
Source: http://www.iapad.org/publications/ppgis/
MSc in Geospatial
Technologies
17. Materials uses are push-pins (for point features, yarns
(for linear features), acrylic paint (for areal
features), glue, scissors, cutter, pencils, felt
pens, masking tape, paintbrushes, carbon paper , wood
and plywood for the table, corrugated cartons, etc.
building of a 2.74 m x 2.74 m 3-dimensional map
covering the whole village of Macawayan with a land
area of 333.33 ha.
Overlapping hazard-prone areas & vulnerable assets
allows people to mitigate disaster risk in their
immediate environment
Resulted in concerted actions including both bottom-up
and top-down measures to enhance DRR
MSc in Geospatial
Technologies
18. Easy-to-update disaster
risk assessment in
Dagupan, Philippines, in
July 2009
DRR planning in
Masantol, Philippines,
in August 2009
Volcanologist, municipal
planning officer, school
principal, village chief and
locals discussing DRR in
Irosin, Philippines, Jan. 2010
MSc in Geospatial
Technologies
19. Spatial deep tubewell planning with PPGIS techniques
Selected focus-groups
for group discussion
MSc in Geospatial
Technologies
20. the focus-group participants
considered different parameters
for deep tubewell planning
They drew maps (participatory
sketching) for the locations of
deep tubewells with their buffer
zones (300 m)
Transforming the mental maps Participatory views on Map of spatial deep tube-well planning
into a GIS shows a number of
overlapping & unserved
settlement areas
one deep tubewell for each 350
people, generally who live
within a buffer distance of
300 m were considered for the
planning
Transforming participatory views of spatial deep tube-well planning
Composite mental mapping and expert views of spatial deep tube-well planningGeospatial
into a GIS. MSc in
Technologies
21. Pursuing social goals
through PGIS
Employing a Participatory
Approach in applying Geo-
Information to Spatial
Planning
Development of regional GII
for the
State, INGO, NGO, or any
other development
practitioners
This can be used as a village
plan & the livelihood
activities
Bottom-up planning process
MSc in Geospatial
Technologies
23. Steps of PPGIS
To prepare the spatial data for analysis intersected Map of study area Otago and Southland region in
the 8 PPGIS landscape values with the 6 NZLC New Zealand that includes the Otago and Southland
landscape components (landform, land regions. Mapped landscape values (n ≈ 9000) appear
cover, dominant land cover, water, water view & in the study region as points.
infrastructure) & landscape classes.
MSc in Geospatial
Technologies
24. In New Zealand the residents &
visitors identified the locations of
different landscape values (e.g.,
aesthetic, recreation, economic,
ecological, social, historical, &
wilderness values) in two regions
on the South Island
The landscape values mapped in the
process are perceptual, but grounded
in local knowledge & human
experience.
They analyzed the relationships
between these perceived values &
physical landscape features–where
human geography meets physical From the empirical landscape value/feature
geography. relationships, they generated (extrapolated) social
landscape value maps for the entire country of
New Zealand (Browna and Brabynb, 2012)
MSc in Geospatial
Technologies
25. 1. Localisation, Participation and Communication: an
Introduction to Good PGIS Practice
http://www.iapad.org/video_good-practice.htm
2. Participatory 3D Modelling the Future in Boe Boe
Community, Solomon Islands
https://vimeo.com/groups/23214/videos/32145985
Source: www.iapad.org
MSc in Geospatial
Technologies
26. The donor agencies need to understand PGIS & required not
too much, fast & bigger scale
Understanding the importance of training & not trying to rush
training
Training to the communities as well as the training facilitators
Embedding of a whole set of questions
Who gains & who loses
Whose model or map is it & who keeps it
Whose legend on the map
Who is empowered and who is disempowered
Regional Level Computer based Information System should be
established in the local administrative office with GIS
technology for project planning & monitoring
(Source: Dr. Robert Chambers)
MSc in Geospatial
Technologies
27. A PPGIS would meet ‘its claims’ as a tool for good practice
only when it can meet accountability, legitimacy,
ownership, equity & competence
we need integrated approaches as we are the world & it is
not too late to do something for us all
To make people informed in decision making process
public participatory GIS & techniques are suitable tools for
sustainable resources management
It helps to empowering the local community & awareness
raising
MSc in Geospatial
Technologies
28. B.A.U.I.KUMARA. 2008. Application of Participatory GIS for Rural Community Development
and Local Level Spatial Planning System in Sri Lanka.
BROWNA, G. & BRABYNB, L. 2012. An analysis of the relationships between multiple values
and physical landscapes at a regional scale using public participation GIS and landscape
character classification. Landscape and Urban Planning.
CHAMBERS, D. R. Dr. Robert Chambers elaborates on Participatory GIS (PGIS) practice.
Available from: http://www.iapad.org/chambers.htm [Accessed 15 th December 2012].
GAILLARD, J., CADAG, J. R. D., FELLIZAR-CAGAY, M., FRANCISCO, A. & GLIPO, A. 2011.
Reducing the Risk of Disasters through Participatory 3-Dimensional Mapping in
Irosin, Philippine. Philippines: Center for Disaster Preparedness, Philippines.
HASSAN, M. M. 2005. Arsenic poisoning in Bangladesh: Spatial Mitigation Planning with GIS
and Public Participation. Health Policy, , 74, 247-260.
LANG, L. 2003. Managing Natural Resources with GIS. New York Street, Redlands, California:
ESRI.
Rambaldi, G., & Weiner, D. (2004). Paper presented at the 3rd International Conference on
Public Participation GIS, University of Wisconsin-Madison, Madison, Wisconsin, USA.
RAMBALDI, G., MCCALL, M., KYEM, P. A. K. & WEINER, D. 2006. Participatory Spatial
Information Management and Communication in Developing Countries Electronic Journal on
Information System in Developing Countries (EJISDC), 25, 1-9.
https://vimeo.com/ctavideo/p3dm-ovalau MSc in Geospatial
Technologies
29. I want to be
alive…..
Thank you all……
MSc in Geospatial
Technologies