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GIS Data Collection Methods
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Remote Sensing
Remote Sensing involves collecting information about objects or areas from a distance, typically from aircraft or satellites. Use-case: Land use analysis, environmental monitoring.
GPS (Global Positioning System)
GPS is a satellite-based system for determining precise locations on Earth by triangulating signals. Use-case: Accurate geolocation for mapping applications.
GIS Databases
GIS Databases are specialized databases designed to store, query, and manipulate geographic information and spatial data. Use-case: Managing large datasets for analysis and decision-making in spatial planning.
Field Surveys
Field Surveys involve direct measurement and observation of the physical world at specific locations. Use-case: Ground-truthing for validating remote sensing data.
Mobile GIS
Mobile GIS integrates mobile technology with geographic information systems allowing field data collection and validation. Use-case: Real-time data collection and updates while on the move.
Photogrammetry
Photogrammetry is the science and technology of obtaining reliable information about physical objects through the process of recording, measuring, and interpreting photographic images. Use-case: Generating maps from aerial photographs.
Total Station
Total Station is a surveying instrument that combines an electronic theodolite with an electronic distance meter. Use-case: Precise measurement of angles and distances for creating detailed maps.
LiDAR (Light Detection and Ranging)
LiDAR is a remote sensing method that uses light in the form of a pulsed laser to measure ranges to the Earth. Use-case: Creating high-resolution maps, topography, and vegetation analysis.
UAV (Unmanned Aerial Vehicle) Surveys
UAV Surveys involve the use of drones equipped with sensors to collect data over specific areas. Use-case: High-resolution imaging for agricultural monitoring, disaster assessment, and construction planning.
Volunteered Geographic Information (VGI)
VGI is the harnessing of tools to create, assemble, and disseminate geographic data provided voluntarily by individuals. Use-case: Crowdsourcing spatial data for projects like OpenStreetMap.
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