Geospatial Analysis Knowledge
We provide practical and informative knowledge to get used to with Geospatial technology in various applications from beginner level to become an expert.
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This content shows the specification of THEOS/Thaichote (Thai satellite), information of flood in Vietnam, comparison of pre-disaster image (Landsat-8) and post-disaster image (THEOS) by different methods such as color composite,...
This content presents Differential SAR Interferometry or DInSAR analysis with GMTSAR (on Linux based OS, download DEM, prepare directories for processing). The case study is Nepal earthquake in 2015 using...
This content presents step by step of Differential SAR Interferometry or DInSAR analysis in SNAP. The case study is Kumamoto Earthquake using Sentinel-1.
This content shows how to make a color composite in ENVI. The case study was flood disaster in Myanmar in 2017.
This content presents flood detection using during flood image by thresholding and classification method in QGIS.
This content shows how to make a color composite in QGIS. The case study was flood disaster in Vietnam in 2017.
This content presents concept and methodology of SAR Interferometry technique (software, and processing steps based on GMTSAR)
This content presents Synthetic Aperture Radar (SAR) applications for many disaster cases, including floods, landslides, and earthquakes.
This content presents for basic of Synthetic Aperture Radar (SAR) including its geometry, how the image is created, essential parameters, interpretation, SAR sensor specification, and advantages and disadvantages.
This content shows how to download OSM shapefile, use geo-reference tool, analyses terrain (slope, hill-shade, aspect), and terrain profile tool.
This content presents how to classify satellite image by QGIS Semi-automatic classification plugin. It includes pre-processing, create a region of interest (AOI), and applying classification methods.
This content shows how to download data from USGS explorer, color composition for Landsat-8 and Sentinel-2, extract specific area, and remote sensing indices (NDVI and NDWI) using raster calculator.