The Secret Geography of Your Smartphone: Mapping the Global Race for Critical Minerals
The Secret Geography of Your Smartphone: Mapping the Global Race for Critical Minerals Read More »
Vegetation indices like NDVI enhance real-time farming, enabling precise management and improved crop health.
Comprehensive Guide to Datasets Available in Google Earth Engine: A Complete Overview
Comprehensive Guide to Datasets Available in Google Earth Engine: A Complete Overview Read More »
The tool in Google Earth Engine allows users to extract and export building footprints interactively from satellite imagery.
Extracting Building Footprints Using Google Earth Engine’s Open Buildings Dataset Read More »
The Chlorophyll Vegetation Index (CVI) estimates chlorophyll content by comparing NIR and green/red-edge reflectance, reducing soil interference.
The Infrared Percentage Vegetation Index (IPVI) measures NIR reflectance proportion relative to total (NIR + Red), assessing vegetation health.
ReNDVI, FDI, and MCARI/OSAVI are indices that assess vegetation health and chlorophyll content effectively.
Red-Edge Normalized Difference Vegetation Index (RENDVI) Read More »
Difference Vegetation Index (DVI)
Difference Vegetation Index (DVI) Read More »
ARVI, SAVI, and MSAVI are vegetation indices improving remote sensing accuracy in various environmental conditions.
Atmospherically Resistant Vegetation Index (ARVI) Read More »
The NDGI is a spectral index used to quantify greenness, primarily associated with the presence of chlorophyll in vegetation. It is similar in concept to the NDVI (Normalized Difference Vegetation Index), but it uses the green band instead of the near-infrared band.
Normalized Difference Greenness Index (NDGI) Read More »
The TSAVI, OSAVI, and GVMI are vegetation indices for estimating vegetation health and water content.
The Transformed Soil Adjusted Vegetation Index (TSAVI) Read More »
