Geospatial analysis on Google's infrastructure, Google Earth Engine.
-
Updated
Jan 7, 2018 - JavaScript
Geospatial analysis on Google's infrastructure, Google Earth Engine.
Web application which uses farm location coordinates and predicts normalized difference vegetation index values for the next month using neural networks.
Land and Vegetation Remote Sensing - A webapp build and deployed in Google Earth Engine, to calculate the Normalised Vegetation Difference Index of a visible vegetation cover and use the same to analyze the health and age of that patch. The datasats used are GEE calibrated Landsat 7 rasters and the sensor used is ETM 2+ (Enhanced Thematic Mapper).
Drought analysis with Google Earth Engine. (Compare SPEI with NDVI anomalies)
Code used to create NDVI change detection maps from Sentinel-2 imagery on the Google Earth Engine platform.
GEE, an open-source platform, for fast computation to Spatio-temporal analysis of satellite data.
Common Codes for Google Earth Engine.
Spectral indices to highlight vegetation using LANDSAT images.
GEE code for pixel-based land cover classification with Random Forest (RF) algorithm, and for NDVI time series visualization.
Mangrove Ecosystem Mapping Using Multisumber Images (Sentinel-2A and Sentinel-1) Using Cloud-Based Computing In Balikpapan Bay in 2019 and 2022.
MODIS NDVI data is processed to create a time series visualization for the Nyando catchment area within the Lake Victoria Basin.
Add a description, image, and links to the ndvi topic page so that developers can more easily learn about it.
To associate your repository with the ndvi topic, visit your repo's landing page and select "manage topics."