A geospatial raster processing library for machine learning
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Updated
Nov 13, 2023 - Python
A geospatial raster processing library for machine learning
A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform
Python coding that takes images acquired using a Near-Infrared (NIR) converted camera and generates a modified Normalized Differential Vegetation Index (NDVI). Contains standalone with colorbar legend and batch versions. ENDVI and SAVI Indexes also available and with greyscale options.
QGIS module for calculating Vegetation Indexes on Sentinel-2 multispectral images. There is two branches: "Master" supports photographs downloaded from scihub and "landviewer" stands for photographs downloaded from eos-landviewer.
Feed an AOI --> get the vegetation report
Using time series machine learning models to predict crop growth and processing image field data collected by IoT units as part of an AgAID internship
Calculating NDVI(vegetation index in russian)/ Вычисление NDVI (вегетационного индекса)
Script for automatic processing of Sentinel 2 images from Open Hub.
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