A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Global shoreline mapping tool from satellite imagery

A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.

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).

In this repository, I share a class project in which I explored the Google Earth engine sentinel 1 SAR dataset potential to be used for flood mapping of the 2019 Gorgan flood.

A pure Julia package for querying and downloading Landsat data.

COMP 590 - Data Science for Earth @ UNC-CH Final Project, Google Earth Engine, Amazon Rainforest Classification

An open dataset for pixel level classification of Landsat 7 and Landsat Imagery. The repo contains the code for classification as well as the error correction methods on top of it.