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).

Because using satellite data shouldn't be rocket science, neither in code nor in hardware.

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.

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

A pure Julia package for querying and downloading Landsat data.

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.

Open-source workflow for detecting, screening, and validating woody vegetation change across floodplain wetlands using Digital Earth Australia Land Cover, Water Observations, Landsat Surface Reflectance NBART, Wetlands Insight Tool outputs, ANAE wetland boundaries, and river gauge data for hydrological interpretation.

R-function for cloud, cloud shadow and/or snow masking of Landsat Collection-2 Level-2 Products and product bundles using the Quality Assessement band (QA_PIXEL).