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

Earth Observation Data Access Gateway

An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

On-Demand Earth System Data Cubes (ESDCs) in Python

cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)

Download and processing framework for MODIS imagery. The package provides automated access to the global online data archives LP DAAC, LAADS and NSIDC as well as processing capabilities such as file conversion, mosaicking, subsetting and time series.

A ninja python package that unifies the Google Earth Engine ecosystem.

cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery

ActiveModel + Redis

A Google Earth Engine API (interactive dashboard) for satellite-based global climate hazard analysis (urban heat, landcover changes, etc). Project under World Bank Group. ⬇️ ⬇️

Command-line application for visualizing data from CloudSat and CALIPSO satellites

Sentinel 2 and Landsat 8 Atmospheric correction

MODIS Assimilation and Processing Engine

All the code in this branch will be python based, upon jupyter notebook. You will be able to find all codes for Google Earth Engine(GEE) on this repository. You will be able to link code with each post blog on readme file for each folders. Content from the Blog https://kaflekrishna.com.np will be uploaded here. https://google-earth-engine.com/

Access data from the MODIS web service and perform quality filtering in Python

The Awesome Spectral Indices Streamlit App.