modis

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

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

Earth Observation Data Access Gateway

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

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

Easily create EO mini cubes from STAC 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.

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

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

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

ActiveModel + Redis

Sentinel 2 and Landsat 8 Atmospheric correction

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

MODIS Assimilation and Processing Engine

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

cuSTNLFFM is a GPU-enabled Spatial and Temporal Non-Local Filter-based Fusion Model (STNLFFM)

The Awesome Spectral Indices Streamlit App.

A highly modular Discord bot designed for anyone to customise and self-host.