modis

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.

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

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

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

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

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

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.

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

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

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

Fast and efficient access to MODIS, VIIRS and GPM Earth Observation data with R

Sentinel 2 and Landsat 8 Atmospheric correction

ActiveModel + Redis

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

MODIS Assimilation and Processing Engine

卫星遥感-数据处理、分析与反演-Python实现

Source codes for groundwater pumping prediction using integrated remote sensing datasets and machine learning