modisfast
modisfast: An R package for fast and efficient access to MODIS, VIIRS and GPM Earth Observation data - Published in JOSS (2024)
awesome-spectral-indices
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
MODIStsp
An "R" package for automatic download and preprocessing of MODIS Land Products Time Series
spectralindices.jl
Access and computation of any spectral index in the Awesome Spectral Indices collection natively in Julia
https://github.com/awesome-spectral-indices/spectral
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
firecam
FIRECAM: Fire Inventories - Regional Evaluation, Comparison, and Metrics
MODIS
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.
ee_extra
A ninja python package that unifies the Google Earth Engine ecosystem.
https://github.com/awesome-spectral-indices/espectro
The Awesome Spectral Indices Streamlit App.
https://github.com/awesome-spectral-indices/awesome-asi
A curated list of Awesome Spectral Indices (ASI) resources
waterquality
Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery
satin
Functions for Reading, Visualising and Analysing Ocean Data Derived from Satellites for Oceanographic Applications
https://github.com/aalling93/ecnn-on-sar-data-and-radiometry-data
Deep learning for Synthetic Aperture Radar(SAR) and Radiometry data. An Ensemble Convolutional Neural Network workflow is implemented with data acquisition, processing, labelling, creating model, training model and launching a model
packages_gee
A repository of miscellaneous JavaScript-based packages for Google Earth Engine (GEE)
a2875cdc-ba6a-49dc-aab7-cdf7c4fc0fa8
Exploring MODIS MOD021KM and FIRMS datasets
easysnowdata
package for snow science data, providing streamlined access to satellite imagery (Sentinel-1/2, HLS, MODIS, etc), weather station data, climate reanalysis, land cover data, DEMs, and derived snow products as xarray objects.
getspatialdata
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.