A geospatial raster processing library for machine learning

Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.

Forest Vegetation Simulation (FVS) - Growth and Yield Modeling software

Modular, GPU-capable land surface model of the CliMA Earth System Model, designed for data-driven parameterizations

A collection of digital forestry tools for Matlab/Octave

A scalable implimentation of HANTS for time sereis reconstruction in remote sensing on Google Earth Engine platform

Create numerous stylized grass blades with this highly performant and scalable HDRP grass asset that makes use of VFX Graph.

It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.

An early-stage, cross-platform interactive application and rendering framework.

Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017

A framework for building next-generation differentiable and GPU-accelerated land and ecosystem models in Julia.

Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.

Python interface to the ProSAIL leaf/canopy reflectance model

R package dedicated to the PROSAIL canopy reflectance model. The package allows running PROSAIL in direct and inverse modes, with various inversion strategies. A tutorial can be found on the gitlab website

Get Sentinel-2 data from Google Earth Engine or from cloud-optimized geotiffs in AWS Open data registry maintained by Element84, and compute biophysical parameters using SNAP Biophysical processor algorithm.

Object-Based Image Analysis Tools for Radiative Transfer Modeling

Massive airborne laser altimetry (ALS) point cloud and digital elevation model (DEM) processing library.

A runtime object scattering/vegetation authoring, streaming and rendering tool for Unity optimised for instanced rendering a very large number of placed items.

This repo contains the training webpage and hands-on tutorials for users to learn the fundamental characteristics of GEDI spaceborne lidar for real-world applications and explore GEDI data with tips for contextualized quality preparation.

A first order radiative transfer model for soil- and vegetation related parameter retrievals from radar-data