A geospatial raster processing library for machine learning
-
Updated
Nov 13, 2023 - Python
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
An early-stage, cross-platform interactive application and rendering framework.
It contains Google Earth Engine codes (JavaScript API) to process Sentinel-1 and Landsat 8 images to compute SAR and optical vegetation indices.
Source code for the publications on "a non-linear Granger-causality framework to investigate climate–vegetation dynamics", by Papagiannopoulou et al., GMD & ERL 2017
Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.
An ongoing attempt to faithfully bring PlantStudio Botanical Illustration Software (1998) into a modern artistic pipeline.
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
Python interface to the ProSAIL leaf/canopy reflectance model
Procedural EzTree vegetation primitives for CesiumJS.
Object-Based Image Analysis Tools for Radiative Transfer Modeling
Massive airborne laser altimetry (ALS) point cloud and digital elevation model (DEM) processing library.
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.
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.
To associate your repository with the vegetation topic, visit your repo's landing page and select "manage topics."