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
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
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
An early-stage, cross-platform interactive application and rendering framework.
Python interface to the ProSAIL leaf/canopy reflectance model
Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.
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 Collection of Python Codes that work in QGIS (Quantum GIS) that work on Orthomosaic Maps Generated by Aerial Photogrammetry Software such as the free to use VisualSFM or commercial software DroneDeploy or PIX4D. The Goal of these codes is to create free to use classification and NDVI on orthomosaics generated using freeware or trial versions o…
A framework for building next-generation differentiable and GPU-accelerated land and ecosystem models in Julia.
XType extension for WeeWX to provide solar energy, "Grünlandtemperatursumme" (a kind of growing degree days) and "dayET" and "ET24" as some kind of opposite to "dayRain" and "rain24"
Retrieval of plant traits from hyper- and multispectral remote sensing data with SCOPE model inversion
Add a description, image, and links to the vegetation topic page so that developers can more easily learn about it.
To associate your repository with the vegetation topic, visit your repo's landing page and select "manage topics."