There are 5 repositories under vegetation topic.
A replacement for Unity's terrain vegetation shader with alpha blended rendering and touch bending effect
A geospatial raster processing library for machine learning
Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.
A collection of digital forestry tools for Matlab/Octave
Create numerous stylized grass blades with this highly performant and scalable HDRP grass asset that makes use of VFX Graph.
Forest Vegetation Simulation (FVS) - Growth and Yield Modeling software
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
Object-Based Image Analysis Tools for Radiative Transfer Modeling
Mapping vegetation properties in Google Earth Engine using GPR models and the Sentinel-2 L1C product.
A runtime object scattering/vegetation authoring, streaming and rendering tool for Unity optimised for instanced rendering a very large number of placed items.
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
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 of software.
This repository contains a study how we can examine the vegetation cover of a region with the help of satellite data. The notebook in this repository aims to familiarise with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.
XType extension for WeeWX to provide solar energy, "GrĂĽnlandtemperatursumme" (a kind of growing degree days) and "dayET" and "ET24" as some kind of opposite to "dayRain" and "rain24"
A first order radiative transfer model for soil- and vegetation related parameter retrievals from radar-data
This repository contains the code used for the analysis in the paper "Zhang et al. Direct and indirect impacts of urbanization on vegetation growth across the world’s cities" publised in Science Advances
A procedural, obstacle avoiding, tree mesh generation tool for Unity.
Source code of my procedural distribution system of vegetation for my master thesis in 2019.
Retrieval of plant traits from hyper- and multispectral remote sensing data with SCOPE model inversion
An R-package to calculate Land Productivity Dynamics using variables derived from Earth Observation imagery.
Sentinel-2 Top-Of-Atmosphere Radiometric Uncertainty Propagator (Graf et al., 2023, IEEE-JSTARS)
Code for McCormick et al., 2021 (Nature), "Widespread woody plant use of water stored in bedrock"
Some scripts to add wind to any tree and grass in Unity (built-in)
Recognize vegetation patches in Irish natural places
The latest version of SUNTANS model with vegetation, sediment transport, subgrid, culvert and hybrid vertical coordinate.
A rapid floodfill tool for foliage textures.
QGIS module for calculating Vegetation Indexes on Sentinel-2 multispectral images. There is two branches: "Master" supports photographs downloaded from scihub and "landviewer" stands for photographs downloaded from eos-landviewer.
Continuous foliar cover maps of vegetation species and aggregates for North American Beringia (arctic and boreal Alaska and Yukon).
Python package to run the NICHE Vlaanderen model
A series of jupyter notebook pipelines for processing lidar point clouds (LAS files) and deriving vegetation structure metrics.
Crop classification of Krishna and Godavari delta
Clustering vegetative areas in ISRO Resourcesat-1,2 satellite images to extract crop cycle parameters. For a cool Landsat-8 visualization project, click on the link below.