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TreeMortNet is a Python package for predicting individual tree-level mortality using NAIP imagery and lidar-derived tree crown polygons. It uses a pre-trained residual convolutional neural network …
Elevate your AI research writing, no more tedious polishing ✨
Analyzing and Visualizing Plant Trait Multilayer Networks
Geospatial resources for web development 🌍 🗺️
Deep learning system; Docker image access; Pypi package; GEE access; image segmentation; density estimation; dataset open; pre-trained models open; PNAS Nexus publication
Classify forest edges using a canopy height and canopy mask
Simulations to model the effect of forest edge on carbon storage
Landscape fragmentation and connectivity analysis
This repository provides guides, short how-tos, and tutorials to help users access and work with data from the Global Ecosystem Dynamics Investigation (GEDI) mission.
This project uses satellite images on Google Earth Engine to predict canopy height and estimate carbon content in the University of Malaya forest area.
Tools for classifying landforms from digital elevation models
Topographic edge detection of fault scarps and other landforms in digital elevation data
Preparation of species occurrences and distribution data for the use in phylogenetic analyses. SpeciesgeocodeR is built for data exploration and data analysis and especially suited for biogeographi…
Code relevant for the manuscript "Climate change reshuffles northern species within their niches"
Resources for deep learning with satellite & aerial imagery
A curated list of awesome 3D point cloud denoising papers
GlobalGeoTree: A Multi-Granular Vision-Language Dataset for Global Tree Species Classification
Repo for tools to calculate landscape metrics in Google Earth Engine
Codes used in the analysis of GPP balance and WUE trends over unchanged forest core areas over Europe.
An R tool for ecological and forestry research
LTER Metacommunity Synthesis Working Group
rtry: Preprocessing Plant Trait Data