All the code in this branch will be python based, upon jupyter notebook. You will be able to find all codes for Google Earth Engine(GEE) on this repository. You will be able to link code with each …

This repository provides inference code to compute canopy height maps from aerial images, as described in the paper "Very high resolution canopy height maps from RGB imagery using self-supervised v…

Tutorial of fundamental remote sensing and GIS methodologies using open source software in python

Open Source Framework for Chilean Wildfire Spreading

Geostatistics in Python

GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…

Variogram analysis, simple kriging, kriging variance & sequential gaussian simulation

Manual Ordinary Kriging and Sequential Gaussian Simulation for Facies Model

[TGRS 2023] Official implementation for 'Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification'

This repository contains the code used in the paper: A high-resolution canopy height model of the Earth. Here, we developed a model to estimate canopy top height anywhere on Earth. The model estima…

Image segmentations of trees outside forest

Benchmark dataset for tree detection for airborne RGB, Hyperspectral and LIDAR imagery

Code and figures for Heisig, J.; Olson, E.; Pebesma, E. Predicting Wildfire Fuels and Hazard in a Central European Temperate Forest Using Active and Passive Remote Sensing. Fire 2022, 5, 29. https:…

create sankey diagrams with matplotlib

🌎 An R package for spatial and spatiotemporal GLMMs with TMB

Trait-Driven Models of Ecology and Evolution 🌲

Kriging Toolkit for Python

This repository contains the Python code for the UN-SPIDER Recommended Practice on Burn Severity Mapping.

Tutorials and content created by Earth Engine users, for Earth Engine users

A novel hybrid cellular automata model for LUC simulation, coupling area partitioning and spatiotemporal neighborhood features learning

Geographical Data Processing in the Cloud

Course material for the Foundation in Computational Plant Science course at Michigan State University

Forest Fuels from Brown's Transects