Stars
Single-species, Multi-species, and Integrated Spatial Occupancy Models
Code for generating multi-resolution gridded maps (rasters) of vegetation structure from GEDI spaceborne lidar.
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
Code and tutorial materials for the analysis of 2D, 2.5D, and 3D spatial patterns
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
boost data pipeline's tangibility, enhance research productivity, reduce work anxiety
A series of Jupyter notebook to learn Google Earth Engine with Python
Open-source codes and annotated datasets in CVEO recent work "Object-based Classification Framework of Remote Sensing Images with Graph Convolutional Networks" on IEEE Geoscience and Remote Sensing…
R package for working with spatial absorbing Markov chains
Quantifying the impact of protected areas using waterbird trend data
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
aria2 is a lightweight multi-protocol & multi-source, cross platform download utility operated in command-line. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink.
Interactive application for systematic conservation planning
Airborne LiDAR data manipulation and visualisation for forestry application
A classification framework to enhance your habitat distribution models
Individual tree crown delineation in optical remote sensing images
An open source library and framework for deep learning on satellite and aerial imagery.
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification