🖼️ 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

Resources about using LLMs beyond a chatbot.

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

forestr R package

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.

A Python package for Remote Sensing Data Analysis

Code and models for efficient training on the BigEarthNet dataset for Land Use Land Cover classification

Corn Soy Data Layer

Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.

R package for deep learning image segmentation

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.