A Jupyter-Book containing data recipes for creating HyP3 Sentinel-1 IINSAR_GAMMA and INSAR_ISCE_BURST Small Baseline Subset (SBAS) Time Series Analyses with MintPy

Explanation to key concepts in ML

Community Datasets added by users and made available for use at large

Django web application to collect geospatial features and manage feature collection among groups of users

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands

GeMiSe- AN INTEGRATED PLATFORM FOR GEOLOGICAL, MININING, AND SEISMIC DATASETS FOR OPEN RESEARCH

Geospatial Data Analysis for detecting and analyzing coal mines.

Training and inference scripts for the submission by SkyServe in the PhiSat-2 Orbital AI challenge

A C++ library and associated command line tools designed to create terrain tiles for use in the Cesium JavaScript library

Geospatial resources for web development 🌍 🗺️

Shape files and Geojson files for various categories of India.

coal mine detection using deep learning models

Awesome 3D Tiles

3D geographic visualization library

Small 3D wind turbine simulator in browser using Three.js library

A Python library for modelling and processing 2.5D terrains using a (2D) Delaunay triangulation.

Resources for deep learning with satellite & aerial imagery

Google Earth Engine App - Tamil Nadu LandUse LandCover classification - Random Forest Classifier

Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective…

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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…

Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery…

Turns Data and AI algorithms into production-ready web applications in no time.

The codes required for our paper "Transformers, more than meets the eye: employing full waveforms for coseismic landslide prediction"

This code is for the paper "PolSAR Image Classification based on Deep Convolutional Neural Networks and Wavelet Transformation" that is published in the IEEE Geoscience and Remote Sensing Letters j…

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

Mastering Geospatial Analysis with Python, published by Packt