Abdullah-Al-Fatta's Stars
facebook/docusaurus
Easy to maintain open source documentation websites.
google/earthengine-api
Python and JavaScript bindings for calling the Earth Engine API.
patrickloeber/MLfromscratch
Machine Learning algorithm implementations from scratch.
acgeospatial/awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
WillKoehrsen/machine-learning-project-walkthrough
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
samapriya/awesome-gee-community-datasets
Community Datasets added by users and made available for use at large
chrieke/awesome-geospatial-companies
:globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
GeoStat-Framework/GSTools
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
DOI-USGS/dataRetrieval
This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services.
microsoft/landcover
Land Cover Mapping
NASAARSET/ARSET_ML_Fundamentals
Repository for Jupyter Notebook examples associated with the NASA ARSET Training, "Fundamentals of Machine Learning for Earth Science"
acgeospatial/Satellite_Imagery_Python
Sample scripts and notebooks on processing satellite imagery Python Geospatial raster
mmann1123/pyGIS
pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep learning applications. -- Under Development --
DOI-USGS/dataretrieval-python
Python package for retrieving water data from USGS or the multi-agency Water Quality Portal
deep-learning-indaba/indaba-pracs-2023
Notebooks for the Practicals at the Deep Learning Indaba 2023.
momaabna/QGPTAgent
The QGPT Agent is a powerful plugin for QGIS that utilizes the advanced natural language processing capabilities of the OpenAI GPT model to automate various processes in QGIS. With this plugin, users can interact with the QGIS software using natural language commands, significantly reducing the time and effort required to complete various tasks.
OpenTopography/OT_3DEP_Workflows
Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data
agr-ayush/Landsat-Time-Series-Analysis-for-Multi-Temporal-Land-Cover-Classification
LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.
hydroclimali/XEE_tutorial
parulnith/Satellite-Imagery-Analysis-with-Python
Getting acquainted with the concept of satellite imagery data and how it can be analyzed to investigate real-world environmental and humanitarian challenges.
GlobalHydrologyLab/AquaSat
Monitoring water quality from space!
microsoft/landcover-orinoquia
Land cover mapping of the Orinoquía region in Colombia, in collaboration with Wildlife Conservation Society Colombia. An #AIforEarth project
gee-community/sar-asf-to-gee
Facilitates transferring on-demand SAR products processed by ASF's HyP3 to Google Earth Engine.
waleedgeo/lulc_py
A framework for land-use classification using open sourced python based geospatial modules.
SERVIR-Amazonia/Peru-tensorflow-training
A GitHub repository for the TensorFlow Training held in Peru (August 8th-11th)
jupflug/SnowModel
miqbalf/GEE_notebook_Forestry
Notebook of Google Earth Engine Python API
ERSSLE/ordinary_kriging
Ordinary Kriging Interpolation
tnc-ca-geo/SAGE
kashingtonDC/kaweah_wb