MagdaHa

MagdaHa's Stars

• microsoft/PlanetaryComputerExamples

  Examples of using the Planetary Computer

  Language:Jupyter Notebook386188

• microsoft/AIforEarthDataSets

  Notebooks and documentation for AI-for-Earth-managed datasets on Azure

  Language:Jupyter Notebook28744

• pamoroso/free-python-books

  Python books free to read online or download

  4.8k673

• chrieke/awesome-geospatial-companies

  :globe_with_meridians: List & Map of 700+ companies for geospatial jobs (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)

  Language:Python74382

• martibosch/pylandstats

  Computing landscape metrics in the Python ecosystem

  Language:Python8416

• Andi1974/Forest-degradation-monitoring

  Repository for technical data dealing with (semi)-evergreen forest degradation monitoring

  2615

• r-spatialecology/belg

  Boltzmann entropy of a landscape gradient

  Language:R185

• ytarazona/forestools

  Tools for detecting deforestation and forest degradation

  Language:Python31

• mapbiomas-brazil/amazon

  Repository for Amazon biome classification codes.

  Language:Python611

• mapbiomas-brazil/user-toolkit

  A repository for MapBiomas data accessing in Google Earth Engine

  Language:JavaScript10433

• eMapR/LT-GEE

  Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

  Language:JavaScript19965

• e-sensing/sits

  Satellite image time series in R

  Language:R48979

• brazil-data-cube/wtss.py

  Python Client API for Web Time Series Service

  Language:Python159

• Azure/azureml-sdk-for-r

  Azure Machine Learning SDK for R

  Language:R10640

• 16EAGLE/basemaps

  A lightweight package for accessing basemaps from open sources in R 🗺️

  Language:R5817

• ranghetti/sen2r

  Find, Download and Process Sentinel-2 Data

  Language:R16442

• r-spatial/rgee

  Google Earth Engine for R

  Language:R695147

• 16EAGLE/LaTeX_nametags

  A simple LaTeX template for creating event nametags

  Language:TeX4

• ronjalappe/azraq

  Spatio-temporal Remote Sensing analysis of the Azraq wetland (Jordan). Course work within M.Sc. EAGLE.

  Language:R21

• Esri/raster-deep-learning

  ArcGIS built-in python raster functions for deep learning to get you started fast.

  Language:Python19388

• Esri/arcgis-python-api

  Documentation and samples for ArcGIS API for Python

  Language:Python1.9k1.1k

• renelikestacos/Google-Earth-Engine-Python-Examples

  Various examples for Google Earth Engine in Python using Jupyter Notebook

  Language:Jupyter Notebook315124

• malinfischer/phenoTS

  R package for phenological time-series analyses - MB2 18/19

  Language:HTML3

• kr-stn/awesome-sentinel

  curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data

  54567

• bleutner/RStoolbox

  Remote Sensing Data Analysis in R 🛰

  Language:R26983

• Esri/raster-functions

  A curated set of lightweight but powerful tools for on-the-fly image processing and raster analysis in ArcGIS.

  Language:Python19781