Alternatives and similar repositories for kenya-crop-mask

Users that are interested in kenya-crop-mask are comparing it to the libraries listed below

• nasaharvest / crop-mask
  End-to-end workflow for generating high resolution cropland maps
  ☆109Updated last month
• isaaccorley / hydro-foundation-model
  Hydro -- A Foundation Model for Water in Satellite Imagery
  ☆57Updated 6 months ago
• WorldCereal / worldcereal-classification
  This repository contains the classification module of the WorldCereal system.
  ☆56Updated this week
• earthpulse / pytorchEO
  PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.
  ☆46Updated 3 months ago
• sentinel-hub / eo-grow
  Earth observation framework for scaled-up processing in Python
  ☆45Updated 5 months ago
• nasaharvest / street2sat
  ☆12Updated last month
• MarcCoru / meteor
  ☆57Updated last year
• Hejarshahabi / GeoPatch
  GeoPatch is a package for generating patches from remote sensing data
  ☆53Updated 3 weeks ago
• rramosp / geetiles
  download Google Earth Engine datasets to tiles as geotiff arrays
  ☆69Updated 5 months ago
• Open-EO / openeo-community-examples
  A community-driven effort to make examples, user-defined processes and code snippets available in a single place.
  ☆48Updated last month
• NexGenMap / dl-time-series
  Deep Learning algorithms applied to characterization of Remote Sensing time-series
  ☆34Updated 5 years ago
• Prindle19 / segment-everything
  Running Segment Anything Geospatial over Earth Engine exports with Dataflow at scale.
  ☆29Updated 2 years ago
• Orion-AI-Lab / S4A
  Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning
  ☆100Updated 9 months ago
• DPIRD-DMA / OmniCloudMask
  ☆69Updated 2 weeks ago
• fitoprincipe / geecomposite
  Make cloud-free Landsat and Sentinel 2 composites using Google Earth Engine Python API
  ☆22Updated 6 months ago
• ucalyptus / EarthEngine-Deep-Learning
  Land Cover Classification based on Landsat-8 imagery from Google Earth Engine
  ☆54Updated 4 years ago
• ESA-PhiLab / OST_Notebooks
  ☆32Updated 7 months ago
• michaeltrs / DeepSatData
  Automatically create machine learning datasets from satellite images
  ☆42Updated 3 years ago
• drivendataorg / stac-overflow
  Winners of the STAC Overflow: Map Floodwater from Radar Imagery competition
  ☆52Updated last year
• spaceml-org / RaVAEn
  Official code for Unsupervised Change Detection of Extreme Events Using ML On-Board
  ☆54Updated last year
• nasaharvest / openmapflow
  Rapid map creation with machine learning and earth observation data.
  ☆76Updated 9 months ago
• fieldsoftheworld / ftw-baselines
  Code for running baseline models/experiments with the Fields of The World dataset
  ☆93Updated last week
• JavierLopatin / PhenoPY
  Phenological analysis of Remote Sensing data with Python
  ☆29Updated last year
• Servir-Mekong / sentinel-1-pipeline
  Sentinel 1 pipeline using SNAP GPT 7.0
  ☆38Updated 2 years ago
• AI4EO / enhanced-sentinel2-agriculture-challenge
  Starter-pack for the AI4EO Food Security Challenge
  ☆21Updated 2 years ago
• ESA-PhiLab / NGVEO
  Deep learning for Earth Observation
  ☆54Updated last year
• wouellette / ee-dynamic-time-warping
  ☆57Updated 2 years ago
• lewistrotter / PhenoloPy
  Python-based extractor of vegetation metrics from satellite-based vegetation time-series imagery.
  ☆85Updated last week
• charlotte-pel / igarss2019-dl4sits
  Machine learning for satellite image time series
  ☆27Updated 6 years ago
• isikdogan / deepwatermap
  a deep model that segments water on multispectral images
  ☆149Updated 2 years ago