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    21 repositories

    • crop-mask

      Public
      End-to-end workflow for generating high resolution cropland maps
      Jupyter Notebook
      •
      Apache License 2.0
      •30•103•39•4•Updated Dec 3, 2024Dec 3, 2024

    • street2sat

      Public
      Jupyter Notebook
      •3•10•8•0•Updated Nov 28, 2024Nov 28, 2024

    • glam-api

      Public
      Global Agriculture Monitoring System (GLAM) Django backend & API
      Python
      •0•0•0•0•Updated Nov 25, 2024Nov 25, 2024

    • openmapflow

      Public
      Rapid map creation with machine learning and earth observation data.
      Python
      •
      Apache License 2.0
      •87•67•21•0•Updated Nov 21, 2024Nov 21, 2024

    • yield

      Public
      MIT License
      •0•0•0•0•Updated Nov 20, 2024Nov 20, 2024

    • nasaharvest.github.io

      Public
      Github-hosted website for information about Harvest projects
      HTML
      •4•0•7•1•Updated Jun 14, 2024Jun 14, 2024

    • presto

      Public
      Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
      Python
      •
      MIT License
      •31•193•11•0•Updated May 1, 2024May 1, 2024

    • cropharvest

      Public
      Open source remote sensing dataset with benchmarks
      Jupyter Notebook
      •
      Creative Commons Attribution Share Alike 4.0 International
      •43•173•31•4•Updated Apr 30, 2024Apr 30, 2024

    • ml-for-remote-sensing

      Public
      https://nasaharvest.github.io/ml-for-remote-sensing/iclr2023/
      HTML
      •5•13•0•1•Updated May 18, 2023May 18, 2023

    • dora

      Public
      Domain-agnostic Outlier Ranking Algorithms (DORA) - SMD cross-divisional use case demonstration of AI/ML
      TeX
      •
      MIT License
      •3•12•14•1•Updated Jan 7, 2023Jan 7, 2023

    • timl

      Public
      Task-Informed Meta-Learning
      Python
      •4•16•1•0•Updated Dec 15, 2022Dec 15, 2022

    • us-inseason-phenorm

      Public
      Code for in-season crop type mapping with phenology normalization in US Corn Belt
      Python
      •2•2•0•0•Updated Oct 25, 2021Oct 25, 2021

    • crop-maml

      Public
      Learning to predict crop type from heterogeneous sparse labels using meta-learning
      machine-learningagricultureremote-sensingmeta-learning
      Python
      •4•18•0•0•Updated Jun 17, 2021Jun 17, 2021

    • kenya-crop-mask

      Public
      Annual and in-season crop mapping in Kenya
      machine-learningagricultureremote-sensing
      Python
      •14•23•0•0•Updated Jun 8, 2021Jun 8, 2021

    • glam_data_processing

      Public archive
      Python package for the downloading and processing of data files in the NASA Harvest GLAM system
      Python
      •
      MIT License
      •1•0•0•0•Updated Feb 10, 2021Feb 10, 2021

    • octvi

      Public
      Python package for downloading, mosaicking, or compositing MODIS-scale NDVI imagery
      Python
      •
      MIT License
      •3•0•0•0•Updated Feb 10, 2021Feb 10, 2021

    • togo-crop-mask

      Public
      An LSTM to generate a crop mask for Togo
      machine-learningagricultureremote-sensingearth-observationsentinel-2
      Python
      •8•28•0•0•Updated Nov 12, 2020Nov 12, 2020

    • croptype-mapping-gsn

      Public
      [Coming soon] Code for crop type classification with growth stage normalization method proposed in:
      Jupyter Notebook
      •5•6•0•0•Updated Aug 24, 2020Aug 24, 2020

    • ckan

      Public
      CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, europeandataportal.eu/data, data.humdata.org among many other sites.
      Python
      •
      Other
      •2k•0•0•0•Updated Aug 6, 2020Aug 6, 2020

    • mlhub

      Public
      A python library for interacting with https://mlhub.earth
      Jupyter Notebook
      •0•3•0•0•Updated Mar 31, 2020Mar 31, 2020

    • spatialhadoop-example

      Public
      An example of how to use SpatialHadoop as an external library
      Java
      •
      Other
      •3•0•0•0•Updated May 10, 2016May 10, 2016