nasaharvest

cropharvest

Open source remote sensing dataset with benchmarks

presto

Lightweight, Pre-trained Transformers for Remote Sensing Timeseries

crop-mask

End-to-end workflow for generating high resolution cropland maps

openmapflow

Rapid map creation with machine learning and earth observation data.

togo-crop-mask

An LSTM to generate a crop mask for Togo

kenya-crop-mask

Annual and in-season crop mapping in Kenya

crop-maml

Learning to predict crop type from heterogeneous sparse labels using meta-learning

timl

Task-Informed Meta-Learning

ml-for-remote-sensing

https://nasaharvest.github.io/ml-for-remote-sensing/iclr2023/

dora

Domain-agnostic Outlier Ranking Algorithms (DORA) - SMD cross-divisional use case demonstration of AI/ML

street2sat

croptype-mapping-gsn

[Coming soon] Code for crop type classification with growth stage normalization method proposed in:

mlhub

A python library for interacting with https://mlhub.earth

us-inseason-phenorm

Code for in-season crop type mapping with phenology normalization in US Corn Belt

nasaharvest.github.io

Github-hosted website for information about Harvest projects

ckan

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.

glam-api

Global Agriculture Monitoring System (GLAM) Django backend & API

glam_data_processing

Python package for the downloading and processing of data files in the NASA Harvest GLAM system

octvi

Python package for downloading, mosaicking, or compositing MODIS-scale NDVI imagery

spatialhadoop-example

An example of how to use SpatialHadoop as an external library