facebookresearch / Context-Aware-Representation-Crop-Yield-PredictionLinks
Code for ICDM 2020 paper Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis
☆24Updated 4 years ago
Alternatives and similar repositories for Context-Aware-Representation-Crop-Yield-Prediction
Users that are interested in Context-Aware-Representation-Crop-Yield-Prediction are comparing it to the libraries listed below
Sorting:
- Models for the EarthNet2021 challenge.☆45Updated 3 months ago
- Starter-pack for the AI4EO Food Security Challenge☆21Updated 2 years ago
- EarthNet Models PyTorch - Deep Neural Networks for geospatial vegetation forecasting.☆35Updated 2 months ago
- A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger f…☆59Updated 11 months ago
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆23Updated 5 years ago
- ☆57Updated 2 years ago
- ☆35Updated 2 years ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆68Updated 6 years ago
- A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification☆117Updated 5 years ago
- ☆29Updated last year
- [RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies☆66Updated 2 years ago
- A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.☆33Updated 3 years ago
- Official implementation of "An interpretation pipeline towards understanding multi-temporal deep learning approaches for crop mapping".☆21Updated 4 years ago
- Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification☆166Updated last year
- Repo for testing foundation models☆55Updated last year
- Deep Learning Models for Wildfire Danger Forecasting☆77Updated 3 years ago
- This repository houses a novel patch-based dataset compiled using optical satellite images of Canadian agricultural croplands retrieved f…☆43Updated 2 years ago
- [IEEE TGRS'23] Location-aware Adaptive Normalization: A Deep Learning Approach for Wildfire Danger Forecasting☆18Updated 8 months ago
- Land Cover Change Detection using Satellite Image Segmentation.☆52Updated 11 months ago
- An open and accessible datacube for environmental and earth system monitoring☆35Updated last year
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆107Updated last year
- Deep Learning for monitoring and forecasting natural hazards with earth observation data☆14Updated 2 years ago
- Winners of the STAC Overflow: Map Floodwater from Radar Imagery competition☆52Updated 2 years ago
- Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication☆106Updated 4 years ago
- Annual and in-season crop mapping in Kenya☆24Updated 4 years ago
- Official code for Unsupervised Change Detection of Extreme Events Using ML On-Board☆56Updated 2 years ago
- The official repository for the paper "Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters"☆19Updated 7 months ago
- Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Ma…☆42Updated 4 years ago
- PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-At…☆213Updated 3 years ago
- ☆31Updated 2 years ago