MarcCoru / crop-type-mapping
Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification
☆159Updated 7 months ago
Alternatives and similar repositories for crop-type-mapping:
Users that are interested in crop-type-mapping are comparing it to the libraries listed below
- A Satellite Time Series Dataset for Crop Type Identification☆202Updated 2 years ago
- Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series☆157Updated 4 years ago
- [RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies☆63Updated last year
- A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification☆105Updated 4 years ago
- Official implementation of "DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic c…☆61Updated 3 years ago
- A method to perform unsupervised cross-region adaptation of crop classifiers trained with satellite image time series.☆31Updated 2 years ago
- ☆37Updated 2 years ago
- PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-At…☆198Updated 3 years ago
- ☆27Updated last year
- Crop type mapping of small holder farms in Ghana, and South Sudan☆87Updated 2 years ago
- Official implementation of "An interpretation pipeline towards understanding multi-temporal deep learning approaches for crop mapping".☆19Updated 3 years ago
- ☆33Updated last year
- ☆55Updated last year
- Multi-temporal land cover classification. Source code and evaluation of IJGI 2018 journal publication☆106Updated 3 years ago
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆64Updated 6 years ago
- Deep learning models for remote sensing applications☆177Updated last year
- Sen4AgriNet: A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning☆95Updated 4 months ago
- The source code of TFBS model☆13Updated 3 years ago
- ☆26Updated last year
- Machine learning for satellite image time series☆27Updated 5 years ago
- Using CNN-LSTM deep learning model for digital soil mapping. This is the code for paper "Zhang et al. A CNN-LSTM model for soil organic c…☆64Updated last year
- Python code for the DECODE method and mxnet code for Fractal ResUNet☆41Updated 3 years ago
- Crop yield prediction on remote sensing data using CNN☆25Updated 5 years ago
- Extension of ConvLSTM and Time-LSTM for irregularly spaced images, appropriate for Remote Sensing☆20Updated 4 years ago
- Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction☆126Updated 11 months ago
- An Attention-Based U-Net for Detecting Deforestation Within Satellite Sensor Imagery.☆41Updated 2 years ago
- Code for journal paper "Deep Learning for Land Cover Change Detection".☆38Updated 4 years ago
- ☆211Updated 7 months ago
- A collection of python and bash scripts for downloading, preprocessing and uploading Sentinel images.☆9Updated 7 years ago
- Lightweight, Pre-trained Transformers for Remote Sensing Timeseries☆208Updated 10 months ago