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A PyTorch implementation of the Light Temporal Attention Encoder (L-TAE) for satellite image time series. classification
Code for "Deep Learning-based Harmonization and Super-Resolution of Landsat-8 and Sentinel-2 images" paper.
Simple tool written in Python to download cmip6 and (maybe) cmip5 files
A set of notebooks that explores the power of Recurrent Neural Networks (RNNs), with a focus on LSTM, BiLSTM, seq2seq, and Attention.
An R package for acquisition and processing of NASA SMAP data
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
💦 Python implementation of the HYDRUS-1D unsaturated zone model
Python bindings for the PROSAIL canopy reflectance model
Nitrogen balance model components and test procedures
CLSoilMaps is a database of maps of soil physical and hydraulic properties for Chile.
Time-Weighted Dynamic Time Warping for satellite image time series analysis
Raster-based Spatial Analytics for Python
Self-Supervised SISR for Sentinel-2 L1B Imagery
Implementation of Convolutional LSTM in PyTorch.
Unit Testing for pytorch, based on mltest
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
Source code for the LabelMe annotation tool.
A PyTorch-based Python library with UNet architecture and multiple backbones for Image Semantic Segmentation.
Open source Structure-from-Motion pipeline
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 carbon content prediction with long time series of MODIS-base…
A PyTorch Library for Multi-Task Learning
pytorch,unet,aerial image,segnet,pspnet,satellite,segmentaion
Image classification on Satellite Dataset-RSI-CB256 with torchvision models.
Code and experiments for the paper, "A Change Detection Reality Check", Corley et al.