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Codes to produce met and flux files for the PLUMBER 2 experiment
A concise but complete full-attention transformer with a set of promising experimental features from various papers
PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
processing script for Sentinel-2 and Landsat-8
Tool to convert geopandas vector data into rasterized xarray data.
Development of the pyrealm package, providing an integrated toolbox for modelling plant productivity, growth and demography using Python.
A biogeochemical model for simulating CO2 and CH4 exchange in restored wetlands
This page presents a list of satellite imagery datasets with a temporal dimension, mainly satellite image time series (SITS) and satellite videos, for various computer vision and deep learning task…
This repository contains code to download data for the preprint "MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation Learning"
Official code repository for NeurIPS 2022 paper "SatMAE: Pretraining Transformers for Temporal and Multi-Spectral Satellite Imagery"
Software for working with satellite & aerial imagery ML datasets
This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.
Baseline model for crop type segmentation as part of the HLS FM downstream task evaluations
Reconstructing seamless harmonized Landsat Sentinel-2 (HLS) time series using self-supervised learning
[RSE 2021] Crop mapping from image time series: deep learning with multi-scale label hierarchies
Code for in-season crop type mapping with phenology normalization in US Corn Belt
This repository contains the classification module of the WorldCereal system.
Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.
ISPRS: Using a semantic edge-aware multi-task neural network to delineate agricultural parcels from remote sensing images
mxnet source code for the resuneta semantic segmentation models