Satellite image time series in R
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Updated
May 26, 2024 - R
Satellite image time series in R
Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.
Implementation for "Global heterogeneous graph convolutional network: from coarse to refined land cover and land use segmentation"
Land Cover Classification System Web Service
Photovoltaic Farms Mapping with openEO
The source code of the Sentinel-2 Land Cover Explorer has been moved to https://github.com/Esri/imagery-explorer-apps
Crop type mapping solution for MAGO Project (NTUA)
Crop type mapping solution for MAGO Project (NTUA)
Land Cover Classification System Database Model
Deep Learning based Land Cover Classification using Satellite Imagery
Work for BigEarthNet Data using resnet-50
This project aims to build a model to classify land-cover based on remote sensing images
Deep neural network for land cover use classification using Unet structure
Land cover classification in Tanzania using ensemble labels and high resolution Planet NICFI basemaps and Sentinel-1 time series.
Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.
Land cover classification hackathon during the OpenGeoHub Summer School 2023 in Poznan (Poland).
A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.
Detecting Land Cover Changes Between Satellite Image Time Series By Exploiting Self-Supervised Representation Learning Capabilities
Land Cover Prediction from Satellite Imagery Using Machine Learning Techniques
A deep learning (neural network) land cover classification project using satellite images (remote sensing).
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