Land cover classification hackathon during the OpenGeoHub Summer School 2023 in Poznan (Poland).
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Updated
Sep 1, 2023
Land cover classification hackathon during the OpenGeoHub Summer School 2023 in Poznan (Poland).
A land cover classification task performed with machine learning modelling on Sentinel-2 data for Gibraltar.
Multi-scale patch-wise semantic segmentation of satellite images using U-Net architecture.
Implementation for "Global heterogeneous graph convolutional network: from coarse to refined land cover and land use segmentation"
This project aims to build a model to classify land-cover based on remote sensing images
Classification of Sentinel-2 land cover multiband images through an ensamble of DNN
Deep Learning based Land Cover Classification using Satellite Imagery
Deep neural network for land cover use classification using Unet structure
Harmonize classification raster files using Latent Dirichlet Allocation
Work for BigEarthNet Data using resnet-50
Multi-scale patch-wise semantic segmentation of satellite images using U-Net architecture.
A simple example of a machine learning library for land-cover classification
Crop type mapping solution for MAGO Project (NTUA)
Photovoltaic Farms Mapping with openEO
Developed a and Cover Classification system using Satellite Image Processing with the help of Remote Sensing images. The system can classify between Forest land, Agricultural of Paddy fields nd Urban areas from a given Dataset. All the step by step procedure has been done and executed in the Jupyter notebook. The system can also clasify the Land…
Land cover classification in Tanzania using ensemble labels and high resolution Planet NICFI basemaps and Sentinel-1 time series.
Crop type mapping solution for MAGO Project (NTUA)
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