chathumal93/Pytorch-UNet-Flood-Segmentation chathumal93/Pytorch-UNet-Flood-Segmentation

  • Stars
    star
    15
  • Rank 1,366,776 (Top 28 %)
  • Language
    Jupyter Notebook
  • Created over 1 year ago
  • Updated 5 months ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
chathumal93/Pytorch-UNet-Flood-Segmentation
github

chathumal93

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 satellite images.

More Repositories

1

Remote-Sensing-for-Biomass-Estimation

This repository includes biomass estimation workflows using remote sensing data including capacity building materials.
R
11
star
2

ALOS2-Flood-Mapping

This repository includes an automatic statistical-based flood mapping approach for ALOS2 Level 2.1 data. Additionally, this method of flood extraction utilizes Google Earth Engine's open data and processing capabilities.
Jupyter Notebook
7
star
3

ADB-EARR-T4

This repository includes the material for the Building Stability Monitoring Session of Remote Sensing and Geospatial Technology for Reconstruction Monitoring Training - Module 4 (Landslide, Building Monitoring and Infrastructure Stability).
Jupyter Notebook
5
star
4

EuroSat-RGB-Classifiers

This repository contains three different models (ResNet-18, ResNet-50, and ViT-Base-Patch16-224) fine-tuned on the EuroSAT dataset, along with their performance comparisons.
Jupyter Notebook
1
star