AI for Environment

• This repo was long-due which consists of all my re-implementations, models for various papers and projects that were created for a works in AI Applications for Climate Change and Sustainability.

• Most of them use data collected from Satellite and aerial Imagery. imagery systems like Sentinel-2 etc.

Table of Contents

• Projects

  • 01. Landsat Classification Using Neural Network
  • 02. AgNet-Crop Categories Segemention
  • 03. Satellite Image Segmentation for Flood Damage Analysis
  • 04. CoastSat- Shoreline Segementation and Classification
  • 05. DeepWater-Water Level Change Analysis
  • 06. River Network Extraction Using U-Net
  • 07. Satellite Data based Pollution Forecasting using CNNs
  • 08. Land Use and Land Cover Classification using a ResNet
  • 09. deepwatermap- Segmention of surface water on multispectral imagery
  • 10. glacier_mapping- Segmentation of Glaciers and Debris
  • 11. Azure-Pixel Level Land Classification
  • 12.Hudson Bay's Sea Ice Segmentation
  • 13.Oil Tank Volume Estimation

• Paper Implementations

  • 01.Detection of Floating Objects using Sentinel 2 Images
  • 02.dlsim-Estimation of inundation depth (maximum water level) and debris-flow-induced topographic deformation
  • 03.TheColorOutOfSpace-learning self-supervised representations for Earth Observation imagery
  • 04.WatNet- Surface Water Mapping based on Sentinel-2 image
  • 05.FloodNet-Segmentation on High Quality Aerial Flood Images
  • 06.Antarctic Melt Fracture Detection
  • 07.PyCrop-Crop Yield Prediction
  • 08.DeepTreeAttention- Trees Species Prediction
  • 09.Industrial Smoke Plume Detection
  • 10.DeepSegmentor-Road and Crack Detection
  • 11.Methane Detection from Hyperspectral-Imagery
  • 12.EESRGAN- Small-Object Detection in Remote Sensing Images