Pratyush Tripathy's Projects
This repository provides a way to extract water bodies using deep learning methods in GEE.
This repository contains the source code of the COINS tool that allows to deduce natural continuity of street network.
Python script (Jupyter notebook) for modeling of population densities
This repository contains the script and sample data to flatten a DEM raster horizontally.
This repository contains links to the Global Flood Mapper (GFM). Usage instructions are given here. For more details, please check the journal article titled "Global Flood Mapper: A novel Google Earth Engine application for rapid flood mapping using Sentinel-1 SAR."
This repository contains links to resources for land cover classification.
Source code and files mentioned in the medium post titled "Is CNN equally shiny on mid-resolution satellite data?" available at https://towardsdatascience.com/is-cnn-equally-shiny-on-mid-resolution-satellite-data-9e24e68f0c08
All the files mentioned in the article on Towards Data Science Neural Network for Landsat Classification Using Tensorflow in Python | A step-by-step guide.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Urban Morphology Measuring Toolkit
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
Config files for my GitHub profile.
This repository cointains the source code of the 'pyrsgis' Python package.
This repository contains the script for automated download, installation and set-up of Python and GDAL.
unet for image segmentation
This repository contains the data used in the research "Evaluating sensitivity of urban policy on spatial transformation and urban growth"