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University of California, Santa Barbara

Pratyush Tripathy

Expert
@PratyushTripathy

I build large scale machine learning workflows for remote sensing and geospatial analysis. Super interested in developing novel data that enable causal analysis

global_flood_mapper. 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."

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Landsat-Classification-Using-Neural-Network. 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.

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QGIS-Plugin-Produce-Training-Samples-For-Deep-Learning. Python

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Landsat-Classification-Using-Convolution-Neural-Network. 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

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pyrsgis. This repository cointains the source code of the 'pyrsgis' Python package.

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COINS. This repository contains the source code of the COINS tool that allows to deduce natural continuity of street network.

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python_gdal_automated_windows. This repository contains the script for automated download, installation and set-up of Python and GDAL.

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Land-Cover-Using-Machine-Learning. This repository contains links to resources for land cover classification.

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field-boundary-zero-shot. Repository associated with the journal article on zero-shot inference strategies for foundation models used on satellite images

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Kathmandu_urban_growth_gwr. Jupyter Notebook

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