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cnn_on_free_gee

This repository provides a way to extract water bodies using deep learning methods in GEE.

coins

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

dasymetric_mapping_using_grassgis

Python script (Jupyter notebook) for modeling of population densities

dem_flattening

This repository contains the script and sample data to flatten a DEM raster horizontally.

ghs-s2net

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."

grss2023_classification_denoising_tutorial

kathmandu_urban_growth_gwr

land-cover-using-machine-learning

This repository contains links to resources for land cover classification.

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

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.

mask_rcnn_working

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

momepy

Urban Morphology Measuring Toolkit

pixel_level_land_classification

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.

pratyushtripathy

Config files for my GitHub profile.

pratyushtripathy.github.io

pyrsgis

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

python_gdal_automated_windows

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

qgis-plugin-produce-training-samples-for-deep-learning

s2p-working

unet

unet for image segmentation

urban_growth_vs_public_policies

This repository contains the data used in the research "Evaluating sensitivity of urban policy on spatial transformation and urban growth"