khansa-gulshad Goto Github PK
Type: User
Company: GUT
Bio: Hi, my current research interest includes GIS, remote sensing, and machine learning to study natural hazards, urban LULC, and green infrastructure.
Location: Poland
Type: User
Company: GUT
Bio: Hi, my current research interest includes GIS, remote sensing, and machine learning to study natural hazards, urban LULC, and green infrastructure.
Location: Poland
This repository leverages the TreePedia 2.0 model to measure greenery levels in neighborhoods using the GVI metric. Our pipeline uses Google Street View (GSV) images to generate datasets and evaluate greenery, providing a scalable, data-driven approach to identify and address vegetation inequities.
An R Framework for Climate Data Access and Post-processing
Application of deep learning for earth observation.
statistics and classes for exploratory spatial data analysis
Tutorials on how to use GDAL Python API and rasterio for raster data management, transformation, analysis and visualization tasks.
Khansa Gulshad Learning Path
This is an collection of blog posts turned into a course format
This is the official code repository for NeurIPS2022 Track Urban Scene Understanding via Hyperspectral Images: Dataset and Benchmark.
An open dataset for pixel level classification of Landsat 7 and Landsat Imagery. The repo contains the code for classification as well as the error correction methods on top of it.
Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas
Multiscale Geographically Weighted Regression (MGWR)
Learning Python through small projects (Beginners level )
Tutorial of fundamental remote sensing and GIS methodologies using open source software in python
Tool for Quantitative Analysis and Visualization of Land Use and Land Cover Change.
pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep learning applications. -- Under Development --
HackerRank problems
This repository contains a PyTorch implementation of a U-Net model for segmenting water areas (flood and permananet water) in Sentinel-1 satellite images.
Resources for deep learning with satellite & aerial imagery
Python notebooks and code for spatial autocorrelation
Exploratory Spatial Data Analysis with Python
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.