Identifying the number of locations affected by different flood return periods using dataset of polish address points, flood hazard maps and administrative unit boundaries.

Basic tools (Python) for geo-processing workflow of raster and vector data

A very simple program for beginners (like me :D) in python - Using python module like folium you can create a simple map showing Seven wonders of the world on a basemap

Python GUI project - Raster image format conversion GUI

Working_with_data_found_in_the_raster_format

Mapping light pollution, and places to avoid it, using R and Leaflet

Contains some code based on Geo Machine Learning. Works like Clipping Raster files with Shapes files,Extracting Features are in this repository.

GEMS Learning x003.0 - An Introduction to Spatial Data Analysis in R

This is a geospatial analysis on Nigerian population density using a raster data on Qgis.

This project uses HydroSHEDS data & giscoR + sf to visualize river basins in Brazil.

Library to process multispectral images

Read a raster data file with rasterio and overlay it on folium with appropriate coloring.

Signal Processing Toolbox for Calcium Imaging Data

Access EMODnet Web Coverage Service data through R

Visualizing the Maxar Open Data for the 2023 North India Floods (pre and post event images) on the split map using leafmap.

Fundamentals of Remote Sensing and Earth Observation Course

Geo-spatial utilities for Remote Sensing and GIS application

A foundational Geographic Information System project developed in Python, demonstrating basic GIS operations like handling spatial data, triangulation, and spatial analysis. This archived project serves as an early career milestone and a resource for those new to GIS programming.

Raster extension of VKG framework to query multidimensional raster data integrated with relational data including geometrical vector data relying on virtualization