Identifying the number of locations affected by different flood return periods using dataset of polish address points, flood hazard maps and administrative unit boundaries.
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Updated
May 27, 2024 - Jupyter Notebook
Identifying the number of locations affected by different flood return periods using dataset of polish address points, flood hazard maps and administrative unit boundaries.
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
GEMS Learning x003.0 - An Introduction to Spatial Data Analysis in R
Contains some code based on Geo Machine Learning. Works like Clipping Raster files with Shapes files,Extracting Features are in this repository.
Working_with_data_found_in_the_raster_format
This is a geospatial analysis on Nigerian population density using a raster data on Qgis.
More Geospatial Analysis: Street Networks and Raster Data
This project uses HydroSHEDS data & giscoR + sf to visualize river basins in Brazil.
A tile iterator for ENVI that has more options than the default tile iterator that ships with ENVI.
Read a raster data file with rasterio and overlay it on folium with appropriate coloring.
Visualizing the Maxar Open Data for the 2023 North India Floods (pre and post event images) on the split map using leafmap.
Repository for geospatial data analysis using python and geovisualization for raster and vector data.
Basic tools (Python) for geo-processing workflow of raster and vector data
Library to process multispectral images
Python GUI project - Raster image format conversion GUI
Fast parallel convolution in R.
Geo-spatial utilities for Remote Sensing and GIS application
Mapping light pollution, and places to avoid it, using R and Leaflet
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