Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble
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Updated
Aug 7, 2024 - Jupyter Notebook
Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble
Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble
Extractor allows for the extraction of data from raster images based on point, line, and polygon vectors and the application of zonal statistics. Its usefulness lies in its ability to work with a range of raster sources, making it ideal for time series analysis and landscape studies.
QGIS Plugin to perform Area Weighted Average analysis.
A Collection of Python Script to perform analysis in QGIS Python Environment
Collection of python tools for running zonal stats on Google Earth Engine layers
POC of using AWS Lambda + Rasterio for raster calculations on S3
A set of python scripts for spatially explicit accuracy assessments of binary, gridded geospatial data, e.g., for human settlement data mapping built-up (1) and not built-up (0) areas.
associated with video to demonstrate zonal statistics algorithm
Interactive raster statistics / zonal statistics through rasterstats and ipywidgets: a solid waste use case.
This repo demonstrates how to easily overlay community polygons on forest cover data and make a beautiful map using R and ggplot2
Python code to extract mean values of a rasters datasets considering limits of shapefiles.
Test with Python module rasterstats.
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