滴滴轨迹速度计算

Small different-purpose programs using gdal-python bindings (and a fair amount of NumPy)

Ground Water Table plots using .shp Shape files. How likely is an area to flood?

Using Python, GDAL and Google Maps API to calculate travel times between pairs of regions, given an specific weekday and time.

HDF5 to Geotiff converter for GCOM-C/SGLI OCEAN PRODUCTS

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Criador de mosaicos de imagens Sentinel-2 RGB e IRG para Portugal, com serviço WMS, com suporte temporal

JAXA GCOM-C SGLI L2 h5 to EPSG:4326 GeoTIFF converter

Processamento de imagens de satélite via RasterIO, Numpy e Matplotlib.

Open source canopy classification system

A Python module for remote sensing index calculations and processing. Mostly used for my experimentation with new concepts and techniques.

An interactive python-based tool to download time-series data for all sensors available on Google Earth Engine's data catalog.

Presentation for WLIA 2022: PDF Maps: From Static to Interactive to “Wait, I Didn’t Know PDFs Could Do That!”

This is a script that reads in Landsat-8 data, Esri Sentinel-2 10m land cover time series data and train a random forest classification algorithm to estimate fractional built cover at 30m scale. The trained model can be used to produce fractional land cover for other regions.

Baltimore shops nearby location-based web application with Django and GeoDjango. Quering json data to provide a subset of the closest shops to a user’s location.

This repository presents the Colour Pattern Regression (CPR) algorithm QGIS3 plugin. The code determines the relationship between aerial images and raster maps according to the decomposition into RGB spaces of the aerial images and the calculation of a linear regression with the raster map using three coefficients - one for each RGB space.

This project demonstrates the capabilities of GeoDgango in conjunction with DRF and a third party API.

OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.

This repository presents the Colour Pattern Regression (CPR) algorithm QGIS3 plugin. The code determines the relationship between aerial images and raster maps according to the decomposition into RGB spaces of the aerial images and the calculation of a linear regression with the raster map using three coefficients - one for each RGB space.