Geospatial library wheels for Python on Windows
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Updated
Feb 19, 2024
Geospatial library wheels for Python on Windows
OpenClimateGIS is a set of geoprocessing and calculation tools for CF-compliant climate datasets.
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Generating Elevation Surface from a Single RGB Remotely Sensed Image Using Deep Learning
Performs a Koppen Geiger Classification using just NC files with temperature and precipitation as input.
A Python module for remote sensing index calculations and processing. Mostly used for my experimentation with new concepts and techniques.
Open source canopy classification system
Presentation for WLIA 2022: PDF Maps: From Static to Interactive to βWait, I Didnβt Know PDFs Could Do That!β
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.
In this repository I am sharing a pipeline I have created to ingest, preprocess and finaly create an analysis ready products based on Sentinel 1 and Sentinel 2 images.
Criador de mosaicos de imagens Sentinel-2 RGB e IRG para Portugal, com serviço WMS, com suporte temporal
A python Package to extract lidar data from the USGS Big Data Store, Transform and Build Analytics on it.
An interactive python-based tool to download time-series data for all sensors available on Google Earth Engine's data catalog.
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.
GlobeAnim is a Python tool that projects a GeoTIFF file onto a globe and rotates it, creating an animated GIF.
Baltimore shops nearby location-based web application with Django and GeoDjango. Quering json data to provide a subset of the closest shops to a userβs location.
Using Python, GDAL and Google Maps API to calculate travel times between pairs of regions, given an specific weekday and time.
Satellite Data Read Library
test performance convert vector & mbtiles with GDAL
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