Ben-Radford's repositories
AccuracyWorkshop2016
Geographically Weighted Spatial Accuracy for Remote Sensing
climate-data-science
Climate Data Science and Earth Observation with Python.
GEE_Sentinel2_Bathymetry_Paper
This is the Google Earth Engine code for generating bathymetry in "Automated global coastal water bathymetry mapping using Google Earth Engine" paper.
geemap
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets
python-rasterstats
Summary statistics of geospatial raster datasets values based on vector geometries.
RSLcode
Code and data used to produce a paper accepted for publication in Remote Sensing Letters submission "Geographically weighted correspondence matrices for local error reporting and change analyses: mapping the spatial distribution of errors and change"
tutorial-qgis-maxent
A short tutorial for creating a species distribution model using QGIS, R, and MaxEnt.