Calculating rotation invariant GLCM textures
How to calculate rotationally invariant texture measures using the glcm R package.
Vice President, Science for Impact
Working at the intersection of climate, population, and land use change research to support action by governments and the private sector to protect, manage, and restore land.
Incentivizing and supporting action by governments and the private sector to protect, manage, and restore land.
Leveraging remote sensing and spatial tools to explore interactions among climate, land use, land cover change, and livelihoods.
Methods and tools for integrating large social and biophysical datasets to inform conservation decisions.
How to calculate rotationally invariant texture measures using the glcm R package.
Version 1.0 of the glcm package is now available on CRAN.
A tutorial on using the gfcanalysis R package to analyze the Hansen Global Forest Change dataset.
Introduction to calculating Gray Level Co-occurrence Matrix texture measures for remote sensing imagery.
How to run computationally intensive agent-based models on Amazon EC2 cloud instances.