Explainable Machine Learning for Geospatial Data Analysis A Data-Centric Approach | Environmental Engineering

Product Description

Explainable machine learning (XML) a subfield of AI is focused on making complex AI models understandable to humans. This book highlights and explains the details of machine learning models used in geospatial data analysis. It demonstrates the need for a data-centric explainable machine learning approach to obtain new insights from geospatial data. It presents the opportunities challenges and gaps in the machine and deep learning approaches for geospatial data analysis and how they are applied to solve various environmental problems in land cover changes and in modeling forest canopy height and aboveground biomass density. The author also includes guidelines and code scripts (R Python) valu…