In the last few years, there have been seen a surge in the development of in the development and use of modern and scientific methods in the environmental and ecological data analysis for land cover change dynamics and future prediction. However, the available literature focus on only a few aspects of the methodology and leave out some of the important ones. Land cover change dynamics and future prediction needs complex methods particularly for future prediction. This book provides a comprehensive and wider array for the scientific community. Particularly for Markov Chain Model (MCM).
Tesfa Worku Meshesha
Dr. Tesfa Worku Meshesha studied his first Degree from Mekelle University, Masters Degree from Addis Ababa University and Ph.D. from IIT Roorkee. Currently he is a Postdoctoral Researcher in Athabasca University, Canada. His research interest is focused on hydrology, climate change, water quality modelling and water resources management.
Number of Pages:
LAP LAMBERT Academic Publishing
LU/LC, supervised classification, Markov Chain Mode, GIS, Future land cover prediction
SCIENCE / Ecology