Carbon Sink Estimation and Evaluation of Ecological Function Changes on the Tibetan Plateau

This book investigates the intricate dynamics of vegetation and soil carbon sink estimation, offering a comprehensive quantitative assessment of how climate and human activities influence carbon sink changes and land degradation. By focusing on the Tibetan Plateau, it provides crucial insights for implementing precise ecological restoration strategies and enhancing land carbon sequestration.

This book delves into key concepts such as remote sensing retrieval, machine learning, and data fusion, showcasing the integration of multi-source data to quantify the driving forces behind vegetation carbon sink changes. Readers explore the latest methodologies in carbon sink accounting, gaining a deeper understanding of the interplay between natural and anthropogenic factors. This work is essential for those seeking to grasp the complexities of ecological restoration and carbon management.

Graduate students and researchers in fields such as geography, ecology, environmental science, and soil science find this book invaluable. It serves as a vital resource for those interested in remote sensing retrieval and data fusion technology, as well as for professionals focused on terrestrial carbon sink accounting and land degradation evaluation. This book is a must-read for anyone committed to advancing knowledge in ecological restoration and sustainable land management.

Wei Zhou is an associate professor at Southwest University in Chongqing, China. She obtained her B.S. and Ph.D. degrees in Cartography and Geographic Information Systems and Ecology from Northwest University and Nanjing University, China, in 2011 and 2014, respectively. Zhou completed her post-doctoral research at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences. She is a member of the Professional Committee on Ecological Models of the Ecological Society of China. Her research focuses on ecological and environmental remote sensing, particularly on vegetation and soil land carbon sink estimation, land degradation, data fusion, and soil organic carbon data reconstruction.