Yuechen Li – författare

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.

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.

This book focuses on validation and reconstruction work on the land surface temperature (LST) products retrieved by thermal infrared remote sensing. The LST is a key parameter in the energy-water balance process and has been widely used in research on the global climate change, water cycle, vegetation growing, and drought detection. Remote sensing retrieving LST is the most important source for regional and even global application. However, there are several factors that limited their widespread use: (1) the thermal infrared remote sensing is easily influenced by clouds; therefore, there are lots of pixel with invalid LST; (2) LST products have not been sufficiently validated in global scale. This book arms to overcome above defects and guide the readers to estimate the LST of cloudy pixel and implement the general validation on the remote sensing LST. Furthermore, it helps to understand the scale mismatch between different observation and land surface heterogeneity. The book covers ground-based observation, validation and reconstruction theories, scale mismatch analysis, heterogeneity and representativeness evaluation for observations, and application cases. It is an essential reference to the quantitative retrieval of thermal infrared remote sensing technologies.