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Full Description
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.
Contents
Overview.- Estimation of Biomass Carbon Density Using Multi-Source Data over the Tibetan Plateau.- Enhancing Vegetation and Soil Carbon Estimation Accuracy with HASM Data Fusion.- Hyperspectral Retrieval of Soil Nutrients.- Grassland Degradation Evaluation Using Hyperspectral Remote Sensing.- Estimation and Quantitative Assessment of Net Primary Productivity from 1982 to 2020.- Accounting and Dynamics Assessment of Ecological Functions.
