TianXiang Yue – författare

This volume of the Chinese Water Systems subseries offers up-to-date and comprehensive information on various aspects of the Poyang Lake, the largest freshwater lake in China.

This volume of the Chinese Water Systems subseries offers up-to-date and comprehensive information on various aspects of the Poyang Lake, the largest freshwater lake in China. Following a detailed introduction of the lake basin, the respective chapters present the findings of studies examining surface and subsurface hydrology, relationships between plant ecology and pollution of the wetlands, changes of land cover as well as the development of modern computational approaches to create Environmental Information Systems for water management. Moreover, the results are supplemented by a wealth of numerical calculations, tables, figures and photographs to make the research results more tangible. Closing with concise information on the “Research Centre for Environmental Information Science” (RCEIS), the book offers a valuable guide for researchers, teachers and professionals working in the areas of water environment, water security and ecological restoration. The projects have been supportedby the Sino-German Centre for Science Promotion, the Helmholtz Association and the Chinese Academy of Sciences.

This volume of the Chinese Water Systems subseries offers up-to-date and comprehensive information on various aspects of the Poyang Lake, the largest freshwater lake in China. Following a detailed introduction of the lake basin, the respective chapters present the findings of studies examining surface and subsurface hydrology, relationships between plant ecology and pollution of the wetlands, changes of land cover as well as the development of modern computational approaches to create Environmental Information Systems for water management. Moreover, the results are supplemented by a wealth of numerical calculations, tables, figures and photographs to make the research results more tangible. Closing with concise information on the “Research Centre for Environmental Information Science” (RCEIS), the book offers a valuable guide for researchers, teachers and professionals working in the areas of water environment, water security and ecological restoration. The projects have been supportedby the Sino-German Centre for Science Promotion, the Helmholtz Association and the Chinese Academy of Sciences.

This book focuses on the robustness analysis of high accuracy surface modeling method (HASM) to yield good performance of it.

This book focuses on the robustness analysis of high accuracy surface modeling method (HASM) to yield good performance of it.

This book focuses on grassland ecosystem evaluation including vegetation coverage, net primary productivity, carbon sink accounting, and grassland degradation evaluation based on mutual data resource, ecosystem model simulation, remote sensing monitoring and driving mechanism exploration. It aims to provide a guide seeking to understand the overall situation of grassland in China in the context of global climate change and build a scenario for the driving force quantitative evaluation. It will be an essential reference to the terrestrial ecosystem carbon cycle and degraded grassland ecological restoration engineer implementation. Chapters are carefully developed to cover (1) situation of grassland in China; (2) spatial-temporal of grassland coverage in China;(3) net primary productivity evaluation; (4) carbon sink/source accounting and its carbon-hydrology effect;(5) grassland landscape pattern; (6) grassland degradation evaluation based on remote sensing;(7) Grassland degradation restoration and constructing green ecological protective screen.The new scenario and driving mechanism evaluation model make this book a valuable read for researcher of land ecosystem carbon cycle, ecosytem degradation remote sensing evaluation as well as organizations engaged in eco-restoration practices.

This book focuses on grassland ecosystem evaluation including vegetation coverage, net primary productivity, carbon sink accounting, and grassland degradation evaluation based on mutual data resource, ecosystem model simulation, remote sensing monitoring and driving mechanism exploration. It aims to provide a guide seeking to understand the overall situation of grassland in China in the context of global climate change and build a scenario for the driving force quantitative evaluation. It will be an essential reference to the terrestrial ecosystem carbon cycle and degraded grassland ecological restoration engineer implementation. Chapters are carefully developed to cover (1) situation of grassland in China; (2) spatial-temporal of grassland coverage in China;(3) net primary productivity evaluation; (4) carbon sink/source accounting and its carbon-hydrology effect;(5) grassland landscape pattern; (6) grassland degradation evaluation based on remote sensing;(7) Grassland degradation restoration and constructing green ecological protective screen.

The new scenario and driving mechanism evaluation model make this book a valuable read for researcher of land ecosystem carbon cycle, ecosytem degradation remote sensing evaluation as well as organizations engaged in eco-restoration practices.

This book describes the basic contents of eco-environmental informatics (EEI) systematically. It consists of ten chapters: development history of the groundworks of knowledge, data and models for the EEI emergence since the early 1850s, the core principles of EEI including methods for high-accuracy surface modelling and the fundamental theorem for eco-environmental surface modelling, spatial interpolations, scale-transformations, data fusion, and model-data assimilation, as well as their applications connecting ecology, environmental science, and geographical science.It is used as a textbook for advanced undergraduate and graduate students in the field of EEI. It also serves as a reference book for researchers involved in geographical information science, ecological informatics, environmental informatics, computer-aided design, and planetary surface modelling.