Xiaoyang Zhang

South Dakota State University United States of America

Xiaoyang Zhang received the B.A. degree in geography from Peking University, Beijing, China, in 1984, the M.S. degree from the Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences (CAS), Nanjing, China, in 1991, and the Ph.D. degree in remote sensing from King\'s College London, London, UK, in 1999. He was a Research Assistant Professor in the Institute of Hydrobiology, CAS, and a Research Associate Professor in the Institute of Geodesy and Geophysics, CAS, from 1984 to 1995, and a Research Associate and Research Assistant Professor at the Department of Geography, Boston University, from 1999-2005. As a Senior Research Scientist at Earth Resources Technology Inc, he worked at NOAA/NESDIS through a contract from April 2005 to June 2012. He was a visiting associate research scientist of University of Maryland from June 2012-August 2013 and worked at NOAA/NESDIS. As an Associate Professor/Senior Research Scientist, he has been working in the Geospatial Sciences Center of Excellence at South Dakota State University since August 2013. His research interests include satellite remote sensing of vegetation seasonality and biomass burning emissions, climate-vegetation interaction, and land surface modeling.

Xiaoyang Zhang

1books edited

1chapters authored

Latest work with IntechOpen by Xiaoyang Zhang

Phenology, a study of animal and plant life cycle, is one of the most obvious and direct phenomena on our planet. The timing of phenological events provides vital information for climate change investigation, natural resource management, carbon sequence analysis, and crop and forest growth monitoring. This book summarizes recent progresses in the understanding of seasonal variation in animals and plants and its correlations to climate variables. With the contributions of phenological scientists worldwide, this book is subdivided into sixteen chapters and sorted in four parts: animal life cycle, plant seasonality, phenology in fruit plants, and remote sensing phenology. The chapters of this book offer a broad overview of phenology observations and climate impacts. Hopefully this book will stimulate further developments in relation to phenology monitoring, modeling and predicting.

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