Assessing the impact of urbanization on net primary productivity using multi-scale remote sensing data: a case study of Xuzhou, China

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• 作者：Kun Tan ; Songyang Zhou ; Erzhu Li ; Peijun Du
• 关键词：multi ; scale remote sensing ; net primary productivity ; improved Carnegie Ames Stanford approach model ; urbanization
• 刊名：Frontiers of Earth Science
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：9
• 期：2
• 页码：319-329
• 全文大小：2,059 KB
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• 作者单位：Kun Tan (1)
  Songyang Zhou (1)
  Erzhu Li (1)
  Peijun Du (2)
  
  1. Jiangsu Key Laboratory of Resources and Environment Information Engineering, China University of Mining and Technology, Xuzhou, 221006, China
  2. Key Laboratory for Satellite Surveying Technology and Applications of National Administration of Surveying and Geoinformation, Nanjing University, Nanjing, 210093, China
  
• 刊物主题：Earth Sciences, general;
• 出版者：Springer Berlin Heidelberg
• ISSN：2095-0209

文摘

An improved Carnegie Ames Stanford Approach (CASA) model based on two kinds of remote sensing (RS) data, Landsat Enhanced Thematic Mapper Plus (ETM +) and Moderate Resolution Imaging Spectro-radiometer (MODIS), and climate variables were applied to estimate the Net Primary Productivity (NPP) of Xuzhou in June of each year from 2001 to 2010. The NPP of the study area decreased as the spatial scale increased. The average NPP of terrestrial vegetation in Xuzhou showed a decreasing trend in recent years, likely due to changes in climate and environment. The study area was divided into four sub-regions, designated as highest, moderately high, moderately low, and lowest in NPP. The area designated as the lowest sub-region in NPP increased with expanding scale, indicating that the NPP distribution varied with different spatial scales. The NPP of different vegetation types was also significantly influenced by scale. In particular, the NPP of urban woodland produced lower estimates because of mixed pixels. Similar trends in NPP were observed with different RS data. In addition, expansion of residential areas and reduction of vegetated areas were the major reasons for NPP change. Land cover changes in urban areas reduced NPP, which could chiefly be attributed to human-induced disturbance.