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首页> 外文期刊>Frontiers of earth science >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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Assessing the impact of urbanization on net primary productivity using multi-scale remote sensing data: a case study of Xuzhou, China

机译：利用多尺度遥感数据评估城市化对净初级生产力的影响：以中国徐州为例

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摘要

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.
机译：基于两种遥感（RS）数据，Landsat增强型专题制图仪Plus（ETM +）和中分辨率成像光谱辐射仪（MODIS）的改进的卡内基·埃姆斯·斯坦福方法（CASA）模型，以及气候变量被用于估算从2001年到2010年，每年6月徐州的净初级生产力（NPP）。研究区域的NPP随着空间规模的增加而减小。近年来，徐州陆地植被的平均NPP呈下降趋势，这可能是由于气候和环境的变化。研究区域分为四个子区域，分别以NPP的最高，中等偏高，中等偏低和最低分。 NPP中被指定为最低子区域的面积随着规模的扩大而增加，这表明NPP的分布随空间尺度的变化而变化。不同植被类型的NPP也受到尺度的显着影响。特别是，由于像素混合，城市林地的NPP得出的估算值较低。在不同的遥感数据中观察到了NPP的相似趋势。此外，居民区的扩大和植被的减少是核电厂变化的主要原因。城市地区的土地覆盖变化减少了NPP，这主要归因于人为干扰。

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