Assessing the effect between green space and net primary productivity of urban forms using remote sensing and structural equation modeling

Chi Chuan Cheng, Su Fen Wang, Jen Wei Hung

研究成果: Paper

摘要

This study focuses on applying remote sensing and structural equation modeling (SEM) to assess the effect between green space and net primary productivity (NPP) of urban forms. The study area is Greater Taipei area in Taiwan, which includes two urban forms. One is Taipei City and the other is Taipei metropolitan area (i.e., Taipei City, New Taipei, and Keelung). The research processes include the calculation and selection of landscape indices, the NPP estimation using remote sensing, and the assessment of green space on the NPP between urban forms using the SEM. The results indicate as follows. (1) The green space of Taipei City is 65.44% in 2006 and the annual NPP is 2.09 ton/ha/yr. The effect of green space on the NPP is 0.86 according to the SEM established by six landscape indices, that is, percentage of landscape (PLAND), patch density (PD), largest patch index (LPI), mean Euclidean nearest neighbor distance (ENN_MN), area-weighted mean shape index (SHAPE_AM), mean patch size (AREA_MN). (2) The green space of Taipei metropolitan area is 86.32% in 2006 and the annual NPP is 3.20 ton/ha/yr. The effect of green space on the NPP is 0.93 under the established SEM by six landscape indices [PLAND, PD, LPI, ENN_MN, SHAPE_MN (mean shape index), CONTIG_AM (area-weighted mean contiguity index)]. (3) Assessing the effect between green space and NPP of two urban forms, Taipei metropolitan area is higher than Taipei City although two selected indices are different. From the above result, obviously remote sensing is a timely, economic, effective, and large-scale approach for the NPP estimation. Meanwhile, structural equation modeling is feasible to assess the effect of green space on the NPP between urban forms. The result obtained from this study can be a reference for the sustainable urban planning of Greater Taipei area in Taiwan.

原文English
出版狀態Published - 2017 一月 1
事件38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017 - New Delhi, India
持續時間: 2017 十月 232017 十月 27

Other

Other38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017
國家India
城市New Delhi
期間17-10-2317-10-27

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

指紋 深入研究「Assessing the effect between green space and net primary productivity of urban forms using remote sensing and structural equation modeling」主題。共同形成了獨特的指紋。

引用此