| 利用改进的CASA模型估算城市尺度NPP——以徐州城区为例 |
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| 引用本文： | 耿笛,梁亮,黄婷,严娟,王家慧,邱思怡,王李娟.利用改进的CASA模型估算城市尺度NPP——以徐州城区为例[J].测绘通报,2021,0(1):78-83,89. |
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| 作者姓名： | 耿笛 梁亮 黄婷 严娟 王家慧 邱思怡 王李娟 |
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| 作者单位： | 江苏师范大学地理测绘与城乡规划学院,江苏 徐州221116;江苏省基础地理信息中心,江苏 南京210013 |
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| 基金项目： | 江苏省研究生科研与实践创新项目;江苏省自然科学基金;徐州市重点研发计划;中欧龙计划五期项目;江苏高校优势学科建设工程资助项目(PAPD) |
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| 摘 要： | 针对城市地物的特点，本文基于两种不同空间分辨率的遥感数据，利用原始与改进后的CASA估算了徐州城区的NPP，探讨了CASA模型的改进和遥感影像的空间分辨率对城市尺度NPP估算结果的影响。研究结果表明：①城市建筑用地对城市NPP的估算结果有较大的影响。改进的CASA模型将建筑用地的光合有效辐射（FPAR）归零，其估算值降至15.503 gC·m-2·month-1，有效去除了建筑用地对城区NPP估算的影响。②低空间分辨率的遥感数据对城市尺度的NPP存在高估现象。MOD13Q1+改进的CASA模型估算的NPP均值为18.607 gC·m-2·month-1，比Landsat 8 OLI+改进的CASA模型估算结果高出了3.104 gC·m-2·month-1。该研究结果可为城市尺度NPP估算提供新的方法，为城市碳汇估算提供科学依据。
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| 关 键 词： | 改进的CASA模型 城市尺度 NPP 空间分辨率 碳汇 |
| 收稿时间： | 2020-05-07 |
| 修稿时间： | 2020-11-16 |
Estimation of urban scale NPP by using improved CASA model:taking Xuzhou city as an example |
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| GENG Di,LIANG Liang,HUANG Ting,YAN Juan,WANG Jiahui,QIU Siyi,WANG Lijuan.Estimation of urban scale NPP by using improved CASA model:taking Xuzhou city as an example[J].Bulletin of Surveying and Mapping,2021,0(1):78-83,89. |
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| Authors: | GENG Di LIANG Liang HUANG Ting YAN Juan WANG Jiahui QIU Siyi WANG Lijuan |
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| Institution: | 1. School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, China;2. Provincial Geomatics Centre of Jiangsu, Nanjing 210013, China |
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| Abstract: | Due to the characteristics of urban surface Tfeatures,based on different resolution remote sensing data,this paper estimates the NPP of Xuzhou city by using the original and improved CASA,and discusses the improvement of the model and the impact of the spatial resolution of remote sensing image on the estimation results of urban scale NPP. The results show that: ① Urban construction land has a great influence on the estimation results of urban NPP. The improved CASA model zeros the FPAR in construction land,and reduces the estimated value to 15.503 g C·m-2·month-1,which effectively removes the impact of construction land on the estimation of NPP in urban areas. ② Low spatial resolution remote sensing data overestimates urban NPP. The average NPP estimated by MOD13 Q1+improved CASA model is 18.607 g C·m-2·month-1,which is 3.104 g C·m-2·month-1 higher than that estimated by Landsat 8 OLI+ improved CASA model. The results of this paper provide a new method for NPP estimation at city scale and the scientific basis for carbon sink estimation. |
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| Keywords: | improved CASA model unban scale NPP spatial resolution carbon sink |
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