遥感数据融合下的雄安新区NPP时空格局分析  

Spatial and Temporal Pattern Analysis of NPP in Xiong’an New Area based on Remote Sensing Data Fusion

作　　者：张容容 曾靖宇 吴晓萍 周晓桢 任斌裕 唐佳 王前锋[1,2,4] Zhang Rongrong;Zeng Jingyu;Wu Xiaoping;Zhou Xiaozhen;Ren Yubin;Tang Jia;Wang Qianfeng(College of Environmental and Safety Engineering,Fuzhou University,Fuzhou 350116,China;The Academy of Digital China(Fujian),Fuzhou 350116,China;Department of Geography,Beijing Normal University,Beijing 100101,China;Joint Global Change Research Institute,Pacific Northwest National Laboratory and University of Maryland,College Park MD 20740,US)

机构地区：[1]福州大学环境与安全工程学院,福建福州350116 [2]数字中国研究院(福建),福建福州350116 [3]北京师范大学地理科学学部,北京100101 [4]太平洋西北国家实验室联建全球变化研究所,美国马里兰20740

出　　处：《遥感技术与应用》2021年第6期1425-1435,共11页Remote Sensing Technology and Application

基　　金：国家自然科学基金项目(41601562)。

摘　　要：高时空分辨率数据对实现植被生产力动态监测和生态环境评估具有重要意义。以雄安新区为研究区,基于改进的ESTARFM融合模型构建高时空分辨率NDVI数据集,结合改进的CASA模型,模拟和分析了2000~2018年区域植被NPP的时空变化特征,并探讨气温与降水对NPP的影响。结果表明:(1)改进的ESTARFM融合模型预测结果性能较好;(2)研究区NPP的分布在空间上与土地覆被密切相关;(3)NPP在2000~2018年的变化趋势并不显著,但有明显的阶段性波动特征,主要是受到城镇化发展与农业技术水平提高等作用的影响;(4)由于区域气候的变化引起植被水分胁迫,降水对植被NPP的影响较气温更为显著。该研究能为雄安新区及其他区域的可持续发展评估提供一定的科学依据和借鉴意义。High spatial and temporal resolution data is of great significance for dynamic monitoring of vegetation productivity and ecological environment assessment.In this paper,Xiong’an New Area was taken as the research area to build a high spatial-temporal resolution NDVI data set based on our improved ESTARFM fusion model.Combined with the improved CASA model,the spatial-temporal variation characteristics of regional vegetation NPP from 2000 to 2018 were simulated and analyzed,and the impacts of temperature and precipitation on NPP were discussed.The results showed that:(1)the improved ESTARFM fusion model predicted better performance.(2)The distribution of NPP in the study area was spatially closely related to land cover.(3)The change trend of NPP from 2000 to 2018 was not significant,but it had obvious characteristics of periodic fluctuation,which is mainly affected by urbanization development and improvement of agricultural technology level.(4)As the regional climate change causes vegetation water stress,precipitation had a more significant impact on vegetation NPP than air temperature.In short,the improved ESTARFM fusion method performs well in Xiong’an new area.The improved CASA model,which takes into account the change of vegetation cover in different periods,can simulate the NPP in the study area relatively accurately.This research can provide some scientific basis and reference significance for the sustainable development assessment of Xiong’an New Area and other similar areas.

关 键 词：雄安新区 改进的ESTARFM 固碳 改进的CASA NPP 

分 类 号：Q948[生物学—植物学] TP79[自动化与计算机技术—检测技术与自动化装置]