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基于遥感生态指数的雄安新区生态质量评价

[Ecological quality assessment of Xiongan New Area based on remote sensing ecological index].

作者信息

Yang Jiang Yan, Wu Tian, Pan Xiao Yan, DU Hai Tong, Li Jin Lu, Zhang Li, Men Ming Xin, Chen Ying

机构信息

Institute of Land and Resources, Agricultural University of Hebei, Baoding 071000, Hebei, China.

China Land Survey and Planning Institute, Beijing 100035, China.

出版信息

Ying Yong Sheng Tai Xue Bao. 2019 Jan 20;30(1):277-284. doi: 10.13287/j.1001-9332.201901.017.

Abstract

The continuous urbanization leads to increasing pressure on the ecological environment. It is a key point to measure regional ecological environment quality objectively, accurately and quickly from multiple directions in ecological research. In this study, the normalized vegetation index (NDVI), wet index (WET), land surface temperature (LST), and normalized difference building-soil index (NDBSI) were extracted from the aspects of greenness, humidity, heat and dryness. The ecological quality of Xiongan New Area between 1995 and 2015 was evaluated by integrating selected indicators to measure the remote sensing ecological index (RSEI) with principal component analysis technology based on ENVI platform. The results showed that the average RSEI of Xiongan New Area was 0.724, 0.710, and 0.682 in 1995, 2004 and 2015, respectively, showing a downward trend. RSEI mainly changed from 4, 5 to 1, 2 and 3 in the study area from 1995 to 2015. Ecological quality improved and deteriorated area accounted for 8.9% and 20.9% of the total area respectively. The ecological quality improved area was mainly located in the east and south of Xiongxian County, because a large area of forests and gardens was highly valued and strictly protected by the local government. The ecological quality deteriorated area was in the periphery of the town and the surrounding area of Baiyangdian due to the sharp decline of the water area of Baiyangdian and the continuous urbanization. The three-year average correlation coefficient between RSEI and each component index was 0.804, which was higher than that between other component indices. Our results showed that RSEI could efficiently integrate the information of each component index and comprehensively and accurately reflect the ecological quality of the study area.

摘要

持续的城市化进程给生态环境带来了越来越大的压力。在生态研究中,从多个方向客观、准确、快速地衡量区域生态环境质量是关键所在。本研究从绿度、湿度、热度和干度等方面提取了归一化植被指数(NDVI)、湿度指数(WET)、地表温度(LST)和归一化建筑-土壤差异指数(NDBSI)。基于ENVI平台,运用主成分分析技术,通过整合选定指标来衡量遥感生态指数(RSEI),对雄安新区1995年至2015年的生态质量进行了评估。结果表明,雄安新区1995年、2004年和2015年的平均RSEI分别为0.724、0.710和0.682,呈下降趋势。1995年至2015年,研究区域内RSEI主要从4、5转变为1、2和3。生态质量改善和恶化的区域分别占总面积的8.9%和20.9%。生态质量改善区域主要位于雄县东部和南部,因为当地政府高度重视并严格保护了大面积的森林和园林。由于白洋淀水域面积急剧减少以及城市化的持续推进,生态质量恶化区域位于城镇周边和白洋淀周边地区。RSEI与各分量指标的三年平均相关系数为0.804,高于其他分量指标之间的相关系数。我们的结果表明,RSEI能够有效地整合各分量指标的信息,全面、准确地反映研究区域的生态质量。

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