基于长时间序列遥感数据的阿伯德尔国家公园 生态环境质量评价

doi:10.12082/dqxxkx.2019.190117

地球信息科学学报 ›› 2019, Vol. 21 ›› Issue (9): 1479-1479.doi: 10.12082/dqxxkx.2019.190117

基于长时间序列遥感数据的阿伯德尔国家公园生态环境质量评价

王法溧^1,^2,³,何晓宇⁴,方泽兴⁴,魏显虎^1,^3,^*(),叶虎平^1,³,施令飞^1,^2,³

^1. 中国科学院遥感与数字地球研究所,北京 100101
^2. 中国科学院大学,北京 100049
^3. 中国科学院中-非联合研究中心,武汉 430074
^4. 浙江省交通规划设计研究院有限公司,杭州 310013

收稿日期:2019-03-13 修回日期:2019-05-16 出版日期:2019-09-25 发布日期:2019-09-24
通讯作者: 魏显虎 E-mail:weixh@radi.ac.cn
作者简介:王法溧（1994-）,女,黑龙江佳木斯人,硕士生,研究方向为大型工程环境遥感。E-mail: wangfl@radi.ac.cn
基金资助:
中国科学院境外科教机构建设项目(SAJC201608);浙江省交通运输厅科研计划项目(2018044)

Assessment of the Eco-environmental Quality in Aberdare National Park based on Long-term Sequence Remote Sensing Data

WANG Fali^1,^2,³,HE Xiaoyu⁴,FANG Zexing⁴,WEI Xianhu^1,^3,^*(),YE Huping^1,³,SHI Lingfei^1,^2,³

^1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
^2. University of Chinese Academy of Sciences, Beijing 100049, China
^3. Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan 430074, China
^4. ZhejiangProvincial Institute of Communications Planning, Design & Research, Hangzhou 310013, China;

Received:2019-03-13 Revised:2019-05-16 Online:2019-09-25 Published:2019-09-24
Contact: WEI Xianhu E-mail:weixh@radi.ac.cn
Supported by:
Overseas Science and Education base Construction Project of Chinese Academy of Sciences(SAJC201608);Scientific Research Project of Zhejiang Department of Transportation(2018044)

摘要/Abstract

摘要：

阿伯德尔国家公园位于号称肯尼亚“水塔”的阿伯德尔山脉上,是肯尼亚重要的旅游景区和珍稀动植物保护区,开展该地生态环境质量评价对肯尼亚水资源保护与可持续发展具有重要的意义。本研究基于1987-2018年的Landsat系列遥感数据,通过计算综合遥感生态指数RSEI,结合趋势线分析法对阿伯德尔国家公园近32年间生态环境质量变化进行客观定量分析。研究结果显示：① 1987-2018年研究区RSEI均值从0.62下降到0.51,生态环境质量退化的区域面积为551.52 km ²,占总面积的71.85%,表明在气候变化和人类活动影响下,1987-2018年研究区的环境状况呈恶化趋势;②环境质量显著恶化的区域主要分布于亚高山植被区和东部低海拔森林覆盖区,亚高山地区植被生态系统结构单一,稳定性差,对气候变化和人类活动更为敏感;而东部区域存在过度开发,非法砍伐森林等现象,且旅游开发强度大,环境恶化与人类活动密切相关。

关键词: 阿伯德尔国家公园, 生态环境质量, 遥感数据, 生态指数RSEI, 主成分分析, PCA, 趋势线分析

Abstract:

Aberdare National Park is one of the important landscapes and rare species natural protection zones in Kenya, which is located in the Aberdare mountain area, an important water tower of Kenya. To monitor the dynamics of the eco-environment, evaluate its quality and evolution is essential and important, which will help design government policies for Kenya's water resource protection and sustainable development. In this research, a synthetic Remote Sensing Ecology Index (RSEI) was adopted to analyze the eco-environment quality dynamics in Aberdare National Park during 1987-2018, by using time series Landsat imagery. To calculate RSEI, four remote sensing indexes were extracted from every image, including Normalized Differential Vegetation Index (NDVI), Wet Index (WET), Land Surface Temperature (LST) and Soil Index (SI). These indexes reflect the spatiotemporal variations in the study area from four aspects: greenness, humidity, heat, and dryness. After deriving the four indexes, the Principal Component Analysis (PCA) was used to generate RSEI. Finally, trend line analysis was used to do spatiotemporal dynamic analysis of the eco-environment condition of Aberdare National Park. The results show that the remote sensing ecological index contains most of the characteristics information of the four remote sensing indexes, which can exactly reflect the eco-environment quality of Aberdare National Park. Specifically, NDVI (Greenness) and WET index (humidity) are positively related to the eco-environment quality, while LST (heat) and SI (dryness) are negatively related. The average RSEI of Aberdare National Park decreased from 0.62 to 0.51 during 1987-2018, and the area of eco-environment quality degradation was 551.52 km ² which covered the 71.85% of the total national park area. The important deterioration reason of ecological environment was climate change combined with human activities. Further analysis shows that the region experienced severe eco-environment deterioration mainly located in the sub-alpine vegetation area and low-altitude forest area eastern of the park. The ecosystem of the sub-alpine vegetation area was fragile and had poor stability because of its simple community structure, which made this area more sensitive to climate change and human activities. On the other hand, the eastern region suffered from over-exploitation and illegal deforestation, and had higher tourist development intensity. So, the eco-environment deterioration of this area was closely related to human activities, the pollution and soil erosion caused by tourist infrastructure construction and repeated rolling of tourist guided vehicles were the main reasons for the degradation of the eco-environment quality.

Key words: Aberdare National Park, eco-environment quality, remote sensing data, Remote Sensing Ecological Index, Principal Component Analysis, trend line analysis

王法溧,何晓宇,方泽兴,魏显虎,叶虎平,施令飞. 基于长时间序列遥感数据的阿伯德尔国家公园生态环境质量评价[J]. 地球信息科学学报, 2019, 21(9): 1479-1479.DOI:10.12082/dqxxkx.2019.190117

WANG Fali,HE Xiaoyu,FANG Zexing,WEI Xianhu,YE Huping,SHI Lingfei. Assessment of the Eco-environmental Quality in Aberdare National Park based on Long-term Sequence Remote Sensing Data[J]. Journal of Geo-information Science, 2019, 21(9): 1479-1479.DOI:10.12082/dqxxkx.2019.190117

图/表 7

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年份	指标	对PC1载荷值	对PC2载荷值	对PC3载荷值	对PC4载荷值
1987	NDVI	0.68	0.35	0.64	<0.01
	WET	0.66	0.08	-0.75	<0.01
	LST	-0.31	0.93	-0.17	<0.01
	SI	-0.01	-0.01	<0.01	1.00
	特征值	0.22	0.06	<0.01	<0.01
	贡献率/%	84.71	12.07	3.20	0.02
1995	NDVI	0.60	0.14	0.61	<-0.01
	WET	0.59	-0.80	-0.33	0.11
	LST	-0.57	-0.57	0.52	0.20
	SI	0.26	0.11	0.20	<0.01
	特征值	0.33	0.02	<0.01	<0.01
	贡献率%	92.55	5.11	1.94	0.40
2002	NDVI	0.64	0.66	0.40	<0.01
	WET	0.56	0.05	-0.82	0.03
	LST	-0.52	0.75	-0.40	0.02
	SI	-0.01	0.02	0.03	1.00
	特征值	0.22	0.04	0.02	<0.01
	贡献率/%	80.88	13.51	5.51	0.10
2010	NDVI	0.60	0.13	-0.61	0.49
	WET	0.53	0.03	0.78	0.31
	LST	-0.51	0.93	0.08	0.20
	SI	-0.29	-0.33	0.05	<0.01
	特征值	0.24	0.03	0.01	<0.01
	贡献率/%	83.55	10.70	5.55	0.20
2018	NDVI	0.58	0.26	-0.77	0.07
	WET	0.57	0.15	-0.42	-0.69
	LST	-0.42	0.91	0.01	-0.14
	SI	-0.40	-0.30	-0.49	-0.70
	特征值	0.29	0.04	<0.01	<0.01
	贡献率/%	81.68	12.50	5.51	0.31

基于长时间序列遥感数据的阿伯德尔国家公园生态环境质量评价

Assessment of the Eco-environmental Quality in Aberdare National Park based on Long-term Sequence Remote Sensing Data

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基于长时间序列遥感数据的阿伯德尔国家公园 生态环境质量评价

Assessment of the Eco-environmental Quality in Aberdare National Park based on Long-term Sequence Remote Sensing Data

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基于长时间序列遥感数据的阿伯德尔国家公园生态环境质量评价