Monitoring and analysis of the change of ecological environment in Qingdao based on remote sensing technologies

doi:10.13474/j.cnki.11-2246.2020.0284

Abstract

Abstract: A series of ecological environment problems were brought with the accelerating process of urbanization. In this paper, the normalized differential vegetation index, wet, land surface temperature, normalized difference built-up and soil index are used to quantitatively represent the ecological factors of the greenness, the humidity, the heat, and the dryness. The four indicators are synthesized by the principal component analysis (PCA) method to establish a remote sensing ecological index model (RSEI). The RSEI in 2013 and 2019 are compared to evaluate the change of ecological status in Qingdao with the perspective of spatial and temporal different. The results show that the ecological environment of Qingdao is optimized and improved in some partial areas but it is decreased and deteriorated as a whole. At the same time, the RSEI of Qingdao is coupled analysis with the data of landcover changes, road networks and night lights which are related to human activities to further analyze and explore the influence factors of the ecological status change.

Key words: Qingdao city, urbanization, RSEI, the change of ecological status, PCA

CLC Number:

P237

LIU Yu, QI Jianwei, LU Hongzhong, WANG Guanghui, GAO Xinyuan, WANG Jie, ZHANG Tao. Monitoring and analysis of the change of ecological environment in Qingdao based on remote sensing technologies[J]. Bulletin of Surveying and Mapping, 2020, 0(9): 60-65.

References

[1] 徐涵秋.区域生态环境变化的遥感评价指数[J].中国环境科学,2013,33(5):889-897.
[2] 徐涵秋.城市遥感生态指数的创建及其应用[J].生态学报,2012,33(24):7853-7862.
[3] OCHOA-GAONA S, KAMPICHLER C, JONG BHJD, et al. A multi-criterion index for the evaluation of local tropical forest conditions in Mexico[J]. Forest Ecology & Management,2010, 260(5):618-627.
[4] SULLIVAN C A, SKEFFINGTON M S, GORMALLY M J, et al. The ecological status of grasslands on lowland farmlands in western Ireland and implications for grassland classification and nature value assessment[J].Biological Conservation,2010, 143(6):1529-1539.
[5] KIM J H, YEOM D H, KIM J H, et al. New ecological health assessment approaches of an urban stream using molecular and physiological level biomarkers and bioindicators[J]. Animal Cells & Systems the Official Publication of the Zoological Society of Korea, 2012, 16(4):1-8.
[6] 安文超,汪进生,王艳玲.青岛市生态环境质量动态变化研究[J].中国环境管理干部学院学报,2014,24(1):23-25.
[7] 国家生态环保部. 生态环境状况评价技术规范:HJ/T 192-2006[S].北京:中国环境科学出版社,2006.
[8] 宋慧敏,薛亮.基于遥感生态指数模型的渭南市生态环境质量动态监测与分析[J].应用生态学报,2016,27(12):3913-3919.
[9] 程朋根,岳琛,危小建,等.尺度变化对城市生态环境与人类活动关系的影响研究[J].测绘通报,2020(3):56-63.
[10] 罗春,刘辉,戚陆越.基于遥感指数的生态变化评估——以常宁市为例[J].国土资源遥感,2014,26(4):145-150.
[11] 刘智才,徐涵秋,李乐,等.基于遥感生态指数的杭州市城市生态变化[J].应用基础与工程科学学报,2015,23(4):89-100.
[12] HUANG C, WYLIE B, YANG L, et al. Derivation of a tasselled cap transformation based on Landsat 7 at satellite reflectance[J]. International journal of remote sensing, 2002, 23(8):1741-1748.
[13] 胡德勇,乔琨,王兴玲,等.利用单窗算法反演Landsat 8 TIRS数据地表温度[J].武汉大学学报(信息科学版),2017, 42(7):869-876.
[14] ARTIS D A, CARNAHAN W H. Survey of emissive varia-bility in thermography of urban areas[J]. Remote Sensing of Environment, 1982,12(4):313-329.
[15] 王帅,徐涵秋,唐菲.基于IBI和CA模型的城市建成区提取及其应用——以上海市为例[J].遥感技术与应用,2017, 32(6):1161-1170.
[16] 周玄德,郭华东,邓祖涛,等.干旱区绿洲城市遥感生态指数变化监测[J].资源科学,2019, 41(5):180-190.