Quantitative analysis of spatial–temporal variation and relation of LST and relevant ecological elements

被引：0

作者：

Lin W. ^{[1
]}

机构：

[1] Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Protection, College of Environment and Resources, Institute of Remote Sensing Information Engineering, Fuzhou University, Fuzhou

来源：

International Journal of Computers and Applications | 2020年 / 42卷 / 01期

基金：

中国国家自然科学基金;

关键词：

evapotranspiration; index-based build-up index (IBI); LST; remote sensing; urban heat island;

D O I：

10.1080/1206212X.2017.1397384

中图分类号：

学科分类号：

摘要：

Land surface temperature (LST), regional evapotranspiration (ET), build-up land information, vegetation information, and other land surface parameters are of great significance for urban scientific planning and urban ecosystem restoration. Taking Fuzhou City as an example and gaining the LST, regional ET, build-up land and vegetation information by Landsat satellite images, this paper finds out the spatial-temporal variation of the LST and ET in study area and conducts quantitative analysis for the relationship of the above land surface parameters. The results show that the distribution of ET in Fuzhou City has obvious zonation and the LST, urban build-up land and vegetation are significant factors affecting the urban heat island and regional ET. There is a clear linear positive correlation between ET and land surface vegetation cover and a significant linear negative correlation between ET and LST as well as between ET and build-up land information. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.

引用

页码：57 / 66

页数：9

共 27 条

[21]

Nichol J., Remote sensing of urban heat islands by day and night, Photogrammetric Eng Remote Sens, 71, 5, pp. 613-621, (2005)

[22]

Jimenez-Munoz J.C., Sobrino J.A., A generalized single-channel method for retrieving land surface temperature from remote sensing data, J Geophys Res, 108, D22, (2003)

[23]

Qin Z., Karnieli A., Berliner P., A mono-window algorithm for retrieving land surface temperature from landsat TM data and its application to the Israel-Egypt border region, Int J Remote Sens, 22, 18, pp. 3719-3746, (2001)

[24]

Jimenez-Munoz J.C., Sobrino C.J., Soria J.A., Et al., Revision of the Single-channel algorithm for land surface temperature retrieval from landsat thermal-infrared data, IEEE Trans Geosci Remote Sens, 47, 1, pp. 339-349, (2009)

[25]

Landsat 8 (L8) operational land imager (OLI) and thermal infrared sensor (TIRS) calibration notices [OL, (2013)

[26]

Xu H., A new index for delineating built-up land features in satellite imagery, Int J Remote Sens, 29, 14, pp. 4269-4276, (2008)

[27]

Wilsons J.S., Clay M., Martina E., Et al., Evaluating environmental influences of zoning in urban ecosystems with remote sensing, Remote Sens Environ, 86, 2, pp. 303-321, (2003)

← 1 2 3 →