Projection of urban land surface temperature: An inter- and intra-annual modeling approach
Authors:
- Yang ChenYang Chen
- Majid Amani-BeniMAMajid Amani-Beni
- Chundi ChenCCChundi Chen
- Yuan LiangYLYuan Liang
- Ji LiJLJi Li
- Linchuan YangLinchuan Yang
- 2 August 2023
- journal article
- research article
- Published by Elsevier in Urban Climate
- Vol. 51
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (52150410414)
This publication has 44 references indexed in Scilit:
- Relation between urban biophysical composition and dynamics of land surface temperature in the Kolkata metropolitan area: a GIS and statistical based analysis for sustainable planningModeling Earth Systems and Environment, 2018
- Analytical study of land surface temperature with NDVI and NDBI using Landsat 8 OLI and TIRS data in Florence and Naples city, ItalyEuropean Journal of Remote Sensing, 2018
- Impacts of urban surface characteristics on spatiotemporal pattern of land surface temperature in Kunming of ChinaSustainable Cities and Society, 2017
- Analytical approach for evaluating temperature field of thermal modified asphalt pavement and urban heat island effectApplied Thermal Engineering, 2017
- Evaluating the strategy of integrated urban-rural planning system and analyzing its effects on land surface temperature in a rapidly developing regionHabitat International, 2016
- Quantifying the multilevel effects of landscape composition and configuration on land surface temperatureRemote Sensing of Environment, 2016
- Studies on the temporal and spatial variations of urban expansion in Chengdu, western China, from 1978 to 2010Sustainable Cities and Society, 2015
- Assessing the effect of green cover spatial patterns on urban land surface temperature using landscape metrics approachUrban Ecosystems, 2014
- Urban Growth in Chengdu, Western China: Application of Remote Sensing to Assess Planning and Policy OutcomesEnvironment and Planning B: Planning and Design, 2005
- Land surface temperature retrieval from LANDSAT TM 5Remote Sensing of Environment, 2004