Exploring the Relationships between Land Surface Temperature and Its Influencing Factors Using Multisource Spatial Big Data: A Case Study in Beijing, China
A better understanding of the relationship between land surface temperature (LST) and its influencing factors is important to the livable, healthy, and sustainable development of cities. In this study, we focused on the potential effect of human daily activities on LST from a short-term perspective....
Main Authors: | Xiaoxi Wang, Yaojun Zhang, Danlin Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/7/1783 |
Similar Items
-
A New Approach to Refining Land Use Types: Predicting Point-of-Interest Categories Using Weibo Check-in Data
by: Xucai Zhang, et al.
Published: (2020-02-01) -
Revealing the Driving Mechanisms of Land Surface Temperature Spatial Heterogeneity and Its Sensitive Regions in China Based on GeoDetector
by: Yanru Yu, et al.
Published: (2023-05-01) -
An Efficient Approach for Pixel Decomposition to Increase the Spatial Resolution of Land Surface Temperature Images from MODIS Thermal Infrared Band Data
by: Fei Wang, et al.
Published: (2014-12-01) -
Spatial Downscaling of MODIS Land Surface Temperature Based on a Geographically and Temporally Weighted Autoregressive Model
by: Xiaobo Luo, et al.
Published: (2021-01-01) -
Spatial Relationship between Land Use Patterns and Ecosystem Services Value—Case Study of Nanjing
by: Ming Lu, et al.
Published: (2022-07-01)