Decheng Zhou

Prof. Decheng Zhou

Nanjing University of Information Science & Technology
orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 December 2018 in Remote Sensing
Verified
Journal Article
Open access
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DZDecheng Zhou
Decheng Zhou
JXJingfeng Xiao
Jingfeng Xiao
Stefania BonafoniStefania Bonafoni
Stefania Bonafoni
CBChristian Berger
Christian Berger
KDKaveh Deilami
Kaveh Deilami
Jose A. SobrinoJose A. Sobrino
Jose A. Sobrino
The surface urban heat island (SUHI), which represents the difference of land surface temperature (LST) in urban relativity to neighboring non-urban surfaces, is usually measured using satellite LST data. Over the last few decades, advancements of remote sensing along with spatial science have considerably increased the number and quality of SUHI studies that form the major body of the urban heat island (UHI) literature. This paper provides a systematic review of satellite-based SUHI studies, from their origin in 1972 to the present. We find an exponentially increasing trend of SUHI research since 2005, with clear preferences for geographic areas, time of day, seasons, research foci, and platforms/sensors. The most frequently studied region and time period of research are China and summer daytime, respectively. Nearly two-thirds of the studies focus on the SUHI/LST variability at a local scale. The Landsat Thematic Mapper (TM)/Enhanced Thematic Mapper (ETM+)/Thermal Infrared Sensor (TIRS) and Terra/Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) are the two most commonly-used satellite sensors and account for about 78% of the total publications. We systematically reviewed the main satellite/sensors, methods, key findings, and challenges of the SUHI research. Previous studies confirm that the large spatial (local to global scales) and temporal (diurnal, seasonal, and inter-annual) variations of SUHI are contributed by a variety of factors such as impervious surface area, vegetation cover, landscape structure, albedo, and climate. However, applications of SUHI research are largely impeded by a series of data and methodological limitations. Lastly, we propose key potential directions and opportunities for future efforts. Besides improving the quality and quantity of LST data, more attention should be focused on understudied regions/cities, methods to examine SUHI intensity, inter-annual variability and long-term trends of SUHI, scaling issues of SUHI, the relationship between surface and subsurface UHIs, and the integration of remote sensing with field observations and numeric modeling.

1 September 2014 in Remote Sensing of Environment
Verified
Journal Article
Closed access
DZDecheng Zhou
Decheng Zhou
SZShuqing Zhao
Shuqing Zhao
SLShuguang Liu
Shuguang Liu
LZLiangxia Zhang
Liangxia Zhang
CZChao Zhu
Chao Zhu

16 May 2016 in Proceedings of the National Academy of Sciences
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Journal Article
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SZShuqing Zhao
Shuqing Zhao
SLShuguang Liu
Shuguang Liu
DZDecheng Zhou
Decheng Zhou
Significance: Cities experiencing elevated temperature (i.e., urban “heat island” warming), CO 2 , and nitrogen deposition decades ahead of the projected average global change are regarded as the “harbingers” of the future global change. It is for this reason that cities have been regarded as ideal natural laboratories for global change studies and particularly valuable to elucidate the potential responses of other nonurban ecosystems to future climate and environmental changes. However, the impacts of urbanization on vegetation growth are not well understood. We demonstrate, conceptually and empirically, that urbanization generates direct and indirect effects on vegetation growth at the landscape to regional scales.

10 June 2015 in Scientific Reports
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Journal Article
Open access
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DZDecheng Zhou
Decheng Zhou
SZShuqing Zhao
Shuqing Zhao
LZLiangxia Zhang
Liangxia Zhang
Ge SunGe Sun
Ge Sun
YLYongqiang Liu
Yongqiang Liu
Urban heat island (UHI) is one major anthropogenic modification to the Earth system that transcends its physical boundary. Using MODIS data from 2003 to 2012, we showed that the UHI effect decayed exponentially toward rural areas for majority of the 32 Chinese cities. We found an obvious urban/rural temperature “cliff” and estimated that the footprint of UHI effect (FP, including urban area) was 2.3 and 3.9 times of urban size for the day and night, respectively, with large spatiotemporal heterogeneities. We further revealed that ignoring the FP may underestimate the UHI intensity in most cases and even alter the direction of UHI estimates for few cities. Our results provide new insights to the characteristics of UHI effect and emphasize the necessity of considering city- and time-specific FP when assessing the urbanization effects on local climate.

1 April 2016 in Remote Sensing of Environment
Verified
Journal Article
Closed access
DZDecheng Zhou
Decheng Zhou
SZShuqing Zhao
Shuqing Zhao
LZLiangxia Zhang
Liangxia Zhang
SLShuguang Liu
Shuguang Liu

16 March 2022 in Agricultural and Forest Meteorology
Verified
Journal Article
Closed access
YPYanyan Pei
Yanyan Pei
JDJinwei Dong
Jinwei Dong
YZYao Zhang
Yao Zhang
WYWenping Yuan
Wenping Yuan
RDRussell Doughty
Russell Doughty
XXXiangming Xiao
Xiangming Xiao