Peng Ren

Dr. Peng Ren


Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

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

Representative Publications

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1 June 2021 in Sustainable Cities and Society
Verified
Journal Article
Closed access
QQQianlong Qi
Qianlong Qi
QMQinglin Meng
Qinglin Meng
JWJunsong Wang
Junsong Wang
Peng RenPeng Ren
Peng Ren

24 February 2023 in Energy and Buildings
Verified
Journal Article
Closed access
JWJunsong Wang
Junsong Wang
QMQinglin Meng
Qinglin Meng
CYChang Yang
Chang Yang
Peng RenPeng Ren
Peng Ren
MSMat Santamouris
Mat Santamouris

1 June 2021 in Building and Environment
Verified
Journal Article
Closed access
XZXue Zhong
Xue Zhong
LZLihua Zhao
Lihua Zhao
JWJie Wang
Jie Wang
HZHaichao Zheng
Haichao Zheng
JYJunru Yan
Junru Yan
Peng RenPeng Ren
Peng Ren

6 January 2022 in Building and Environment
Verified
Journal Article
Closed access
QQQianlong Qi
Qianlong Qi
QMQinglin Meng
Qinglin Meng
JWJunsong Wang
Junsong Wang
Bao-Jie HeBao-Jie He
Bao-Jie He
HLHaoyan Liang
Haoyan Liang
Peng RenPeng Ren
Peng Ren

27 October 2015 in Remote Sensing
Verified
Journal Article
Open access
PDF file
Peng RenPeng Ren
Peng Ren
QMQinglin Meng
Qinglin Meng
YZYufeng Zhang
Yufeng Zhang
LZLihua Zhao
Lihua Zhao
XYXu Yuan
Xu Yuan
XFXiaoheng Feng
Xiaoheng Feng
Satellite remote sensing data that lacks spatial resolution and timeliness is of limited ability to access urban thermal environment on a micro scale. This paper presents an unmanned airship low-altitude thermal infrared remote sensing system (UALTIRSS), which is composed of an unmanned airship, an onboard control and navigation subsystem, a task subsystem, a communication subsystem, and a ground-base station. Furthermore, an experimental method and an airborne-field experiment for collecting land surface temperature (LST) were designed and conducted. The LST pattern within 0.8-m spatial resolution and with root mean square error (RMSE) value of 2.63 °C was achieved and analyzed in the study region. Finally, the effects of surface types on the surrounding thermal environment were analyzed by LST profiles. Results show that the high thermal resolution imagery obtained from UALTIRSS can provide more detailed thermal information, which are conducive to classify fine urban material and assess surface urban heat island (SUHI). There is a significant positive correlation between the average LST of profiles and the percent impervious surface area (ISA%) with R2 around 0.917. Overall, UALTIRSS and the retrieval method were proved to be low-cost and feasible for studying micro urban thermal environments.

9 July 2022 in Building and Environment
Verified
Journal Article
Closed access
XZXiang Zhang
Xiang Zhang
LZLihua Zhao
Lihua Zhao
Lingye YaoLingye Yao
Lingye Yao
XZXue Zhong
Xue Zhong
Peng RenPeng Ren
Peng Ren