Urban Thermal Anisotropy: A Comparison Among Observational and Modeling Approaches at Different Time Scales-Reference-Cited by-同舟云学术

Urban Thermal Anisotropy: A Comparison Among Observational and Modeling Approaches at Different Time Scales

Published:2022 Issue: Volume:60 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Wang Dandan¹,Chen Yunhao¹^ORCID,Hu Leiqiu²,Voogt James A.³^ORCID

Affiliation:

1. State Key Laboratory of Remote Sensing Science, and the Beijing Key Laboratory of Environmental Remote Sensing and Digital Cities, Faculty of Geographical Science, Beijing Normal University, Beijing, China

2. Department of Atmospheric and Earth Science, The University of Alabama in Huntsville, Huntsville, AL, USA

3. Department of Geography, University of Western Ontario, London, ON, Canada

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Open Fund of State Key Laboratory of Remote Sensing Science

Projects of Beijing Advanced Innovation Center for Future Urban Design

Beijing University of Civil Engineering and Architecture

Natural Sciences and Engineering Research Council of Canada, Discovery

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09765456.pdf?arnumber=9765456

Reference45 articles.

1. MODIS land data storage, gridding, and compositing methodology: Level 2 grid

2. A two parameter model to simulate thermal infrared directional effects for remote sensing applications

3. An advanced geometric model to simulate thermal anisotropy time-series for simplified urban neighborhoods (GUTA-T)

4. Assessment of an Urban Sensor View Model for thermal anisotropy

5. Phenological Dynamics Characterization of Alignment Trees with Sentinel-2 Imagery: A Vegetation Indices Time Series Reconstruction Methodology Adapted to Urban Areas

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Utility of thermal remote sensing for evaluation of a high‐resolution weather model in a city;Quarterly Journal of the Royal Meteorological Society;2024-03-12

2. Simulation of urban thermal anisotropy at remote sensing pixel scales: Evaluating three schemes using GUTA-T over Toulouse city;Remote Sensing of Environment;2024-01

3. Global mapping of urban thermal anisotropy reveals substantial potential biases for remotely sensed urban climates;Science Bulletin;2023-08

4. A Quantitative Study of a Directional Heat Island in Hefei, China Based on Multi-Source Data;Sensors;2023-03-11

5. Retrieval of Rugged Mountainous Areas Land Surface Temperature From High-Spatial-Resolution Thermal Infrared Remote Sensing Data;IEEE Transactions on Geoscience and Remote Sensing;2023