Opportunities and Challenges of Spaceborne Sensors in Delineating Land Surface Temperature Trends: A Review

被引:26
作者
Ahmed, M. Razu [1 ]
Ghaderpour, Ebrahim [2 ]
Gupta, Anil [3 ]
Dewan, Ashraf [4 ]
Hassan, Quazi K. [1 ]
机构
[1] Univ Calgary, Schulich Sch Engn, Dept Geomat Engn, Calgary, AB T2N IN4, Canada
[2] Sapienza Univ Rome, Dept Earth Sci, I-00185 Rome, Italy
[3] Alberta Environm & Protect Areas, Resource Stewardship Div, Calgary, AB, Canada
[4] Curtin Univ, Sch Earth & Planetary Sci, Spatial Sci Discipline, Bentley, WA 6102, Australia
基金
加拿大自然科学与工程研究理事会;
关键词
Land surface temperature (LST); Moderate Resolution Imaging Spectroradiometer (MODIS); passive microwave (PMW); thermal infrared (TIR); trend; TIBETAN PLATEAU; SPATIOTEMPORAL VARIABILITY; URBAN EXPANSION; VEGETATION; IMPACTS; PRODUCT; AVHRR; METROPOLITAN; ANOMALIES; IMAGERY;
D O I
10.1109/JSEN.2023.3246842
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Understanding the land surface temperature (LST) trends is crucial for policymakers and stakeholders to develop adaptation and mitigation strategies suitable for a sustainable environment coping in the face of climate change. This article presents a systematic review of the studies related to delineating spaceborne sensor-based LST trends, including information on the instruments and constellations of satellites (missions) that provide thermal infrared (TIR) and passive microwave (PMW) observations. About 99% of the studies used TIR, where 76% were Moderate Resolution Imaging Spectroradiometer (MODIS, onboard Terra/Aqua) observations. Opportunities, challenges, and research gaps for using the TIR and PMW observations were also explored, with instruments onboard either polar-orbiting or geostationary satellites. We identified that the calibrated dataset (e.g., processed, harmonized, and standardized) is extremely limited for each constellation, with multiple satellites and instruments, to make it fully useful for the entire mission period. A few problematic methodological concepts were identified, including using a few images in a longer time series. Using only a few images, acquired on different calendar months in different years, would not provide the true annual trends over the study period because they can be influenced by seasonal variations. To estimate the warming or cooling daytime, nighttime, or diurnal LST trends, the use of MODIS observations could be useful, even though it does not acquire images during the maximum or minimum temperature in a daily cycle. This article indicated further investigations into those research gaps and recommended directions to overcome most of these limitations.
引用
收藏
页码:6460 / 6472
页数:13
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