Impacts of inter-annual cropland changes on land surface temperature based on multi-temporal thermal infrared images

Chen，Xinran1,2; Gu，Xingfa1,2,3; Liu，Peizhuo4; Wang，Dakang5; Mumtaz，Faisal2,6; Shi，Shuaiyi1; Liu，Qixin1,2; Zhan，Yulin1

2022-05-01

10.1016/j.infrared.2022.104081

INFRARED PHYSICS & TECHNOLOGY   影响因子和分区

1350-4495

1879-0275

The research on the impact of land cover changes on the thermal environment is crucial to environmental monitoring. Land surface temperature (LST) is often used as the main parameter to analyze the thermal environment. As the primary land cover type, “cropland” is the main factor affecting the LST. Previous studies investigated the effects of cropland with other land cover types on the LST but ignored the changes within cropland. Furthermore, inter-annual changes of crop types in the cropland often occur. With the growth of the crops, their impact on LST also change. Therefore, it is necessary to understand how cropland changes affect the LST. The traditional comparison method based on a single time image is not suitable for evaluating the impact of the different crops during the whole growth period because single-phase information cannot reflect the changing process of crop influence. To address this issue, this paper proposes a cumulative land surface temperature index (cLST) based on multi-temporal images to evaluate the yearly impact of cropland changes. Results indicate that different crops have different effects on the thermal environment, and the annual cLST of cotton extracted from MODIS is higher than that of corn, sorghum, and winter wheat cropland. Also, the changing amplitude of the annual cLST is mainly related to the inter-annual cropland area ratio change (R = 0.85 for winter wheat to cotton, R = 0.75 for corn to cotton) in the study area, indicating that the overall change from corn and winter wheat to cotton cropland increases the annual cLST. The effect of cotton-sorghum and winter wheat-corn change is not significant. By comparing the contribution rate, it is found that the annual cLST is more affected by the cotton-winter wheat change (35%) than air temperature (26%). The method proposed in this paper helps to reveal the impact of cropland changes on LST, and the prediction of regional climate changes.

Cropland change Cumulative LST Multi-temporal Thermal infrared remote sensing

SCI ; EI

英语

其他

National Key R&D Program of China["2020YFE0200700","2019YFE0127300"] ; Major Special Project-the China High-Resolution Earth Observation System[30-Y30F06-9003-20/22] ; Civil Aerospace Pre-Research Project[B0304] ; Guangxi Science and Technology Development Project of Major Projects[Guike AA18118048-2] ; Na-tional Natural Science Foundation of China[42005104]

Instruments & Instrumentation ; Optics ; Physics

Instruments & Instrumentation ; Optics ; Physics, Applied

WOS:000770577400005

ELSEVIER

20220811685177

Atmospheric temperature ; Climate change ; Cotton ; Infrared imaging ; Infrared radiation ; Land surface temperature ; Remote sensing ; Surface measurement ; Surface properties

Atmospheric Properties:443.1 ; Light/Optics:741.1 ; Imaging Techniques:746 ; Agricultural Products:821.4 ; Physical Properties of Gases, Liquids and Solids:931.2 ; Mechanical Variables Measurements:943.2 ; Materials Science:951

PHYSICS

2-s2.0-85124798318

Scopus

1.Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,100094,China
2.University of Chinese Academy of Sciences,Beijing,100049,China
3.School of Remote Sensing and Information Engineering,North China Institute of Aerospace Engineering,Langfang,065000,China
4.School of Instrumentation and Optoelectronic Engineering,Beihang University,Beijing,100191,China
5.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
6.State Key Laboratory of Remote Sensing Sciences,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing,100101,China

Chen，Xinran,Gu，Xingfa,Liu，Peizhuo,et al. Impacts of inter-annual cropland changes on land surface temperature based on multi-temporal thermal infrared images[J]. INFRARED PHYSICS & TECHNOLOGY,2022,122.

Chen，Xinran.,Gu，Xingfa.,Liu，Peizhuo.,Wang，Dakang.,Mumtaz，Faisal.,...&Zhan，Yulin.(2022).Impacts of inter-annual cropland changes on land surface temperature based on multi-temporal thermal infrared images.INFRARED PHYSICS & TECHNOLOGY,122.

Chen，Xinran,et al."Impacts of inter-annual cropland changes on land surface temperature based on multi-temporal thermal infrared images".INFRARED PHYSICS & TECHNOLOGY 122(2022).