Hyperspectral thermal infrared remote sensing： Current status and perspectives

Wu, Hua; Li, X. L.; LI, Zhaoliang; Duan, Si‐Bo; Ye, Qian

doi:10.11834/jrs.20211306

Cited by 7 publications

(1 citation statement)

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“…However, urban surfaces are extremely complex, with varied surface components and materials with different thermal properties. In addition, urban surfaces contain complex three-dimensional (3-D) structures, which further exacerbate LST heterogeneity [1][2][3]. Satellite thermal remote sensing suffers from a tradeoff between the spatial and temporal resolutions of LST, which greatly limits the application of LST in urban systems.…”

Section: Introductionmentioning

confidence: 99%

Localized Downscaling of Urban Land Surface Temperature—A Case Study in Beijing, China

Ouyang

2022

Remote Sensing

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High-resolution land surface temperature (LST) data are essential for fine-scale urban thermal environment studies. Urban LST downscaling studies mostly remain focused on only two-dimensional (2-D) data, and neglect the impact of three-dimensional (3-D) surface structure on LST. In addition, the choice of window size is also important for LST downscaling over heterogeneous surfaces. In this study, we downscaled Landsat-LST using localized and stepwise approaches in a random forest model (RF). In addition, both 2- and 3-D building morphologies were included. Our results show that: (1) The performances of a local moving window and stepwise downscaling are dependent on the extent of surface heterogeneity. For mixed surfaces, a localized window performed better than the global window, and a stepwise approach performed better than a single-step approach. However, for monotonous surfaces (e.g., urban impervious surfaces), the global window performed better than a localized window; (2) That multi-scale geographically weighted regression (MGWR) could provide a possibility for selection of the optimal moving window. 7 × 7 windows derived from MGWR by the minimum bandwidth of predictors, performed better than other windows (3 × 3, 5 × 5, and 11 × 11) in the Beijing area; (3) That the morphology of buildings has a non-negligible impact and scaling effect on urban LST. When building morphologies were included in downscaling, the performance of the RF model improved. Furthermore, the importance of the sky view factor, building height, and building density was greater at a higher resolution than at a lower resolution.

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Section: Introductionmentioning

confidence: 99%

Localized Downscaling of Urban Land Surface Temperature—A Case Study in Beijing, China

Ouyang

2022

Remote Sensing

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Geoinformatics Approaches to Climate Change-Induced Soil Degradation in the MENA Region: A Review

Al-Quraishi

2024

The Handbook of Environmental Chemistry

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Assessment of spatio-temporal dynamics of land degradation and desertification in Pakistan and its impact on agriculture productivity

Hissan,

Shafiq,

Nassani

et al. 2024

Environ Dev Sustain

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Various natural and anthropogenic activities such as climate change, urbanization and industrialization play a vital role in changing the land characteristics. These changes does not only affect the human lives and activities, but also results in tremendous decrease in agricultural productivity and arable land. Thus, the purpose of this study is to analyze the land degradation and desertification in Pakistan using satellite imageries data acquired from the Landsat 8 and 9. For the empirical analysis, various indices such as Normalized Difference Vegetation Index, Normalized Difference Bare Soil Index, Supervised classification and Land Surface Temperature are examined using Google earth engine cloud computing platform. The results showed that desertified and built-up-land are increasing, while degraded land, arable land, and vegetative land are decreasing in the study area. Also, results of land surface temperature analysis showed a rise in the temperature up to 3.060C as compared to previous two years. Moreover, estimated findings from regression analysis showed that Normalized Difference Vegetation Index, and Normalized Difference Bare Soil Index positively affects the Land Surface Temperature. The findings of study are important for government and concern stakeholders to take necessary measures to stop the conversion of productive green land into unproductive degraded and desertified land.

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Hyperspectral thermal infrared remote sensing： Current status and perspectives

Cited by 7 publications

References 0 publications

Localized Downscaling of Urban Land Surface Temperature—A Case Study in Beijing, China

Localized Downscaling of Urban Land Surface Temperature—A Case Study in Beijing, China

Geoinformatics Approaches to Climate Change-Induced Soil Degradation in the MENA Region: A Review

Assessment of spatio-temporal dynamics of land degradation and desertification in Pakistan and its impact on agriculture productivity

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