Estimations of Land Surface Characteristic Parameters and Turbulent Heat Fluxes over the Tibetan Plateau Based on FY-4A/AGRI Data

Gao, Nan; Zhong, Lei; Ma, Yaoming; Fu, Yunfei; Zou, Minmin; Cheng, Mingming; Xian, Wang; Huang, Zhengyi

doi:10.1007/s00376-020-0169-5

Cited by 13 publications

(10 citation statements)

References 44 publications

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“…The in situ LST was retrieved from longwave radiation data from six stations based on the Stefan-Boltzmann law [1][2]:…”

Section: B Datamentioning

confidence: 99%

“…where ρ2 and ρ3 are the narrowband reflectances of band 2 and band 3 of SLSTR, respectively, and NDVImin and NDVImax are NDVI values for bare soil and full vegetation, respectively. According to the actual situation in the TP, NDVI min is set to 0, and NDVI max is set to 0.8 [2].…”

Section: B Datamentioning

confidence: 99%

“…The MOD11A1 LST products retrieved by the GSW algorithm under clear-sky conditions were used for comparison in this study. The SW algorithm proposed by Becker and Li [13] has been proven to have good accuracy over the TP, and it will be used as the retrieval algorithm in this study [2]. For the SW algorithm, the coefficients need to be determined in advance either by simulating the satellite signals with atmospheric and surface parameters based on radiative transfer model or by empirically building relationship between the satellite signals and in situ LST measurements [18].…”

Section: B Split-window (Sw) Algorithmmentioning

confidence: 99%

“…Although the former method has solid physical basis, the synchronized atmospheric profile data were extremely difficult to obtain. Therefore, the LSEs, WVC, and SZA were comprehensively considered in the LST retrieval algorithm, and the coefficients were obtained via multiple linear regression model [2,13].…”

Section: B Split-window (Sw) Algorithmmentioning

confidence: 99%

“…In addition, in the humid atmosphere (WVC>2.5 g•cm − 2 ), the water vapor content (WVC) must be explicitly included in the SW algorithm [18]. The splitwindow algorithm proposed by Becker and Li [13] explicitly incorporates the LSEs, SZA and WVC, and it has been proven to with good performance over the TP [2]. In addition, Wan and Dozier [22] developed a generalized split-window (GSW) algorithm to retrieve LST from AVHRR and MODIS data, which also involved the LSEs, SZA and WVC as input parameters.…”

mentioning

confidence: 99%

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Estimation of Land Surface Temperature Over the Tibetan Plateau Based on Sentinel-3 SLSTR Data

Zhong

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Land surface temperature (LST) plays a crucial role in the energy and water cycles of the Earth's climate system. The uncertainty of LST retrieval from satellites is a fundamental and long-standing issue, especially in plateau areas (such as the Tibetan Plateau (TP)), due to its high altitude, unique hydrometeorological conditions, and complex underlying surfaces. To improve the accuracy of LST retrieval over the TP, different methods, including the single channel (SC) algorithm, the split-window (SW) algorithm, and four machine learning (ML) models, were used to retrieve the LST based on SLSTR data in this study. The validation results indicated that the RMSEs of the LSTs retrieved by the SC and SW algorithms were 3.48 and 2.64 K, respectively, which shows better performance than the official SLSTR LST products (5.23 K). In addition, the random forest (RF) model has the highest accuracy among the four ML models, with an RMSE of 3.26 K. By comparing the performance of various methods, the SW algorithm is more stable and reliable for LST retrieval over the TP. In addition, the accurate spatiotemporal distribution of the LST based on the SW algorithm was also analyzed, which would benefit the understanding of the physical processes of energy and water cycles over the TP. IndexTerms-Land surface temperature (LST), moderate resolution imaging spectroradiometer (MODIS)/Terra, sea and land surface temperature radiometer (SLSTR) data, Tibetan Plateau (TP). I. INTRODUCTION and surface temperature (LST) is a crucial parameter for water and energy flux exchange between the land surface and atmosphere [1-3]. It has been widely used to estimate evapotranspiration (ET) [4] and the urban heat island effect [5] and to monitor climate change [6]. The Tibetan

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“…The in situ LST was retrieved from longwave radiation data from six stations based on the Stefan-Boltzmann law [1][2]:…”

Section: B Datamentioning

confidence: 99%

Section: B Datamentioning

confidence: 99%

Section: B Split-window (Sw) Algorithmmentioning

confidence: 99%

Section: B Split-window (Sw) Algorithmmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Estimation of Land Surface Temperature Over the Tibetan Plateau Based on Sentinel-3 SLSTR Data

Zhong

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Preface to the Special Issue on Fengyun Meteorological Satellites: Data, Application and Assessment

Zhang

Yang

2021

Adv. Atmos. Sci.

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Humans have a more than sixty-year history of observing Earth from space beginning after the launch of the first meteorological satellite, Television Infrared Observation Satellite (TIROS), in 1960. Satellite observations have transformed the way scientists observe and study Earth (Ackerman et al., 2019). With the progress of satellite data assimilation in the 1990s, modern Numerical Weather Prediction (NWP) became deeply tied to global satellite observations (Eyre et al., 1993). Scientists expect that meteorological satellites will play a more important role in future Earth Science studies.In 1969, meteorologists first proposed the Chinese meteorological satellite program. The latest "Fengyun" (FY) satellites were named for this initial program. Modern FY satellites are both polar sun-synchronous orbiting satellites (polar hereafter) and the geostationary orbiting satellites (GEO hereafter). These satellites work in tandem to acquire measurements on global and high temporal scales. Since the first satellite (FY-1A) was successfully launched in 1988, four series have been developed, and seventeen additional satellites have been launched. The FY series, together with National Oceanic and Atmospheric Administration (NOAA) series in the U.S.A. and the polar orbiting meteorological satellite (METOP) series in Europe, has become a main pillar used to construct Earth's operational observation system (Zhang et al., 2019a).At present, seven FY satellites operate in orbit, including three FY-2 satellites, three FY-3 satellites, and one FY-4 satellite. During the past decade, the new-generation FY polar and GEO satellites,

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Estimation of hourly actual evapotranspiration over the Tibetan Plateau from multi-source data

Xian

Zhong

et al. 2023

Atmospheric Research

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Estimations of Land Surface Characteristic Parameters and Turbulent Heat Fluxes over the Tibetan Plateau Based on FY-4A/AGRI Data

Cited by 13 publications

References 44 publications

Estimation of Land Surface Temperature Over the Tibetan Plateau Based on Sentinel-3 SLSTR Data

Estimation of Land Surface Temperature Over the Tibetan Plateau Based on Sentinel-3 SLSTR Data

Preface to the Special Issue on Fengyun Meteorological Satellites: Data, Application and Assessment

Estimation of hourly actual evapotranspiration over the Tibetan Plateau from multi-source data

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