干旱区生态环境知识资源中心(Arid): Monitoring 10-m LST from the Combination MODIS/Sentinel-2, Validation in a High Contrast Semi-Arid Agroecosystem

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DOI	10.3390/rs12091453
	Monitoring 10-m LST from the Combination MODIS/Sentinel-2, Validation in a High Contrast Semi-Arid Agroecosystem
	Sanchez, Juan M.; Galve, Joan M.; Gonzalez-Piqueras, Jose; Lopez-Urrea, Ramon; Niclos, Raquel; Calera, Alfonso
通讯作者	Sanchez, JM
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:9
英文摘要	Downscaling techniques offer a solution to the lack of high-resolution satellite Thermal InfraRed (TIR) data and can bridge the gap until operational TIR missions accomplishing spatio-temporal requirements are available. These techniques are generally based on the Visible Near InfraRed (VNIR)-TIR variable relations at a coarse spatial resolution, and the assumption that the relationship between spectral bands is independent of the spatial resolution. In this work, we adopted a previous downscaling method and introduced some adjustments to the original formulation to improve the model performance. Maps of Land Surface Temperature (LST) with 10-m spatial resolution were obtained as output from the combination of MODIS/Sentinel-2 images. An experiment was conducted in an agricultural area located in the Barrax test site, Spain (39 degrees 03 ' 35 '' N, 2 degrees 06 ' W), for the summer of 2018. Ground measurements of LST transects collocated with the MODIS overpasses were used for a robust local validation of the downscaling approach. Data from 6 different dates were available, covering a variety of croplands and surface conditions, with LST values ranging 300-325 K. Differences within +/- 4.0 K were observed between measured and modeled temperatures, with an average estimation error of +/- 2.2 K and a systematic deviation of 0.2 K for the full ground dataset. A further cross-validation of the disaggregated 10-m LST products was conducted using an additional set of Landsat-7/ETM+ images. A similar uncertainty of +/- 2.0 K was obtained as an average. These results are encouraging for the adaptation of this methodology to the tandem Sentinel-3/Sentinel-2, and are promising since the 10-m pixel size, together with the 3-5 days revisit frequency of Sentinel-2 satellites can fulfill the LST input requirements of the surface energy balance methods for a variety of hydrological, climatological or agricultural applications. However, certain limitations to capture the variability of extreme LST, or in recently sprinkler irrigated fields, claim the necessity to explore the implementation of soil moisture or vegetation indices sensitive to soil water content as inputs in the downscaling approach. The ground LST dataset introduced in this paper will be of great value for further refinements and assessments.
英文关键词	Downscaling thermal infrared land surface temperature disaggregation Copernicus
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000543394000100
WOS关键词	LAND-SURFACE TEMPERATURE ; HIGH-RESOLUTION EVAPOTRANSPIRATION ; ENERGY-BALANCE ; TIME-SERIES ; MODIS ; DISAGGREGATION ; MODEL ; VEGETATION ; FLUXES ; SENTINEL-2
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324844
作者单位	[Sanchez, Juan M.; Galve, Joan M.; Gonzalez-Piqueras, Jose; Calera, Alfonso] Univ Castilla La Mancha, Reg Dev Inst, Campus Univ S-N, Albacete 02071, Spain; [Lopez-Urrea, Ramon] Inst Tecn Agron Prov Albacete, Parque Empresarial Campollano,2 Avda 61, Albacete 02007, Spain; [Lopez-Urrea, Ramon] FUNDESCAM, Parque Empresarial Campollano,2 Avda 61, Albacete 02007, Spain; [Niclos, Raquel] Univ Valencia, Earth Phys & Thermodynam Dept, C Dr Moliner 50, Burjassot 46100, Spain
推荐引用方式 GB/T 7714	Sanchez, Juan M.,Galve, Joan M.,Gonzalez-Piqueras, Jose,et al. Monitoring 10-m LST from the Combination MODIS/Sentinel-2, Validation in a High Contrast Semi-Arid Agroecosystem[J],2020,12(9).
APA	Sanchez, Juan M.,Galve, Joan M.,Gonzalez-Piqueras, Jose,Lopez-Urrea, Ramon,Niclos, Raquel,&Calera, Alfonso.(2020).Monitoring 10-m LST from the Combination MODIS/Sentinel-2, Validation in a High Contrast Semi-Arid Agroecosystem.REMOTE SENSING,12(9).
MLA	Sanchez, Juan M.,et al."Monitoring 10-m LST from the Combination MODIS/Sentinel-2, Validation in a High Contrast Semi-Arid Agroecosystem".REMOTE SENSING 12.9(2020).