Arid
DOI10.3390/rs12050815
Validation of ASTER Emissivity Retrieval Using the Mako Airborne TIR Imaging Spectrometer at the Algodones Dune Field in Southern California, USA
Mushkin, Amit1,2; Gillespie, Alan R.1; Abbott, Elsa A.3; Batbaatar, Jigjidsurengiin1; Hulley, Glynn3; Tan, Howard3; Tratt, David M.4; Buckland, Kerry N.4
通讯作者Mushkin, Amit
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2020
卷号12期号:5
英文摘要Validation of emissivity (epsilon) retrievals from spaceborne thermal infrared (TIR) sensors typically requires spatial extrapolations over several orders of magnitude for a comparison between centimeter-scale laboratory epsilon measurements and the common decameter and lower resolution of spaceborne TIR data. In the case of NASA's Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) temperature and epsilon separation algorithm (TES), this extrapolation becomes especially challenging because TES was originally designed for the geologic surface of Earth, which is typically heterogeneous even at centimeter and decameter scales. Here, we used the airborne TIR hyperspectral Mako sensor with its 2.2 m/pixel resolution, to bridge this scaling issue and robustly link between ASTER TES 90 m/pixel emissivity retrievals and laboratory epsilon measurements from the Algodones dune field in southern California, USA. The experimental setup included: (i) Laboratory XRD, grain size, and TIR spectral measurements; (ii) radiosonde launches at the time of the two Mako overpasses for atmospheric corrections; (iii) ground-based thermal measurements for calibration, and (iv) analyses of ASTER day and night epsilon retrievals from 21 different acquisitions. We show that while cavity radiation leads to a 2% to 4% decrease in the effective emissivity contrast of fully resolved scene elements (e.g., slipface slopes and interdune flats), spectral variability of the site when imaged at 90 m/pixel is below 1%, because at this scale the dune field becomes an effectively homogeneous mixture of the different dune elements. We also found that adsorption of atmospheric moisture to grain surfaces during the predawn hours increased the effective epsilon of the dune surface by up to 0.04. The accuracy of ASTER's daytime emissivity retrievals using each of the three available atmospheric correction protocols was better than 0.01 and within the target performance of ASTER's standard emissivity product. Nighttime emissivity retrievals had lower precision (<0.03) likely due to residual atmospheric effects. The water vapor scaling (WVS) atmospheric correction protocol was required to obtain accurate (<0.01) nighttime ASTER emissivity retrievals.
英文关键词ASTER Mako TES algorithm temperature emissivity validation Algodones
类型Article
语种英语
国家USA ; Israel
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000531559300070
WOS关键词SPACEBORNE THERMAL EMISSION ; REFLECTION RADIOMETER ASTER ; ATMOSPHERIC CORRECTION ; STANDARD PRODUCTS ; TEMPERATURE ; SEPARATION ; DESERT ; MODEL ; MODIS
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/2XILL650/318889
作者单位1.Univ Washington, Dept Earth & Space Sci, Box 351310, Seattle, WA 98195 USA;
2.Geol Survey Israel, 32 Yishayahu Leibovitz St, Jerusalem 9692100, Israel;
3.Jet Prop Lab, Pasadena, CA 91109 USA;
4.Aerosp Corp, El Segundo, CA 90245 USA
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Mushkin, Amit,Gillespie, Alan R.,Abbott, Elsa A.,et al. Validation of ASTER Emissivity Retrieval Using the Mako Airborne TIR Imaging Spectrometer at the Algodones Dune Field in Southern California, USA[J],2020,12(5).
APA Mushkin, Amit.,Gillespie, Alan R..,Abbott, Elsa A..,Batbaatar, Jigjidsurengiin.,Hulley, Glynn.,...&Buckland, Kerry N..(2020).Validation of ASTER Emissivity Retrieval Using the Mako Airborne TIR Imaging Spectrometer at the Algodones Dune Field in Southern California, USA.REMOTE SENSING,12(5).
MLA Mushkin, Amit,et al."Validation of ASTER Emissivity Retrieval Using the Mako Airborne TIR Imaging Spectrometer at the Algodones Dune Field in Southern California, USA".REMOTE SENSING 12.5(2020).
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