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024 7 _a10.1007/978-981-97-4178-6
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100 1 _aYu, Wenping.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981577
245 1 0 _aValidation and Reconstruction of Remote Sensing Land Surface Temperature Products
_h[electronic resource] /
_cby Wenping Yu, Yuechen Li, Xujun Han, Lei Fan, Wei Zhou, Mingguo Ma, Weiyu Shi.
250 _a1st ed. 2024.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2024.
300 _aVII, 136 p. 46 illus., 42 illus. in color.
_bonline resource.
336 _atext
_btxt
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337 _acomputer
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338 _aonline resource
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347 _atext file
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505 0 _aOverview -- Scale Mismatch Implications for the Validation of Remote Sensing LST Products -- Analysis on the Representation of the Station Observation Based on the Land Surface Spatial Heterogeneity -- Generalized T based Validation of Remote Sensing LST Products According to Land Surface Heterogeneity Analysis on Stations -- Validating Satellite derived LST over Heterogeneous Land Surfaces -- LST Reconstruction on the Remote sensed LST Products under clouds -- All weather land surface temperature estimation from the multiple source fusion.
520 _aThis book focuses on validation and reconstruction work on the land surface temperature (LST) products retrieved by thermal infrared remote sensing. The LST is a key parameter in the energy-water balance process and has been widely used in research on the global climate change, water cycle, vegetation growing, and drought detection. Remote sensing retrieving LST is the most important source for regional and even global application. However, there are several factors that limited their widespread use: (1) the thermal infrared remote sensing is easily influenced by clouds; therefore, there are lots of pixel with invalid LST; (2) LST products have not been sufficiently validated in global scale. This book arms to overcome above defects and guide the readers to estimate the LST of cloudy pixel and implement the general validation on the remote sensing LST. Furthermore, it helps to understand the scale mismatch between different observation and land surface heterogeneity. The book covers ground-based observation, validation and reconstruction theories, scale mismatch analysis, heterogeneity and representativeness evaluation for observations, and application cases. It is an essential reference to the quantitative retrieval of thermal infrared remote sensing technologies.
650 0 _aPhysical geography.
_966716
650 0 _aEnvironmental monitoring.
650 0 _aWater.
_965998
650 0 _aHydrology.
_965999
650 0 _aGeographic information systems.
_961967
650 0 _aBioclimatology.
_968090
650 1 4 _aPhysical Geography.
_966716
650 2 4 _aEnvironmental Monitoring.
650 2 4 _aWater.
_965998
650 2 4 _aGeographical Information System.
_966422
650 2 4 _aClimate Change Ecology.
_968092
700 1 _aLi, Yuechen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981578
700 1 _aHan, Xujun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981579
700 1 _aFan, Lei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981580
700 1 _aZhou, Wei.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981581
700 1 _aMa, Mingguo.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981582
700 1 _aShi, Weiyu.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981583
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789819741779
776 0 8 _iPrinted edition:
_z9789819741793
776 0 8 _iPrinted edition:
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856 4 0 _uhttps://doi.org/10.1007/978-981-97-4178-6
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