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010   $a981-9741-78-5
024 7 $a10.1007/978-981-97-4178-6
035   $a(MiAaPQ)EBC31575155
035   $a(Au-PeEL)EBL31575155
035   $a(CKB)33566381000041
035   $a(DE-He213)978-981-97-4178-6
035   $a(EXLCZ)9933566381000041
100   $a20240730d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aValidation and Reconstruction of Remote Sensing Land Surface Temperature Products /$fby Wenping Yu, Yuechen Li, Xujun Han, Lei Fan, Wei Zhou, Mingguo Ma, Weiyu Shi
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (139 pages)
311 08$a981-9741-77-7 
320   $aIncludes bibliographical references.
327   $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.
330   $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.
606   $aPhysical geography
606   $aEnvironmental monitoring
606   $aWater
606   $aHydrology
606   $aGeographic information systems
606   $aBioclimatology
606   $aPhysical Geography
606   $aEnvironmental Monitoring
606   $aWater
606   $aGeographical Information System
606   $aClimate Change Ecology
615  0$aPhysical geography.
615  0$aEnvironmental monitoring.
615  0$aWater.
615  0$aHydrology.
615  0$aGeographic information systems.
615  0$aBioclimatology.
615 14$aPhysical Geography.
615 24$aEnvironmental Monitoring.
615 24$aWater.
615 24$aGeographical Information System.
615 24$aClimate Change Ecology.
676   $a551.11
700   $aYu$b Wenping$01758562
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910878061903321
996   $aValidation and Reconstruction of Remote Sensing Land Surface Temperature Products$94233085
997   $aUNINA