000865974 001__ 865974
000865974 005__ 20220930130220.0
000865974 0247_ $$2doi$$a10.3390/rs12071075
000865974 0247_ $$2Handle$$a2128/24649
000865974 0247_ $$2altmetric$$aaltmetric:78592983
000865974 0247_ $$2WOS$$aWOS:000537709600025
000865974 037__ $$aFZJ-2019-05236
000865974 041__ $$aEnglish
000865974 082__ $$a620
000865974 1001_ $$0P:(DE-Juel1)171804$$aHeinemann, Sascha$$b0$$eCorresponding author
000865974 245__ $$aLand Surface Temperature Retrieval for Agricultural Areas Using a Novel UAV Platform Equipped with a Thermal Infrared and Multispectral Sensor
000865974 260__ $$aBasel$$bMDPI$$c2020
000865974 3367_ $$2DRIVER$$aarticle
000865974 3367_ $$2DataCite$$aOutput Types/Journal article
000865974 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1585925028_29482
000865974 3367_ $$2BibTeX$$aARTICLE
000865974 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000865974 3367_ $$00$$2EndNote$$aJournal Article
000865974 520__ $$aLand surface temperature (LST) is a fundamental parameter within the system of the Earth’s surface and atmosphere, which can be used to describe the inherent physical processes of energy and water exchange. The need for LST has been increasingly recognised in agriculture, as it affects the growth phases of crops and crop yields. However, challenges in overcoming the large discrepancies between the retrieved LST and ground truth data still exist. Precise LST measurement depends mainly on accurately deriving the surface emissivity, which is very dynamic due to changing states of land cover and plant development. In this study, we present an LST retrieval algorithm for the combined use of multispectral optical and thermal UAV images, which has been optimised for operational applications in agriculture to map the heterogeneous and diverse agricultural crop systems of a research campus in Germany (April 2018). We constrain the emissivity using certain NDVI thresholds to distinguish different land surface types. The algorithm includes atmospheric corrections and environmental thermal emissions to minimise the uncertainties. In the analysis, we emphasise that the omission of crucial meteorological parameters and inaccurately determined emissivities can lead to a considerably underestimated LST; however, if the emissivity is underestimated, the LST can be overestimated. The retrieved LST is validated by reference temperatures from nearby ponds and weather stations. The validation of the thermal measurements indicates a mean absolute error of about 0.5 K. The novelty of the dual sensor system is that it simultaneously captures highly spatially resolved optical and thermal images, in order to construct the precise LST ortho-mosaics required to monitor plant diseases and drought stress and validate airborne and satellite data.
000865974 536__ $$0G:(DE-HGF)POF3-582$$a582 - Plant Science (POF3-582)$$cPOF3-582$$fPOF III$$x0
000865974 588__ $$aDataset connected to CrossRef
000865974 7001_ $$0P:(DE-Juel1)172711$$aSiegmann, Bastian$$b1
000865974 7001_ $$00000-0002-3371-7206$$aThonfeld, Frank$$b2
000865974 7001_ $$00000-0001-5127-8983$$aMuro, Javier$$b3
000865974 7001_ $$0P:(DE-Juel1)169447$$aJedmowski, Christoph$$b4
000865974 7001_ $$00000-0002-3709-1378$$aKemna, Andreas$$b5
000865974 7001_ $$00000-0001-9451-6769$$aKraska, Thorsten$$b6
000865974 7001_ $$0P:(DE-Juel1)161185$$aMuller, Onno$$b7$$ufzj
000865974 7001_ $$00000-0003-0410-2736$$aSchultz, Johannes$$b8
000865974 7001_ $$0P:(DE-HGF)0$$aUdelhoven, Thomas$$b9
000865974 7001_ $$0P:(DE-Juel1)172705$$aWilke, Norman$$b10
000865974 7001_ $$0P:(DE-Juel1)129388$$aRascher, Uwe$$b11
000865974 773__ $$0PERI:(DE-600)2513863-7$$a10.3390/rs12071075$$gVol. 12, no. 7, p. 1075 -$$n7$$p1075 -$$tRemote sensing$$v12$$x2072-4292$$y2020
000865974 8564_ $$uhttps://juser.fz-juelich.de/record/865974/files/English_Editing_Invoice_MDPI_english-13441.pdf
000865974 8564_ $$uhttps://juser.fz-juelich.de/record/865974/files/Invoice_remotesensing-747055.pdf
000865974 8564_ $$uhttps://juser.fz-juelich.de/record/865974/files/English_Editing_Invoice_MDPI_english-13441.pdf?subformat=pdfa$$xpdfa
000865974 8564_ $$uhttps://juser.fz-juelich.de/record/865974/files/Invoice_remotesensing-747055.pdf?subformat=pdfa$$xpdfa
000865974 8564_ $$uhttps://juser.fz-juelich.de/record/865974/files/remotesensing-12-01075-v2.pdf$$yOpenAccess
000865974 8564_ $$uhttps://juser.fz-juelich.de/record/865974/files/remotesensing-12-01075-v2.pdf?subformat=pdfa$$xpdfa$$yOpenAccess
000865974 8767_ $$8english-13441$$92019-10-23$$d2019-10-25$$eOther$$jZahlung erfolgt$$zenglish editing
000865974 8767_ $$8remotesensing-747055$$92020-03-24$$d2020-03-25$$eAPC$$jZahlung erfolgt$$premotesensing-747055
000865974 909CO $$ooai:juser.fz-juelich.de:865974$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire$$pdnbdelivery
000865974 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171804$$aForschungszentrum Jülich$$b0$$kFZJ
000865974 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172711$$aForschungszentrum Jülich$$b1$$kFZJ
000865974 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169447$$aForschungszentrum Jülich$$b4$$kFZJ
000865974 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)161185$$aForschungszentrum Jülich$$b7$$kFZJ
000865974 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)172705$$aForschungszentrum Jülich$$b10$$kFZJ
000865974 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129388$$aForschungszentrum Jülich$$b11$$kFZJ
000865974 9131_ $$0G:(DE-HGF)POF3-582$$1G:(DE-HGF)POF3-580$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vPlant Science$$x0
000865974 9141_ $$y2020
000865974 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000865974 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000865974 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search
000865974 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bREMOTE SENS-BASEL : 2017
000865974 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal
000865974 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000865974 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000865974 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000865974 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5
000865974 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000865974 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC
000865974 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000865974 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000865974 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List
000865974 9201_ $$0I:(DE-Juel1)IBG-2-20101118$$kIBG-2$$lPflanzenwissenschaften$$x0
000865974 980__ $$ajournal
000865974 980__ $$aVDB
000865974 980__ $$aUNRESTRICTED
000865974 980__ $$aI:(DE-Juel1)IBG-2-20101118
000865974 980__ $$aAPC
000865974 9801_ $$aAPC
000865974 9801_ $$aFullTexts