Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data Kalma, Jetse Daniel en_US McVicar, Tim en_US McCabe, Matthew Francis en_US 2021-11-25T13:35:51Z 2021-11-25T13:35:51Z 2008 en_US
dc.description.abstract This paper reviews methods for estimating evaporation from landscapes, regions and larger geographic extents, with remotely sensed surface temperatures, and highlights uncertainties and limitations associated with those estimation methods. Particular attention is given to the validation of such approaches against ground based flux measurements. An assessment of some 30 published validations shows an average root mean squared error value of about 50 W m-2 and relative errors of 15-30%. The comparison also shows that more complex physical and analytical methods are not necessarily more accurate than empirical and statistical approaches. While some of the methods were developed for specific land covers (e.g. irrigation areas only) we also review methods developed for other disciplines, such as hydrology and meteorology, where continuous estimates in space and in time are needed, thereby focusing on physical and analytical methods as empirical methods are usually limited by in situ training data. This review also provides a discussion of temporal and spatial scaling issues associated with the use of thermal remote sensing for estimating evaporation. Improved temporal scaling procedures are required to extrapolate instantaneous estimates to daily and longer time periods and gap-filling procedures are needed when temporal scaling is affected by intermittent satellite coverage. It is also noted that analysis of multi-resolution data from different satellite/sensor systems (i.e. data fusion) will assist in the development of spatial scaling and aggregation approaches, and that several biological processes need to be better characterized in many current land surface models. en_US
dc.identifier.issn 0169-3298 en_US
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri en_US
dc.source Legacy MARC en_US
dc.subject.other Evapotranspiration en_US
dc.subject.other Remote Sensing en_US
dc.title Estimating land surface evaporation: A review of methods using remotely sensed surface temperature data en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.description.publisherStatement The original publication is available at en_US
unsw.identifier.doiPublisher en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofissue 4-5 en_US
unsw.relation.ispartofjournal Surveys in Geophysics en_US
unsw.relation.ispartofpagefrompageto 421-469 en_US
unsw.relation.ispartofvolume 29 en_US
unsw.relation.originalPublicationAffiliation Kalma, Jetse Daniel en_US
unsw.relation.originalPublicationAffiliation McVicar, Tim en_US
unsw.relation.originalPublicationAffiliation McCabe, Matthew Francis, Faculty of Engineering, UNSW en_US
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