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Alues) and higher values for the unSC-19220 medchemexpress corrected modelled values (bigger than
Alues) and greater values for the uncorrected modelled values (bigger than 0.five).Figure 7. Average day-to-day evapotranspiration for the principle experimental location computed in the eddy Figure 7. Average every day evapotranspiration for the key experimental location computed in the covariance measurements (Flux Tower), the the SEBAL, TSEB FEST-EWB models (both pixel-wise eddy covariance measurements (Flux Tower), SEBAL, TSEB and and FEST-EWB models (both and corrected by station footprint). pixel-wise and corrected by station footprint).three.two. Upscaled Outputs (UO) 3.two. Upscaled Outputs (UO) The aggregated maps employed inside the scale evaluation are shown in Figure eight. In the The aggregated maps employed within the scale analysis are shown in Figure 8. Within the example 11th June date (11:00 local time): airborne-sensed Land Surface Temperature (LST), example 11th June date (11:00 regional time): airborne-sensed Land Surface Temperature Latent Heat (L), Sensible Heat (H), Soil Moisture (SM) and Representative Equilibrium (LST), Latent Heat (L), Sensible Heat (H), Soil Moisture (SM) and Representative EquilibTemperature (RET) are shown. The results of the Upscaled Outputs method are displayed rium Temperature (RET) are shown. appears that on the surface heterogeneity functions (e.g., around the left-hand side of the image. It The outcomes some Upscaled Outputs method are displayed paths) are clearly preserved in the initial step (ten.2that and still distinguishable within the bare-soil around the left-hand side of your image. It appears m) some surface heterogeneity characteristics (e.g., m), wherepaths) areratio is 18:1. From the the first step (ten.two m) and nevertheless dissecond (30.6 bare-soil the scale clearly preserved in third step (244.8 m) all heterogeneity tinguishable within the seconddegradation process thatratio is 18:1. From the third step (244.eight is lost. The info (30.6 m), where the scale follows the aggregation can also be visible m) all heterogeneity is lost. The facts degradation process recommend slightly distinctive when comparing the LST and RET evolution. While the colors that follows the aggregation could be the obliteration of your field-characterizing attributes is absolutely similar.the colors values, also visible when comparing the LST and RET evolution. Alvelestat tosylate Despite the fact that recommend slightly distinct values, the obliteration from the field-characterizing options is unquestionably equivalent.Remote Sens. 2021, 13,options (e.g., bare-soil paths) are clearly preserved in the first step (ten.two m) and nevertheless distinguishable inside the second (30.six m), exactly where the scale ratio is 18:1. From the third step (244.8 m) all heterogeneity is lost. The data degradation process that follows the aggregation is also visible when comparing the LST and RET evolution. Even though the colors 14 of 26 recommend slightly unique values, the obliteration with the field-characterizing characteristics is definitely comparable.mote Sens. 2021, 13, x FOR PEER REVIEW15 ofData Figure 8. Overview of Land Surface Temperature (LST) and 4 FEST-EWB outputs across the Variance across of Land Surface Temperature Figure eight. Overview Scales FEST-EWB outputs across theselected scales chosen scales and the two aggregation approaches: Latent Heat Sensible Heat Heat (H), In Figure 9,along with the two aggregationthe frequency distribution for precisely the same Soil Moisthe evolution of approaches: Latent Heat (L), (L), Sensible (H), Soil Moisturedisplay information ture (SM) Representative Equilibrium Temperature (RET). (RET). (SM) and and Representative Equilibrium Tem.

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Author: Gardos- Channel