The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data

Lee, Yonggwan; Kim, Seong-Joon

doi:10.3390/rs8120983

Cited by 28 publications

(16 citation statements)

References 44 publications

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“…Several methods have been developed to estimate ET from remotesensing data including empirical and statistical methods with remotely sensed vegetation indices [16][17][18], physical models that calculate ET as the residual of SEB using remotely sensed thermal infrared (IR) data [19][20][21][22][23][24][25], and other physical models such as the Penman-Monteith equations [26], the revised Resistance-Surface energy balance and the PenmanMonteith (RS-PM) equations [27][28][29] and Priestley-Taylor equations [30][31][32]. On a global or continental scales, the spatial ET is provided by the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Satellite Application Facility (SAF) on Land Surface Analysis (LSA) and the National Aeronautics and Space Administration (NASA).…”

Section: Journal Of Sensorsmentioning

confidence: 99%

COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea

Park¹,

Jang²,

Kim³

et al. 2017

Journal of Sensors

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Evapotranspiration (ET) from the land surface is an important hydrometeorological factor in the exchange of energy between the atmosphere and land surface. The accurate quantification for management of water resources and understanding of climate change are crucial, requiring continuous temporal and spatial monitoring. The objective of this study is to apply and estimate daily actual ET using semiempirical method, B-method, which is based on surface energy balance over heterogeneous area, Korea. To estimate daily ET, we used geostationary meteorological satellite data (Communication, Ocean and Meteorological Satellite, COMS) and polarorbiting satellite data (Système Pour l'Observation de la Terre, SPOT). Estimated daily ET using only satellite data was relatively accurate and reflects land surface characteristics. It had high periodicity and spatial resolution over a wide area on clear-sky days. The daily ET was overestimated by about 1 mm/day at the two flux tower measurements sites, but the simulated seasonal variation and pattern were in good agreement with flux tower measurements. In the mixed forest, the root-mean-square error (RMSE) was 0.94 mm/day and the bias was 1.05 mm/day, while, in the rice paddy, RMSE was 1.12 mm/day and bias was 1.21 mm/day.

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Section: Journal Of Sensorsmentioning

confidence: 99%

COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea

Park¹,

Jang²,

Kim³

et al. 2017

Journal of Sensors

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“…However, there is still a need to refine the endmembers selection process, which will further improve the model accuracy since estimations are sensitive to changes in endmembers [55][56][57][58]. Regional applications of the SEBAL are usually based on local meteorological measurements [52,55,59,60], including wind speed ( ), relative humidity ( ), and shortwave incident radiation ( ). On the other hand, large-scale estimations can potentially benefit from the use of global, gridded meteorological variables (e.g., reanalysis methods) due to their global spatial coverage and long time-series [17,21,24,[61][62][63].…”

Section: Research Overviewmentioning

confidence: 99%

Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil

et al. 2020

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Evapotranspiration ( E T ) provides a strong connection between surface energy and hydrological cycles. Advancements in remote sensing techniques have increased our understanding of energy and terrestrial water balances as well as the interaction between surface and atmosphere over large areas. In this study, we computed surface energy fluxes using the Surface Energy Balance Algorithm for Land (SEBAL) algorithm and a simplified adaptation of the CIMEC (Calibration using Inverse Modeling at Extreme Conditions) process for automated endmember selection. Our main purpose was to assess and compare the accuracy of the automated calibration of the SEBAL algorithm using two different sources of meteorological input data (ground measurements from an eddy covariance flux tower and reanalysis data from Modern-Era Reanalysis for Research and Applications version 2 (MERRA-2)) to estimate the dry season partitioning of surface energy and water fluxes in a transitional area between tropical rainforest and savanna. The area is located in Brazil and is subject to deforestation and cropland expansion. The SEBAL estimates were validated using eddy covariance measurements (2004 to 2006) from the Large-Scale Biosphere-Atmosphere Experiment in the Amazon (LBA) at the Bananal Javaés (JAV) site. Results indicated a high accuracy for daily ET, using both ground measurements and MERRA-2 reanalysis, suggesting a low sensitivity to meteorological inputs. For daily ET estimates, we found a root mean square error (RMSE) of 0.35 mm day−1 for both observed and reanalysis meteorology using accurate quantiles for endmembers selection, yielding an error lower than 9% (RMSE compared to the average daily ET). Overall, the ET rates in forest areas were 4.2 mm day−1, while in grassland/pasture and agricultural areas we found average rates between 2.0 and 3.2 mm day−1, with significant changes in energy partitioning according to land cover. Thus, results are promising for the use of reanalysis data to estimate regional scale patterns of sensible heat (H) and latent heat (LE) fluxes, especially in areas subject to deforestation.

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“…The instantaneous value can be used to calculate the daily value because the evaporative fraction tends to be constant during daytime hours, although the H and λE fluxes vary considerably [19,24]. The difference between the instantaneous evaporative fraction at satellite overpass and the evaporative fraction derived from the 24-h integrated energy balance is marginal and may be neglected [19,25,26].…”

Section: Methodsmentioning

confidence: 99%

Using SEBAL to Investigate How Variations in Climate Impact on Crop Evapotranspiration

et al. 2017

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Water allocation to crops, and especially to the most water intensive ones, has always been of great importance in agricultural processes. Deficit or excessive irrigation could create either crop health-related problems or water over-consumption, respectively. The latter could lead to groundwater depletion and deterioration of its quality through deep percolation of agrichemical residuals. In this context, and under the current conditions where Cyprus is facing effects of possible climate changes, the purpose of this study seeks to estimate the needed crop water requirements of the past (1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004) and the corresponding ones of the present (2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) in order to test if there were any significant changes regarding the crop water requirements of the most water-intensive trees in Cyprus. The Mediterranean region has been identified as the region that will suffer the most from variations of climate. Thus the paper refers to effects of these variations on crop evapotranspiration (ETc) using remotely-sensed data from Landsat TM/ETM+/OLI employing a sound methodology used worldwide, the Surface Energy Balance Algorithm for Land (SEBAL). Though the general feeling is that of changes on climate will consequently affect ETc, our results indicate that there is no significant effect of climate variation on crop evapotranspiration, despite the fact that some climatic factors have changed. Applying Student's t-test, the mean values for the most water-intensive trees in Cyprus of the 1994-2004 decade have shown no statistical difference from the mean values of 2005-2015 for all the cases, concluding that the climate change taking place in the past decades in Cyprus have either not affected the crop evapotranspiration or the crops have managed to adapt to the new environmental conditions through time.

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The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data

Cited by 28 publications

References 44 publications

COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea

COMS-Based Retrieval of Daily Actual Evapotranspiration over Korea

Assessment of an Automated Calibration of the SEBAL Algorithm to Estimate Dry-Season Surface-Energy Partitioning in a Forest–Savanna Transition in Brazil

Using SEBAL to Investigate How Variations in Climate Impact on Crop Evapotranspiration

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