Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland

Evapotranspiration (ET) from the wetland of the Yellow River Delta (YRD) is one of the important components in the water cycle, which represents the water consumption by the plants and evaporation from the water and the non-vegetated surfaces. Reliable estimates of the total evapotranspiration from...

Full description

Bibliographic Details
Main Authors: L. Jia, G. Xi, S. Liu, C. Huang, Y. Yan, G. Liu
Format: Article
Language:English
Published: Copernicus Publications 2009-10-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/13/1775/2009/hess-13-1775-2009.pdf
id doaj-ad308a8bf1bf432b997beb9df9659eb8
record_format Article
spelling doaj-ad308a8bf1bf432b997beb9df9659eb82020-11-25T01:06:45ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382009-10-01131017751787Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetlandL. JiaG. XiS. LiuC. HuangY. YanG. LiuEvapotranspiration (ET) from the wetland of the Yellow River Delta (YRD) is one of the important components in the water cycle, which represents the water consumption by the plants and evaporation from the water and the non-vegetated surfaces. Reliable estimates of the total evapotranspiration from the wetland is useful information both for understanding the hydrological process and for water management to protect this natural environment. Due to the heterogeneity of the vegetation types and canopy density and of soil water content over the wetland (specifically over the natural reserve areas), it is difficult to estimate the regional evapotranspiration extrapolating measurements or calculations usually done locally for a specific land cover type. Remote sensing can provide observations of land surface conditions with high spatial and temporal resolution and coverage. In this study, a model based on the Energy Balance method was used to calculate daily evapotranspiration (ET) using instantaneous observations of land surface reflectance and temperature from MODIS when the data were available on clouds-free days. A time series analysis algorithm was then applied to generate a time series of daily ET over a year period by filling the gaps in the observation series due to clouds. A detailed vegetation classification map was used to help identifying areas of various wetland vegetation types in the YRD wetland. Such information was also used to improve the parameterizations in the energy balance model to improve the accuracy of ET estimates. <br><br> This study showed that spatial variation of ET was significant over the same vegetation class at a given time and over different vegetation types in different seasons in the YRD wetland. http://www.hydrol-earth-syst-sci.net/13/1775/2009/hess-13-1775-2009.pdf
collection DOAJ
language English
format Article
sources DOAJ
author L. Jia
G. Xi
S. Liu
C. Huang
Y. Yan
G. Liu
spellingShingle L. Jia
G. Xi
S. Liu
C. Huang
Y. Yan
G. Liu
Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland
Hydrology and Earth System Sciences
author_facet L. Jia
G. Xi
S. Liu
C. Huang
Y. Yan
G. Liu
author_sort L. Jia
title Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland
title_short Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland
title_full Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland
title_fullStr Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland
title_full_unstemmed Regional estimation of daily to annual regional evapotranspiration with MODIS data in the Yellow River Delta wetland
title_sort regional estimation of daily to annual regional evapotranspiration with modis data in the yellow river delta wetland
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2009-10-01
description Evapotranspiration (ET) from the wetland of the Yellow River Delta (YRD) is one of the important components in the water cycle, which represents the water consumption by the plants and evaporation from the water and the non-vegetated surfaces. Reliable estimates of the total evapotranspiration from the wetland is useful information both for understanding the hydrological process and for water management to protect this natural environment. Due to the heterogeneity of the vegetation types and canopy density and of soil water content over the wetland (specifically over the natural reserve areas), it is difficult to estimate the regional evapotranspiration extrapolating measurements or calculations usually done locally for a specific land cover type. Remote sensing can provide observations of land surface conditions with high spatial and temporal resolution and coverage. In this study, a model based on the Energy Balance method was used to calculate daily evapotranspiration (ET) using instantaneous observations of land surface reflectance and temperature from MODIS when the data were available on clouds-free days. A time series analysis algorithm was then applied to generate a time series of daily ET over a year period by filling the gaps in the observation series due to clouds. A detailed vegetation classification map was used to help identifying areas of various wetland vegetation types in the YRD wetland. Such information was also used to improve the parameterizations in the energy balance model to improve the accuracy of ET estimates. <br><br> This study showed that spatial variation of ET was significant over the same vegetation class at a given time and over different vegetation types in different seasons in the YRD wetland.
url http://www.hydrol-earth-syst-sci.net/13/1775/2009/hess-13-1775-2009.pdf
work_keys_str_mv AT ljia regionalestimationofdailytoannualregionalevapotranspirationwithmodisdataintheyellowriverdeltawetland
AT gxi regionalestimationofdailytoannualregionalevapotranspirationwithmodisdataintheyellowriverdeltawetland
AT sliu regionalestimationofdailytoannualregionalevapotranspirationwithmodisdataintheyellowriverdeltawetland
AT chuang regionalestimationofdailytoannualregionalevapotranspirationwithmodisdataintheyellowriverdeltawetland
AT yyan regionalestimationofdailytoannualregionalevapotranspirationwithmodisdataintheyellowriverdeltawetland
AT gliu regionalestimationofdailytoannualregionalevapotranspirationwithmodisdataintheyellowriverdeltawetland
_version_ 1725188487468023808