Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan)

One of the key components of energy and hydrological processes is soil moisture, which is measured indirectly, because of exiting some problems in measuring directly. Some existing methods such as thermal inertia, vegetation indices, temperature and water indices (e.g. NDWI) has certain limitations...

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Main Authors: Raheleh Sasadeghzade Poode, Mohammad Zare, Mohammad Hossein Mokhtari, Mohammad Akhavan Ghalibaf
Format: Article
Language:fas
Published: Iranian Scientific Association of Desert Management and Control (ISADMC) 2015-09-01
Series:مدیریت بیابان
Subjects:
Online Access:http://www.jdmal.ir/article_21674_6315482be9460c8684763e43126d0200.pdf
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author Raheleh Sasadeghzade Poode
Mohammad Zare
Mohammad Hossein Mokhtari
Mohammad Akhavan Ghalibaf
author_facet Raheleh Sasadeghzade Poode
Mohammad Zare
Mohammad Hossein Mokhtari
Mohammad Akhavan Ghalibaf
author_sort Raheleh Sasadeghzade Poode
collection DOAJ
description One of the key components of energy and hydrological processes is soil moisture, which is measured indirectly, because of exiting some problems in measuring directly. Some existing methods such as thermal inertia, vegetation indices, temperature and water indices (e.g. NDWI) has certain limitations such as difficulties in capturing images of day and night times, and differences in method of calculating of thermal inertia for different hours in a day. Therefore, finding a new method for calculating of soil moisture based soil temperature or water and soil spectral changes is very necessary. Although soil moisture is not calculated directly in the Surface Energy Balance Algorithm for Land (SEBAL), since all parameters that have effect on soil moisture changes, consider for calculating evapotranspiration in SEBAL, this model can be used to calculate soil moisture. Jarghoye-Sofla, as the study area, is located adjacent to the Gavkhoni playa, Isfahan province. The study area, has faced with declining in soil moisture, as a result of climatic fluctuations, and drying of the wetlands in recent years. The purpose of this research is assessing of the remote sensed based surface energy balance model, and evaluation of biophysical parameters derived from satellite imagery to estimate soil moisture. Data used in this research, consisted of MODIS satellite images and measurements of 33 soil samples taken at depth of 0-30 cm. By measuring point soil moisture, and calculating volumetric soil moisture, the rate of evapotranspiration was estimated using the SEBAL model. Then, correlation between the parameters used in the SEBAL and ground measurements of soil moisture was evaluated. Results show high correlation between parameters of the SEBAL and soil moisture. The highest correlation was determined between the SEBAL algorithm daily evapotranspiration and soil moisture for days of 16 and 17 November, 2014 with values of 0.51 and 0.68, respectively.
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spelling doaj.art-68410324847543bfb519dd02dc0adf172023-03-02T06:42:51ZfasIranian Scientific Association of Desert Management and Control (ISADMC)مدیریت بیابان2476-39852476-37212015-09-01369010710.22034/jdmal.2015.2167421674Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan)Raheleh Sasadeghzade Poode0Mohammad Zare1Mohammad Hossein Mokhtari2Mohammad Akhavan Ghalibaf3MSc of Natural Resources Engineering- Arid Lands Management, Faculty of Natural Resources and Eremology, Yazd University, IranAssistant Professor, Faculty of Natural Resources and Eremology, Yazd University, IranAssistant Professor, Faculty of Natural Resources and Eremology, Yazd University, IranAssistant Professor, Faculty of Natural Resources and Eremology, Yazd University, IranOne of the key components of energy and hydrological processes is soil moisture, which is measured indirectly, because of exiting some problems in measuring directly. Some existing methods such as thermal inertia, vegetation indices, temperature and water indices (e.g. NDWI) has certain limitations such as difficulties in capturing images of day and night times, and differences in method of calculating of thermal inertia for different hours in a day. Therefore, finding a new method for calculating of soil moisture based soil temperature or water and soil spectral changes is very necessary. Although soil moisture is not calculated directly in the Surface Energy Balance Algorithm for Land (SEBAL), since all parameters that have effect on soil moisture changes, consider for calculating evapotranspiration in SEBAL, this model can be used to calculate soil moisture. Jarghoye-Sofla, as the study area, is located adjacent to the Gavkhoni playa, Isfahan province. The study area, has faced with declining in soil moisture, as a result of climatic fluctuations, and drying of the wetlands in recent years. The purpose of this research is assessing of the remote sensed based surface energy balance model, and evaluation of biophysical parameters derived from satellite imagery to estimate soil moisture. Data used in this research, consisted of MODIS satellite images and measurements of 33 soil samples taken at depth of 0-30 cm. By measuring point soil moisture, and calculating volumetric soil moisture, the rate of evapotranspiration was estimated using the SEBAL model. Then, correlation between the parameters used in the SEBAL and ground measurements of soil moisture was evaluated. Results show high correlation between parameters of the SEBAL and soil moisture. The highest correlation was determined between the SEBAL algorithm daily evapotranspiration and soil moisture for days of 16 and 17 November, 2014 with values of 0.51 and 0.68, respectively.http://www.jdmal.ir/article_21674_6315482be9460c8684763e43126d0200.pdfsoil moisturemodissebalplayaarid lands
spellingShingle Raheleh Sasadeghzade Poode
Mohammad Zare
Mohammad Hossein Mokhtari
Mohammad Akhavan Ghalibaf
Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan)
مدیریت بیابان
soil moisture
modis
sebal
playa
arid lands
title Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan)
title_full Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan)
title_fullStr Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan)
title_full_unstemmed Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan)
title_short Assessment of Surface Energy Balance Algorithm for Land (SEBAL) model and biophysical parameters derived from remotely- sensed data in estimating of soil moisture in arid lands (Case study: Jarghoye, Isfahan)
title_sort assessment of surface energy balance algorithm for land sebal model and biophysical parameters derived from remotely sensed data in estimating of soil moisture in arid lands case study jarghoye isfahan
topic soil moisture
modis
sebal
playa
arid lands
url http://www.jdmal.ir/article_21674_6315482be9460c8684763e43126d0200.pdf
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