Soil moisture derivation using triangle method in the lighvan watershed, north western Iran

Soil moisture determination plays a major role in water and crop management. In this research, the accuracy of the Triangle Method (TM) was evaluated to predict surface soil moisture content using Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite images with 1km resolution. The invest...

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Autores principales:	Rahmati,M, Oskouei,M.M, Neyshabouri,M.R, Walker,J.P, Fakherifard,A, Ahmadi,A, Mousavi,S.B
Lenguaje:	English
Publicado:	Chilean Society of Soil Science / Sociedad Chilena de la Ciencia del Suelo 2015
Materias:	Soil moisture NDVI land surface temperature moisture monitoring
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162015000100014
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spelling	oai:scielo:S0718-951620150001000142015-06-08Soil moisture derivation using triangle method in the lighvan watershed, north western IranRahmati,MOskouei,M.MNeyshabouri,M.RWalker,J.PFakherifard,AAhmadi,AMousavi,S.B Soil moisture NDVI land surface temperature moisture monitoring Soil moisture determination plays a major role in water and crop management. In this research, the accuracy of the Triangle Method (TM) was evaluated to predict surface soil moisture content using Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite images with 1km resolution. The investigation was carried out within an area of 76 km² in Lighavn watershed in East Azerbaijan, North West of Iran. The analysis was based on ground measurements of soil moisture at 225 points (45 pixels) across the catchment on 2 different days. Ground measurements from the first day were used to train the models, while those from the second day were used for validation. A range of polynomial regressions from 1st to 4th orders were established between the ground measured soil moisture and MODIS Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). The best results were obtained for the 4th order polynomial of the TM with the efficiency error (ER) and adjusted determination coefficient (R²adj) criterions, respectively, equal to 11.0% and 0.63 for calibration and 15.9% and 0.60 for validation stage. Therefore, the TM was found to provide reliable estimates of soil moisture, without the need for prior information of the soil surface roughness or the vegetation type and water content.info:eu-repo/semantics/openAccessChilean Society of Soil Science / Sociedad Chilena de la Ciencia del SueloJournal of soil science and plant nutrition v.15 n.1 20152015-03-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162015000100014en10.4067/S0718-95162015005000014
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Soil moisture NDVI land surface temperature moisture monitoring
spellingShingle	Soil moisture NDVI land surface temperature moisture monitoring Rahmati,M Oskouei,M.M Neyshabouri,M.R Walker,J.P Fakherifard,A Ahmadi,A Mousavi,S.B Soil moisture derivation using triangle method in the lighvan watershed, north western Iran
description	Soil moisture determination plays a major role in water and crop management. In this research, the accuracy of the Triangle Method (TM) was evaluated to predict surface soil moisture content using Moderate Resolution Imaging Spectro-radiometer (MODIS) satellite images with 1km resolution. The investigation was carried out within an area of 76 km² in Lighavn watershed in East Azerbaijan, North West of Iran. The analysis was based on ground measurements of soil moisture at 225 points (45 pixels) across the catchment on 2 different days. Ground measurements from the first day were used to train the models, while those from the second day were used for validation. A range of polynomial regressions from 1st to 4th orders were established between the ground measured soil moisture and MODIS Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). The best results were obtained for the 4th order polynomial of the TM with the efficiency error (ER) and adjusted determination coefficient (R²adj) criterions, respectively, equal to 11.0% and 0.63 for calibration and 15.9% and 0.60 for validation stage. Therefore, the TM was found to provide reliable estimates of soil moisture, without the need for prior information of the soil surface roughness or the vegetation type and water content.
author	Rahmati,M Oskouei,M.M Neyshabouri,M.R Walker,J.P Fakherifard,A Ahmadi,A Mousavi,S.B
author_facet	Rahmati,M Oskouei,M.M Neyshabouri,M.R Walker,J.P Fakherifard,A Ahmadi,A Mousavi,S.B
author_sort	Rahmati,M
title	Soil moisture derivation using triangle method in the lighvan watershed, north western Iran
title_short	Soil moisture derivation using triangle method in the lighvan watershed, north western Iran
title_full	Soil moisture derivation using triangle method in the lighvan watershed, north western Iran
title_fullStr	Soil moisture derivation using triangle method in the lighvan watershed, north western Iran
title_full_unstemmed	Soil moisture derivation using triangle method in the lighvan watershed, north western Iran
title_sort	soil moisture derivation using triangle method in the lighvan watershed, north western iran
publisher	Chilean Society of Soil Science / Sociedad Chilena de la Ciencia del Suelo
publishDate	2015
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162015000100014
work_keys_str_mv	AT rahmatim soilmoisturederivationusingtrianglemethodinthelighvanwatershednorthwesterniran AT oskoueimm soilmoisturederivationusingtrianglemethodinthelighvanwatershednorthwesterniran AT neyshabourimr soilmoisturederivationusingtrianglemethodinthelighvanwatershednorthwesterniran AT walkerjp soilmoisturederivationusingtrianglemethodinthelighvanwatershednorthwesterniran AT fakherifarda soilmoisturederivationusingtrianglemethodinthelighvanwatershednorthwesterniran AT ahmadia soilmoisturederivationusingtrianglemethodinthelighvanwatershednorthwesterniran AT mousavisb soilmoisturederivationusingtrianglemethodinthelighvanwatershednorthwesterniran
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Soil moisture derivation using triangle method in the lighvan watershed, north western Iran

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