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Improved spatial resolution in soil moisture retrieval at arid mining area using apparent thermal inertia
A surface soil moisture model with improved spatial resolution was developed using remotely sensed apparent thermal inertia (ATI). The model integrates the surface temperature derived from TM/ETM+ image and the mean surface temperature from MODIS images to improve the spatial resolution of soil temp...
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Published in: | Transactions of Nonferrous Metals Society of China 2014-06, Vol.24 (6), p.1866-1873 |
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container_title | Transactions of Nonferrous Metals Society of China |
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creator | LEI, Shao-gang BIAN, Zheng-fu DANIELS, John L. LIU, Dong-lie |
description | A surface soil moisture model with improved spatial resolution was developed using remotely sensed apparent thermal inertia (ATI). The model integrates the surface temperature derived from TM/ETM+ image and the mean surface temperature from MODIS images to improve the spatial resolution of soil temperature difference based on the heat conduction equation, which is necessary to calculate the ATI. Consequently, the spatial resolution of ATI and SMC can be enhanced from 1 km to 120 m (TM) or 60 m (ETM+). Moreover, the enhanced ATI has a much stronger correlation coefficient (R2) with SMC (0.789) than the surface reflectance (0.108) or the ATI derived only from MODIS images (0.264). Based on the regression statistics of the field SMC measurement and enhanced ATI, a linear regression model with an RMS error of 1.90% was found. |
doi_str_mv | 10.1016/S1003-6326(14)63265-9 |
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The model integrates the surface temperature derived from TM/ETM+ image and the mean surface temperature from MODIS images to improve the spatial resolution of soil temperature difference based on the heat conduction equation, which is necessary to calculate the ATI. Consequently, the spatial resolution of ATI and SMC can be enhanced from 1 km to 120 m (TM) or 60 m (ETM+). Moreover, the enhanced ATI has a much stronger correlation coefficient (R2) with SMC (0.789) than the surface reflectance (0.108) or the ATI derived only from MODIS images (0.264). Based on the regression statistics of the field SMC measurement and enhanced ATI, a linear regression model with an RMS error of 1.90% was found.</description><identifier>ISSN: 1003-6326</identifier><identifier>DOI: 10.1016/S1003-6326(14)63265-9</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Inertia ; Mathematical models ; MODIS ; Regression ; remote sensing ; Soil moisture ; soil temperature difference ; soil water content ; Spatial resolution ; Surface temperature ; thermal inertia</subject><ispartof>Transactions of Nonferrous Metals Society of China, 2014-06, Vol.24 (6), p.1866-1873</ispartof><rights>2014 The Nonferrous Metals Society of China</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c342t-c17d5cd6819b7634aa2fb107aa2ea229ea42004df3845381ecd3bd1caa953eb3</citedby><cites>FETCH-LOGICAL-c342t-c17d5cd6819b7634aa2fb107aa2ea229ea42004df3845381ecd3bd1caa953eb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>LEI, Shao-gang</creatorcontrib><creatorcontrib>BIAN, Zheng-fu</creatorcontrib><creatorcontrib>DANIELS, John L.</creatorcontrib><creatorcontrib>LIU, Dong-lie</creatorcontrib><title>Improved spatial resolution in soil moisture retrieval at arid mining area using apparent thermal inertia</title><title>Transactions of Nonferrous Metals Society of China</title><description>A surface soil moisture model with improved spatial resolution was developed using remotely sensed apparent thermal inertia (ATI). The model integrates the surface temperature derived from TM/ETM+ image and the mean surface temperature from MODIS images to improve the spatial resolution of soil temperature difference based on the heat conduction equation, which is necessary to calculate the ATI. Consequently, the spatial resolution of ATI and SMC can be enhanced from 1 km to 120 m (TM) or 60 m (ETM+). Moreover, the enhanced ATI has a much stronger correlation coefficient (R2) with SMC (0.789) than the surface reflectance (0.108) or the ATI derived only from MODIS images (0.264). Based on the regression statistics of the field SMC measurement and enhanced ATI, a linear regression model with an RMS error of 1.90% was found.</description><subject>Inertia</subject><subject>Mathematical models</subject><subject>MODIS</subject><subject>Regression</subject><subject>remote sensing</subject><subject>Soil moisture</subject><subject>soil temperature difference</subject><subject>soil water content</subject><subject>Spatial resolution</subject><subject>Surface temperature</subject><subject>thermal inertia</subject><issn>1003-6326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFUMtOwzAQ9AEkyuMTkHwsh0AcO05yQqjiUakSB3q3HHsDi5I42E4l_h63RVw5zezu7Gh3CLlm-S3Lmbx7Y3nOM8kLuWTiZo9l1pyQxV_7jJyH8JnnQkjJFgTXw-TdDiwNk46oe-ohuH6O6EaKIw0Oezo4DHH2kGbRI-ySSkeqPVo64Ijje-Kg6RwOdJpSNUYaP8APSYoj-OR8SU473Qe4-sULsn163K5ess3r83r1sMkMF0XMDKtsaaysWdNWkguti65leZUQdFE0oEWRrrcdr0XJawbG8tYyo3VTcmj5BVkebdNbXzOEqAYMBvpej-DmoFhZNrKuq7pI0vIoNd6F4KFTk8dB-2_FcrVPUx3SVPvYFBMHLFWT9u6Pe5De2CF4FQzCaMCiBxOVdfiPww9vaoDQ</recordid><startdate>20140601</startdate><enddate>20140601</enddate><creator>LEI, Shao-gang</creator><creator>BIAN, Zheng-fu</creator><creator>DANIELS, John L.</creator><creator>LIU, Dong-lie</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope></search><sort><creationdate>20140601</creationdate><title>Improved spatial resolution in soil moisture retrieval at arid mining area using apparent thermal inertia</title><author>LEI, Shao-gang ; BIAN, Zheng-fu ; DANIELS, John L. ; LIU, Dong-lie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c342t-c17d5cd6819b7634aa2fb107aa2ea229ea42004df3845381ecd3bd1caa953eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Inertia</topic><topic>Mathematical models</topic><topic>MODIS</topic><topic>Regression</topic><topic>remote sensing</topic><topic>Soil moisture</topic><topic>soil temperature difference</topic><topic>soil water content</topic><topic>Spatial resolution</topic><topic>Surface temperature</topic><topic>thermal inertia</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>LEI, Shao-gang</creatorcontrib><creatorcontrib>BIAN, Zheng-fu</creatorcontrib><creatorcontrib>DANIELS, John L.</creatorcontrib><creatorcontrib>LIU, Dong-lie</creatorcontrib><collection>CrossRef</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><jtitle>Transactions of Nonferrous Metals Society of China</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>LEI, Shao-gang</au><au>BIAN, Zheng-fu</au><au>DANIELS, John L.</au><au>LIU, Dong-lie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Improved spatial resolution in soil moisture retrieval at arid mining area using apparent thermal inertia</atitle><jtitle>Transactions of Nonferrous Metals Society of China</jtitle><date>2014-06-01</date><risdate>2014</risdate><volume>24</volume><issue>6</issue><spage>1866</spage><epage>1873</epage><pages>1866-1873</pages><issn>1003-6326</issn><abstract>A surface soil moisture model with improved spatial resolution was developed using remotely sensed apparent thermal inertia (ATI). The model integrates the surface temperature derived from TM/ETM+ image and the mean surface temperature from MODIS images to improve the spatial resolution of soil temperature difference based on the heat conduction equation, which is necessary to calculate the ATI. Consequently, the spatial resolution of ATI and SMC can be enhanced from 1 km to 120 m (TM) or 60 m (ETM+). Moreover, the enhanced ATI has a much stronger correlation coefficient (R2) with SMC (0.789) than the surface reflectance (0.108) or the ATI derived only from MODIS images (0.264). Based on the regression statistics of the field SMC measurement and enhanced ATI, a linear regression model with an RMS error of 1.90% was found.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/S1003-6326(14)63265-9</doi><tpages>8</tpages></addata></record> |
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subjects | Inertia Mathematical models MODIS Regression remote sensing Soil moisture soil temperature difference soil water content Spatial resolution Surface temperature thermal inertia |
title | Improved spatial resolution in soil moisture retrieval at arid mining area using apparent thermal inertia |
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