An analytical study of soil temperature with respect to its salinity
In this study, the relationship between the bare soil temperature with respect to its salinity is presented, the bare soil feature is considered only by eliminating all other land features by classifying the site location by using the support vector machine algorithm, in the same time the salinity i...
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| creator | Mahdi, Mahdi H. Abduljabbar, Hameed M. |
| description | In this study, the relationship between the bare soil temperature with respect to its salinity is presented, the bare soil feature is considered only by eliminating all other land features by classifying the site location by using the support vector machine algorithm, in the same time the salinity index that calculated from the spectral response from the satellite bands is calibrated using empirical salinity value calculated from field soil samples. A 2D probability density function is used to analyze the relationship between the temperature rising from the minimum temperature (from the sunrise time) due to the solar radiation duration tell the time of the satellite capturing the scene image and the calibrated salinity index is presented. The study shows a direct relationship between the soil salinity and the temperature rising. |
| doi_str_mv | 10.1063/1.5138495 |
| format | Conference Proceeding |
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A 2D probability density function is used to analyze the relationship between the temperature rising from the minimum temperature (from the sunrise time) due to the solar radiation duration tell the time of the satellite capturing the scene image and the calibrated salinity index is presented. The study shows a direct relationship between the soil salinity and the temperature rising.</description><identifier>ISSN: 0094-243X</identifier><identifier>EISSN: 1551-7616</identifier><identifier>DOI: 10.1063/1.5138495</identifier><identifier>CODEN: APCPCS</identifier><language>eng</language><publisher>Melville: American Institute of Physics</publisher><subject>Algorithms ; Empirical analysis ; Mathematical analysis ; Probability density functions ; Salinity ; Satellite imagery ; Soil analysis ; Soil temperature ; Soils ; Solar radiation ; Spacecraft recovery ; Spectral sensitivity ; Sunrise ; Support vector machines</subject><ispartof>AIP conference proceedings, 2019, Vol.2190 (1)</ispartof><rights>Author(s)</rights><rights>2019 Author(s). 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A 2D probability density function is used to analyze the relationship between the temperature rising from the minimum temperature (from the sunrise time) due to the solar radiation duration tell the time of the satellite capturing the scene image and the calibrated salinity index is presented. The study shows a direct relationship between the soil salinity and the temperature rising.</description><subject>Algorithms</subject><subject>Empirical analysis</subject><subject>Mathematical analysis</subject><subject>Probability density functions</subject><subject>Salinity</subject><subject>Satellite imagery</subject><subject>Soil analysis</subject><subject>Soil temperature</subject><subject>Soils</subject><subject>Solar radiation</subject><subject>Spacecraft recovery</subject><subject>Spectral sensitivity</subject><subject>Sunrise</subject><subject>Support vector machines</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2019</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNp9kEtLAzEYRYMoWKsL_0HAnTA1yZfHZFnqEwpuFNyFdCbBlOlkTDLK_HsrFty5uptzD5eL0CUlC0ok3NCFoFBzLY7QjApBKyWpPEYzQjSvGIe3U3SW85YQppWqZ-h22WPb224qobEdzmVsJxw9zjF0uLjd4JItY3L4K5R3nFweXFNwiTiUjLPtQh_KdI5OvO2yuzjkHL3e372sHqv188PTarmuBiagVKq1wgndUEJsqxwowTWAqzdatFp6YNy20lOQfsNZLamQfOOVV5R4AsIymKOrX--Q4sfocjHbOKb9-mzYvg2k5nvjHF3_UrkJxZYQezOksLNpMpSYn5cMNYeX_oM_Y_oDzdB6-AZCK2dx</recordid><startdate>20191211</startdate><enddate>20191211</enddate><creator>Mahdi, Mahdi H.</creator><creator>Abduljabbar, Hameed M.</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20191211</creationdate><title>An analytical study of soil temperature with respect to its salinity</title><author>Mahdi, Mahdi H. ; Abduljabbar, Hameed M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p253t-7da5e59c100ad7e3754933e8b95d96f324ad6f136fb42861564bf7f710f035a23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Algorithms</topic><topic>Empirical analysis</topic><topic>Mathematical analysis</topic><topic>Probability density functions</topic><topic>Salinity</topic><topic>Satellite imagery</topic><topic>Soil analysis</topic><topic>Soil temperature</topic><topic>Soils</topic><topic>Solar radiation</topic><topic>Spacecraft recovery</topic><topic>Spectral sensitivity</topic><topic>Sunrise</topic><topic>Support vector machines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mahdi, Mahdi H.</creatorcontrib><creatorcontrib>Abduljabbar, Hameed M.</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mahdi, Mahdi H.</au><au>Abduljabbar, Hameed M.</au><au>Vokas, Georgios</au><au>Haider, Adawiya J.</au><au>Salame, Chafic-Touma</au><au>Jabur, Akram R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>An analytical study of soil temperature with respect to its salinity</atitle><btitle>AIP conference proceedings</btitle><date>2019-12-11</date><risdate>2019</risdate><volume>2190</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>In this study, the relationship between the bare soil temperature with respect to its salinity is presented, the bare soil feature is considered only by eliminating all other land features by classifying the site location by using the support vector machine algorithm, in the same time the salinity index that calculated from the spectral response from the satellite bands is calibrated using empirical salinity value calculated from field soil samples. A 2D probability density function is used to analyze the relationship between the temperature rising from the minimum temperature (from the sunrise time) due to the solar radiation duration tell the time of the satellite capturing the scene image and the calibrated salinity index is presented. The study shows a direct relationship between the soil salinity and the temperature rising.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/1.5138495</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0094-243X |
| ispartof | AIP conference proceedings, 2019, Vol.2190 (1) |
| issn | 0094-243X 1551-7616 |
| language | eng |
| recordid | cdi_proquest_journals_2324308449 |
| source | AIP Journals Complete |
| subjects | Algorithms Empirical analysis Mathematical analysis Probability density functions Salinity Satellite imagery Soil analysis Soil temperature Soils Solar radiation Spacecraft recovery Spectral sensitivity Sunrise Support vector machines |
| title | An analytical study of soil temperature with respect to its salinity |
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