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Article: A Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of China Using EO-1 Hyperion Data

TitleA Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of China Using EO-1 Hyperion Data
Authors
Keywordsspectral absorption features
soil salt content
hyperspectral reflectance
Issue Date2010
Citation
Pedosphere, 2010, v. 20, n. 3, p. 378-388 How to Cite?
AbstractSoil salinization is one of the most common land degradation processes. In this study, spectral measurements of saline soil samples collected from the Yellow River Delta region of China were conducted in laboratory and hyperspectral data were acquired from an EO-1 Hyperion sensor to quantitatively map soil salinity in the region. A soil salinity spectral index (SSI) was constructed from continuum-removed reflectance (CR-reflectance) at 2 052 and 2 203 nm, to analyze the spectral absorption features of the salt-affected soils. There existed a strong correlation (r =0.91) between the SSI and soil salt content (SSC). Then, a model for estimation of SSC with SSI was established using univariate regression and validation of the model yielded a root mean square error (RMSE) of 0.986 and an R2 of 0.873. The model was applied to a Hyperion reflectance image on a pixel-by-pixel basis and the resulting quantitative salinity map was validated successfully with RMSE = 1.921 and R2 =0.627. These suggested that the satellite hyperspectral data had the potential for predicting SSC in a large area. © 2010 Soil Science Society of China.
Persistent Identifierhttp://hdl.handle.net/10722/296668
ISSN
2023 Impact Factor: 5.2
2023 SCImago Journal Rankings: 1.294
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWENG, Yong Ling-
dc.contributor.authorGONG, Peng-
dc.contributor.authorZHU, Zhi Liang-
dc.date.accessioned2021-02-25T15:16:24Z-
dc.date.available2021-02-25T15:16:24Z-
dc.date.issued2010-
dc.identifier.citationPedosphere, 2010, v. 20, n. 3, p. 378-388-
dc.identifier.issn1002-0160-
dc.identifier.urihttp://hdl.handle.net/10722/296668-
dc.description.abstractSoil salinization is one of the most common land degradation processes. In this study, spectral measurements of saline soil samples collected from the Yellow River Delta region of China were conducted in laboratory and hyperspectral data were acquired from an EO-1 Hyperion sensor to quantitatively map soil salinity in the region. A soil salinity spectral index (SSI) was constructed from continuum-removed reflectance (CR-reflectance) at 2 052 and 2 203 nm, to analyze the spectral absorption features of the salt-affected soils. There existed a strong correlation (r =0.91) between the SSI and soil salt content (SSC). Then, a model for estimation of SSC with SSI was established using univariate regression and validation of the model yielded a root mean square error (RMSE) of 0.986 and an R2 of 0.873. The model was applied to a Hyperion reflectance image on a pixel-by-pixel basis and the resulting quantitative salinity map was validated successfully with RMSE = 1.921 and R2 =0.627. These suggested that the satellite hyperspectral data had the potential for predicting SSC in a large area. © 2010 Soil Science Society of China.-
dc.languageeng-
dc.relation.ispartofPedosphere-
dc.subjectspectral absorption features-
dc.subjectsoil salt content-
dc.subjecthyperspectral reflectance-
dc.titleA Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of China Using EO-1 Hyperion Data-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/S1002-0160(10)60027-6-
dc.identifier.scopuseid_2-s2.0-77953298154-
dc.identifier.volume20-
dc.identifier.issue3-
dc.identifier.spage378-
dc.identifier.epage388-
dc.identifier.isiWOS:000279186500013-
dc.identifier.issnl1002-0160-

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