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Article: Fractional vegetation cover estimation based on soil and vegetation lines in a corn-dominated area

TitleFractional vegetation cover estimation based on soil and vegetation lines in a corn-dominated area
Authors
KeywordsFractional vegetation cover
image characteristics
remote sensing
soil line
vegetation line
Issue Date2017
Citation
Geocarto International, 2017, v. 32, n. 5, p. 531-540 How to Cite?
AbstractAn automatic fractional vegetation cover (FVC) estimation method based on image characteristics in an agricultural region was proposed in this study to remove the empiricism in determining the key parameters of empirical methods. The proposed method automatically determined the soil and vegetation lines in the two-dimensional space of the red and blue band reflectances, which involved an iterative soil and vegetation pixels selection procedure, and then estimated FVC of a pixel based on its distances from the soil and vegetation lines. The accuracy assessment using field survey data indicated that the performance of the proposed method (R2 = 0.69, RMSE = 0.072, Bias = 0.014) was comparable with several commonly used empirical methods. Therefore, it was indicated that the proposed method could effectively estimate FVC in the corn-dominated region.
Persistent Identifierhttp://hdl.handle.net/10722/321666
ISSN
2023 Impact Factor: 3.3
2023 SCImago Journal Rankings: 0.675
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorJia, Kun-
dc.contributor.authorLi, Yuwei-
dc.contributor.authorLiang, Shunlin-
dc.contributor.authorWei, Xiangqin-
dc.contributor.authorMu, Xihan-
dc.contributor.authorYao, Yunjun-
dc.date.accessioned2022-11-03T02:20:36Z-
dc.date.available2022-11-03T02:20:36Z-
dc.date.issued2017-
dc.identifier.citationGeocarto International, 2017, v. 32, n. 5, p. 531-540-
dc.identifier.issn1010-6049-
dc.identifier.urihttp://hdl.handle.net/10722/321666-
dc.description.abstractAn automatic fractional vegetation cover (FVC) estimation method based on image characteristics in an agricultural region was proposed in this study to remove the empiricism in determining the key parameters of empirical methods. The proposed method automatically determined the soil and vegetation lines in the two-dimensional space of the red and blue band reflectances, which involved an iterative soil and vegetation pixels selection procedure, and then estimated FVC of a pixel based on its distances from the soil and vegetation lines. The accuracy assessment using field survey data indicated that the performance of the proposed method (R2 = 0.69, RMSE = 0.072, Bias = 0.014) was comparable with several commonly used empirical methods. Therefore, it was indicated that the proposed method could effectively estimate FVC in the corn-dominated region.-
dc.languageeng-
dc.relation.ispartofGeocarto International-
dc.subjectFractional vegetation cover-
dc.subjectimage characteristics-
dc.subjectremote sensing-
dc.subjectsoil line-
dc.subjectvegetation line-
dc.titleFractional vegetation cover estimation based on soil and vegetation lines in a corn-dominated area-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/10106049.2016.1161075-
dc.identifier.scopuseid_2-s2.0-84961615981-
dc.identifier.volume32-
dc.identifier.issue5-
dc.identifier.spage531-
dc.identifier.epage540-
dc.identifier.isiWOS:000396895500005-

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