[Hyperspectral remote sensing estimation models on vegetation coverage of natural grassland].
Identifieur interne : 000B69 ( Main/Exploration ); précédent : 000B68; suivant : 000B70[Hyperspectral remote sensing estimation models on vegetation coverage of natural grassland].
Auteurs : Zhanyu Liu [République populaire de Chine] ; Jingfeng Huang ; Xinhong Wu ; Yongping Dong ; Fumin Wang ; Pengtao LiuSource :
- Ying yong sheng tai xue bao = The journal of applied ecology [ 1001-9332 ] ; 2006.
English descriptors
- KwdEn :
- MESH :
- growth & development : Poaceae.
- instrumentation : Satellite Communications.
- Conservation of Natural Resources, Ecosystem, Linear Models, Regression Analysis.
Abstract
By using ASD FieldSpec Pro FR spectroradiometer, the spectral measurement of natural grassland in Xilingole Leaguer of Inner Mongolia was performed, with the vegetation coverage of natural grassland calculated, and the correlation of 25 hyperspectral feature variables with the vegetation coverage of natural grassland was analyzed. The results showed that there were 17 variables correlated significantly with the vegetation coverage of natural grassland, among which, the correlation coefficient between vegetation coverage and the area of red edge peak calculated as the sum of the amplitudes between 680 nm and 780 nm (sigma dr 680 - 780 nm) was the highest, with the value of 0.781. The basic experimental data including the vegetation coverage and canopy reflectance of natural grassland were classified into two groups. One group was used as the training sample to build the regression models with one-sample linear method, nonlinear method, and stepwise analysis method, while the other was used as the testing sample to test the precision of regression models. It was suggested that the variable of the area of red edge peak calculated as the sum of amplitudes between 680 nm and 780 nm (sigma dr 680 - 780 nm) was the best one to univariate general linear model, with a standard deviation of 10.4% and an estimation precision of 83.99%, while the stepwise regression technique was not effective to estimate the grassland coverage with raw hyperspectral canopy reflectance.
PubMed: 16964930
Affiliations:
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sortKey="Huang, Jingfeng" sort="Huang, Jingfeng" uniqKey="Huang J" first="Jingfeng" last="Huang">Jingfeng Huang</name></author><author><name sortKey="Wu, Xinhong" sort="Wu, Xinhong" uniqKey="Wu X" first="Xinhong" last="Wu">Xinhong Wu</name></author><author><name sortKey="Dong, Yongping" sort="Dong, Yongping" uniqKey="Dong Y" first="Yongping" last="Dong">Yongping Dong</name></author><author><name sortKey="Wang, Fumin" sort="Wang, Fumin" uniqKey="Wang F" first="Fumin" last="Wang">Fumin Wang</name></author><author><name sortKey="Liu, Pengtao" sort="Liu, Pengtao" uniqKey="Liu P" first="Pengtao" last="Liu">Pengtao Liu</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2006">2006</date><idno type="RBID">pubmed:16964930</idno><idno type="pmid">16964930</idno><idno type="wicri:Area/PubMed/Corpus">000386</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000386</idno><idno 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wicri:level="4"><nlm:affiliation>Institute of Agriculture Remote Sensing & Information System Application, Zhejiang University, Hangzhou 310029, China. lzypxy@tom.com</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Agriculture Remote Sensing & Information System Application, Zhejiang University, Hangzhou 310029</wicri:regionArea><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName><orgName type="university">Université de Zhejiang</orgName><placeName><settlement type="city">Hangzhou</settlement><region type="province">Zhejiang</region></placeName></affiliation></author><author><name sortKey="Huang, Jingfeng" sort="Huang, Jingfeng" uniqKey="Huang J" first="Jingfeng" last="Huang">Jingfeng Huang</name></author><author><name sortKey="Wu, Xinhong" sort="Wu, Xinhong" uniqKey="Wu X" first="Xinhong" last="Wu">Xinhong Wu</name></author><author><name sortKey="Dong, Yongping" sort="Dong, Yongping" uniqKey="Dong Y" first="Yongping" last="Dong">Yongping Dong</name></author><author><name sortKey="Wang, Fumin" sort="Wang, Fumin" uniqKey="Wang F" first="Fumin" last="Wang">Fumin Wang</name></author><author><name sortKey="Liu, Pengtao" sort="Liu, Pengtao" uniqKey="Liu P" first="Pengtao" last="Liu">Pengtao Liu</name></author></analytic><series><title level="j">Ying yong sheng tai xue bao = The journal of applied ecology</title><idno type="ISSN">1001-9332</idno><imprint><date when="2006" type="published">2006</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Conservation of Natural Resources</term><term>Ecosystem</term><term>Linear Models</term><term>Poaceae (growth & development)</term><term>Regression Analysis</term><term>Satellite Communications (instrumentation)</term></keywords><keywords scheme="MESH" qualifier="growth & development" xml:lang="en"><term>Poaceae</term></keywords><keywords scheme="MESH" qualifier="instrumentation" xml:lang="en"><term>Satellite Communications</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Conservation of Natural Resources</term><term>Ecosystem</term><term>Linear Models</term><term>Regression Analysis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">By using ASD FieldSpec Pro FR spectroradiometer, the spectral measurement of natural grassland in Xilingole Leaguer of Inner Mongolia was performed, with the vegetation coverage of natural grassland calculated, and the correlation of 25 hyperspectral feature variables with the vegetation coverage of natural grassland was analyzed. The results showed that there were 17 variables correlated significantly with the vegetation coverage of natural grassland, among which, the correlation coefficient between vegetation coverage and the area of red edge peak calculated as the sum of the amplitudes between 680 nm and 780 nm (sigma dr 680 - 780 nm) was the highest, with the value of 0.781. The basic experimental data including the vegetation coverage and canopy reflectance of natural grassland were classified into two groups. One group was used as the training sample to build the regression models with one-sample linear method, nonlinear method, and stepwise analysis method, while the other was used as the testing sample to test the precision of regression models. It was suggested that the variable of the area of red edge peak calculated as the sum of amplitudes between 680 nm and 780 nm (sigma dr 680 - 780 nm) was the best one to univariate general linear model, with a standard deviation of 10.4% and an estimation precision of 83.99%, while the stepwise regression technique was not effective to estimate the grassland coverage with raw hyperspectral canopy reflectance.</div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country><region><li>Zhejiang</li></region><settlement><li>Hangzhou</li></settlement><orgName><li>Université de Zhejiang</li></orgName></list><tree><noCountry><name sortKey="Dong, Yongping" sort="Dong, Yongping" uniqKey="Dong Y" first="Yongping" last="Dong">Yongping Dong</name><name sortKey="Huang, Jingfeng" sort="Huang, Jingfeng" uniqKey="Huang J" first="Jingfeng" last="Huang">Jingfeng Huang</name><name sortKey="Liu, Pengtao" sort="Liu, Pengtao" uniqKey="Liu P" first="Pengtao" last="Liu">Pengtao Liu</name><name sortKey="Wang, Fumin" sort="Wang, Fumin" uniqKey="Wang F" first="Fumin" last="Wang">Fumin Wang</name><name sortKey="Wu, Xinhong" sort="Wu, Xinhong" uniqKey="Wu X" first="Xinhong" last="Wu">Xinhong Wu</name></noCountry><country name="République populaire de Chine"><region name="Zhejiang"><name sortKey="Liu, Zhanyu" sort="Liu, Zhanyu" uniqKey="Liu Z" first="Zhanyu" last="Liu">Zhanyu Liu</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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