Assessing Effects of Cotton-Rice Rotation on Rice Yield Using Different Remote Sensing Vegetation Indices

被引:0
作者
Sun, Ling [1 ]
Zhu, Zesheng [2 ]
机构
[1] JiangSu Acad Agr Sci, Inst Agr Informat, Nanjing 210014, Peoples R China
[2] Naval Command Coll, Res Dept, Nanjing 210016, Peoples R China
来源
2019 8TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS) | 2019年
关键词
rotation of cotton and rice; continuous monoculture of rice; vegetation indices; rice rotation effect estimation; satellite remote sensing experiment; LEAF-AREA INDEX;
D O I
10.1109/agro-geoinformatics.2019.8820503
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
The goal of this paper was to investigate the strength of key spectral vegetation indices for the rice rotation effect related to the rice yield increment. Six widely used spectral indices were investigated in a study of the rice rotation effect in cotton-rice rotation and rice-rice monoculture in Xinghua, China. These six indices related closely with rice yield were investigated for cotton and rice during 2 years (2001 and 2002) on LANDSAT 7 ETM+ images. Six rice vegetation indices of cotton-rice rotation were increased by an average of 6.28% (NDVI), 11.28% (GVI), 6.28% (SAVI), 1.25% (IPVI), 3.40% (RVI), and 7.66% (DVI) compared with that of rice-rice monoculture, respectively.
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页数:4
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