DOI: 10.1016/j.jag.2016.06.001
Scopus记录号: 2-s2.0-84997840794
论文题名: Optimization of spectral indices and long-term separability analysis for classification of cereal crops using multi-spectral RapidEye imagery
作者: Gerstmann H ; , Möller M ; , Gläßer C
刊名: International Journal of Applied Earth Observation and Geoinformation
ISSN: 15698432
出版年: 2016
卷: 52 起始页码: 115
结束页码: 125
语种: 英语
英文关键词: Crop classification
; RapidEye
; Spectral separability
; Time series
; Vegetation index
Scopus关键词: cereal
; classification
; imagery
; multispectral image
; optimization
; RapidEye
; remote sensing
; spectral analysis
; time series analysis
; vegetation index
; Hordeum
; Triticum aestivum
英文摘要: Crop monitoring using remotely sensed image data provides valuable input for a large variety of applications in environmental and agricultural research. However, method development for discrimination between spectrally highly similar crop species remains a challenge in remote sensing. Calculation of vegetation indices is a frequently applied option to amplify the most distinctive parts of a spectrum. Since no vegetation index exist, that is universally best-performing, a method is presented that finds an index that is optimized for the classification of a specific satellite data set to separate two cereal crop types. The η2 (eta-squared) measure of association – presented as novel spectral separability indicator – was used for the evaluation of the numerous tested indices. The approach is first applied on a RapidEye satellite image for the separation of winter wheat and winter barley in a Central German test site. The determined optimized index allows a more accurate classification (97%) than several well-established vegetation indices like NDVI and EVI (<87%). Furthermore, the approach was applied on a RapidEye multi-spectral image time series covering the years 2010–2014. The optimized index for the spectral separation of winter barley and winter wheat for each acquisition date was calculated and its ability to distinct the two classes was assessed. The results indicate that the calculated optimized indices perform better than the standard indices for most seasonal parts of the time series. The red edge spectral region proved to be of high significance for crop classification. Additionally, a time frame of best spectral separability of wheat and barley could be detected in early to mid-summer. © 2016 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/80040
Appears in Collections: 气候变化事实与影响
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作者单位: Martin Luther University Halle-Wittenberg, Institute for Geosciences and Geography, Department for Remote Sensing and Cartography, Von-Seckendorff-Platz 4, Halle (Saale), Germany; Martin Luther University Halle-Wittenberg, Institute of Agriculture and Nutrition Science, Department of Farm Management, Karl-Freiherr-von-Fritsch-Str. 4, Halle (Saale), Germany
Recommended Citation:
Gerstmann H,, Möller M,, Gläßer C. Optimization of spectral indices and long-term separability analysis for classification of cereal crops using multi-spectral RapidEye imagery[J]. International Journal of Applied Earth Observation and Geoinformation,2016-01-01,52