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23 November 2011 Karst rock-desertification of extracting vegetation coverage inversion based on NDVI serial images and dimidiate pixel model: a case study of the Yachi demonstration area in Bijie city of Guizhou
Hui Zhang, Zhongfa Zhou, Jun Xie
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Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80060M (2011) https://doi.org/10.1117/12.901796
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
With the technological development background of "3S", the research area is Yachi demonstrate area in Bijie city of Guizhou. For traditional methods, NDVI is always used to extract Vegetation information from remote sensing image. Based on theory of dimidiate pixel model,the study region defined NDVISsoil and NDVISveg,vegetation, the inversion dimidiate pixel model was established based on vegetation index(NDVI) to extract vegetation coverage, vegetation coverage can be calculated by using the model of quantifying vegetation fraction from normalized difference vegetation,then acquired relationships between NDVI Serial Images and landscape pattern karst rock-desertification, finally yachi demonstrate area gainer karst rocky desertification landscape pattern of distribution. Using this methods of karst rocky desertification landscape pattern research has significantly improved the accuracy of classification, providing a scientific basis to ecological restoration of karst rocky desertification and other integrated control.
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Hui Zhang, Zhongfa Zhou, and Jun Xie "Karst rock-desertification of extracting vegetation coverage inversion based on NDVI serial images and dimidiate pixel model: a case study of the Yachi demonstration area in Bijie city of Guizhou", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060M (23 November 2011); https://doi.org/10.1117/12.901796
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KEYWORDS
Vegetation
Remote sensing
Soil science
Data modeling
Chemical elements
Image processing
Image classification
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