NDLI: Preliminary Research on Grassland Fine-classification Based on MODIS

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Preliminary Research on Grassland Fine-classification Based on MODIS

Content Provider	Scilit
Author	Hu, Z. W. Zhang, S. Yu, X. Y. Wang, X. S.
Copyright Year	2014
Description	Journal: Iop Conference Series: Earth and Environmental Science Grassland ecosystem is important for climatic regulation, maintaining the soil and water. Research on the grassland monitoring method could provide effective reference for grassland resource investigation. In this study, we used the vegetation index method for grassland classification. There are several types of climate in China. Therefore, we need to use China's Main Climate Zone Maps and divide the study region into four climate zones. Based on grassland classification system of the first nation-wide grass resource survey in China, we established a new grassland classification system which is only suitable for this research. We used MODIS images as the basic data resources, and use the expert classifier method to perform grassland classification. Based on the 1:1,000,000 Grassland Resource Map of China, we obtained the basic distribution of all the grassland types and selected 20 samples evenly distributed in each type, then used NDVI/EVI product to summarize different spectral features of different grassland types. Finally, we introduced other classification auxiliary data, such as elevation, accumulate temperature (AT), humidity index (HI) and rainfall. China's nation-wide grassland classification map is resulted by merging the grassland in different climate zone. The overall classification accuracy is 60.4%. The result indicated that expert classifier is proper for national wide grassland classification, but the classification accuracy need to be improved.
Related Links	http://iopscience.iop.org/article/10.1088/1755-1315/17/1/012079/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/17/1/012079
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	1
Volume Number	17
Language	English
Publisher	IOP Publishing
Publisher Date	2014-03-18
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Imaging Science Remote Sensing Preliminary Research Classification Based Fine Classification Grassland Fine
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science

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