Extraction of the Vegetation Information Based on Temporal and Spectrum Information

Author

Zhang Chunsen ; Feng Li

Author_Institution

Coll. of Geomatics, Xi´an Univ. of Sci. & Technol., Xi´an, China

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

1

Lastpage

4

Abstract

This paper chooses 85 Ground Truths which include different types of features in ETM, using the ETM data in 2002 and geographic information of vegetation. The NDVI time sequence curves of the Ground Truths were obtained by MODIS data of Shaanxi province in 2003. Decision tree classification method combined with NDVI time sequence curves of Ground Truths was realized the classification of vegetation which based on temporal and spectrum information in Shanxi province. Finally, confusion matrix and Kappa coefficient were used to evaluate the accuracy of the classification. Results showed that the method was superior to the traditional classification methods, and results and other findings are consistent.

Keywords

decision trees; feature extraction; geographic information systems; geophysical image processing; image classification; vegetation; vegetation mapping; ETM data; Kappa coefficient; MODIS; NDVI time sequence curves; Shaanxi province; confusion matrix; decision tree classification method; geographic information; ground truths; spectrum information; temporal information; vegetation classification; vegetation information extraction; Classification algorithms; Classification tree analysis; Data mining; MODIS; Remote sensing; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2010 International Conference on

Conference_Location

Ningbo

Print_ISBN

978-1-4244-7871-2

Type

conf

DOI

10.1109/ICMULT.2010.5631045

Filename

5631045