Crop information extraction in China based on NDVI characteristic curve

Author

Peipei Xu ; Hua Yang ; Tao Gao ; Xiang Zhao ; Donghai Wu

Author_Institution

State Key Lab. of Earth Surface Processes & Resource Ecology, Beijing Normal Univ., Beijing, China

fYear

2013

fDate

21-26 July 2013

Firstpage

2798

Lastpage

2801

Abstract

Cropland is one of the most important types of land surface. It provides the resources and environment on which human being relies for existence. This paper uses MODIS surface classification data and NDVI remote sensing data as data source to calculate the NDVI time series characteristic curve of cropland by histograms. We further obtain the 2001-2011 cropland distribution under 500m resolution with decision tree classification. Finally, the paper uses 2009 MERIS Globcover data as reference and calculates the producer´s accuracy. The results show that: the NDVI time series characteristic curve based on histograms is more suitable for extracting cropland information. The extraction producer´s accuracy shows an increase compared with cropland producer´s accuracy of MODIS.

Keywords

agriculture; crops; decision trees; signal classification; time series; vegetation mapping; AD 2001 to 2011; China; MERIS Globcover data; MODIS surface classification data; NDVI characteristic curve; NDVI remote sensing data; NDVI time series characteristic curve; crop information extraction; cropland distribution; cropland information; decision tree classification; histograms; land surface; Accuracy; Agriculture; Data mining; MODIS; Remote sensing; Time series analysis; Vegetation mapping; NDVI; characteristic curve; crop;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723405

Filename

6723405