Analysis of RapidEye imagery for agricultural land cover and land use mapping

Author

Huiyong Sang ; Jixian Zhang ; Liang Zhai ; Chengji Qiu ; Xiaoxia Sun

Author_Institution

Chinese Acad. of Surveying & Mapping, Beijing, China

fYear

2014

fDate

11-14 June 2014

Firstpage

366

Lastpage

369

Abstract

The objective of this paper is to investigate the potential of RapidEye imagery in mapping agricultural land cover and land use types in Songnen Plain, northeast China. A new object-oriented decision tree classifier is applied to analyze the classification results of spectral feature inputs from RapidEye imagery. The incorporation of a red edge band in multi-spectral RapidEye sensor has great potential for improving agricultural land cover and land use classification. The highest positive effects are observed for vegetation classes in the study area.

Keywords

geophysical image processing; image classification; land cover; land use; vegetation mapping; RapidEye imagery analysis; Songnen Plain; agricultural land cover classification; agricultural land cover mapping; agricultural land use classification; agricultural land use mapping; multispectral RapidEye sensor; northeast China; object-oriented decision tree classifier; vegetation classes; Accuracy; NDVI; NDVI-RE; RapidEye; decision tree; object-oriented classification; red edge band;

fLanguage

English

Publisher

ieee

Conference_Titel

Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on

Conference_Location

Changsha

Print_ISBN

978-1-4799-5757-6

Type

conf

DOI

10.1109/EORSA.2014.6927914

Filename

6927914