Title :
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
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;
Conference_Titel :
Earth Observation and Remote Sensing Applications (EORSA), 2014 3rd International Workshop on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-5757-6
DOI :
10.1109/EORSA.2014.6927914
