Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data

	Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data
	Li, Qingting 1; Wang, Cuizhen 1; Zhang, Bing 1; Lu, Linlin 1
刊名	REMOTE SENSING
	2015
卷号	7 期号:12 页码:15318-15339
关键词	object-based feature selection decision tree satellite time series crop classification
通讯作者	Li, QT (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, 9 Dengzhuang South Rd, Beijing 100094, Peoples R China.
英文摘要	Cropland mapping via remote sensing can provide crucial information for agri-ecological studies. Time series of remote sensing imagery is particularly useful for agricultural land classification. This study investigated the synergistic use of feature selection, Object-Based Image Analysis (OBIA) segmentation and decision tree classification for cropland mapping using a finer temporal-resolution Landsat-MODIS Enhanced time series in 2007. The enhanced time series extracted 26 layers of Normalized Difference Vegetation Index (NDVI) and five NDVI Time Series Indices (TSI) in a subset of agricultural land of Southwest Missouri. A feature selection procedure using the Stepwise Discriminant Analysis (SDA) was performed, and 10 optimal features were selected as input data for OBIA segmentation, with an optimal scale parameter obtained by quantification assessment of topological and geometric object differences. Using the segmented metrics in a decision tree classifier, an overall classification accuracy of 90.87% was achieved. Our study highlights the advantage of OBIA segmentation and classification in reducing noise from in-field heterogeneity and spectral variation. The crop classification map produced at 30 m resolution provides spatial distributions of annual and perennial crops, which are valuable for agricultural monitoring and environmental assessment studies.
研究领域[WOS]	Remote Sensing
收录类别	SCI
语种	英语
WOS记录号	WOS:000367534000015
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38047]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Li, Qingting 2.Zhang, Bing 3.Lu, Linlin] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China 4.[Wang, Cuizhen] Univ S Carolina, Dept Geog, Columbia, SC 29208 USA
推荐引用方式 GB/T 7714	Li, Qingting,Wang, Cuizhen,Zhang, Bing,et al. Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data[J]. REMOTE SENSING,2015,7(12):15318-15339.
APA	Li, Qingting,Wang, Cuizhen,Zhang, Bing,&Lu, Linlin.(2015).Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data.REMOTE SENSING,7(12),15318-15339.
MLA	Li, Qingting,et al."Object-Based Crop Classification with Landsat-MODIS Enhanced Time-Series Data".REMOTE SENSING 7.12(2015):15318-15339.