An object-based paddy rice classification using multi-spectral data and crop phenology in Assam, Northeast India

	An object-based paddy rice classification using multi-spectral data and crop phenology in Assam, Northeast India
	Singha, Mrinal 1; Wu, Bingfang 1; Zhang, Miao 1
刊名	Remote Sensing
	2016
卷号	8 期号:6
关键词	ESSENTIAL CLIMATE VARIABLES REMOTE-SENSING DATA LANDSAT-ETM+ DATA LEAF-AREA SPATIAL HETEROGENEITY GLOBAL PRODUCTS INDEX RETRIEVAL MODIS DATA GEOV1 LAI VEGETATION
通讯作者	Wu, Bingfang (wubf@radi.ac.cn)
英文摘要	Rice is the staple food for half of the world's population. Therefore, accurate information of rice area is vital for food security. This study investigates the effect of phenology for rice mapping using an object-based image analysis (OBIA) approach. Crop phenology is combined with high spatial resolution multispectral data to accurately classify the rice. Phenology was used to capture the seasonal dynamics of the crops, while multispectral data provided the spatial variation patterns. Phenology was extracted from MODIS NDVI time series, and the distribution of rice was mapped from China's Environmental Satellite (HJ-1A/B) data. Classification results were evaluated by a confusion matrix using 100 sample points. The overall accuracy of the resulting map of rice area generated by both spectral and phenology is 93%. The results indicate that the use of phenology improved the overall classification accuracy from 2%-4%. The comparison between the estimated rice areas and the State's statistics shows underestimated values with a percentage difference of -34.53%. The results highlight the potential of the combined use of crop phenology and multispectral satellite data for accurate rice classification in a large area.
学科主题	Remote Sensing
类目[WOS]	Remote Sensing
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:20162502526976
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39436]
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. University of Chinese Academy of Sciences, Beijing 2.100049, China 3. Division for Digital Agriculture, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Olympic Village Science Park, West Beichen Road, Chaoyang District, Beijing 4.100101, China
推荐引用方式 GB/T 7714	Singha, Mrinal,Wu, Bingfang,Zhang, Miao. An object-based paddy rice classification using multi-spectral data and crop phenology in Assam, Northeast India[J]. Remote Sensing,2016,8(6).
APA	Singha, Mrinal,Wu, Bingfang,&Zhang, Miao.(2016).An object-based paddy rice classification using multi-spectral data and crop phenology in Assam, Northeast India.Remote Sensing,8(6).
MLA	Singha, Mrinal,et al."An object-based paddy rice classification using multi-spectral data and crop phenology in Assam, Northeast India".Remote Sensing 8.6(2016).