干旱区生态环境知识资源中心(Arid): Study on the Classification and Change Detection Methods of Drylands in Arid and Semi-Arid Regions

Arid

DOI	10.3390/rs14051256
	Study on the Classification and Change Detection Methods of Drylands in Arid and Semi-Arid Regions
	Zhu, Zijuan; Zhang, Zengxiang; Zuo, Lijun; Pan, Tianshi; Zhao, Xiaoli; Wang, Xiao; Sun, Feifei; Xu, Jinyong; Liu, Ziyuan
通讯作者	Zuo, LJ
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:5
英文摘要	The aim of this study was to clarify the distribution of irrigated drylands in arid and semi-arid areas, where complex terrain, diverse crops and staggered cultivated lands exist. This paper studied the classification methods of irrigated drylands based on temperature, precipitation, Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) from Landsat data in the one-harvest area of the northern Loess Plateau of China by using the Google Earth Engine (GEE) platform. An extraction method was proposed for irrigated drylands in arid and semi-arid regions of northwest China. In addition, the change types of irrigated and rainfed drylands in the two periods were classified, and a method was also put forward to directly classify the change types by using the image differences between the two periods combined with the classification results of each period. It was found that combining the ratio of NDVI and NDWI with the accumulated values of temperature and precipitation of the 30 days before imaging could effectively improve the classification accuracy. Moreover, directly classifying the gaps of remote sensing factors in the time dimension before combining spatial clustering information could yield a more accurate type of change, because the accumulation of errors in the change maps obtained from the overlay analysis of distribution maps of the two periods could be avoided. The accuracy of classification could be improved by introducing the dynamic information of time dimension into the classification of historical periods. This study complements the extraction method for this type of irrigated dryland, and the classification results can improve the accuracy of existing products in terms of spatial resolution, which can fill the shortage of detailed distribution data for irrigated and rainfed drylands in this region.
英文关键词	irrigated drylands rainfed drylands change types arid and semi-arid region Loess Plateau of China GEE
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000769151400001
WOS关键词	DIFFERENCE WATER INDEX ; IRRIGATED LAND ; USE EFFICIENCY ; CHINA ; EVAPOTRANSPIRATION ; CROPLANDS ; SCALE
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/394117
推荐引用方式 GB/T 7714	Zhu, Zijuan,Zhang, Zengxiang,Zuo, Lijun,et al. Study on the Classification and Change Detection Methods of Drylands in Arid and Semi-Arid Regions[J],2022,14(5).
APA	Zhu, Zijuan.,Zhang, Zengxiang.,Zuo, Lijun.,Pan, Tianshi.,Zhao, Xiaoli.,...&Liu, Ziyuan.(2022).Study on the Classification and Change Detection Methods of Drylands in Arid and Semi-Arid Regions.REMOTE SENSING,14(5).
MLA	Zhu, Zijuan,et al."Study on the Classification and Change Detection Methods of Drylands in Arid and Semi-Arid Regions".REMOTE SENSING 14.5(2022).