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DOI	10.1080/2150704X.2023.2249592
	A Crop water stress index based on Remote Sensing methods for monitoring drought in an Arid area
	Liu, Suyi; Pan, Xin; Yang, Yingbao; Yuan, Jie; Yang, Zi; Wang, Zhanchuan; Xie, Wenying; Song, Hao
通讯作者	Pan, X ; Yang, YB
来源期刊	REMOTE SENSING LETTERS
ISSN	2150-704X
EISSN	2150-7058
出版年	2023
卷号	14 期号:8 页码:890-900
英文摘要	Agricultural drought monitoring plays a vital role in ensuring food production, rational allocation and utilization of water resources, and maintaining stable and rapid economic development. The remote sensing method enables quick and non-destructively assessment of agriculture drought through crop moisture stress index (CWSI). However, existing CWSI methods suffer from limited applicability and complex calculations. To address these issues, this study introduces a new approach, CWSI-NM, which estimates CWSI by using a nonparametric approach (NP) to estimate actual evapotranspiration and the MOD16 Penman-Monteith (P-M) algorithm to estimate potential evapotranspiration. Applying Landsat 8 images and CLDAS datasets, the study found that CWSI-NM provides a clearer spatial representation of water stress compared to CWSI and TVDI. Furthermore, the correlation coefficient between CWSI-NM and ground-observed soil water content is 0.82, higher than that of traditional CWSI (0.69) and TVDI (0.65), indicating that CWSI-NM is more suitable for describing soil water stress. The results also indicate a strong correlation between CWSI-NM and ground observed soil moisture at cropland (the correlation coefficient of cropland, forest, and grassland sites was 0.91, 0.86, and 0.85, respectively), and CWSI-NM track soil water much better at cropland with a significant negative variation with observed soil water. Thus, CWSI-NM is a reliable method for long-term drought analysis, particularly for assessing spatial-temporal changes and related factors of agricultural drought.
英文关键词	Crop water stress index Evapotranspiration Landsat 8 Drought monitoring
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001093680300001
WOS关键词	NONPARAMETRIC APPROACH ; ENERGY-BALANCE ; EVAPOTRANSPIRATION ; TEMPERATURE ; VEGETATION ; YIELD
WOS类目	Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	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/2XILL650/398355
推荐引用方式 GB/T 7714	Liu, Suyi,Pan, Xin,Yang, Yingbao,et al. A Crop water stress index based on Remote Sensing methods for monitoring drought in an Arid area[J],2023,14(8):890-900.
APA	Liu, Suyi.,Pan, Xin.,Yang, Yingbao.,Yuan, Jie.,Yang, Zi.,...&Song, Hao.(2023).A Crop water stress index based on Remote Sensing methods for monitoring drought in an Arid area.REMOTE SENSING LETTERS,14(8),890-900.
MLA	Liu, Suyi,et al."A Crop water stress index based on Remote Sensing methods for monitoring drought in an Arid area".REMOTE SENSING LETTERS 14.8(2023):890-900.