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	A remote sensing-based agricultural drought indicator and its implementation over a semi-arid region, Jordan
	Hazaymeh Khaled; Hassan Quazi K
来源期刊	Journal of Arid Land
ISSN	1674-6767
出版年	2017
卷号	9 期号:3 页码:319-330
英文摘要	The objective of the study was to develop a remote sensing (i.e., Landsat-8 and MODIS)-based agricultural drought indicator (ADI) at 30-m spatial resolution and 8-day temporal resolution and also to evaluate its performance over a heterogeneous agriculture dominant semi-arid region in Jordan. Firstly, we used principal component analysis (PCA) to evaluate the correlations among six commonly used remote sensing-derived agricultural drought related variables. The variables included normalized difference water index (NDWI), normalized difference vegetation index (NDVI), visible and shortwave drought index (VSDI), normalized multiband drought index (NMDI), moisture stress index (MSI), and land surface temperature (LST). Secondly, we integrated the relatively less correlated variables (that were found to be NDWI, VSDI, and LST) to generate four agricultural drought categories/conditions (i.e., wet, mild drought, moderate drought, and severe drought). Finally, we evaluated the ADI maps against a set of 8-day ground-based standardized precipitation index values (i.e., SPI-1, SPI-2, ..., SPI-8) by use of confusion matrices and observed the best results for SPI-4 (i.e., overall accuracy and Kappa-values were 83% and 76%, respectively) and SPI-5 (i.e., overall accuracy and Kappa-values were 85% and 78%, respectively). The results demonstrated that the method would be valuable for monitoring agricultural drought conditions in semi-arid regions at both a reasonably high spatial resolution (i.e., 30-m) and a short time period (i.e., 8-day).
英文关键词	spatio-temporal image fusion model (STI-FM) land surface temperature (LST) surface reflectance standardized precipitation index (SPI) Landsat-8 MODIS
类型	Article
语种	英语
开放获取类型	Bronze
收录类别	CSCD
WOS研究方向	Agriculture
CSCD记录号	CSCD:5983402
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/335796
作者单位	Hazaymeh Khaled, Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada.; Hassan Quazi K, Department of Geomatics Engineering, Schulich School of Engineering, University of Calgary, Calgary, Canada.
推荐引用方式 GB/T 7714	Hazaymeh Khaled,Hassan Quazi K. A remote sensing-based agricultural drought indicator and its implementation over a semi-arid region, Jordan[J],2017,9(3):319-330.
APA	Hazaymeh Khaled,&Hassan Quazi K.(2017).A remote sensing-based agricultural drought indicator and its implementation over a semi-arid region, Jordan.Journal of Arid Land,9(3),319-330.
MLA	Hazaymeh Khaled,et al."A remote sensing-based agricultural drought indicator and its implementation over a semi-arid region, Jordan".Journal of Arid Land 9.3(2017):319-330.