气候变化领域集成服务门户(CCPortal): Comparison and evaluation of remote sensing indices for agricultural drought monitoring over Kazakhstan

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DOI	10.5194/isprs-archives-XLIII-B3-2020-899-2020
	Comparison and evaluation of remote sensing indices for agricultural drought monitoring over Kazakhstan
	Sun B.; Qian J.; Chen X.; Zhou Q.
发表日期	2020
ISSN	14712164
起始页码	899
结束页码	903
卷号	43 期号:B3
英文摘要	Drought has a significant impact on the Kazakhstan's agricultural economy, which is the world's largest wheat flour exporting country. Remote sensing provides an efficient tool for monitoring agricultural drought in a wide range. Hundreds of remote sensing drought indices have been developed during the past decades. Some of them have been widely used over the world as an indispensable indicator in drought monitoring systems. However, the applicability of those indices in Kazakhstan, the largest country in Central Asia has not been tested, especially for agricultural drought monitoring. In this study, the most common remote sensing drought indices in current running systems of drought monitoring are compared and evaluated. The response of those indices to the soil drought is validated based on remote sensing soil moisture data. In addition, the effectiveness of remote sensing indices in agricultural drought monitoring is assessed according to agricultural product yield data from the past 15 years (2004-2018). Results indicate that remote sensing drought indices can generally reflect serious drought events in the study area, but the consistency of different types of indices is poor. Compared with annual statistics of agricultural product yield, remote sensing drought index better reflects the long-term change of agricultural drought in Kazakhstan. © 2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives.
英文关键词	Agricultural Drought; Crop Yield; Kazakhstan; Remote Sensing Drought Index; Validation
语种	英语
scopus关键词	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/158412
作者单位	Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Research Center for Ecology and Environment of Central Asia, Chinese Academy of Sciences, Urumqi, China; Department of Geography, Hong Kong Baptist University, Hong Kong, Hong Kong
推荐引用方式 GB/T 7714	Sun B.,Qian J.,Chen X.,et al. Comparison and evaluation of remote sensing indices for agricultural drought monitoring over Kazakhstan[J],2020,43(B3).
APA	Sun B.,Qian J.,Chen X.,&Zhou Q..(2020).Comparison and evaluation of remote sensing indices for agricultural drought monitoring over Kazakhstan.,43(B3).
MLA	Sun B.,et al."Comparison and evaluation of remote sensing indices for agricultural drought monitoring over Kazakhstan".43.B3(2020).