干旱区生态环境知识资源中心(Arid): Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India

Arid

DOI	10.3390/rs12132091
	Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India
	Kulkarni, Sneha S.; Wardlow, Brian D.; Bayissa, Yared A.; Tadesse, Tsegaye; Svoboda, Mark D.; Gedam, Shirishkumar S.
通讯作者	Kulkarni, SS
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:13
英文摘要	The increasing drought severities and consequent devastating impacts on society over the Indian semi-arid regions demand better drought monitoring and early warning systems. Operational agricultural drought assessment methods in India mainly depend on a single input parameter such as precipitation and are based on a sparsely located in-situ measurements, which limits monitoring precision. The overarching objective of this study is to address this need through the development of an integrated agro-climatological drought monitoring approach, i.e., combined drought indicator for Marathwada (CDI_M), situated in the central part of Maharashtra, India. In this study, satellite and model-based input parameters (i.e., standardized precipitation index (SPI-3), land surface temperature (LST), soil moisture (SM), and normalized difference vegetation index (NDVI)) were analyzed at a monthly scale from 2001 to 2018. Two quantitative methods were tested to combine the input parameters for developing the CDI_M. These methods included an expert judgment-based weight of each parameter (Method-I) and principle component analysis (PCA)-based weighting approach (Method-II). Secondary data for major types of crop yields in Marathwada were utilized to assess the CDI_M results for the study period. CDI_M maps depict moderate to extreme drought cases in the historic drought years of 2002, 2009, and 2015-2016. This study found a significant increase in drought intensities (p <= 0.05) and drought frequency over the years 2001-2018, especially in the Latur, Jalna, and Parbhani districts. In comparison to Method-I (r >= 0.4), PCA-based (Method-II) CDI_M showed a higher correlation (r >= 0.60) with crop yields in both harvesting seasons (Kharif and Rabi). In particular, crop yields during the drier years showed a greater association (r > 6.5) with CDI_M over Marathwada. Hence, the present study illustrated the effectiveness of CDI_M to monitor agricultural drought in India and provide improved information to support agricultural drought management practices.
英文关键词	drought drought monitoring CDI_M PCA SPI SSI LST NDVI
类型	Article
语种	英语
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000550808300001
WOS关键词	MONSOON DROUGHTS ; RESPONSE INDEX ; SOIL-MOISTURE ; VARIABILITY ; VEGETATION ; TEMPERATURE ; TRENDS ; VEGDRI ; REGION ; FLOODS
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/2XILL650/325123
作者单位	[Kulkarni, Sneha S.; Gedam, Shirishkumar S.] Indian Inst Technol, Ctr Studies Resources Engn, Mumbai 400076, Maharashtra, India; [Kulkarni, Sneha S.; Wardlow, Brian D.; Tadesse, Tsegaye; Svoboda, Mark D.] Univ Nebraska, Natl Drought Mitigat Ctr, Sch Nat Resources, Lincoln, NE 68583 USA; [Wardlow, Brian D.] Univ Nebraska, Ctr Adv Land Management Informat Technol, Sch Nat Resources, Lincoln, NE 68588 USA; [Bayissa, Yared A.] Univ Nebraska, Sch Nat Resources, Lincoln, NE 68583 USA
推荐引用方式 GB/T 7714	Kulkarni, Sneha S.,Wardlow, Brian D.,Bayissa, Yared A.,et al. Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India[J],2020,12(13).
APA	Kulkarni, Sneha S.,Wardlow, Brian D.,Bayissa, Yared A.,Tadesse, Tsegaye,Svoboda, Mark D.,&Gedam, Shirishkumar S..(2020).Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India.REMOTE SENSING,12(13).
MLA	Kulkarni, Sneha S.,et al."Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India".REMOTE SENSING 12.13(2020).