干旱区生态环境知识资源中心(Arid): Monitoring of agricultural drought in semi-arid ecosystem of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets

Arid

DOI	10.1016/j.ecolind.2020.107033
	Monitoring of agricultural drought in semi-arid ecosystem of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets
	Sandeep, P.; Reddy, G. P. Obi; Jegankumar, R.; Kumar, K. C. Arun
通讯作者	Reddy, GPO (corresponding author), ICAR Natl Bur Soil Survey & Land Use Planning, Nagpur 440033, Maharashtra, India.
来源期刊	ECOLOGICAL INDICATORS
ISSN	1470-160X
EISSN	1872-7034
出版年	2021
卷号	121
英文摘要	The reliable and consistent remote sensing-based drought indices along with Geographic Information System (GIS) play a significant role in the mapping, and monitoring of agricultural drought. The core objective of the present study is to monitor agricultural drought dynamics over the semi-arid Rayalaseema region of Peninsular India during the year 2000 to 2018 by using the Normalized Vegetation Supply Water Index (NVSWI) derived from time-series remote sensing data products. NVSWI is the normalization of Vegetation Supply Water Index (VSWI), which was computed by integrating the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST). The analysis of Standardized Precipitation Index (SPI) shows that in dry year (2001), majority of the study area experienced extreme dry conditions (SPI < -2.0) due to the deficit rainfall during the growing season. The spatio-temporal analysis of NVSWI reveals that the western, central, and northern parts of the study area were prone to frequent droughts of moderate to severe intensity. The high temperatures and below normal rainfall are found to be the major triggering factors for the droughts in the region. During the years 2001, 2002, 2003, 2006, 2009, 2014, 2017, and 2018 worst droughts were observed in the study region. The Pearson correlation analysis between monthly NVSWI with 1-month SPI and Vegetation Health Index (VHI) for the growing season of dry (2001) and wet (2007) years clearly show a significant positive correlation. The study clearly demonstrates the potential of NVSWI as one of the robust indices in the assessment and monitoring of agricultural droughts.
英文关键词	CHIRPS Agricultural drought NVSWI SPI NDVI LST Rayalaseema region
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:000604892800005
WOS关键词	LAND-SURFACE TEMPERATURE ; VEGETATION INDEX ; NDVI ; TECHNOLOGY ; YUNNAN ; SPACE ; AREAS ; CHINA ; WATER
WOS类目	Biodiversity Conservation ; Environmental Sciences
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347827
作者单位	[Sandeep, P.; Reddy, G. P. Obi; Kumar, K. C. Arun] ICAR Natl Bur Soil Survey & Land Use Planning, Nagpur 440033, Maharashtra, India; [Sandeep, P.; Jegankumar, R.; Kumar, K. C. Arun] Bharathidasan Univ, Dept Geog, Tiruchirappalli 620024, Tamil Nadu, India
推荐引用方式 GB/T 7714	Sandeep, P.,Reddy, G. P. Obi,Jegankumar, R.,et al. Monitoring of agricultural drought in semi-arid ecosystem of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets[J],2021,121.
APA	Sandeep, P.,Reddy, G. P. Obi,Jegankumar, R.,&Kumar, K. C. Arun.(2021).Monitoring of agricultural drought in semi-arid ecosystem of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets.ECOLOGICAL INDICATORS,121.
MLA	Sandeep, P.,et al."Monitoring of agricultural drought in semi-arid ecosystem of Peninsular India through indices derived from time-series CHIRPS and MODIS datasets".ECOLOGICAL INDICATORS 121(2021).