1. Assessing agricultural drought in summer over Oklahoma Mesonet sites using the water-related vegetation index from MODIS
- Author
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Bajgain, Rajen, Xiao, Xiangming, Basara, Jeffrey, Wagle, Pradeep, Zhou, Yuting, Zhang, Yao, and Mahan, Hayden
- Subjects
Satellite Imagery ,Rain ,Water ,Agriculture ,Oklahoma ,Drought duration ,Droughts ,Atmospheric Sciences ,Other Physical Sciences ,Drought intensity ,Summer drought ,Public Health and Health Services ,Meteorology & Atmospheric Sciences ,Seasons ,Land surface water index ,Algorithms - Abstract
Agricultural drought, a common phenomenon in most parts of the world, is one of the most challenging natural hazards to monitor effectively. Land surface water index (LSWI), calculated as a normalized ratio between near infrared (NIR) and short-wave infrared (SWIR), is sensitive to vegetation and soil water content. This study examined the potential of a LSWI-based, drought-monitoring algorithm to assess summer drought over 113 Oklahoma Mesonet stations comprising various land cover and soil types in Oklahoma. Drought duration in a year was determined by the number of days with LSWI 80% (eastern Oklahoma) across regions. Our results illustrated that drought intensity thresholds can be established by counting DNLSWI (in days) and used as a simple complementary tool in several drought applications for semi-arid and semi-humid regions of Oklahoma. However, larger discrepancies between USDM and the LSWI-based algorithm in arid regions of western Oklahoma suggest the requirement of further adjustment in the algorithm for its application in arid regions.
- Published
- 2017