Abstract
Drought is the meteorological phenomenon with the greatest impact on agriculture. Accordingly, drought forecasting is vital in lessening its associated negative impacts. Utilizing remote exploration in the agricultural sector allows for the collection of large amounts of quantitative data across a wide range of areas. In this study, we confirmed the applicability of drought assessment using the evaporative stress index (ESI) in major East Asian countries. The ESI is an indicator of agricultural drought that describes anomalies in actual/reference evapotranspiration (ET) ratios that are retrieved using remotely sensed inputs of land surface temperature (LST) and leaf area index (LAI). The ESI is available through SERVIR Global, a joint venture between the National Aeronautics and Space Administration (NASA) and the United States Agency for International Development (USAID). This study evaluated the performance of ESI in assessing drought events in South Korea. The evaluation of ESI is possible because of the availability of good statistical data. Comparing drought trends identified by ESI data from this study to actual drought conditions showed similar trends. Additionally, ESI reacted to the drought more quickly and with greater sensitivity than other drought indices. Our results confirmed that the ESI is advantageous for short and medium-term drought assessment compared to vegetation indices alone.
Highlights
Extreme drought events in recent decades have caused extensive damage to natural ecosystems and have contributed to lower agricultural productivity all over the world [1]
Using three kinds of indices: the Vegetation Index, the Evapotranspiration Index, and the Vegetation and Evapotranspiration Index, we identified drought trends in major East Asian countries, and confirmed that evaporative stress index (ESI) is more sensitive than other indices and can be used as a drought judgement index in East Asia
April to SDerpotuegmhbt einr,diincetshoebctaaisneeodffrCohminsaa,teflrloitme imAapgreilstwoeAreumguapstp,eadntdo ianstphaeticaal dseisotrfibTuatiiwonanto, fidroemntiJfaynuary to Mtaarcertcnuhda.ls.dTrhoue gidhet ntrteifnicdatsiuornvoefy.thIne trends for each country the case of South Korea was and focused on the period identified by the North Korea, the trend was confirmed fFoirgAupreril1tsohSoewptsemthbeerr,eisnutlhtse fcoarseSoofuCthhiKnao,rferaomanAdpNriol rtothAKuoguresat,.aFnidrsitnotfhaelcl,asSeooufthTaKiwoarena, ’fsrodmrought trendJasncuoanryfirtomMedartchhr.ough the spatial distribution map of each drought index are as follows
Summary
Extreme drought events in recent decades have caused extensive damage to natural ecosystems and have contributed to lower agricultural productivity all over the world [1]. It is very difficult to grasp the extent of the damage as well as the timing of the beginning and end of these droughts. It is difficult to objectively quantify drought characteristics such as intensity, geographical extent, and duration [5,6,7,8]. In evaluating drought, the occurrence and distribution of temporal and spatial patterns should be identified [9,10], and it is important to quantify drought conditions that reflect the characteristics of drought-affected areas [11,12,13]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
