{"title":"Revisiting the Impact of Drought Over Mid-Continent USA From 2000-2019 Using High Resolution Data","authors":"M. Mbuh","doi":"10.4018/ijagr.298301","DOIUrl":null,"url":null,"abstract":"Drought-associated water shortage a complicated hazard, and extreme weather and climate events have serious impacts on agricultural, ecological, and socio-economic activities in any society. This work focuses on drought analysis using a high-resolution remote sensing and meteorological dataset from MODIS’s NDVI and LST to evaluate the Spatio-temporal distribution drought events and intensities in three physiographic regions of the USA from 2000–2019. Results were compared with other remote-sensing-based drought indices, such as the temperature condition index (TCI), Vegetation Health index (VHI), and it was observed that the VCI and VHI, which was a combination of vegetation and meteorological information, had a strong correlation with precipitation data than the NDVI-derived VCI. The results demonstrated the severity of vegetation stress and extreme droughts in 2000, 2006, 2011, and 2012. The long-term agricultural drought situation and compared with other drought indices, reveals a good agreement as to the TCI, VHI, and precipitation anomalies also decreased significantly.","PeriodicalId":43062,"journal":{"name":"International Journal of Applied Geospatial Research","volume":null,"pages":null},"PeriodicalIF":0.4000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Geospatial Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijagr.298301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
Drought-associated water shortage a complicated hazard, and extreme weather and climate events have serious impacts on agricultural, ecological, and socio-economic activities in any society. This work focuses on drought analysis using a high-resolution remote sensing and meteorological dataset from MODIS’s NDVI and LST to evaluate the Spatio-temporal distribution drought events and intensities in three physiographic regions of the USA from 2000–2019. Results were compared with other remote-sensing-based drought indices, such as the temperature condition index (TCI), Vegetation Health index (VHI), and it was observed that the VCI and VHI, which was a combination of vegetation and meteorological information, had a strong correlation with precipitation data than the NDVI-derived VCI. The results demonstrated the severity of vegetation stress and extreme droughts in 2000, 2006, 2011, and 2012. The long-term agricultural drought situation and compared with other drought indices, reveals a good agreement as to the TCI, VHI, and precipitation anomalies also decreased significantly.