{"title":"利用高分辨率数据重新评估2000-2019年美国中部大陆干旱的影响","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":"{\"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}","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}
Revisiting the Impact of Drought Over Mid-Continent USA From 2000-2019 Using High Resolution Data
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.