Moderate resolution imaging spectroradiometer （MODIS） data are very suitable for vast extent, long term and dynamic drought monitoring for its high temporal resolution, high spectral resolution and moderate spatial ...Moderate resolution imaging spectroradiometer （MODIS） data are very suitable for vast extent, long term and dynamic drought monitoring for its high temporal resolution, high spectral resolution and moderate spatial resolution. The composite Enhanced Vegetation Index （EVI） and composite land surface temperature （Ts） obtained from MODIS data MOD11A2 and MOD13A2 were used to construct the EVI-Ts space. And Temperature Vegetation Dryness Index （TVDI） was calculated to evaluate the agriculture drought in Guangxi province, China in October of 2006. The results showed that the drought area in Guangxi was evidently increasing and continuously deteriorating from the middle of September to the middle of November. The TVDI, coming from the EVI-Ts space, could effectively indicate the spatial distribution and temporal evolution of drought, so that it could provide a strong technical support for the forecasting agricultural drought in south China.展开更多
文摘台风是影响我国陆地生态系统结构和功能的主要自然灾害之一,尤其对东南沿海地区植被具有明显的干扰效应。为深入了解台风对我国沿海地区植被的影响及其响应,基于MODIS增强型植被指数(Enhanced Vegetation Index,EVI)和叶面积指数(Leaf Area Index,LAI),分析了2001—2019年间不同等级的台风对植被EVI和LAI的影响,评估台风登陆时植被的抵抗力及台风过后植被的恢复力。结果表明:(1)2001—2019年间,共有70个台风登陆我国东南沿海地区,其中,台风(TY)、强台风(STY)与超强台风(SuperTY)的数量分别为35、26和9个。我国台湾省的台风登陆次数最多,为26个,其次为广东省(20个);(2)在整个研究区范围内,台风(TY)、强台风(STY)与超强台风(SuperTY)登陆后的EVI净变化率分别为4.88%、-7.48%、-1.85%,LAI净变化率分别为22.28%、-65.70%、-17.60%;(3)在经历台风干扰后,沿海地区大部分植被可在3个月之内得到恢复,其中浙江省与广东省植被的恢复时间较长,海南省与台湾省植被的恢复时间较短。研究结果对我国沿海地区森林经营管理和生态环境保护具有重要意义。
基金the National Natural Science Foundation of China (40461001)
文摘Moderate resolution imaging spectroradiometer （MODIS） data are very suitable for vast extent, long term and dynamic drought monitoring for its high temporal resolution, high spectral resolution and moderate spatial resolution. The composite Enhanced Vegetation Index （EVI） and composite land surface temperature （Ts） obtained from MODIS data MOD11A2 and MOD13A2 were used to construct the EVI-Ts space. And Temperature Vegetation Dryness Index （TVDI） was calculated to evaluate the agriculture drought in Guangxi province, China in October of 2006. The results showed that the drought area in Guangxi was evidently increasing and continuously deteriorating from the middle of September to the middle of November. The TVDI, coming from the EVI-Ts space, could effectively indicate the spatial distribution and temporal evolution of drought, so that it could provide a strong technical support for the forecasting agricultural drought in south China.
