基于TVDI的东北地区春玉米干旱监测——以2018年为例  

Drought Monitoring of Spring Maize in Northeast China Based on TVDI——Taking the 2018 for Instance

作　　者：王一昊 武永峰[2] 张立亭[1] 张锦水 李崇瑞 张晓旭 WANG Yihao;WU Yongfeng;ZHANG Liting;ZHANG Jinshui;LI Chongrui;ZHANG Xiaoxu(College of Geomatics,East China University of Technology,Nanchang 330013,China;Institute of Environmental and Sustainable Development in Agriculture,Chinese Academy of Agricultural Sciences/Key Laboratory of Agricultural Environment,Ministry of Agriculture,Beijing 100081,China;Beijing Engineering Research Center for Global Land Remote Sensing Products/Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China)

机构地区：[1]东华理工大学测绘工程学院,江西南昌330013 [2]中国农业科学院农业环境与可持续发展研究所/农业部农业环境重点实验室,北京100081 [3]北京师范大学地理科学学部/北京市陆表遥感数据产品工程技术研究中心,北京100875

出　　处：《河南农业科学》2020年第3期167-180,共14页Journal of Henan Agricultural Sciences

基　　金：“十三五”重点研发计划子课题(2017YFD0300402-2)。

摘　　要：为探究不同植被指数计算的温度植被干旱指数(TVDI)用于东北春玉米干旱监测时受发育进程及农田环境影响的监测精度,选取干旱监测敏感性强、精度高的TVDI对东北春玉米生长季进行监测,揭示2018年东北春玉米生育期内干旱时空格局及其变化规律.基于重建的归一化植被指数(NDVI)、增强型植被指数(EVI)分别与经数字高程模型(DEM)矫正后的地表温度(LST)构建的2种植被指数LST-VI特征空间,计算2种温度植被干旱指数(TVDI-N、TVDI-E);利用特征空间拟合方程决定系数差异,确定TVDI-N、TVDI-E对干旱敏感的最佳监测时期及敏感性转换期;利用地面调查数据分析TVDI-N、TVDI-E受春玉米发育阶段、土壤质地、海拔高度、坡度等农田环境影响下的干旱监测精度.结果表明,春玉米生长前期,TVDI-N干边拟合方程决定系数持续高于TVDI-E,最大差值为0.44,最小差值为0.10,平均差值为0.23,TVDI-N和TVDI-E监测干旱等级与实测干旱等级的判对率均达到100.0%,TVDI-N监测干旱等级与实测干旱等级一致性高于TVDI-E 33.3个百分点,该阶段TVDI-N干旱监测敏感性强、精度高;春玉米生长中期,虽无明显出现一种特征空间干边拟合方程决定系数持续高于或持续低于另一种特征空间干边拟合方程决定系数情况,TVDI-N监测干旱等级与实测干旱等级的判对率低于TVDI-E 12.5个百分点,一致性检验结果则与TVDI-E相同,该阶段虽为两者敏感性转换时期,但TVDI-E监测精度更高;春玉米生长后期,TVDI-N干边拟合方程决定系数持续低于TVDI-E,最大差值为0.29,最小差值为0.13,平均差值为0.18,TVDI-E监测干旱等级与实测干旱等级判对率和一致性分别高于TVDI-N 8.7个百分点和39.2个百分点,该阶段TVDI-E干旱监测敏感性强、精度高.利用春玉米各发育阶段监测精度高的TVDI对2018年春玉米生长季干旱进行监测,得到研究区2018年2次严重干旱事件的发生、发展和减In order to explore the difference of sensitivity and accuracy of temperature vegetation drought index(TVDI)calculated by different vegetation indices in monitoring spring maize drought affected by the development process and farmland environment,and to reveal the spatial-temporal pattern in drought and its variation during the growing period of spring maize of northeast China in 2018,TVDI with strong sensitivity and high accuracy was selected to monitor drought of spring maize in the growing season.Based on the reconstruction of normalized difference vegetation index(NDVI),enhanced vegetation index(EVI)and land surface temperature(LST)which was corrected by digital elevation model(DEM),LST-VI was constructed,and temperature vegetation drought index(TVDI-N,TVDI-E)was calculated.Besides,the best monitoring period and sensitive translating period of TVDI-N and TVDI-E to monitor drought were determined by the difference of constant-coefficient.What’s more,according to ground survey,the data monitoring accuracies of TVDI-N and TVDI-E were analyzed that affected by the development stage of spring maize,soil texture,altitude,slope and other farmland environments.The results showed that,at the early growing stage of spring maize,the TVDI-N dry-edge fitting equation constant-coefficient was consistently higher than TVDI-E,the maximum difference was 0.44 while the minimum difference was 0.10,and the average difference was 0.23.The judgment ratio of TVDI-N and TVDI-E monitoring drought grade to the measured drought grade was 100.0%.However,the consistence between the TVDI-N monitored drought grade and the measured drought grade was 33.3 perentage points higher than TVDI-E,which meant that it owned stronger monitoring sensitivity and higher monitoring accuracy in this period.In the middle stage of spring maize growth,although there was no obvious feature space that one dry-edge fitting equation constant-coefficient was consistently higher or lower than another,the judgment ratio of TVDI-N monitoring drought grade was lowe

关 键 词：东北地区 春玉米 农业干旱 遥感监测 决定系数 干旱时空格局 温度植被干旱指数 

分 类 号：S513[农业科学—作物学]