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 wasconstructed,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 lower than that of TVDI-E about 12.5 percentage points and the uniformity was the same as TVDI-E.Though this stage was a sensitive transition period,however,TVDI-E monitoring accuracy was higher than TVDI-N. At the later stage of spring maize growth,the TVDI-N dry-edge fitting equation constant-coefficient was consistently lower than TVDI-E,and the maximum difference was 0.29 while the minimum difference was 0.13,the average difference was 0.18.The judgment ratio and uniformity of TVDI-E monitored drought grade and measured drought grade were higher than TVDI-N 8.7 percentage points and 39.2 percentage points.That meant,TVDI-E drought monitoring sensitivity and accuracy were higher than TVDI-N in this period.Using different TVDI which had higher monitoring accuracy in each development stage of spring maize to monitor drought in the growing season of spring maize in 2018,the process of occurrence, development and reduction of drought in 2018 and the influence of drought on the development stages of spring maize in the study area were undrstood.Besides,in early stage of spring maize growth judgment ratio reached 100. 0% and the uniformity reached 83.3%.The drought monitoring judgment ratio in middle and later stage of spring maize growth was also obtained.The judgment ratio reached 82.6% and the uniformity reached 78.3%.By analyzing the sensitivity and accuracy of TVDI-N and TVDI-E in drought monitoring at different developmental stages of spring maize,it came to the conclusion that TVDI-N was suitable for drought monitoring at early spring maize growth stage while TVDI-E was suitable for drought monitoring at middle and later spring maize growth stage. Based on the conclusion,a lasting drought monitoring was made in spring maize growing season of northeast China in 2018,which could reveal the spatial and temporal pattern of drought of spring maize and improve the monitoring accuracy.