中文摘要：

分析土壤相对湿度（RSM）与标准化植被指数（SVI）、站点农气灾情数据及产量数据的关系,探究土壤相对湿度对东北地区农业干旱的监测能力。结果表明：（1）土壤相对湿度与SVI有较好的相关关系,76%的站点能够通过0.05的检验;水分胁迫下,作物生长状态对土壤湿度的滞后时间为10天。（2）土壤相对湿度低于60时,超过58%的作物生长状态受到影响;土壤相对湿度低于35时,超过92%的作物生长状态受到影响。（3）土壤相对湿度对农气灾情数据记录的不同等级干旱的正确检测概率都超过了50%。（4）7月上旬土壤相对湿度和产量的相关关系最好。土壤相对湿度在东北地区农业干旱监测中具有较好的适用性,本文可为农业干旱监测提供理论支持。

英文摘要：

Soil moisture is an important factor affecting crop growth, development and production. Currently, the presence of a growing number of long-term soil moisture networks allowed users to obtain precise soil moisture data. Therefore, it is reasonable to consider soil moisture observation data as a potential approach for monitoring agricultural drought. In Northeast China, the soil moisture dataset at agro-meteorological stations is relatively complete. In order to study the ability of Relative Soil Moisture （RSM） monitoring agricultural drought, we firstly analyzed the correlation and lag time between relative soil moisture and Standardized Vegetation Index （SVI）, and investigated the response of crop growth state to soil moisture. Secondly, by the comparison between relative soil moisture and the drought disaster data recorded by the national agro-meteorological stations, we analyzed the probability of detection of relative soil moisture to drought disaster record data. Finally, the relationship between relative soil moisture and crop yield was analyzed. The results are as follows： （1） The RSM has good correlations with SVI in the growing season, 76% of the stations can pass the 0.05 test. Under water stress, SVI and RSM have the best correlation at 10-day lag. （2） Through the analysis of corresponding relationship between RSM and the 10-day lagged SVI, we point out that the RSM is able to depict the influence of different drought intensities on crop growth status. With the decrease of RSM, the effect on both the crop growth status and the probability are increasing. When RSM is below 60, more than 58% of the crop growth status was affected; When RSM is below 35, more than 92% of the crop growth status was affected. （3） The probabilities of detection of RSM on the different drought grades recorded by the national agro-meteorological stations are all more than 50%. But if we do not classify the RSM into drought grades, the probability of detection of RSM on moderate drought recorded by the nati