中文摘要：

针对温度植被干旱指数（temperature vegetation dryness index,TVDI）计算复杂和重复实现等问题,采用Python语言实现了TVDI模型算法,并利用开源的网络地理信息系统（Web GIS）平台52°North包装成符合开放地理空间信息联盟（Open Geospatial Consortium,OGC）网络处理服务（WPS）规范的WPS,在网络上共享了基于TVDI算法的WPS。以2010年湖北省中分辨率成像光谱仪（moderate-resolution imaging spectroradiometer,MODIS）数据为例,对算法进行测试。结果表明,干湿边线性拟合整体效果较好,算法效率较高且运行稳定。服务的发布共享避免了科研中重复实现TVDI算法,有利于研究人员专注于干湿状况的分析研究,提高研究效率。

英文摘要：

A web processing service based on Open Geospatial Consortium（OGC）web processing service（WPS）specification was designed and shared by the open source network geospatial information system platform 52°North to figure out the problems of temperature vegetation drought index（TVDI）including complicated calculation and repeat to achieve.TVDI model algorithm was realized using the Python language programming.The MODIS data in 2010 in Hubei Province were used to test the algorithm.The results showed that the ensemble of dry and wet edges linear fitting was good.The operation of algorithm was stable with high efficiency.The release and sharing of TVDI WPS avoided the problems of complicated calculation and repeat to achieve.It will help the researchers to focus on analyzing/studying the dry and wet conditions,and improve the efficiency of study.