<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cui, Yaokui</style></author><author><style face="normal" font="default" size="100%">Wentao Xiong,</style></author><author><style face="normal" font="default" size="100%">Hu, Ling</style></author><author><style face="normal" font="default" size="100%">Liu, Ronghua</style></author><author><style face="normal" font="default" size="100%">Xi Chen</style></author><author><style face="normal" font="default" size="100%">Geng, Xiaozhuang</style></author><author><style face="normal" font="default" size="100%">Lv, Feng</style></author><author><style face="normal" font="default" size="100%">Fan, Wenjie</style></author><author><style face="normal" font="default" size="100%">Hong, Yang</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Applying a machine learning method to obtain long time and spatio-temporal continuous soil moisture over the Tibetan Plateau</style></title><secondary-title><style face="normal" font="default" size="100%">IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2019</style></year></dates><publisher><style face="normal" font="default" size="100%">IEEE</style></publisher><pages><style face="normal" font="default" size="100%">6986-6989</style></pages><isbn><style face="normal" font="default" size="100%">153869154X</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>