当前位置：
X-MOL 学术
›
Land Degrad. Dev.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Soil salinity prediction and mapping by machine learning regression in Central Mesopotamia, Iraq
Land Degradation & Development ( IF 4.7 ) Pub Date : 2018-09-27 , DOI: 10.1002/ldr.3148 Weicheng Wu 1 , Claudio Zucca 2 , Ahmad S. Muhaimeed 3 , Waleed M. Al-Shafie 4 , Ayad M. Fadhil Al-Quraishi 5 , Vinay Nangia 2 , Minqiang Zhu 1 , Guangping Liu 6
Land Degradation & Development ( IF 4.7 ) Pub Date : 2018-09-27 , DOI: 10.1002/ldr.3148 Weicheng Wu 1 , Claudio Zucca 2 , Ahmad S. Muhaimeed 3 , Waleed M. Al-Shafie 4 , Ayad M. Fadhil Al-Quraishi 5 , Vinay Nangia 2 , Minqiang Zhu 1 , Guangping Liu 6
Affiliation
Key Laboratory of Digital Land and Resources, East China University of Technology, Nanchang, Jiangxi, PR China 2 ICARDA (International Center for Agricultural Research in the Dry Areas), Rabat, Morocco College of Agriculture, University of Baghdad, Baghdad, Iraq GIS Division, Ministry of Agriculture, Baghdad, Iraq Earth Sciences Department, Faculty of Science, and Remote Sensing Center, University of Kufa, Kufa, Iraq Faculty of Science, East China University of Technology, Nanchang, Jiangxi, PR China Correspondence W. Wu, Key Laboratory of Digital Land and Resources, East ChinaUniversity of Technology, Nanchang, 330013 Jiangxi, PR China. Email: wuwc030903@sina.com; wuwch@ecit.cn Funding information East China University of Technology, Grant/ Award Number: DHTP2018001; Australian Agency for International Development, Grant/ Award Number: LWR/2009/034
更新日期：2018-09-27
京公网安备 11010802027423号