In recent years, new demands and trends have emerged in the digital soil mapping (DSM) field: the range of applications as well as the range of users has become much diverse. Users of DSM include not only experts in soil science community but also those from relevant domains (e.g., hydrology, ecology). In addition, the rapid expansion of areas for DSM and the ever increasing spatial resolution of covariates call for an accelerated level of computation. These new trends have raised the bar for DSM software platforms. This paper presents CyberSoLIM, a prototype system to illustrate an idea of easy-of-use and high performance enabled cyber environment for DSM. CyberSoLIM is implemented to have five main features: (1) heuristic modeling, which allows digital soil mappers to construct DSM workflow easily; (2) visualized modeling with which the conceptual workflow of DSM is expressed by graphic icons; (3) workflow reuse, which increases the efficiency of DSM deployment; (4) online execution and high-performance computing, which can use the advantage of cyber infrastructure and high-performance computing; and (5) web service enabled, which provides effective and easy means to share and integrate models and algorithms. As an illustration of such environment, CyberSoLIM was used to infer the silt content in topsoil (0-20. cm) in China's Anhui Province. The case study confirms that software platform as illustrated by CyberSoLIM is easy to use and efficient in terms of mapping productivity.
Bibliographical noteFunding Information:
This study was funded by the National Natural Science Foundation of China ( 41431177 ), the Natural Science Research Program of Jiangsu ( 14KJA170001 ), the National Key Technology R&D Program (No. 2013BAC08B03-4 ), and the PAPD program of Jiangsu Higher Education Institutions ( 164320H116 ). The support received by A-Xing Zhu through the Vilas Associate Award, the Hammel Faculty Fellow, and the Manasse Chair Professorship from the University of Wisconsin-Madison is greatly appreciated. Cheng-Zhi Qin thanks the National Natural Science Foundation of China ( 41422109 ) for its support.
© 2015 Elsevier B.V.
- Digital soil mapping (DSM)
- Heuristic model building
- Online mapping system
- Parallel computing
- Visualized modeling