Digital Soil Mapping

Digital Soil Mapping
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DOI:
10.1081/e-ess3-120044271
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发表时间:
2018-10
期刊:
Handbook of Soil Sciences (Two Volume Set)
影响因子:
--
通讯作者:
M. R. P. Rad;N. Toomanian;F. Khormali
M. R. P. Rad;N. Toomanian;F. Khormali
中科院分区:
其他
文献类型:
--
作者:
M. R. P. Rad;N. Toomanian;F. Khormali

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数字土壤制图(DSM)作为土壤学的一个分支学科,于2003年由McBratny等提出。自那时以来,它见证了许多发展,并在全球一级作出了许多科学贡献。DSM旨在创建和填充通过实地和实验室观测收集的空间土壤信息,这些信息通过与环境数据的定量关系耦合在一起。输出包括预测和不确定性的栅格地图。提高了空间数据的可用性,如数字高程模型和卫星图像;提高了处理数据的计算能力;开发了数据挖掘工具和地理信息系统;全球对空间数据的需求日益增加,包括不确定性评估,是导致实地调查成功的一些因素。本文回顾了数字土壤制图的发展,包括时间、协变量、一些建模实例,以及迄今为止在伊朗进行的DSM研究。
Digital soil mapping (DSM),as one of the sub -disciplines of soil science, was first introduced in McBratny et al. in 2003. It has since then witnessed many developments and has had a lot of scientific contributions at the global level. DSM aims to create and populate spatial soil information collected through field and laboratory observations that are coupled through quantitative relationships with environmental data. The output involves raster maps of predictions and uncertainties. The enhanced availability of spatial data, such as digital elevation models and satellite images; the increasing computation power to process data; the development of data-mining tools and GIS; and increasing global demand for spatial data including uncertainty assessments are some of the factors that have led to the success of field.This paper reviews the development of digital soil mapping through time, the covariates, some modeling examples,and the DSM studies so far carried out in Iran.