five

Environmental Covariate Data for the Disaggregation of the Reconnaissance Soil Map of the Busia Area, Kenya

收藏
DataCite Commons2025-12-18 更新2025-04-16 收录
下载链接:
https://purr.purdue.edu/publications/3268/1
下载链接
链接失效反馈
官方服务:
资源简介:
<p>How can soil classes within a soil map unit be disaggregated? To answer this question, a soil landscape-rule based approach was used to disaggregate the soil map units by exploiting information in the map legend and the map unit descriptions. The descriptions often contain the mental soil landscape models used by the original soil surveyor(s) and were extracted from both the Busia soil survey report and soil class descriptions from the legend of the Soil Map of the World (FAO/UNESCO, 1974) and quantified by a set of rules. Second, a digital model must be developed that represents the landscape and environmental conditions of the original landscape. Environmental conditions of the study area were captured using six terrain attributes derived from a 30 m digital elevation model (DEM) in SAGA-GIS and parent material map extracted from the soil polygon map were used. Third, the rules that describe the locations of the different soil classes in the landscape must be applied to the digital model to place the soil classes in their most likely position(s) in the landscape.</p> <p>FAO-UNESCO. (1974). Soil Map of the World, 1:5,000,000. Vol. 1: Legend. UNESCO, Paris, France.</p>
提供机构:
Purdue University Research Repository
创建时间:
2019-11-08
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作