IGSNRR OpenIR
updatingconventionalsoilmapsbyminingsoilenvironmentrelationshipsfromindividualsoilpolygons
Cheng Wei1; Zhu Axing1; Qin Chengzhi1; Qi Feng2
2019
Source Publicationjournalofintegrativeagriculture
ISSN2095-3119
Volume18Issue:2Pages:265
AbstractConventional soil maps contain valuable knowledge on soil-environment relationships. Such knowledge can be extracted for use when updating conventional soil maps with improved environmental data. Existing methods take all polygons of the same map unit on a map as a whole to extract the soil-environment relationship. Such approach ignores the difference in the environmental conditions represented by individual soil polygons of the same map unit. This paper proposes a method of mining soil-environment relationships from individual soil polygons to update conventional soil maps. The proposed method consists of three major steps. Firstly, the soil-environment relationships represented by each individual polygon on a conventional soil map are extracted in the form of frequency distribution curves for the involved environmental covariates. Secondly, for each environmental covariate, these frequency distribution curves from individual polygons of the same soil map unit are synthesized to form the overall soil-environment relationship for that soil map unit across the mapped area. And lastly, the extracted soil-environment relationships are applied to updating the conventional soil map with new, improved environmental data by adopting a soil land inference model (SoLIM) framework. This study applied the proposed method to updating a conventional soil map of the Raffelson watershed in La Crosse County, Wisconsin, United States. The result from the proposed method was compared with that from the previous method of taking all polygons within the same soil map unit on a map as a whole. Evaluation results with independent soil samples showed that the proposed method exhibited better performance and produced higher accuracy.
Language英语
Funding Project[National Natural Science Foundation of China] ; [Innovation Project of State Key Laboratory of Resources and Environmental Information System of China] ; [Outstanding Innovation Team in Colleges and Universities in Jiangsu Province, China] ; [Vilas Associate Award] ; [Hammel Faculty Fellow Award] ; [Manasse Chair Professorship from the University of Wisconsin-Madison]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/110902
Collection中国科学院地理科学与资源研究所
Affiliation1.中国科学院地理科学与资源研究所
2.肯恩大学
First Author Affilication中国科学院地理科学与资源研究所
Recommended Citation
GB/T 7714
Cheng Wei,Zhu Axing,Qin Chengzhi,et al. updatingconventionalsoilmapsbyminingsoilenvironmentrelationshipsfromindividualsoilpolygons[J]. journalofintegrativeagriculture,2019,18(2):265.
APA Cheng Wei,Zhu Axing,Qin Chengzhi,&Qi Feng.(2019).updatingconventionalsoilmapsbyminingsoilenvironmentrelationshipsfromindividualsoilpolygons.journalofintegrativeagriculture,18(2),265.
MLA Cheng Wei,et al."updatingconventionalsoilmapsbyminingsoilenvironmentrelationshipsfromindividualsoilpolygons".journalofintegrativeagriculture 18.2(2019):265.
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