Soil property variation mapping through data mining of soil category maps-Reference-Cited by-同舟云学术

Soil property variation mapping through data mining of soil category maps

Published:2014-11-19 Issue:11 Volume:29 Page:2491-2503
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrol. Process.

Author:

Du Fei¹,Zhu A-Xing²³⁴¹,Band Lawrence⁵,Liu Jing¹

Affiliation:

1. Department of Geography; University of Wisconsin-Madison; Madison WI 53706 USA

2. School of Geographical Science; Nanjing Normal University; Nanjing Jiangsu 210023 China

3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application; Nanjing Jiangsu 210023 China

4. State Key Laboratory of Resources and Environmental Information System; Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences; Beijing 100101 China

5. Department of Geography and Institute for the Environment; University of North Carolina; Chapel Hill NC 27599 USA

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Chinese Academy of Sciences

Government of Jiangsu Province

Publisher

Wiley

Subject

Water Science and Technology

Reference46 articles.

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4. Remote- and ground-based sensor techniques to map soil properties;Barnes;Photogrammetric Engineering & Remote Sensing,2003

5. Runoff Production and Flood Frequency in Catchments of Order n: An Alternative Approach

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