Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota-Reference-Cited by-同舟云学术

Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota

Published:2013-07-04 Issue:7 Volume:5 Page:3212-3238
ISSN:2072-4292
Container-title:Remote Sensing
language:en
Short-container-title:Remote Sensing

Author:

Corcoran Jennifer,Knight Joseph,Gallant Alisa

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Link

http://www.mdpi.com/2072-4292/5/7/3212/pdf

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4. The groundwater recharge function of small wetlands in the semi-arid northern prairies;Van der Kamp;Wetlands,1998

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