Remote sensing for wetland classification: a comprehensive review-Reference-Cited by-同舟云学术

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Remote sensing for wetland classification: a comprehensive review

Published:2017-12-30 Issue:5 Volume:55 Page:623-658
ISSN:1548-1603
Container-title:GIScience & Remote Sensing
language:en
Short-container-title:GIScience & Remote Sensing

Author:

Mahdavi Sahel¹,Salehi Bahram¹,Granger Jean²,Amani Meisam¹,Brisco Brian³,Huang Weimin⁴

Affiliation:

1. C-CORE, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St John’s, NL A1B 3X5, Canada

2. C-CORE/ Department of Geography, Memorial University of Newfoundland Canada

3. Canada Centre for Remote Sensing, The Canada Center for Mapping and Earth Observation, Ottawa, ON K1S 5K2, Canada

4. Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St John’s, NL A1B 3X5, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/15481603.2017.1419602

Reference174 articles.

1. Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review

2. Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers

3. A Long-Term, High-Resolution Wetland Dataset over the Amazon Basin, Downscaled from a Multiwavelength Retrieval Using SAR Data

4. R.A. Fisher and the making of maximum likelihood 1912-1922

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