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Classification mapping of salt marsh vegetation by flexible monthly NDVI time-series using Landsat imagery

  • Published:2018-11 Issue: Volume:213 Page:61-80
  • ISSN:0272-7714
  • Container-title:Estuarine, Coastal and Shelf Science
  • language:en
  • Short-container-title:Estuarine, Coastal and Shelf Science

Author:

Sun ChaoORCID,Fagherazzi SergioORCID,Liu YongxueORCID

Funder

Jiangsu Provincial Natural Science Foundation

Natural Science Foundation of China-Zhejiang Joint Fund for the Integration of Industrialization and Informatization

National Science Foundation

Publisher

Elsevier BV

Subject

Aquatic Science,Oceanography

Reference64 articles.

1. A credit assignment approach to fusing classifiers of multiseason hyperspectral imagery;Bachmann;IEEE Trans. Geosci. Rem. Sens.,2003

2. Automatic Detection of an Invasive Plant Species on a Barrier Island in the Virginia Coast Reserve Using HYMAP and IKONOS Imagery;Bachmann,2001

3. An empirical comparison of voting classification algorithms: bagging, boosting, and variants;Bauer;Mach. Learn.,1999

4. Mapping salt-marsh vegetation by multispectral and hyperspectral remote sensing;Belluco;Remote Sens. Environ.,2006

5. A functional classification of wetland plants;Boutin;J. Veg. Sci.,1993

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