Multi-temporal mapping of seagrass cover, species and biomass: A semi-automated object based image analysis approach-Reference-Cited by-同舟云学术

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Multi-temporal mapping of seagrass cover, species and biomass: A semi-automated object based image analysis approach

Published:2014-07 Issue: Volume:150 Page:172-187
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Roelfsema Chris M.,Lyons Mitchell,Kovacs Eva M.,Maxwell Paul,Saunders Megan I.,Samper-Villarreal Jimena,Phinn Stuart R.

Funder

University of Queensland

CSIRO

Cooperative Research Centre Coastal Zone, Estuaries and Waterways Management

ARC Linkage Grant to Prof. J Marshall and Prof. S Phinn

UQ-UWA Collaborative Research Grant Prof. van Niel

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference44 articles.

1. Seagrass Depth Range and Water Quality in Southern Moreton Bay, Queensland, Australia;Abal;Marine and Freshwater Research,1996

2. Multi-Site Evaluation of Ikonos Data for Classification of Tropical Coral Reef Environments;Andréfouët;Remote Sensing of Environment,2003

3. Alternative Spatially Enhanced Integrative Techniques for Mapping Seagrass in Florida's Marine Ecosystem;Baumstark;International Journal of Remote Sensing,2013

4. Object Based Image Analysis for Remote Sensing;Blaschke;Journal of Photogrammetry and Remote Sensing,2010

5. Posidonia Oceanica Genetic and Biometry Mapping through High-Resolution Satellite Spectral Vegetation Indices and Sea-Truth Calibration;Borfecchia;International Journal of Remote Sensing,2013

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