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Book:
Fine Resolution Remote Sensing of Species in Terrestrial and Coastal Ecosystems
Author:
Qi Chen / Tiit Kutser / Antoine Collin / Timothy A Warner
Publisher:
Routledge
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Books / Romance novel
Year:
2021
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Fine Resolution Remote Sensing of Species in Terrestrial and Coastal Ecosystems

Detailed and accurate information on the spatial distribution of individual species over large spatial extents and over multiple time periods is critical for rapid response and effective management of environmental change. The twenty-first century has witnessed a rapid development in both fine resolution sensors and statistical theories and techniques. These innovations hold great potential for improved accuracy of species mapping using remote sensing.

Fine Resolution Remote Sensing of Species in Terrestrial and Coastal Ecosystems is a collection of eight cutting-edge studies of fine spatial resolution remote sensing, including species mapping of biogenic and coral reefs, seagrasses, salt and freshwater marshes, and grasslands. The studies illustrate the power of fine resolution imagery for species identification, as well as the value of unmanned aerial vehicle (UAV) imagery as an ideal source of high-quality reference data at the species level. The studies also highlight the benefit of LiDAR (Light Detection and Ranging) data for species identification, and how this varies depending on the species of interest as well as the nature of the context in which the species is found. The broad range of applications explored in the book demonstrates the major contribution of remote sensing to species-level terrestrial and coastal ecosystem studies as well as the potential for future advances.

The chapters in this book were originally published as a special issue of the International Journal of Remote Sensing.

Qi Chen is Professor of Geography and Environment at the University of Hawaii at Mnoa, Honolulu, USA. His research focuses on the use of LiDAR, high spatial resolution remote sensing, statistical modelling, and artificial intelligence for environmental mapping and monitoring.

Tiit Kutser is Professor of Remote Sensing at the Estonian Marine Institute at the University of Tartu, Tallinn, Estonia. His research covers many different topics from mapping water quality parameters (including harmful algal blooms) in coastal and inland waters to benthic habitat (including coral reefs) mapping and the role of lakes in the global carbon cycle.

Antoine Collin is Associate Professor of Geography and Ecology at the Paris Sciences & Letters (PSL) Research University, Dinard, France. His research links the coastal natural and social sciences in the ocean-climate change. He maps and models coastal environments using high spatio-temporal resolution spaceborne, airborne, handborne, waterborne data, and machine learning.

Timothy A. Warner is Emeritus Professor of Geology and Geography at West Virginia University, Morgantown, USA. He served as editor in chief of the International Journal of Remote Sensing from 2014 to 2020. He is a Fellow of the American Society of Photogrammetry and Remote Sensing.

First published 2022

by Routledge

2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN

and by Routledge

605 Third Avenue, New York, NY 10158

Routledge is an imprint of the Taylor & Francis Group, an informa business

2022 Taylor & Francis

Chapter 6 2018 Dimitris Stratoulias, Heiko Balzter, Andrs Zlinszky and Viktor R. Tth. Originally published as Open Access.

With the exception of Chapter 6, no part of this book may be reprinted or reproduced or utilised in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers. For details on the rights for Chapter 6, please see the chapters Open Access footnote.

Trademark notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe.

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library

ISBN13: 978-1-032-04265-7 (hbk)

ISBN13: 978-1-032-04267-1 (pbk)

ISBN13: 978-1-003-19119-3 (ebk)

DOI: 10.4324/9781003191193

Typeset in Myriad Pro

by codeMantra

Publishers Note

The publisher accepts responsibility for any inconsistencies that may have arisen during the conversion of this book from journal articles to book chapters, namely the inclusion of journal terminology.

Disclaimer

Every effort has been made to contact copyright holders for their permission to reprint material in this book. The publishers would be grateful to hear from any copyright holder who is not here acknowledged and will undertake to rectify any errors or omissions in future editions of this book.

The chapters in this book were originally published in the International Journal of Remote Sensing, volume 39, issue 17 (2018). When citing this material, please use the original page numbering for each article, as follows:

Fine resolution remote sensing of species in terrestrial and coastal ecosystems
Qi Chen, Tiit Kutser, Antoine Collin and Timothy A. Warner
International Journal of Remote Sensing, volume 39, issue 17 (2018) pp. 55975599

Chapter 1

Mapping freshwater marsh species in the wetlands of Lake Okeechobee using very high-resolution aerial photography and lidar data
Caiyun Zhang, Sara Denka and Deepak R. Mishra
International Journal of Remote Sensing, volume 39, issue 17 (2018) pp. 56005618

Chapter 2

Satellite-based salt marsh elevation, vegetation height, and species composition mapping using the superspectral WorldView-3 imagery
Antoine Collin, Natasha Lambert and Samuel Etienne
International Journal of Remote Sensing, volume 39, issue 17 (2018) pp. 56195637

Chapter 3

Mapping semi-natural grassland communities using multi-temporal RapidEye remote sensing data
Christoph Raab, H. G. Stroh, B. Tonn, M. Meiner, N. Rohwer, N. Balkenhol and J. Isselstein
International Journal of Remote Sensing, volume 39, issue 17 (2018) pp. 56385659

Chapter 4

Very high-resolution mapping of emerging biogenic reefs using airborne optical imagery and neural network: the honeycomb worm (Sabellaria alveolata) case study
Antoine Collin, Stanislas Dubois, Camille Ramambason and Samuel Etienne
International Journal of Remote Sensing, volume 39, issue 17 (2018) pp. 56605675

Chapter 5

Very high resolution mapping of coral reef state using airborne bathymetric LiDAR surface-intensity and drone imagery
Antoine Collin, Camille Ramambason, Yves Pastol, Elisa Casella, Alessio Rovere, Lauric Thiault, Benot Espiau, Gilles Siu, Franck Lerouvreur, Nao Nakamura, James L. Hench, Russell J. Schmitt, Sally J. Holbrook, Matthias Troyer and Neil Davies
International Journal of Remote Sensing, volume 39, issue 17 (2018) pp. 56765688

Chapter 6

A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at Lake Balaton, Hungary
Dimitris Stratoulias, Heiko Balzter, Andrs Zlinszky and Viktor R. Tth

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