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.
Introduction: Fine resolution remote sensing of species in terrestrial and coastal ecosystems
Qi Chen, Tiit Kutser, Antoine Collin and Timothy A. Warner
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
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
3. Mapping semi-natural grassland communities using multi-temporal RapidEye remote sensing data
Christoph Raab, H. G. Stroh, B. Tonn, M. Meißner, N. Rohwer, N. Balkenhol and J. Isselstein
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
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, Benoît Espiau, Gilles Siu, Franck Lerouvreur, Nao Nakamura, James L. Hench, Russell J. Schmitt, Sally J. Holbrook, Matthias Troyer and Neil Davies
6. A comparison of airborne hyperspectral-based classifications of emergent wetland vegetation at Lake Balaton, Hungary
Dimitris Stratoulias, Heiko Balzter, András Zlinszky and Viktor R. Tóth
7. Predicting macroalgal pigments (chlorophyll a, chlorophyll b, chlorophyll a + b, carotenoids) in various environmental conditions using high-resolution hyperspectral spectroradiometers
Ele Vahtmäe, Jonne Kotta, Helen Orav-Kotta, Ilmar Kotta, Merli Pärnoja and Tiit Kutser
8. Assessment of PlanetScope images for benthic habitat and seagrass species mapping in a complex optically shallow water environment
Pramaditya Wicaksono and Wahyu Lazuardi