Very high resolution (VHR) airborne data enable detection and physical measurements of individual coral reef colonies. The bathymetric LiDAR system, as an active remote sensing technique, accurately computes the coral reef ecosystem’s surface and reflectance using a single green wavelength at the decimetre scale over 1-to-100 km2 areas. A passive multispectral camera mounted on an airborne drone can build a blue-green-red (BGR) orthorectified mosaic at the centimetre scale over 0.01-to-0.1 km2 areas. A combination of these technologies is used for the first time here to map coral reef ecological state at the submeter scale. Airborne drone BGR values (0.03 m pixel size) serve to calibrate airborne bathymetric LiDAR surface and intensity data (0.5 m pixel size). A classification of five ecological states is then mapped through an artificial neural network (ANN). The classification was developed over a small area (0.01 km2) in the lagoon of Moorea Island (French Polynesia) at VHR (0.5 m pixel size) and then extended to the whole lagoon (46.83 km2). The ANN was first calibrated with 275 samples to determine the class of coral state through LiDAR-based predictors; then, the classification was validated through 135 samples, reaching a satisfactory performance (overall accuracy = 0.75).
Collin A., Ramambason C., Pastol Y., Casella E., Rovere A., Thiault L., Espiau B., Siu G., Lerouvreur F., Nakamura N., Hench J.L., Schmitt R.J., Holbrook S.J., Troyer M. and Davies N. (2018) Very high resolution mapping of coral reef state using airborne bathymetric LiDAR surface-intensity and drone imagery. International Journal of Remote Sensing 39(17): 5676-5688. 10.1080/01431161.2018.1500072
@article{Collin2018,
Title = {Very high resolution mapping of coral reef state using airborne bathymetric LiDAR surface-intensity and drone imagery},
Author = {Collin, Antoine and Ramambason, Camille and Pastol, Yves and Casella, Elisa and Rovere, Alessio and Thiault, Lauric and Espiau, Benoît and Siu, Gilles and Lerouvreur, Franck and Nakamura, Nao and Hench, James L. and Schmitt, Russell J. and Holbrook, Sally J. and Troyer, Matthias and Davies, Neil},
Editor = {},
Journal = {International Journal of Remote Sensing},
Year = {2018},
Pages = {5676-5688},
Volume = {39},
Doi = {10.1080/01431161.2018.1500072},
Abstract = {Very high resolution (VHR) airborne data enable detection and physical measurements of individual coral reef colonies. The bathymetric LiDAR system, as an active remote sensing technique, accurately computes the coral reef ecosystem’s surface and reflectance using a single green wavelength at the decimetre scale over 1-to-100 km2 areas. A passive multispectral camera mounted on an airborne drone can build a blue-green-red (BGR) orthorectified mosaic at the centimetre scale over 0.01-to-0.1 km2 areas. A combination of these technologies is used for the first time here to map coral reef ecological state at the submeter scale. Airborne drone BGR values (0.03 m pixel size) serve to calibrate airborne bathymetric LiDAR surface and intensity data (0.5 m pixel size). A classification of five ecological states is then mapped through an artificial neural network (ANN). The classification was developed over a small area (0.01 km2) in the lagoon of Moorea Island (French Polynesia) at VHR (0.5 m pixel size) and then extended to the whole lagoon (46.83 km2). The ANN was first calibrated with 275 samples to determine the class of coral state through LiDAR-based predictors; then, the classification was validated through 135 samples, reaching a satisfactory performance (overall accuracy = 0.75).},
}
TY - JOUR
AU - Collin, Antoine
AU - Ramambason, Camille
AU - Pastol, Yves
AU - Casella, Elisa
AU - Rovere, Alessio
AU - Thiault, Lauric
AU - Espiau, Benoît
AU - Siu, Gilles
AU - Lerouvreur, Franck
AU - Nakamura, Nao
AU - Hench, James L.
AU - Schmitt, Russell J.
AU - Holbrook, Sally J.
AU - Troyer, Matthias
AU - Davies, Neil
TI - Very high resolution mapping of coral reef state using airborne bathymetric LiDAR surface-intensity and drone imagery
T2 - International Journal of Remote Sensing
PY - 2018
SP - 5676-5688
VL - 39
DO - 10.1080/01431161.2018.1500072
AB - Very high resolution (VHR) airborne data enable detection and physical measurements of individual coral reef colonies. The bathymetric LiDAR system, as an active remote sensing technique, accurately computes the coral reef ecosystem’s surface and reflectance using a single green wavelength at the decimetre scale over 1-to-100 km2 areas. A passive multispectral camera mounted on an airborne drone can build a blue-green-red (BGR) orthorectified mosaic at the centimetre scale over 0.01-to-0.1 km2 areas. A combination of these technologies is used for the first time here to map coral reef ecological state at the submeter scale. Airborne drone BGR values (0.03 m pixel size) serve to calibrate airborne bathymetric LiDAR surface and intensity data (0.5 m pixel size). A classification of five ecological states is then mapped through an artificial neural network (ANN). The classification was developed over a small area (0.01 km2) in the lagoon of Moorea Island (French Polynesia) at VHR (0.5 m pixel size) and then extended to the whole lagoon (46.83 km2). The ANN was first calibrated with 275 samples to determine the class of coral state through LiDAR-based predictors; then, the classification was validated through 135 samples, reaching a satisfactory performance (overall accuracy = 0.75).
ER -
