TY - GEN
T1 - Lyzenga multispectral bathymetry formula for Indonesian shallow coral reef
T2 - Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016
AU - Manessa, Masita Dwi Mandini
AU - Kanno, Ariyo
AU - Sekine, Masahiko
AU - Haidar, Muhammad
AU - Nurdin, Nurjannah
N1 - Funding Information:
The first author acknowledges support from the Indonesia Endowment Fund for Education (LPDP) by the Ministry of Finance. We would like to thank the Institute for Marine Research and Observation, the Indonesia Ministry of Fisheries and Marine Affairs for providing the Menjangan tidal and also Gondol Beach bathymetry and tidal data. We are very grateful to Eric J. Hochberg, and Marlina Nurlidiasari for allowing us to use their bottom spectral measurement data. This research was partially supported by a research grant of Kurita Water and Environment Foundation (No. 15B013).
Publisher Copyright:
© 2016 SPIE.
PY - 2016
Y1 - 2016
N2 - Until now, Indonesia only had a single large-scale bathymetry map (1:250.000) for the entire nation and detailed maps (1:50.000 or 1:25.000) of a few locations. A straightforward and cost-efficient bathymetry mapping of the Indonesian coral reef is urgently needed. To address this problem, we present a generalized multispectral bathymetry estimation formula that requires few field measurement data to adjust coefficients. The simulation dataset corresponding to the Indonesian coral reef and Worldview-2 Imagery spectral response was built to extract the coefficient. Then, the formula was validated using real Worldview-2 images from three shallow coral reef sites: the Gili Mantra islands, Menjangan Island, and Gondol Beach in Indonesia. During the evaluation of the dataset simulation, the formulated equation was tested; it achieved an adjusted R2 of 0.93 and an RMSR (Root Mean Square Residual) of 0.9 m. Such results show the good quality of our generalized bathymetry formula. Moreover, we tested the described formula using the imagery. The Gili islands shows that the best estimations of the depth corresponded to 0.62 and 1.5 m for R2 and RMSR, respectively. In the shallow areas, the depth estimation was accurate, but the error gradually increased with depth. The depth estimation for the Menjangan and Gondol sites failed (R2 ≤ 0.1), mostly because of a high image noise. In conclusion, the formula was able to estimate the depth accurately in a shallow water area using the least noisy image, but its error increased with depth.
AB - Until now, Indonesia only had a single large-scale bathymetry map (1:250.000) for the entire nation and detailed maps (1:50.000 or 1:25.000) of a few locations. A straightforward and cost-efficient bathymetry mapping of the Indonesian coral reef is urgently needed. To address this problem, we present a generalized multispectral bathymetry estimation formula that requires few field measurement data to adjust coefficients. The simulation dataset corresponding to the Indonesian coral reef and Worldview-2 Imagery spectral response was built to extract the coefficient. Then, the formula was validated using real Worldview-2 images from three shallow coral reef sites: the Gili Mantra islands, Menjangan Island, and Gondol Beach in Indonesia. During the evaluation of the dataset simulation, the formulated equation was tested; it achieved an adjusted R2 of 0.93 and an RMSR (Root Mean Square Residual) of 0.9 m. Such results show the good quality of our generalized bathymetry formula. Moreover, we tested the described formula using the imagery. The Gili islands shows that the best estimations of the depth corresponded to 0.62 and 1.5 m for R2 and RMSR, respectively. In the shallow areas, the depth estimation was accurate, but the error gradually increased with depth. The depth estimation for the Menjangan and Gondol sites failed (R2 ≤ 0.1), mostly because of a high image noise. In conclusion, the formula was able to estimate the depth accurately in a shallow water area using the least noisy image, but its error increased with depth.
KW - Coral Reef
KW - Indonesia
KW - Lyzenga
KW - Multispectral Bathymetry
KW - Simulation data
KW - Worldview-2
UR - http://www.scopus.com/inward/record.url?scp=85011271390&partnerID=8YFLogxK
U2 - 10.1117/12.2240550
DO - 10.1117/12.2240550
M3 - Conference contribution
AN - SCOPUS:85011271390
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2016
A2 - Aldred, Oscar
A2 - Nichol, Caroline
A2 - Bostater, Charles R.
A2 - Neyt, Xavier
PB - SPIE
Y2 - 26 September 2016 through 27 September 2016
ER -