High-resolution multispectral satellite imagery for extracting bathymetric information of Antarctic shallow lakes

Shridhar D. Jawak; Alvarinho J. Luis

doi:10.1117/12.2222769

7 May 2016 High-resolution multispectral satellite imagery for extracting bathymetric information of Antarctic shallow lakes

Shridhar D. Jawak, Alvarinho J. Luis

Author Affiliations +

Proceedings Volume 9878, Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and Challenges; 987819 (2016) https://doi.org/10.1117/12.2222769
Event: SPIE Asia-Pacific Remote Sensing, 2016, New Delhi, India

Abstract

High-resolution pansharpened images from WorldView-2 were used for bathymetric mapping around Larsemann Hills and Schirmacher oasis, east Antarctica. We digitized the lake features in which all the lakes from both the study areas were manually extracted. In order to extract the bathymetry values from multispectral imagery we used two different models: (a) Stumpf model and (b) Lyzenga model. Multiband image combinations were used to improve the results of bathymetric information extraction. The derived depths were validated against the in-situ measurements and root mean square error (RMSE) was computed. We also quantified the error between in-situ and satellite-estimated lake depth values. Our results indicated a high correlation (R = 0.60~0.80) between estimated depth and in-situ depth measurements, with RMSE ranging from 0.10 to 1.30 m. This study suggests that the coastal blue band in the WV-2 imagery could retrieve accurate bathymetry information compared to other bands. To test the effect of size and dimension of lake on bathymetry retrieval, we distributed all the lakes on the basis of size and depth (reference data), as some of the lakes were open, some were semi frozen and others were completely frozen. Several tests were performed on open lakes on the basis of size and depth. Based on depth, very shallow lakes provided better correlation (≈ 0.89) compared to shallow (≈ 0.67) and deep lakes (≈ 0.48). Based on size, large lakes yielded better correlation in comparison to medium and small lakes.

Citation Download Citation

Shridhar D. Jawak and Alvarinho J. Luis "High-resolution multispectral satellite imagery for extracting bathymetric information of Antarctic shallow lakes", Proc. SPIE 9878, Remote Sensing of the Oceans and Inland Waters: Techniques, Applications, and Challenges, 987819 (7 May 2016); https://doi.org/10.1117/12.2222769

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