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Correction: Brodzik, M.J., et al. EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets. ISPRS International Journal of Geo-Information 2012, 1, 32–45
Open AccessArticle

Mapping VHR Water Depth, Seabed and Land Cover Using Google Earth Data

Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Ookayama 2-12-1-W8-13, Meguro-ku, Tokyo, 152-8552, Japan
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ISPRS Int. J. Geo-Inf. 2014, 3(4), 1157-1179; https://doi.org/10.3390/ijgi3041157
Received: 25 July 2014 / Revised: 14 October 2014 / Accepted: 15 October 2014 / Published: 23 October 2014
Google Earth (GE) provides very high resolution (VHR) natural-colored (red-green-blue, RGB) images based on commercial spaceborne sensors over worldwide coastal areas. GE is rarely used as a direct data source to address coastal issues despite the tremendous potential of data transferability. This paper describes an inexpensive and easy-to-implement methodology to construct a GE natural-colored dataset with a submeter pixel size over 44 km2 to accurately map the water depth, seabed and land cover along a seamless coastal area in subtropical Japan (Shiraho, Ishigaki Island). The valuation of the GE images for the three mapping types was quantified by comparison with directly-purchased images. We found that both RGB GE-derived mosaic and pansharpened QuickBird (QB) imagery yielded satisfactory results for mapping water depth (R2GE = 0.71 and R2QB = 0.69), seabed cover (OAGE = 89.70% and OAQB = 80.40%, n = 15 classes) and land cover (OAGE = 95.32% and OAQB = 88.71%, n = 11 classes); however, the GE dataset significantly outperformed the QB dataset for all three mappings (ZWater depth = 6.29, ZSeabed = 4.10, ZLand = 3.28, αtwo-tailed < 0.002). The integration of freely available elevation data into both RGB datasets significantly improved the land cover classification accuracy (OAGE = 99.17% and OAQB = 97.80%). Implications and limitations of our findings provide insights for the use of GE VHR data by stakeholders tasked with integrated coastal zone management. View Full-Text
Keywords: coastal mapping; bathymetry; Google Earth; QuickBird; very high resolution; visible coastal mapping; bathymetry; Google Earth; QuickBird; very high resolution; visible
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MDPI and ACS Style

Collin, A.; Nadaoka, K.; Nakamura, T. Mapping VHR Water Depth, Seabed and Land Cover Using Google Earth Data. ISPRS Int. J. Geo-Inf. 2014, 3, 1157-1179.

AMA Style

Collin A, Nadaoka K, Nakamura T. Mapping VHR Water Depth, Seabed and Land Cover Using Google Earth Data. ISPRS International Journal of Geo-Information. 2014; 3(4):1157-1179.

Chicago/Turabian Style

Collin, Antoine; Nadaoka, Kazuo; Nakamura, Takashi. 2014. "Mapping VHR Water Depth, Seabed and Land Cover Using Google Earth Data" ISPRS Int. J. Geo-Inf. 3, no. 4: 1157-1179.

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