[1]
|
Abileah R, 2013. Mapping near shore bathymetry using wave kinematics in a time series of WorldView-2 satellite images. Proceesings of 2013 IEEE International Geoscience and Re-mote Sensing Symposium (IGARSS). Melbourne, VIC:IEEE, 2274-2277. doi: 10.1109/IGARSS.2013.6723271 |
[2]
|
Benny A H, Dawson G J, 1983. Satellite imagery as an aid to bathymetric charting in the Red Sea. The Cartographic Journal, 20(1):5-16. doi: 10.1179/caj.1983.20.1.5 |
[3]
|
Bierwirth P N, Lee T J, Burne R V, 1993. Shallow sea-floor reflectance and water depth derived by unmixing multispectral imagery. Photogrammetric Engineering and Remote Sensing, 59(3):331-338. |
[4]
|
Clark R K, Fay T H, Walker C L, 1987. A comparison of models for remotely sensed bathymetry. MS, USA:Naval Ocean Re-search and Development Activity Stennis Space Center, AD-A197973. |
[5]
|
Clarke G L, James H R, 1939. Laboratory analysis of the selective absorption of light by sea water. Journal of the Optical Society of America, 29(2):43-55. doi:10.1364/JOSA.29. 000043 |
[6]
|
Curcio J A, Petty C C, 1951. The near infrared absorption spec-trum of liquid water. Journal of the Optical Society of America, 41(5):302-304. doi: 10.1364/JOSA.41.000302 |
[7]
|
Di Kaichang, Ding Qian, Chen Wei et al., 1999. Shallow water depth extraction and chart production from TM images in Nansha Islands and nearby sea area. Remote Sensing for Land and Resources, 3:59-64. (in Chinese) |
[8]
|
Eugenio F, Marcello J, Martin J, 2015. High-resolution maps of bathymetry and benthic habitats in shallow-water environments using multispectral remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, 53(7):3539-3549. doi: 10.1109/TGRS.2014.2377300 |
[9]
|
Figueiredo I N, Pinto L, Gonçalves G, 2016. A modified Lyz-enga's model for multispectral bathymetry using Tikhonov regularization. IEEE Geoscience and Remote Sensing Letters, 13(1):53-57. doi: 10.1109/LGRS.2015.2496401 |
[10]
|
Flener C, Lotsari E, Alho P et al., 2012. Comparison of empirical and theoretical remote sensing based bathymetry models in river environments. River Research and Applications, 28(1):118-133. doi: 10.1002/rra.1441 |
[11]
|
Gitelson A, 1992. The peak near 700 nm on radiance spectra of algae and water:relationships of its magnitude and position with chlorophyll concentration. International Journal of Remote Sensing, 13(17):3367-3373. doi:10.1080/014311692 08904125 |
[12]
|
Gordon H R, 1979. Diffuse reflectance of the ocean:the theory of its augmentation by chlorophyll a fluorescence at 685 nm. Ap-plied Optics, 18(8):1161-1166. doi: 10.1364/AO.18.001161 |
[13]
|
Huang R Y, Yu K F, Wang Y H et al., 2017. Bathymetry of the coral reefs of Weizhou Island based on multispectral satellite images. Remote Sensing, 9(7):750. doi: 10.3390/rs9070750 |
[14]
|
Jawak S D, Vadlamani S S, Luis A J, 2015. A synoptic review on deriving bathymetry information using remote sensing tech-nologies:models, methods and comparisons. Advances in Re-mote Sensing, 4(2):57480. doi: 10.4236/ars.2015.42013 |
[15]
|
Jay S, Guillaume M, Minghelli A et al., 2017. Hyperspectral re-mote sensing of shallow waters:considering environmental noise and bottom intra-class variability for modeling and in-version of water reflectance. Remote Sensing of Environment, 200:352-367. doi: 10.1016/j.rse.2017.08.020 |
[16]
|
Johnson S Y, Cochrane G R, Golden N E et al., 2017. The Cali-fornia seafloor and coastal mapping program:providing science and geospatial data for California's State waters. Ocean and Coastal Management, 140:88-104. doi:10.1016/j. oce-coaman.2017.02.004 |
[17]
|
Lee Z, Hu C, Arnone R et al., 2012. Impact of sub-pixel variations on ocean color remote sensing products. Optics Express, 20(19):20844-20854. doi: 10.1364/OE.20.020844 |
[18]
|
Li Jiabiao, 1999. Principles, Technology and Methods of Multi-beam Survey. Beijing:China Ocean Press. (in Chinese) |
[19]
|
Li J R, Zhang H G, Hou P F et al., 2016. Mapping the bathymetry of shallow coastal water using single-frame fine-resolution op-tical remote sensing imagery. Acta Oceanologica Sinica, 35(1):60-66. doi: 10.1007/s13131-016-0797-x |
[20]
|
Li Qingquan, Lu Yi, Hu Shuibo et al., 2016. Review of remotely sensed geo-environmental monitoring of coastal zones. Journal of Remote Sensing, 20(5):1216-1229. (in Chinese) |
[21]
|
Li Xian, Chen Shengbo, Wang Xuhui et al., 2008. Study based on radioactive transfer model of the quantitative remote sensing of water bottom reflectance. Journal of Jilin University (Earth Science Edition), 38(S1):235-237. (in Chinese) |
[22]
|
Lu Tianqi, Chen Shengbo, Guo Tiantian et al., 2016. Offshore bathymetry retrieval from SPOT-6 image. Journal of Marine Sciences, 34(3):51-56. (in Chinese) |
[23]
|
Lyzenga D R, 1978. Passive remote sensing techniques for map-ping water depth and bottom features. Applied Optics, 17(3):379-383. doi: 10.1364/AO.17.000379 |
[24]
|
Lyzenga D R, 1979. Shallow-water reflectance modeling with applications to remote sensing of the ocean floor. Proceedings of the 13th International Symposium on Remote Sensing of Environment. Ann Arbor, Michigan:Environmental Research Institute of Michigan, 583-602. |
[25]
|
Lyzenga D R, 1981. Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data. International Journal of Remote Sensing, 2(1):71-82. doi: 10.1080/01431168108948342 |
[26]
|
Manessa M D M, Kanno A, Sagawa T et al., 2018. Simulation-based investigation of the generality of Lyzenga's multispectral bathymetry formula in Case-1 coral reef water. Estuarine, Coastal and Shelf Science, 200:81-90. doi:10.1016/j.ecss. 2017.10.014 |
[27]
|
Mgengel V, Spitzer R J, 1991. Application of remote sensing data to mapping of shallow sea-floor near by Netherlands. Interna-tional Journal of Remote Sensing, 57(5):473-479. |
[28]
|
Odermatt D, Gitelson A, Brando V E et al., 2012. Review of con-stituent retrieval in optically deep and complex waters from satellite imagery. Remote Sensing of Environment, 118:116-126. doi: 10.1016/j.rse.2011.11.013 |
[29]
|
Paredes J M, Spero R E, 1983. Water depth mapping from passive remote sensing data under a generalized ratio assumption. Applied Optics, 22(8):1134-1135. doi:10.1364/AO.22. 001134 |
[30]
|
Poupardin A, Idier D, de Michele M D et al., 2016. Water depth inversion from a single SPOT-5 dataset. IEEE Transactions on Geoscience and Remote Sensing, 54(4):2329-2342, doi: 10.1109/TGRS.2015.2499379 |
[31]
|
Salama M S, Verhoef W, 2015. Two-stream remote sensing model for water quality mapping:2SeaColor. Remote Sensing of Environment, 157:111-122. doi: 10.1016/j.rse.2014.07.022 |
[32]
|
Sandidge J C, Holyer R J, 1998. Coastal bathymetry from hyper-spectral observations of water radiance. Remote Sensing of Environment, 65(3):341-352. doi:10.1016/S0034-4257(98) 00043-1 |
[33]
|
Shu Xiaozhou, Yin Qiu, Kuang Dingbo, 2000. Relationship be-tween algal chlorophyll concentration and spectral reflectance of inland water. Journal of Remote Sensing, 4(1):41-45. (in Chinese) |
[34]
|
Su H B, Liu H X, Heyman W D, 2008. Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model. Marine Geodesy, 31(4):281-298. doi: 10.1080/01490410802466652 |
[35]
|
Su H B, Liu H X, Wang L et al., 2014. Geographically adaptive inversion model for improving bathymetric retrieval from sat-ellite multispectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 52(1):465-476. doi:10.1109/TGRS. 2013.2241772 |
[36]
|
Su H B, Liu H X, Wu Q S, 2015. Prediction of water depth from multispectral satellite imagery-the regression Kriging alter-native. IEEE Geoscience and Remote Sensing Letters, 12(12):2511-2515. doi: 10.1109/LGRS.2015.2489678 |
[37]
|
Zhao Jianhu, Liu Jingnan, 2008. Multi-beam Sounding Technology and Image Data Processing. Wuhan:Wuhan University Press. (in Chinese)es G, 2016. A modified Lyz-enga's model for multispectral bathymetry using Tikhonov regularization. IEEE Geoscience and Remote Sensing Letters, 13(1):53-57. doi: 10.1109/LGRS.2015.2496401 |
[38]
|
Flener C, Lotsari E, Alho P et al., 2012. Comparison of empirical and theoretical remote sensing based bathymetry models in river environments. River Research and Applications, 28(1):118-133. doi: 10.1002/rra.1441 |
[39]
|
Gitelson A, 1992. The peak near 700 nm on radiance spectra of algae and water:relationships of its magnitude and position with chlorophyll concentration. International Journal of Remote Sensing, 13(17):3367-3373. doi:10.1080/014311692 08904125 |
[40]
|
Gordon H R, 1979. Diffuse reflectance of the ocean:the theory of its augmentation by chlorophyll a fluorescence at 685 nm. Ap-plied Optics, 18(8):1161-1166. doi: 10.1364/AO.18.001161 |
[41]
|
Huang R Y, Yu K F, Wang Y H et al., 2017. Bathymetry of the coral reefs of Weizhou Island based on multispectral satellite images. Remote Sensing, 9(7):750. doi: 10.3390/rs9070750 |
[42]
|
Jawak S D, Vadlamani S S, Luis A J, 2015. A synoptic review on deriving bathymetry information using remote sensing tech-nologies:models, methods and comparisons. Advances in Re-mote Sensing, 4(2):57480. doi: 10.4236/ars.2015.42013 |
[43]
|
Jay S, Guillaume M, Minghelli A et al., 2017. Hyperspectral re-mote sensing of shallow waters:considering environmental noise and bottom intra-class variability for modeling and in-version of water reflectance. Remote Sensing of Environment, 200:352-367. doi: 10.1016/j.rse.2017.08.020 |
[44]
|
Johnson S Y, Cochrane G R, Golden N E et al., 2017. The Cali-fornia seafloor and coastal mapping program:providing science and geospatial data for California's State waters. Ocean and Coastal Management, 140:88-104. doi:10.1016/j. oce-coaman.2017.02.004 |
[45]
|
Lee Z, Hu C, Arnone R et al., 2012. Impact of sub-pixel variations on ocean color remote sensing products. Optics Express, 20(19):20844-20854. doi: 10.1364/OE.20.020844 |
[46]
|
Li Jiabiao, 1999. Principles, Technology and Methods of Multi-beam Survey. Beijing:China Ocean Press. (in Chinese) |
[47]
|
Li J R, Zhang H G, Hou P F et al., 2016. Mapping the bathymetry of shallow coastal water using single-frame fine-resolution op-tical remote sensing imagery. Acta Oceanologica Sinica, 35(1):60-66. doi: 10.1007/s13131-016-0797-x |
[48]
|
Li Qingquan, Lu Yi, Hu Shuibo et al., 2016. Review of remotely sensed geo-environmental monitoring of coastal zones. Journal of Remote Sensing, 20(5):1216-1229. (in Chinese) |
[49]
|
Li Xian, Chen Shengbo, Wang Xuhui et al., 2008. Study based on radioactive transfer model of the quantitative remote sensing of water bottom reflectance. Journal of Jilin University (Earth Science Edition), 38(S1):235-237. (in Chinese) |
[50]
|
Lu Tianqi, Chen Shengbo, Guo Tiantian et al., 2016. Offshore bathymetry retrieval from SPOT-6 image. Journal of Marine Sciences, 34(3):51-56. (in Chinese) |
[51]
|
Lyzenga D R, 1978. Passive remote sensing techniques for map-ping water depth and bottom features. Applied Optics, 17(3):379-383. doi: 10.1364/AO.17.000379 |
[52]
|
Lyzenga D R, 1979. Shallow-water reflectance modeling with applications to remote sensing of the ocean floor. Proceedings of the 13th International Symposium on Remote Sensing of Environment. Ann Arbor, Michigan:Environmental Research Institute of Michigan, 583-602. |
[53]
|
Lyzenga D R, 1981. Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data. International Journal of Remote Sensing, 2(1):71-82. doi: 10.1080/01431168108948342 |
[54]
|
Manessa M D M, Kanno A, Sagawa T et al., 2018. Simulation-based investigation of the generality of Lyzenga's multispectral bathymetry formula in Case-1 coral reef water. Estuarine, Coastal and Shelf Science, 200:81-90. doi:10.1016/j.ecss. 2017.10.014 |
[55]
|
Mgengel V, Spitzer R J, 1991. Application of remote sensing data to mapping of shallow sea-floor near by Netherlands. Interna-tional Journal of Remote Sensing, 57(5):473-479. |
[56]
|
Odermatt D, Gitelson A, Brando V E et al., 2012. Review of con-stituent retrieval in optically deep and complex waters from satellite imagery. Remote Sensing of Environment, 118:116-126. doi: 10.1016/j.rse.2011.11.013 |
[57]
|
Paredes J M, Spero R E, 1983. Water depth mapping from passive remote sensing data under a generalized ratio assumption. Applied Optics, 22(8):1134-1135. doi:10.1364/AO.22. 001134 |
[58]
|
Poupardin A, Idier D, de Michele M D et al., 2016. Water depth inversion from a single SPOT-5 dataset. IEEE Transactions on Geoscience and Remote Sensing, 54(4):2329-2342, doi: 10.1109/TGRS.2015.2499379 |
[59]
|
Salama M S, Verhoef W, 2015. Two-stream remote sensing model for water quality mapping:2SeaColor. Remote Sensing of Environment, 157:111-122. doi: 10.1016/j.rse.2014.07.022 |
[60]
|
Sandidge J C, Holyer R J, 1998. Coastal bathymetry from hyper-spectral observations of water radiance. Remote Sensing of Environment, 65(3):341-352. doi:10.1016/S0034-4257(98) 00043-1 |
[61]
|
Shu Xiaozhou, Yin Qiu, Kuang Dingbo, 2000. Relationship be-tween algal chlorophyll concentration and spectral reflectance of inland water. Journal of Remote Sensing, 4(1):41-45. (in Chinese) |
[62]
|
Su H B, Liu H X, Heyman W D, 2008. Automated derivation of bathymetric information from multi-spectral satellite imagery using a non-linear inversion model. Marine Geodesy, 31(4):281-298. doi: 10.1080/01490410802466652 |
[63]
|
Su H B, Liu H X, Wang L et al., 2014. Geographically adaptive inversion model for improving bathymetric retrieval from sat-ellite multispectral imagery. IEEE Transactions on Geoscience and Remote Sensing, 52(1):465-476. doi:10.1109/TGRS. 2013.2241772 |
[64]
|
Su H B, Liu H X, Wu Q S, 2015. Prediction of water depth from multispectral satellite imagery-the regression Kriging alter-native. IEEE Geoscience and Remote Sensing Letters, 12(12):2511-2515. doi: 10.1109/LGRS.2015.2489678 |
[65]
|
Zhao Jianhu, Liu Jingnan, 2008. Multi-beam Sounding Technology and Image Data Processing. Wuhan:Wuhan University Press. (in Chinese) |
[66]
|
|