Multi-temporal change detection of seagrass beds using integrated Landsat TM/ETM+/OLI imageries in Cam Ranh Bay, Vietnam

Andréfouët, 2001, Change detection in shallow coral reef environments using Landsat 7 ETM+ data, Remote Sens. Environ., 78, 150, 10.1016/S0034-4257(01)00256-5

Andréfouët, 2003, Multi-site evaluation of IKONOS data for classification of tropical coral reef environments, Remote Sens. Environ., 88, 128, 10.1016/j.rse.2003.04.005

Barillé, 2010, Increase in seagrass distribution at Bourgneuf Bay (France) detected by spatial remote sensing, Aquat. Bot., 92, 185, 10.1016/j.aquabot.2009.11.006

Benediktsson, 1990, Neural network approaches versus statistical methods in classification of multisource remote sensing data, IEEE Trans. Geosci. Remote Sens., 28, 540, 10.1109/TGRS.1990.572944

Blakey, 2015, Supervised classification of benthic reflectance in shallow subtropical waters using a generalized pixel-based classifier across a time series, Remote Sens., 7, 5098, 10.3390/rs70505098

Botha, 2013, Increased spectral resolution enhances coral detection under varying water conditions, Remote Sens. Environ., 131, 247, 10.1016/j.rse.2012.12.021

Cabaço, 2008, The impact of sediment burial and erosion on seagrasses: a review, Estuar. Coast. Shelf Sci., 79, 354, 10.1016/j.ecss.2008.04.021

Carpenter, 1996, ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data, vol. 521, 529

Chen, 2011, Classification of rice cropping systems by empirical mode decomposition and linear mixture model for time-series MODIS 250m NDVI data in the Mekong Delta, Vietnam, Int. J. Remote Sens., 32, 5115, 10.1080/01431161.2010.494639

Congalton, 1991, A review of assessing the accuracy of classifications of remotely sensed data, Remote Sens. Environ., 37, 35, 10.1016/0034-4257(91)90048-B

Dai, 2011, Seagrass in Vietnam

Dai, 1999, The role of seagrass beds in Khanh Hoa province. The nursery grounds, 26

Dai, 2002

Duarte, 2002, The future of seagrass meadows, Environ. Conserv., 29, 192, 10.1017/S0376892902000127

Erftemeijer, 2006, Environmental impacts of dredging on seagrasses: a review, Mar. Pollut. Bull., 52, 1553, 10.1016/j.marpolbul.2006.09.006

Estacion, 1988, Growth rates and primary production of Enhalus acoroides (L.f.) role from Lag-it, North Bais Bay, the Philippines, Aquat. Bot., 29, 347, 10.1016/0304-3770(88)90078-2

Fallah-Adl, 1995, 12

Ferguson, 1997, Remote sensing and GIS analysis of seagrass meadows in North Carolina, USA, Aquat. Bot., 58, 241, 10.1016/S0304-3770(97)00038-7

Fortes, 1990

Fourqurean, 2012, Seagrass ecosystems as a globally significant carbon stock, Nat. Geosci., 5, 505, 10.1038/ngeo1477

Gokul, 2014, Modeling the inherent optical properties and estimating the constituents' concentrations in turbid and eutrophic waters, Cont. Shelf Res., 84, 120, 10.1016/j.csr.2014.05.013

Green, 2003

Green, 1996, A review of remote sensing for the assessment and management of tropical coastal resources, Coast. Manag., 24, 1, 10.1080/08920759609362279

Green, 2000

Heck, 2003, Critical evaluation of the nursery role hypothesis for seagrass meadows, Mar. Ecol. Prog. Ser., 253, 123, 10.3354/meps253123

Heinz, 2001, Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery, Geoscience and Remote Sensing, IEEE Transactions on, 39, 529, 10.1109/36.911111

Hoa, 2009

Hochberg, 2003, Spectral reflectance of coral reef bottom-types worldwide and implications for coral reef remote sensing, Remote Sens. Environ., 85, 159, 10.1016/S0034-4257(02)00201-8

Khanh Hoa Statistical Yearbook, 2011

Komatsu, 2003, Use of multi-beam sonar to map seagrass beds in Otsuchi Bay on the Sanriku Coast of Japan, Aquat. Living Resour., 16, 223, 10.1016/S0990-7440(03)00045-7

Komatsu, 2003, Hydro-acoustic methods as a practical tool for cartography of seagrass beds, Otsuchi Marine Science, 28, 72

Long, 2011

Lyons, 2012, Long term land cover and seagrass mapping using Landsat and object-based image analysis from 1972 to 2010 in the coastal environment of South East Queensland, Australia, ISPRS J. Photogramm. Remote Sens., 71, 34, 10.1016/j.isprsjprs.2012.05.002

Lyzenga, 1981, Remote sensing of bottom reflectance and water attenuation parameters in shallow water using aircraft and Landsat data, Int. J. Remote Sens., 2, 71, 10.1080/01431168108948342

Mumby, 2002, Mapping marine environments with IKONOS imagery: enhanced spatial resolution can deliver greater thematic accuracy, Remote Sens. Environ., 82, 248, 10.1016/S0034-4257(02)00041-X

Mumby, 1997, Measurement of seagrass standing crop using satellite and digital airborne remote sensing, Mar. Ecol. Prog. Ser., 159, 51, 10.3354/meps159051

Mumby, 1998, Benefits of water column correction and contextual editing for mapping coral reefs, Int. J. Remote Sens., 19, 203, 10.1080/014311698216521

Mumby, 1999, The cost-effectiveness of remote sensing for tropical coastal resources assessment and management, J. Environ. Manag., 55, 157, 10.1006/jema.1998.0255

Pasqualini, 2005, Use of SPOT 5 for mapping seagrasses: an application to Posidonia oceanica, Remote Sens. Environ., 94, 39, 10.1016/j.rse.2004.09.010

Pham, 2006

Philpot, 1989, Bathymetric mapping with passive multispectral imagery, Appl. Opt., 28, 1569, 10.1364/AO.28.001569

Phinn, 2008, Mapping seagrass species, cover and biomass in shallow waters: an assessment of satellite multi-spectral and airborne hyper-spectral imaging systems in Moreton Bay (Australia), Remote Sens. Environ., 112, 3413, 10.1016/j.rse.2007.09.017

Pu, 2014, Mapping and assessing seagrass bed changes in Central Florida's west coast using multitemporal Landsat TM imagery, Estuar. Coast. Shelf Sci., 149, 68, 10.1016/j.ecss.2014.07.014

Ren, 2000

Sagawa, 2010, Using bottom surface reflectance to map coastal marine areas: a new application method for Lyzenga's model, Int. J. Remote Sens., 31, 3051, 10.1080/01431160903154341

Sagawa, 2012

Schroeder, 2006, Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon, Remote Sens. Environ., 103, 16, 10.1016/j.rse.2006.03.008

Short, 2010

Short, 2001, Chapter 1 - global seagrass distribution, 5-XX

Spalding, 2014, The role of ecosystems in coastal protection: adapting to climate change and coastal hazards, Ocean Coast. Manag., 90, 50, 10.1016/j.ocecoaman.2013.09.007

Stapel, 1996, Nutrient uptake by leaves and roots of the seagrass Thalassia hemprichii in the Spermonde Archipelago, Indonesia, Mar. Ecol. Prog. Ser., 134, 195, 10.3354/meps134195

Thornton, 2006, Sub-pixel mapping of rural land cover objects from fine spatial resolution satellite sensor imagery using super-resolution pixel-swapping, Int. J. Remote Sens., 27, 473, 10.1080/01431160500207088

Thu, 2013, Assessment of environmental capacity of Thuy Trieu-Cam Ranh waters, J. Mar. Sci. Technol., 13, 371

Valle, 2015, Mapping estuarine habitats using airborne hyperspectral imagery, with special focus on seagrass meadows, Estuar. Coast. Shelf Sci., 164, 433, 10.1016/j.ecss.2015.07.034

Vapnik, 1995

Vo, 2013, Status and trends in coastal habitats of the South China Sea, Ocean Coast. Manag., 85, 153, 10.1016/j.ocecoaman.2013.02.018

Vonk, 2008, Dissolved organic nitrogen uptake by seagrasses, Limnol. Oceanogr., 53, 542, 10.4319/lo.2008.53.2.0542

Vy, 2010, 64

Wabnitz, 2008, Regional-scale seagrass habitat mapping in the Wider Caribbean region using Landsat sensors: applications to conservation and ecology, Remote Sens. Environ., 112, 3455, 10.1016/j.rse.2008.01.020

Walker, 1996, Satellite assessment of Mississippi River plume variability: causes and predictability, Remote Sens. Environ., 58, 21, 10.1016/0034-4257(95)00259-6

Walker, 1992, Seagrass degradation in Australian coastal waters, Mar. Pollut. Bull., 25, 191, 10.1016/0025-326X(92)90224-T

Yang, 2011, Detection of seagrass in optical shallow water with Quickbird in the Xincun Bay, Hainan province, China, Image Processing, IET, 5, 363, 10.1049/iet-ipr.2009.0392