Lathrop, R.G.[Richard G.],
Montesano, P.[Paul],
Haag, S.[Scott],
A Multi-scale Segmentation Approach to Mapping Seagrass Habitats Using
Airborne Digital Camera Imagery,
PhEngRS(72), No. 6, June 2006, pp. 665-676.
WWW Link.
0610
BibRef
Yang, D.,
Yang, Y.,
Yang, C.,
Zhao, J.,
Sun, Z.,
Detection of seagrass in optical shallow water with quickbird in the
Xincun Bay, Hainan province, China,
IET-IPR(5), No. 5, 2011, pp. 363-368.
DOI Link
1108
BibRef
Lyons, M.,
Phinn, S.R.,
Roelfsema, C.M.,
Integrating Quickbird Multi-Spectral Satellite and Field Data: Mapping
Bathymetry, Seagrass Cover, Seagrass Species and Change in Moreton Bay,
Australia in 2004 and 2007,
RS(3), No. 1, January 2011, pp. 42-64.
DOI Link
1203
BibRef
Lyons, M.B.[Mitchell B.],
Phinn, S.R.[Stuart R.],
Roelfsema, C.M.[Chris M.],
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,
PandRS(71), No. 1, July 2012, pp. 34-46.
Elsevier DOI
1208
Time series; Land cover; Seagrass; Landsat
BibRef
Pu, R.L.[Rui-Liang],
Bell, S.[Susan],
A protocol for improving mapping and assessing of seagrass abundance
along the West Central Coast of Florida using Landsat TM and EO-1
ALI/Hyperion images,
PandRS(83), No. 1, 2013, pp. 116-129.
Elsevier DOI
1308
Image optimization
BibRef
Hannam, M.[Michael],
Moskal, L.M.[L. Monika],
Terrestrial Laser Scanning Reveals Seagrass Microhabitat Structure on
a Tideflat,
RS(7), No. 3, 2015, pp. 3037-3055.
DOI Link
1504
BibRef
Toro-Farmer, G.[Gerardo],
Muller-Karger, F.E.[Frank E.],
Vega-Rodríguez, M.[Maria],
Melo, N.[Nelson],
Yates, K.[Kimberly],
Cerdeira-Estrada, S.[Sergio],
Herwitz, S.R.[Stanley R.],
Characterization of Available Light for Seagrass and Patch Reef
Productivity in Sugarloaf Key, Lower Florida Keys,
RS(8), No. 2, 2016, pp. 86.
DOI Link
1603
BibRef
Hamana, M.[Masahiro],
Komatsu, T.[Teruhisa],
Real-Time Classification of Seagrass Meadows on Flat Bottom with
Bathymetric Data Measured by a Narrow Multibeam Sonar System,
RS(8), No. 2, 2016, pp. 96.
DOI Link
1603
BibRef
Misbari, S.[Syarifuddin],
Hashim, M.[Mazlan],
Change Detection of Submerged Seagrass Biomass in Shallow Coastal
Water,
RS(8), No. 3, 2016, pp. 200.
DOI Link
1604
BibRef
Koedsin, W.[Werapong],
Intararuang, W.[Wissarut],
Ritchie, R.J.[Raymond J.],
Huete, A.[Alfredo],
An Integrated Field and Remote Sensing Method for Mapping Seagrass
Species, Cover, and Biomass in Southern Thailand,
RS(8), No. 4, 2016, pp. 292.
DOI Link
1604
BibRef
Traganos, D.[Dimosthenis],
Aggarwal, B.[Bharat],
Poursanidis, D.[Dimitris],
Topouzelis, K.[Konstantinos],
Chrysoulakis, N.[Nektarios],
Reinartz, P.[Peter],
Towards Global-Scale Seagrass Mapping and Monitoring Using Sentinel-2
on Google Earth Engine: The Case Study of the Aegean and Ionian Seas,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Corbí, H.[Hugo],
Riquelme, A.[Adrian],
Megías-Baños, C.[Clara],
Abellan, A.[Antonio],
3-D Morphological Change Analysis of a Beach with Seagrass Berm Using
a Terrestrial Laser Scanner,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Chen, Q.[Qi],
Yu, R.H.[Rui-Hong],
Hao, Y.L.[Yan-Ling],
Wu, L.[Linhui],
Zhang, W.X.[Wen-Xing],
Zhang, Q.[Qi],
Bu, X.[Xunan],
A New Method for Mapping Aquatic Vegetation Especially Underwater
Vegetation in Lake Ulansuhai Using GF-1 Satellite Data,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Dierssen, H.M.[Heidi M.],
Bostrom, K.J.[Kelley J.],
Chlus, A.[Adam],
Hammerstrom, K.[Kamille],
Thompson, D.R.[David R.],
Lee, Z.[Zhongping],
Pushing the Limits of Seagrass Remote Sensing in the Turbid Waters of
Elkhorn Slough, California,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Rahnemoonfar, M.[Maryam],
Yari, M.[Masoud],
Rahman, A.[Abdullah],
Kline, R.[Richard],
The First Automatic Method for Mapping the Pothole in Seagrass,
PBVS17(267-274)
IEEE DOI
1709
Adaptive optics, Image segmentation, Optical imaging,
Optical sensors, Remote sensing, Sonar, Wavelet, transforms
BibRef
Bakirman, T.,
Gumusay, M.U.,
Tuney, I.,
Mapping Of The Seagrass Cover Along The Mediterranean Coast Of Turkey
Using Landsat 8 Oli Images,
ISPRS16(B8: 1103-1105).
DOI Link
1610
BibRef
Urbanski, J.A.,
Using ArcGIS Model Builder for object-based image classification of
seagrass meadows,
OBIA06(xx-yy).
PDF File.
0607
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Waves, Ocean Waves, Wave Heights, Sea Surface Effects .