Marsh, Marsh Detection, Analysis

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Marsh. Classification.

Becker, R.H.[Richard H.],
The Stalled Recovery of the Iraqi Marshes,
RS(6), No. 2, 2014, pp. 1260-1274.
DOI Link 1403

O'Connell, J.L.[Jessica L.], Byrd, K.B.[Kristin B.], Kelly, M.[Maggi],
A Hybrid Model for Mapping Relative Differences in Belowground Biomass and Root: Shoot Ratios Using Spectral Reflectance, Foliar N and Plant Biophysical Data within Coastal Marsh,
RS(7), No. 12, 2015, pp. 15837.
DOI Link 1601

Cazals, C.[Cécile], Rapinel, S.[Sébastien], Frison, P.L.[Pierre-Louis], Bonis, A.[Anne], Mercier, G.[Grégoire], Mallet, C.[Clément], Corgne, S.[Samuel], Rudant, J.P.[Jean-Paul],
Mapping and Characterization of Hydrological Dynamics in a Coastal Marsh Using High Temporal Resolution Sentinel-1A Images,
RS(8), No. 7, 2016, pp. 570.
DOI Link 1608

Campbell, A.[Anthony], Wang, Y.Q.[Ye-Qiao], Christiano, M.[Mark], Stevens, S.[Sara],
Salt Marsh Monitoring in Jamaica Bay, New York from 2003 to 2013: A Decade of Change from Restoration to Hurricane Sandy,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703

Ghosh, S.[Shuvankar], Mishra, D.R.[Deepak R.],
Analyzing the Long-Term Phenological Trends of Salt Marsh Ecosystem across Coastal LOUISIANA,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802

Nguyen, C.[Chuyen], Starek, M.J.[Michael J.], Tissot, P.[Philippe], Gibeaut, J.[James],
Unsupervised Clustering Method for Complexity Reduction of Terrestrial Lidar Data in Marshes,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802

Nguyen, C.[Chuyen], Starek, M.J.[Michael J.], Tissot, P.[Philippe], Gibeaut, J.[James],
Unsupervised Clustering of Multi-Perspective 3D Point Cloud Data in Marshes: A Case Study,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911

Byrd, K.B.[Kristin B.], Ballanti, L.[Laurel], Thomas, N.[Nathan], Nguyen, D.[Dung], Holmquist, J.R.[James R.], Simard, M.[Marc], Windham-Myers, L.[Lisamarie],
A remote sensing-based model of tidal marsh aboveground carbon stocks for the conterminous United States,
PandRS(139), 2018, pp. 255-271.
Elsevier DOI 1804
And: Corrigendum: PandRS(166), 2020, pp. 63-67.
Elsevier DOI 2007
Tidal marsh biomass, Aboveground carbon stocks, Plant functional type, National greenhouse gas inventory, C-band synthetic aperture radar BibRef

Campbell, A., Wang, Y.,
Examining the Influence of Tidal Stage on Salt Marsh Mapping Using High-Spatial-Resolution Satellite Remote Sensing and Topobathymetric LiDAR,
GeoRS(56), No. 9, September 2018, pp. 5169-5176.
Vegetation mapping, Laser radar, Satellites, Remote sensing, Sea measurements, Spatial resolution, High-resolution imagery, topobathymetric light detection and ranging (LiDAR) BibRef

Albarakat, R.[Reyadh], Lakshmi, V.[Venkat], Tucker, C.J.[Compton J.],
Using Satellite Remote Sensing to Study the Impact of Climate and Anthropogenic Changes in the Mesopotamian Marshlands, Iraq,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811

Zhang, C.Y.[Cai-Yun], Mishra, D.R.[Deepak R.], Pennings, S.C.[Steven C.],
Mapping salt marsh soil properties using imaging spectroscopy,
PandRS(148), 2019, pp. 221-234.
Elsevier DOI 1901
Salt marsh, Soil properties, Imaging spectroscopy, Machine learning, Object-based modeling BibRef

Paynter, I.[Ian], Schaaf, C.[Crystal], Bowen, J.L.[Jennifer L.], Deegan, L.[Linda], Peri, F.[Francesco], Cook, B.[Bruce],
Characterizing a New England Saltmarsh with NASA G-LiHT Airborne Lidar,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903

Oteman, B.[Bas], Morris, E.P.[Edward Peter], Peralta, G.[Gloria], Bouma, T.J.[Tjeerd Joris], van der Wal, D.[Daphne],
Using Remote Sensing to Identify Drivers behind Spatial Patterns in the Bio-physical Properties of a Saltmarsh Pioneer,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903

Proença, B.[Bárbara], Frappart, F.[Frédéric], Lubac, B.[Bertrand], Marieu, V.[Vincent], Ygorra, B.[Bertrand], Bombrun, L.[Lionel], Michalet, R.[Richard], Sottolichio, A.[Aldo],
Potential of High-Resolution Pléiades Imagery to Monitor Salt Marsh Evolution After Spartina Invasion,
RS(11), No. 8, 2019, pp. xx-yy.
DOI Link 1905

Campbell, A.[Anthony], Wang, Y.Q.[Ye-Qiao],
High Spatial Resolution Remote Sensing for Salt Marsh Mapping and Change Analysis at Fire Island National Seashore,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905

Albarakat, R.[Reyadh], Lakshmi, V.[Venkataraman],
Comparison of Normalized Difference Vegetation Index Derived from Landsat, MODIS, and AVHRR for the Mesopotamian Marshes Between 2002 and 2018,
RS(11), No. 10, 2019, pp. xx-yy.
DOI Link 1906

Eon, R.S.[Rehman S.], Goldsmith, S.[Sarah], Bachmann, C.M.[Charles M.], Tyler, A.C.[Anna Christina], Lapszynski, C.S.[Christopher S.], Badura, G.P.[Gregory P.], Osgood, D.T.[David T.], Brett, R.[Ryan],
Retrieval of Salt Marsh Above-Ground Biomass from High-Spatial Resolution Hyperspectral Imagery Using PROSAIL,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906

Laengner, M.L.[Marieke Liesa], Siteur, K.[Koen], van der Wal, D.[Daphne],
Trends in the Seaward Extent of Saltmarshes across Europe from Long-Term Satellite Data,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
And: Correction: RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Farris, A.S.[Amy S.], Defne, Z.[Zafer], Ganju, N.K.[Neil K.],
Identifying Salt Marsh Shorelines from Remotely Sensed Elevation Data and Imagery,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908

Goodwin, G.C.H.[Guillaume C. H.], Mudd, S.M.[Simon M.],
Detecting the Morphology of Prograding and Retreating Marsh Margins: Example of a Mega-Tidal Bay,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001

Lou, P.Q.[Pei-Qing], Fu, B.[Bolin], He, H.C.[Hong-Chang], Li, Y.[Ying], Tang, T.Y.[Ting-Yuan], Lin, X.C.[Xing-Chen], Fan, D.L.[Dong-Lin], Gao, E.[Ertao],
An Optimized Object-Based Random Forest Algorithm for Marsh Vegetation Mapping Using High-Spatial-Resolution GF-1 and ZY-3 Data,
RS(12), No. 8, 2020, pp. xx-yy.
DOI Link 2004

Wang, C.[Chen], Smolders, S.[Sven], Callaghan, D.P.[David P.], van Belzen, J.[Jim], Bouma, T.J.[Tjeerd J.], Hu, Z.[Zhan], Wen, Q.K.[Qing-Ke], Temmerman, S.[Stijn],
Identifying Hydro-Geomorphological Conditions for State Shifts from Bare Tidal Flats to Vegetated Tidal Marshes,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007

Goldsmith, S.B.[Sarah B.], Eon, R.S.[Rehman S.], Lapszynski, C.S.[Christopher S.], Badura, G.P.[Gregory P.], Osgood, D.T.[David T.], Bachmann, C.M.[Charles M.], Tyler, A.C.[Anna Christina],
Assessing Salt Marsh Vulnerability Using High-Resolution Hyperspectral Imagery,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009

Sun, L.M.[Li-Min], Shao, D.D.[Dong-Dong], Xie, T.[Tian], Gao, W.[Weilun], Ma, X.[Xu], Ning, Z.H.[Zhong-Hua], Cui, B.S.[Bao-Shan],
How Does Spartina alterniflora Invade in Salt Marsh in Relation to Tidal Channel Networks? Patterns and Processes,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link 2009

Yang, Z.C.[Zhi-Cheng], d'Alpaos, A.[Andrea], Marani, M.[Marco], Silvestri, S.[Sonia],
Assessing the Fractional Abundance of Highly Mixed Salt-Marsh Vegetation Using Random Forest Soft Classification,
RS(12), No. 19, 2020, pp. xx-yy.
DOI Link 2010

Hu, Y.K.[Yue-Kai], Tian, B.[Bo], Yuan, L.[Lin], Li, X.Z.[Xiu-Zhen], Huang, Y.[Ying], Shi, R.H.[Run-He], Jiang, X.Y.[Xiao-Yi], Wang, L.H.[Li-Hua], Sun, C.[Chao],
Mapping coastal salt marshes in China using time series of Sentinel-1 SAR,
PandRS(173), 2021, pp. 122-134.
Elsevier DOI 2102
Salt marshes, Remote sensing, Coastal zone, Automatic classification, SAR BibRef

Morgan, G.R.[Grayson R.], Wang, C.Z.[Cui-Zhen], Li, Z.L.[Zhen-Long], Schill, S.R.[Steven R.], Morgan, D.R.[Daniel R.],
Deep Learning of High-Resolution Aerial Imagery for Coastal Marsh Change Detection: A Comparative Study,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202

Tang, Y.N.[Ya-Nan], Ma, J.[Jun], Xu, J.X.[Jing-Xian], Wu, W.B.[Wan-Ben], Wang, Y.C.[Yuan-Chen], Guo, H.Q.[Hai-Qiang],
Assessing the Impacts of Tidal Creeks on the Spatial Patterns of Coastal Salt Marsh Vegetation and Its Aboveground Biomass,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205

Brooks, C.[Colin], Grimm, A.[Amanda], Marcarelli, A.M.[Amy M.], Marion, N.P.[Nicholas P.], Shuchman, R.[Robert], Sayers, M.[Michael],
Classification of Eurasian Watermilfoil (Myriophyllum spicatum) Using Drone-Enabled Multispectral Imagery Analysis,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206

Silva, G.D.[Germán D.], Roberts, D.A.[Dar A.], McFadden, J.P.[Joseph P.], King, J.Y.[Jennifer Y.],
Shifts in Salt Marsh Vegetation Landcover after Debris Flow Deposition,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206

Inácio, M.[Miguel], Freitas, M.C.[M. Conceição], Cunha, A.G.[Ana Graça], Antunes, C.[Carlos], Leira, M.[Manel], Lopes, V.[Vera], Andrade, C.[César], Silva, T.A.[Tiago Adrião],
Simplified Marsh Response Model (SMRM): A Methodological Approach to Quantify the Evolution of Salt Marshes in a Sea-Level Rise Context,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208

Curcio, A.C.[Andrea Celeste], Peralta, G.[Gloria], Aranda, M.[María], Barbero, L.[Luis],
Evaluating the Performance of High Spatial Resolution UAV-Photogrammetry and UAV-LiDAR for Salt Marshes: The Cadiz Bay Study Case,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208

Stopak, S.[Sarah], Nordio, G.[Giovanna], Fagherazzi, S.[Sergio],
Quantifying the Importance of Ice-Rafted Debris to Salt Marsh Sedimentation Using High Resolution UAS Imagery,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212

Amelunke, M.[Michael], Anderson, C.P.[Carlton P.], Waldron, M.C.B.[Margaret C. B.], Raber, G.T.[George T.], Carter, G.A.[Gregory A.],
Influence of Flight Altitude and Surface Characteristics on UAS-LiDAR Ground Height Estimate Accuracy in Juncus roemerianus Scheele-Dominated Marshes,
RS(16), No. 2, 2024, pp. 384.
DOI Link 2402

Norris, G.S.[Gregory S.], LaRocque, A.[Armand], Leblon, B.[Brigitte], Barbeau, M.A.[Myriam A.], Hanson, A.R.[Alan R.],
Comparing Pixel- and Object-Based Approaches for Classifying Multispectral Drone Imagery of a Salt Marsh Restoration and Reference Site,
RS(16), No. 6, 2024, pp. 1049.
DOI Link 2403

Parashar, J., Bhandarkar, S.M., Simon, J., Hopkinson, B.M., Pennings, S.C.,
Estimation of Abundance and Distribution of Salt Marsh Plants from Images Using Deep Learning,
Location awareness, Graphical models, Semantics, Estimation, Task analysis, Spatial resolution, ecological monitoring BibRef

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Algal Blooms, Analysis, Detection .

Last update:May 23, 2024 at 14:31:23