Pe'eri, S.[Shachak],
Philpot, W.[William],
Increasing the Existence of Very Shallow-Water LIDAR Measurements Using
the Red-Channel Waveforms,
GeoRS(45), No. 5, May 2007, pp. 1217-1223.
IEEE DOI
0704
BibRef
Shrestha, K.Y.,
Carter, W.E.,
Slatton, K.C.,
Cossio, T.K.,
Shallow Bathymetric Mapping via Multistop Single Photoelectron
Sensitivity Laser Ranging,
GeoRS(50), No. 11, November 2012, pp. 4771-4790.
IEEE DOI
1210
BibRef
Vahtmäe, E.[Ele],
Kutser, T.[Tiit],
Classifying the Baltic Sea Shallow Water Habitats Using
Image-Based and Spectral Library Methods,
RS(5), No. 5, 2013, pp. 2451-2474.
DOI Link
1307
BibRef
Holman, R.A.,
Plant, N.G.,
Holland, K.T.,
cBathy: A robust algorithm for estimating nearshore bathymetry,
JGR(118), 2013, pp. 1-15.
DOI Link
BibRef
1300
Ma, S.[Sheng],
Tao, Z.[Zui],
Yang, X.F.[Xiao-Feng],
Yu, Y.[Yang],
Zhou, X.[Xuan],
Li, Z.[Ziwei],
Bathymetry Retrieval From Hyperspectral Remote Sensing Data in
Optical-Shallow Water,
GeoRS(52), No. 2, February 2014, pp. 1205-1212.
IEEE DOI
1402
airborne radar
BibRef
Manessa, M.D.M.[Masita Dwi Mandini],
Kanno, A.[Ariyo],
Sekine, M.[Masahiko],
Ampou, E.E.[Eghbert Elvan],
Widagti, N.[Nuryani],
As-Syakur, A.R.[A. Rahman],
Shallow-Water Benthic Identification Using Multispectral Satellite
Imagery: Investigation on the Effects of Improving Noise Correction
Method and Spectral Cover,
RS(6), No. 5, 2014, pp. 4454-4472.
DOI Link
1407
BibRef
Eugenio, F.[Francisco],
Marcello, J.[Javier],
Martin, J.[Javier],
High-Resolution Maps of Bathymetry and Benthic Habitats in
Shallow-Water Environments Using Multispectral Remote Sensing Imagery,
GeoRS(53), No. 7, July 2015, pp. 3539-3549.
IEEE DOI
1503
Atmospheric measurements
BibRef
Martin, J.[Javier],
Eugenio, F.[Francisco],
Marcello, J.[Javier],
Medina, A.[Anabella],
Automatic Sun Glint Removal of Multispectral High-Resolution
Worldview-2 Imagery for Retrieving Coastal Shallow Water Parameters,
RS(8), No. 1, 2016, pp. 37.
DOI Link
1602
BibRef
Cheng, L.[Liang],
Ma, L.[Lei],
Cai, W.[Wenting],
Tong, L.H.[Li-Hua],
Li, M.[Manchun],
Du, P.J.[Pei-Jun],
Integration of Hyperspectral Imagery and Sparse Sonar Data for
Shallow Water Bathymetry Mapping,
GeoRS(53), No. 6, June 2015, pp. 3235-3249.
IEEE DOI
1503
bathymetry
BibRef
Pan, Z.G.[Zhi-Gang],
Glennie, C.L.[Craig L.],
Hartzell, P.J.[Preston J.],
Fernandez-Diaz, J.C.[Juan Carlos],
Legleiter, C.J.[Carl J.],
Overstreet, B.[Brandon],
Performance Assessment of High Resolution Airborne Full Waveform
LiDAR for Shallow River Bathymetry,
RS(7), No. 5, 2015, pp. 5133-5159.
DOI Link
1506
BibRef
Pan, Z.G.[Zhi-Gang],
Glennie, C.L.[Craig L.],
Fernandez-Diaz, J.C.[Juan Carlos],
Legleiter, C.J.[Carl J.],
Overstreet, B.[Brandon],
Fusion of LiDAR Orthowaveforms and Hyperspectral Imagery for Shallow
River Bathymetry and Turbidity Estimation,
GeoRS(54), No. 7, July 2016, pp. 4165-4177.
IEEE DOI
1606
Atmospheric measurements
BibRef
Blakey, T.[Tara],
Melesse, A.[Assefa],
Hall, M.O.[Margaret O.],
Supervised Classification of Benthic Reflectance in Shallow
Subtropical Waters Using a Generalized Pixel-Based Classifier across
a Time Series,
RS(7), No. 5, 2015, pp. 5098-5116.
DOI Link
1506
BibRef
Bannari, A.[Abderrazak],
Kadhem, G.[Ghadeer],
MBES-CARIS Data Validation for Bathymetric Mapping of Shallow Water
in the Kingdom of Bahrain on the Arabian Gulf,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link
1705
BibRef
Zhang, S.S.[Shuang-Shang],
Xu, Q.[Qing],
Zheng, Q.[Quanan],
Li, X.F.[Xiao-Feng],
Mechanisms of SAR Imaging of Shallow Water Topography of the Subei
Bank,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link
1712
BibRef
Niroumand-Jadidi, M.[Milad],
Vitti, A.[Alfonso],
Reconstruction of River Boundaries at Sub-Pixel Resolution:
Estimation and Spatial Allocation of Water Fractions,
IJGI(6), No. 12, 2017, pp. xx-yy.
DOI Link
1801
BibRef
Earlier:
Optimal Band Ratio Analysis Of Worldview-3 Imagery For Bathymetry Of
Shallow Rivers (case Study: Sarca River, Italy),
ISPRS16(B8: 361-364).
DOI Link
1610
BibRef
Marcello, J.[Javier],
Eugenio, F.[Francisco],
Martín, J.[Javier],
Marqués, F.[Ferran],
Seabed Mapping in Coastal Shallow Waters Using High Resolution
Multispectral and Hyperspectral Imagery,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link
1809
BibRef
Schwarz, R.[Roland],
Mandlburger, G.[Gottfried],
Pfennigbauer, M.[Martin],
Pfeifer, N.[Norbert],
Design and evaluation of a full-wave surface and bottom-detection
algorithm for LiDAR bathymetry of very shallow waters,
PandRS(150), 2019, pp. 1-10.
Elsevier DOI
1903
Award, U.V. Helava, ISPRS.
Elsevier DOI LiDAR, River, Bathymetry, Shallow water, Full waveform
BibRef
Agrafiotis, P.[Panagiotis],
Skarlatos, D.[Dimitrios],
Georgopoulos, A.[Andreas],
Karantzalos, K.[Konstantinos],
DepthLearn: Learning to Correct the Refraction on Point Clouds
Derived from Aerial Imagery for Accurate Dense Shallow Water
Bathymetry Based on SVMs-Fusion with LiDAR Point Clouds,
RS(11), No. 19, 2019, pp. xx-yy.
DOI Link
1910
BibRef
Earlier:
Shallow Water Bathymetry Mapping from Uav Imagery Based On Machine
Learning,
Underwater19(9-16).
DOI Link
1904
BibRef
Chu, S.,
Cheng, L.,
Ruan, X.,
Zhuang, Q.,
Zhou, X.,
Li, M.,
Shi, Y.,
Technical Framework for Shallow-Water Bathymetry With High
Reliability and No Missing Data Based on Time-Series Sentinel-2
Images,
GeoRS(57), No. 11, November 2019, pp. 8745-8763.
IEEE DOI
1911
Clouds, Noise reduction, Remote sensing, Time series analysis,
Cloud computing, Reliability, Satellites, Bathymetry,
time series
BibRef
Agrafiotis, P.[Panagiotis],
Karantzalos, K.[Konstantinos],
Georgopoulos, A.[Andreas],
Skarlatos, D.[Dimitrios],
Correcting Image Refraction: Towards Accurate Aerial Image-Based
Bathymetry Mapping in Shallow Waters,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link
2001
BibRef
Genchi, S.A.[Sibila A.],
Vitale, A.J.[Alejandro J.],
Perillo, G.M.E.[Gerardo M. E.],
Seitz, C.[Carina],
Delrieux, C.A.[Claudio A.],
Mapping Topobathymetry in a Shallow Tidal Environment Using Low-Cost
Technology,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link
2005
BibRef
Stanghellini, G.[Giuseppe],
del Bianco, F.[Fabrizio],
Gasperini, L.[Luca],
OpenSWAP, an Open Architecture, Low Cost Class of Autonomous Surface
Vehicles for Geophysical Surveys in the Shallow Water Environment,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link
2008
BibRef
Zhang, X.C.[Xue-Chun],
Ma, Y.[Yi],
Zhang, J.Y.[Jing-Yu],
Shallow Water Bathymetry Based on Inherent Optical Properties Using
High Spatial Resolution Multispectral Imagery,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
BibRef
de Michele, M.[Marcello],
Raucoules, D.[Daniel],
Idier, D.[Deborah],
Smai, F.[Farid],
Foumelis, M.[Michael],
Shallow Bathymetry from Multiple Sentinel 2 Images via the Joint
Estimation of Wave Celerity and Wavelength,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Reif, M.K.[Molly K.],
Krumwiede, B.S.[Brandon S.],
Brown, S.E.[Steven E.],
Theuerkauf, E.J.[Ethan J.],
Harwood, J.H.[Joseph H.],
Nearshore Benthic Mapping in the Great Lakes: A Multi-Agency Data
Integration Approach in Southwest Lake Michigan,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link
2108
BibRef
Ranndal, H.[Heidi],
Christiansen, P.S.[Philip Sigaard],
Kliving, P.[Pernille],
Andersen, O.B.[Ole Baltazar],
Nielsen, K.[Karina],
Evaluation of a Statistical Approach for Extracting Shallow Water
Bathymetry Signals from ICESat-2 ATL03 Photon Data,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Holman, R.[Rob],
Bergsma, E.W.J.[Erwin W. J.],
Updates to and Performance of the cBathy Algorithm for Estimating
Nearshore Bathymetry from Remote Sensing Imagery,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link
2110
See also cBathy: A robust algorithm for estimating nearshore bathymetry.
BibRef
Giles, A.B.[Anna B.],
Davies, J.E.[James Edward],
Ren, K.[Keven],
Kelaher, B.[Brendan],
A deep learning algorithm to detect and classify sun glint from
high-resolution aerial imagery over shallow marine environments,
PandRS(181), 2021, pp. 20-26.
Elsevier DOI
2110
Sun Glint, Deep Learning, Artificial Neural Network, Drones,
U-net, Aerial Imagery
BibRef
Amrari, S.[Sélim],
Bourassin, E.[Emmanuel],
Andréfouët, S.[Serge],
Soulard, B.[Benoit],
Lemonnier, H.[Hugues],
Le Gendre, R.[Romain],
Shallow Water Bathymetry Retrieval Using a Band-Optimization
Iterative Approach: Application to New Caledonia Coral Reef Lagoons
Using Sentinel-2 Data,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link
2110
BibRef
Said, N.M.,
Mahmud, M.R.,
Hasan, R.C.,
Satellite-derived Bathymetry: Accuracy Assessment On Depths Derivation
Algorithm for Shallow Water Area,
GeoDisast17(159-164).
DOI Link
1805
BibRef
Suhari, K.T.,
Karim, H.,
Gunawan, P.H.,
Purwanto, H.,
Small ROV Marine Boat for Bathymetry Surveys of Shallow Waters:
Potential Implementation in Malaysia,
GeoDisast17(201-208).
DOI Link
1805
BibRef
Sorensen, S.,
Treible, W.,
Kambhamettu, C.,
Surface Stereo for Shallow Underwater Scenes,
CVAUI16(37-42)
IEEE DOI
1701
Cameras
BibRef
Deidda, M.,
Pala, A.,
Sanna, G.,
A New IDL Implementation Of The Jupp Method For Bathymetry Extraction
In Shallow Waters,
ISPRS16(B7: 467-474).
DOI Link
1610
BibRef
Montes-Hugo, M.A.,
Barrado, C.,
Pastor, E.,
A New Technique Based on Mini-UAS for Estimating Water and Bottom
Radiance Contributions in Optically Shallow Waters,
UAV-g15(375-379).
DOI Link
1512
BibRef
Doneus, M.,
Miholjek, I.,
Mandlburger, G.,
Doneus, N.,
Verhoeven, G.,
Briese, C.,
Pregesbauer, M.,
Airborne Laser Bathymetry for Documentation of Submerged Archaeological
Sites in Shallow Water,
Underwater15(99-107).
DOI Link
1508
BibRef
Doxani, G.,
Papadopoulou, M.,
Lafazani, P.,
Pikridas, C.,
Tsakiri-Strati, M.,
Shallow-water Bathymetry Over Variable Bottom Types Using Multispectral
Worldview-2 Image,
ISPRS12(XXXIX-B8:159-164).
DOI Link
1209
BibRef
Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Coral Reef Mapping, Analysis .