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.T.[Wen-Ting],
Tong, L.H.[Li-Hua],
Li, M.C.[Man-Chun],
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
Almar, R.[Rafael],
Bergsma, E.W.J.[Erwin W. J.],
Thoumyre, G.[Gregoire],
Baba, M.W.[Mohamed Wassim],
Cesbron, G.[Guillaume],
Daly, C.[Christopher],
Garlan, T.[Thierry],
Lifermann, A.[Anne],
Global Satellite-Based Coastal Bathymetry from Waves,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Al Najar, M.[Mahmoud],
Benshila, R.[Rachid],
El Bennioui, Y.[Youssra],
Thoumyre, G.[Grégoire],
Almar, R.[Rafael],
Bergsma, E.W.J.[Erwin W. J.],
Delvit, J.M.[Jean-Marc],
Wilson, D.G.[Dennis G.],
Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery:
Comparing Deep Learning and Physics-Based Approaches,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Xie, C.S.[Cong-Shuang],
Chen, P.[Peng],
Pan, D.[Delu],
Zhong, C.[Chunyi],
Zhang, Z.H.[Zhen-Hua],
Improved Filtering of ICESat-2 Lidar Data for Nearshore Bathymetry
Estimation Using Sentinel-2 Imagery,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Gawehn, M.[Matthijs],
de Vries, S.[Sierd],
Aarninkhof, S.[Stefan],
A Self-Adaptive Method for Mapping Coastal Bathymetry On-The-Fly from
Wave Field Video,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Collins, A.M.[Adam M.],
Geheran, M.P.[Matthew P.],
Hesser, T.J.[Tyler J.],
Bak, A.S.[Andrew Spicer],
Brodie, K.L.[Katherine L.],
Farthing, M.W.[Matthew W.],
Development of a Fully Convolutional Neural Network to Derive
Surf-Zone Bathymetry from Close-Range Imagery of Waves in Duck, NC,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Liu, X.Y.[Xu-Ying],
Cheng, X.[Xiao],
Liang, Q.[Qi],
Li, T.[Teng],
Peng, F.[Fukai],
Chi, Z.H.[Zhao-Hui],
He, J.Y.[Jia-Ying],
Grounding Event of Iceberg D28 and Its Interactions with Seabed
Topography,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Lubczonek, J.[Jacek],
Kazimierski, W.[Witold],
Zaniewicz, G.[Grzegorz],
Lacka, M.[Malgorzata],
Methodology for Combining Data Acquired by Unmanned Surface and
Aerial Vehicles to Create Digital Bathymetric Models in Shallow and
Ultra-Shallow Waters,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Letard, M.[Mathilde],
Collin, A.[Antoine],
Corpetti, T.[Thomas],
Lague, D.[Dimitri],
Pastol, Y.[Yves],
Ekelund, A.[Anders],
Classification of Land-Water Continuum Habitats Using Exclusively
Airborne Topobathymetric Lidar Green Waveforms and Infrared Intensity
Point Clouds,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link
2201
BibRef
Sledziowski, J.[Jakub],
Terefenko, P.[Pawel],
Giza, A.[Andrzej],
Forczmanski, P.[Pawel],
Lysko, A.[Andrzej],
Macków, W.[Witold],
Stepien, G.[Grzegorz],
Tomczak, A.[Arkadiusz],
Kurylczyk, A.[Apoloniusz],
Application of Unmanned Aerial Vehicles and Image Processing
Techniques in Monitoring Underwater Coastal Protection Measures,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link
2202
BibRef
Alevizos, E.[Evangelos],
Oikonomou, D.[Dimitrios],
Argyriou, A.V.[Athanasios V.],
Alexakis, D.D.[Dimitrios D.],
Fusion of Drone-Based RGB and Multi-Spectral Imagery for Shallow
Water Bathymetry Inversion,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Innangi, S.[Sara],
Innangi, M.[Michele],
di Febbraro, M.[Mirko],
di Martino, G.[Gabriella],
Sacchi, M.[Marco],
Tonielli, R.[Renato],
Continuous, High-Resolution Mapping of Coastal Seafloor Sediment
Distribution,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link
2203
BibRef
Mohamed, H.[Hassan],
Nadaoka, K.[Kazuo],
Nakamura, T.[Takashi],
Automatic Semantic Segmentation of Benthic Habitats Using Images from
Towed Underwater Camera in a Complex Shallow Water Environment,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Gawehn, M.[Matthijs],
Almar, R.[Rafael],
Bergsma, E.W.J.[Erwin W. J.],
de Vries, S.[Sierd],
Aarninkhof, S.[Stefan],
Depth Inversion from Wave Frequencies in Temporally Augmented
Satellite Video,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Santos, D.[Diogo],
Abreu, T.[Tiago],
Silva, P.A.[Paulo A.],
Santos, F.[Fábio],
Baptista, P.[Paulo],
Nearshore Bathymetry Retrieval from Wave-Based Inversion for Video
Imagery,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link
2205
BibRef
Lubac, B.[Bertrand],
Burvingt, O.[Olivier],
Lerma, A.N.[Alexandre Nicolae],
Sénéchal, N.[Nadia],
Performance and Uncertainty of Satellite-Derived Bathymetry Empirical
Approaches in an Energetic Coastal Environment,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link
2206
BibRef
Le, Y.[Yuan],
Hu, M.Z.[Meng-Zhi],
Chen, Y.F.[Yi-Fu],
Yan, Q.[Qian],
Zhang, D.F.[Dong-Fang],
Li, S.[Shuai],
Zhang, X.H.[Xiao-Han],
Wang, L.Z.[Li-Zhe],
Investigating the Shallow-Water Bathymetric Capability of Zhuhai-1
Spaceborne Hyperspectral Images Based on ICESat-2 Data and Empirical
Approaches: A Case Study in the South China Sea,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Lee, C.H.[Chih-Hung],
Liu, L.W.[Li-Wei],
Wang, Y.M.[Yu-Min],
Leu, J.M.[Jan-Mou],
Chen, C.L.[Chung-Ling],
Drone-Based Bathymetry Modeling for Mountainous Shallow Rivers in
Taiwan Using Machine Learning,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Fediuk, A.[Annika],
Wunderlich, T.[Tina],
Wilken, D.[Dennis],
Rabbel, W.[Wolfgang],
Ground Penetrating Radar Measurements in Shallow Water Environments:
A Case Study,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Rodríguez-Padilla, I.[Isaac],
Castelle, B.[Bruno],
Marieu, V.[Vincent],
Morichon, D.[Denis],
Video-Based Nearshore Bathymetric Inversion on a Geologically
Constrained Mesotidal Beach during Storm Events,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Lewicka, O.[Oktawia],
Specht, M.[Mariusz],
Stateczny, A.[Andrzej],
Specht, C.[Cezary],
Dardanelli, G.[Gino],
Brcic, D.[David],
Szostak, B.[Bartosz],
Halicki, A.[Armin],
Stateczny, M.[Marcin],
Widzgowski, S.[Szymon],
Integration Data Model of the Bathymetric Monitoring System for
Shallow Waterbodies Using UAV and USV Platforms,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link
2208
BibRef
Zhong, J.[Jing],
Sun, J.[Jie],
Lai, Z.[Zulong],
Song, Y.[Yan],
Nearshore Bathymetry from ICESat-2 LiDAR and Sentinel-2 Imagery
Datasets Using Deep Learning Approach,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Wang, Y.X.[Yu-Xin],
He, X.Q.[Xian-Qiang],
Bai, Y.[Yan],
Li, T.[Teng],
Wang, D.[Difeng],
Zhu, Q.[Qiankun],
Gong, F.[Fang],
Satellite-Derived Bottom Depth for Optically Shallow Waters Based on
Hydrolight Simulations,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link
2209
BibRef
Gafoor, F.A.[Fahim Abdul],
Al-Shehhi, M.R.[Maryam R.],
Cho, C.S.[Chung-Suk],
Ghedira, H.[Hosni],
Gradient Boosting and Linear Regression for Estimating Coastal
Bathymetry Based on Sentinel-2 Images,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
BibRef
Oerlemans, S.C.M.[Stan C. M.],
Nijland, W.[Wiebe],
Ellenson, A.N.[Ashley N.],
Price, T.D.[Timothy D.],
Image-Based Classification of Double-Barred Beach States Using a
Convolutional Neural Network and Transfer Learning,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link
2210
Sandbars.
BibRef
Huang, L.Y.[Long-Yu],
Meng, J.M.[Jun-Min],
Fan, C.Q.[Chen-Qing],
Zhang, J.[Jie],
Yang, J.S.[Jing-Song],
Shallow Sea Topography Detection from Multi-Source SAR Satellites: A
Case Study of Dazhou Island in China,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Grzadziel, A.[Artur],
Application of Remote Sensing Techniques to Identification of
Underwater Airplane Wreck in Shallow Water Environment: Case Study of
the Baltic Sea, Poland,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Alevizos, E.[Evangelos],
Alexakis, D.D.[Dimitrios D.],
Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor
Using Drone-Based Multispectral Imagery,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Cui, A.[Aijun],
Zhang, J.Y.[Jing-Yu],
Ma, Y.[Yi],
Zhang, X.[Xi],
A Noise De-Correlation Based Sun Glint Correction Method and Its
Effect on Shallow Bathymetry Inversion,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Yang, Q.J.[Qing-Jie],
Chen, J.Y.[Jian-Yu],
Chen, B.[Benqing],
Tao, B.[Bangyi],
Evaluation and Improvement of No-Ground-Truth Dual Band Algorithm for
Shallow Water Depth Retrieval: A Case Study of a Coastal Island,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link
2212
BibRef
Awadallah, M.O.M.[Mahmoud Omer Mahmoud],
Malmquist, C.[Christian],
Stickler, M.[Morten],
Alfredsen, K.[Knut],
Quantitative Evaluation of Bathymetric LiDAR Sensors and Acquisition
Approaches in Laerdal River in Norway,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link
2301
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 .