23.5 Land Cover Analysis, Water Detection, Water Areas, Water Body

Krishnakumar, N., Iyengar, S.S.[S. Sitharama], Holyer, R.J.[Ron J.], Lybanon, M.[Matthew],
Feature labelling in infrared oceanographic images,
IVC(8), No. 2, May 1990, pp. 142-147.
Elsevier DOI 0401
non-linear probabilistic relaxation method. BibRef

Krishnakumar, N., Iyengar, S.S.[S. Sitharama], Holyer, R.J.[Ron J.], Lybanon, M.[Matthew],
Topographic-Based Feature Labeling for Infrared Oceanographic Images,
PRL(14), 1993, pp. 915-925. BibRef 9300

Simhadri, K.K., Iyengar, S.S., Holyer, R.J., Lybanon, M., Zachary, J.M.,
Wavelet Based Feature Extraction from Oceanographic Images,
GeoRS(36), No. 3, May 1998, pp. 767-778.
IEEE Top Reference. 9806
BibRef

Martin, M.L., Luna, M.Y., Valero, F., Lea, S.M., Lybanon, M.,
Finding water depths from synthetic remotely sensed images,
CIAP99(862-867).
IEEE DOI 9909
BibRef

Frazier, P.S.[Paul Shane], Page, K.J.[Kenneth John],
Water Body Detection and Delineation with Landsat TM Data,
PhEngRS(66), No. 12, December 2000, pp. 1461-1468. 0101
BibRef

Li, J.[Jiang], Narayanan, R.M.,
A shape-based approach to change detection of lakes using time series remote sensing images,
GeoRS(41), No. 11, November 2003, pp. 2466-2477.
IEEE Abstract. 0311
BibRef

Matsushita, B.[Bunkei], Yang, W.[Wei], Chang, P.[Peng], Yang, F.[Fan], Fukushima, T.[Takehiko],
A simple method for distinguishing global Case-1 and Case-2 waters using SeaWiFS measurements,
PandRS(69), No. 1, April 2012, pp. 74-87.
Elsevier DOI 1202
Inherent optical properties; Remote-sensing reflectance at 412 and 443 nm; Case-1 and Case-2 waters; GSM01 BibRef

Dash, P., Walker, N., Mishra, D.R., d'Sa, E.J., Ladner, S.,
Atmospheric Correction and Vicarious Calibration of Oceansat-1 Ocean Color Monitor (OCM) Data in Coastal Case 2 Waters,
RS(4), No. 6, June 2012, pp. 1716-1740.
DOI Link 1208
BibRef

Starek, M.J., Vemula, R., Slatton, K.C.,
Probabilistic Detection of Morphologic Indicators for Beach Segmentation With Multitemporal LiDAR Measurements,
GeoRS(50), No. 11, November 2012, pp. 4759-4770.
IEEE DOI 1210
BibRef

Klinger, T.[Tobias], Ziems, M.[Marcel], Heipke, C.[Christian], Schenke, H.W.[Hans Werner], Ott, N.[Norbert],
Antarctic Coastline Detection using Snakes,
PFG(2011), No. 6, 2011, pp. 421-434.
WWW Link. 1211
BibRef

Tulbure, M.G.[Mirela G.], Broich, M.[Mark],
Spatiotemporal dynamic of surface water bodies using Landsat time-series data from 1999 to 2011,
PandRS(79), No. 1, May 2013, pp. 44-52.
Elsevier DOI 1305
Optical remote sensing; Surface water body detection; Large area wetland inventory; Swan Coastal Plain; Western Australia; Long term trends BibRef

Deus, D., Gloaguen, R., Krause, P.,
Water Balance Modeling in a Semi-Arid Environment with Limited in situ Data Using Remote Sensing in Lake Manyara, East African Rift, Tanzania,
RS(5), No. 4, April 2013, pp. 1651-1680.
DOI Link 1305
BibRef

Davis, C.[Curtiss], Tufillaro, N.[Nicholas],
Remotely sensing the complexity of rivers and estuaries,
SPIE(Newsroom), July 22, 2013
DOI Link 1308
Data from the Hyperspectral Imager for the Coastal Ocean (HICO), combined with innovative spectral processing algorithms, can reveal detailed pictures of the sources of water pollution. BibRef

McFeeters, S.K.[Stuart K.],
Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach,
RS(5), No. 7, 2013, pp. 3544-3561.
DOI Link 1308
BibRef

Collin, A.[Antoine], Archambault, P.[Philippe], Planes, S.[Serge],
Bridging Ridge-to-Reef Patches: Seamless Classification of the Coast Using Very High Resolution Satellite,
RS(5), No. 7, 2013, pp. 3583-3610.
DOI Link 1308
BibRef

Ferreira, V.G.[Vagner G.], Gong, Z.[Zheng], He, X.F.[Xiu-Feng], Zhang, Y.L.[Yong-Lei], Andam-Akorful, S.A.[Samuel A.],
Estimating Total Discharge in the Yangtze River Basin Using Satellite-Based Observations,
RS(5), No. 7, 2013, pp. 3415-3430.
DOI Link 1308
BibRef

Dierssen, H.[Heidi],
Remote sensing of coastal habitats,
SPIE(Newsroom), August 16, 2013
DOI Link 1310
Hyperspectral imaging data from a portable spectrometer can be used to map vulnerable and rapidly changing environments at high spatial resolution. BibRef

Li, W.B.[Wen-Bo], Du, Z.Q.[Zhi-Qiang], Ling, F.[Feng], Zhou, D.B.[Dong-Bo], Wang, H.[Hailei], Gui, Y.M.[Yuan-Miao], Sun, B.Y.[Bing-Yu], Zhang, X.M.[Xiao-Ming],
A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from TM, ETM+ and ALI,
RS(5), No. 11, 2013, pp. 5530-5549.
DOI Link 1312
BibRef

Fisher, A.[Adrian], Danaher, T.[Tim],
A Water Index for SPOT5 HRG Satellite Imagery, New South Wales, Australia, Determined by Linear Discriminant Analysis,
RS(5), No. 11, 2013, pp. 5907-5925.
DOI Link 1312
BibRef

Fisher, A.[Adrian],
Cloud and Cloud-Shadow Detection in SPOT5 HRG Imagery with Automated Morphological Feature Extraction,
RS(6), No. 1, 2014, pp. 776-800.
DOI Link 1402
BibRef

Liu, Y.X.[Yong-Xue], Li, M.C.[Man-Chun], Zhou, M.X.[Min-Xi], Yang, K.[Kang], Mao, L.[Liang],
Quantitative Analysis of the Waterline Method for Topographical Mapping of Tidal Flats: A Case Study in the Dongsha Sandbank, China,
RS(5), No. 11, 2013, pp. 6138-6158.
DOI Link 1312
BibRef

Medeiros, S.C.[Stephen C.], Hagen, S.C.[Scott C.], Chaouch, N.[Naira], Feyen, J.[Jesse], Temimi, M.[Marouane], Weishampel, J.F.[John F.], Funakoshi, Y.J.[Yu-Ji], Khanbilvardi, R.[Reza],
Assessing the Performance of a Northern Gulf of Mexico Tidal Model Using Satellite Imagery,
RS(5), No. 11, 2013, pp. 5662-5679.
DOI Link 1312
BibRef

Devred, E.[Emmanuel], Turpie, K.R.[Kevin R.], Moses, W.[Wesley], Klemas, V.V.[Victor V.], Moisan, T.[Tiffany], Babin, M.[Marcel], Toro-Farmer, G.[Gerardo], Forget, M.H.[Marie-Hélène], Jo, Y.H.[Young-Heon],
Future Retrievals of Water Column Bio-Optical Properties using the Hyperspectral Infrared Imager (HyspIRI),
RS(5), No. 12, 2013, pp. 6812-6837.
DOI Link 1402
BibRef

Schmidt, A.[Alena], Rottensteiner, F.[Franz], Sörgel, U.[Uwe],
Water-Land-Classification in Coastal Areas with Full Waveform Lidar Data,
PFG(2013), No. 2, 2013, pp. 71-81.
DOI Link 1305
BibRef
Earlier:
Classification of Airborne Laser Scanning Data In Wadden Sea Areas Using Conditional Random Fields,
ISPRS12(XXXIX-B3:161-166).
DOI Link 1209
BibRef

Rodríguez-Cuenca, B.[Borja], Alonso, M.C.[Maria C.],
Semi-Automatic Detection of Swimming Pools from Aerial High-Resolution Images and LIDAR Data,
RS(6), No. 4, 2014, pp. 2628-2646.
DOI Link 1405
BibRef

Rokni, K.[Komeil], Ahmad, A.[Anuar], Selamat, A.[Ali], Hazini, S.[Sharifeh],
Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery,
RS(6), No. 5, 2014, pp. 4173-4189.
DOI Link 1407
BibRef

Song, C.Q.[Chun-Qiao], Huang, B.[Bo], Ke, L.H.[Ling-Hong], Richards, K.S.[Keith S.],
Remote sensing of alpine lake water environment changes on the Tibetan Plateau and surroundings: A review,
PandRS(92), No. 1, 2014, pp. 26-37.
Elsevier DOI 1407
Tibetan Plateau BibRef

Jiang, H.[Hao], Feng, M.[Min], Zhu, Y.Q.[Yun-Qiang], Lu, N.[Ning], Huang, J.X.[Jian-Xi], Xiao, T.[Tong],
An Automated Method for Extracting Rivers and Lakes from Landsat Imagery,
RS(6), No. 6, 2014, pp. 5067-5089.
DOI Link 1407
BibRef

Guzinski, R.[Radoslaw], Kass, S.[Steve], Huber, S.[Silvia], Bauer-Gottwein, P.[Peter], Jensen, I.H.[Iris Hedegaard], Naeimi, V.[Vahid], Doubkova, M.[Marcela], Walli, A.[Andreas], Tottrup, C.[Christian],
Enabling the Use of Earth Observation Data for Integrated Water Resource Management in Africa with the Water Observation and Information System,
RS(6), No. 8, 2014, pp. 7819-7839.
DOI Link 1410
BibRef

Mizuochi, H.[Hiroki], Hiyama, T.[Tetsuya], Ohta, T.[Takeshi], Nasahara, K.N.[Kenlo N.],
Evaluation of the Surface Water Distribution in North-Central Namibia Based on MODIS and AMSR Series,
RS(6), No. 8, 2014, pp. 7660-7682.
DOI Link 1410
BibRef

Ramillien, G.[Guillaume], Frappart, F.[Frédéric], Seoane, L.[Lucia],
Application of the Regional Water Mass Variations from GRACE Satellite Gravimetry to Large-Scale Water Management in Africa,
RS(6), No. 8, 2014, pp. 7379-7405.
DOI Link 1410
BibRef

Zhang, T.T.[Ting-Ting], Shao, Y.[Yun], Gong, H.[Huaze], Li, L.[Lin], Wang, L.F.[Long-Fei],
Salt Content Distribution and Paleoclimatic Significance of the Lop Nur 'Ear' Feature: Results from Analysis of EO-1 Hyperion Imagery,
RS(6), No. 8, 2014, pp. 7783-7799.
DOI Link 1410
BibRef

Sagar, S., Brando, V., Sambridge, M.,
Noise Estimation of Remote Sensing Reflectance Using a Segmentation Approach Suitable for Optically Shallow Waters,
GeoRS(52), No. 12, December 2014, pp. 7504-7512.
IEEE DOI 1410
geophysical image processing BibRef

Mann, T.[Thomas], Westphal, H.[Hildegard],
Assessing Long-Term Changes in the Beach Width of Reef Islands Based on Temporally Fragmented Remote Sensing Data,
RS(6), No. 8, 2014, pp. 6961-6987.
DOI Link 1410
BibRef

Collin, A.[Antoine], Nadaoka, K.[Kazuo], Nakamura, T.[Takashi],
Mapping VHR Water Depth, Seabed and Land Cover Using Google Earth Data,
IJGI(3), No. 4, 2014, pp. 1157-1179.
DOI Link 1411
BibRef

Pitarch, J.[Jaime], Odermatt, D.[Daniel], Kawka, M.[Marcin], Wüest, A.[Alfred],
Retrieval of Particle Scattering Coefficients and Concentrations by Genetic Algorithms in Stratified Lake Water,
RS(6), No. 10, 2014, pp. 9530-9551.
DOI Link 1411
BibRef

Zhan, S.[Shengan], Beck, R.A.[Richard A.], Hinkel, K.M.[Kenneth M.], Liu, H.X.[Hong-Xing], Jones, B.M.[Benjamin M.],
Spatio-Temporal Analysis of Gyres in Oriented Lakes on the Arctic Coastal Plain of Northern Alaska Based on Remotely Sensed Images,
RS(6), No. 10, 2014, pp. 9170-9193.
DOI Link 1411
BibRef

Li, J.G.[Jia-Guang], Menenti, M.[Massimo], Mousivand, A.[Alijafar], Luthi, S.M.[Stefan M.],
Non-Vegetated Playa Morphodynamics Using Multi-Temporal Landsat Imagery in a Semi-Arid Endorheic Basin: Salar de Uyuni, Bolivia,
RS(6), No. 10, 2014, pp. 10131-10151.
DOI Link 1411
BibRef

Zhang, X.P.[Xiao-Ping], Pan, D.[Delu], Chen, J.Y.[Jian-Yu], Zhao, J.H.[Jian-Hua], Zhu, Q.[Qiankun], Huang, H.Q.[Hai-Qing],
Evaluation of Coastline Changes under Human Intervention Using Multi-Temporal High-Resolution Images: A Case Study of the Zhoushan Islands, China,
RS(6), No. 10, 2014, pp. 9930-9950.
DOI Link 1411
BibRef

Chen, L.[Lifan], Michishita, R.[Ryo], Xu, B.[Bing],
Abrupt spatiotemporal land and water changes and their potential drivers in Poyang Lake, 2000-2012,
PandRS(98), No. 1, 2014, pp. 85-93.
Elsevier DOI 1411
MODIS BibRef

Zhu, W.B.[Wen-Bin], Jia, S.F.[Shao-Feng], Lv, A.[Aifeng],
Monitoring the Fluctuation of Lake Qinghai Using Multi-Source Remote Sensing Data,
RS(6), No. 11, 2014, pp. 10457-10482.
DOI Link 1412
BibRef

Zhu, W.B.[Wen-Bin], Yan, J.[Jiabao], Jia, S.F.[Shao-Feng],
Monitoring Recent Fluctuations of the Southern Pool of Lake Chad Using Multiple Remote Sensing Data: Implications for Water Balance Analysis,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Kopacková, V.[Veronika], Hladíková, L.[Lenka],
Applying Spectral Unmixing to Determine Surface Water Parameters in a Mining Environment,
RS(6), No. 11, 2014, pp. 11204-11224.
DOI Link 1412
BibRef

Rosenkranz, P.W.,
A Model for the Complex Dielectric Constant of Supercooled Liquid Water at Microwave Frequencies,
GeoRS(53), No. 3, March 2015, pp. 1387-1393.
IEEE DOI 1412
atmospheric humidity BibRef

Wu, Q.S.[Qiu-Sheng], Lane, C.[Charles], Liu, H.X.[Hong-Xing],
An Effective Method for Detecting Potential Woodland Vernal Pools Using High-Resolution LiDAR Data and Aerial Imagery,
RS(6), No. 11, 2014, pp. 11444-11467.
DOI Link 1412
BibRef

Bastiaanssen, W.G.M.[Wim G.M.], Karimi, P.[Poolad], Rebelo, L.M.[Lisa-Maria], Duan, Z.[Zheng], Senay, G.[Gabriel], Muthuwatte, L.[Lal], Smakhtin, V.[Vladimir],
Earth Observation Based Assessment of the Water Production and Water Consumption of Nile Basin Agro-Ecosystems,
RS(6), No. 11, 2014, pp. 10306-10334.
DOI Link 1412
BibRef

Ghosh, M.K.[Manoj Kumer], Kumar, L.[Lalit], Roy, C.[Chandan],
Monitoring the coastline change of Hatiya Island in Bangladesh using remote sensing techniques,
PandRS(101), No. 1, 2015, pp. 137-144.
Elsevier DOI 1503
Integrated technique BibRef

Guo, Y.L.[Yu-Long], Li, Y.M.[Yun-Mei], Zhu, L.[Li], Liu, G.[Ge], Wang, S.[Shuai], Du, C.G.[Cheng-Gong],
An Improved Unmixing-Based Fusion Method: Potential Application to Remote Monitoring of Inland Waters,
RS(7), No. 2, 2015, pp. 1640-1666.
DOI Link 1503
BibRef

Chakroun, H.[Hedia], Mouillot, F.[Florent], Hamdi, A.[Abdelaziz],
Regional Equivalent Water Thickness Modeling from Remote Sensing across a Tree Cover/LAI Gradient in Mediterranean Forests of Northern Tunisia,
RS(7), No. 2, 2015, pp. 1937-1961.
DOI Link 1503
BibRef

Li, R.R.[Rong-Rong], Lewis, M.D.[Mark David], Gould, R.W.[Richard W.], Lawson, A.[Adam], Amin, R.[Ruhul], Gallegos, S.C.[Sonia C.], Ladner, S.[Sherwin],
Inter-Comparison between VIIRS and MODIS Radiances and Ocean Color Data Products over the Chesapeake Bay,
RS(7), No. 2, 2015, pp. 2193-2207.
DOI Link 1503
BibRef

Gonçalves, J.A., Henriques, R.,
UAV photogrammetry for topographic monitoring of coastal areas,
PandRS(104), No. 1, 2015, pp. 101-111.
Elsevier DOI 1505
Coast BibRef

Yang, K.[Kang], Li, M.C.[Man-Chun], Liu, Y.X.[Yong-Xue], Cheng, L.[Liang], Huang, Q.H.[Qiu-Hao], Chen, Y.M.[Yang-Ming],
River Detection in Remotely Sensed Imagery Using Gabor Filtering and Path Opening,
RS(7), No. 7, 2015, pp. 8779.
DOI Link 1506
BibRef

Li, L.[Lin], Xia, H.[Hui], Li, Z.[Zheng], Zhang, Z.J.[Zhi-Jun],
Temporal-Spatial Evolution Analysis of Lake Size-Distribution in the Middle and Lower Yangtze River Basin Using Landsat Imagery Data,
RS(7), No. 8, 2015, pp. 10364.
DOI Link 1509
BibRef

Yao, F.F.[Fang-Fang], Wang, C.[Chao], Dong, D.[Di], Luo, J.C.[Jian-Cheng], Shen, Z.F.[Zhan-Feng], Yang, K.[Kehan],
High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery,
RS(7), No. 9, 2015, pp. 12336.
DOI Link 1511
BibRef

Wu, G.P.[Gui-Ping], Liu, Y.B.[Yuan-Bo],
Combining Multispectral Imagery with in situ Topographic Data Reveals Complex Water Level Variation in China's Largest Freshwater Lake,
RS(7), No. 10, 2015, pp. 13466.
DOI Link 1511
BibRef

Wu, G.P.[Gui-Ping], Liu, Y.B.[Yuan-Bo],
Assessment of the Hydro-Ecological Impacts of the Three Gorges Dam on China's Largest Freshwater Lake,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Ji, L.[Luyan], Gong, P.[Peng], Geng, X.[Xiurui], Zhao, Y.C.[Yong-Chao],
Improving the Accuracy of the Water Surface Cover Type in the 30 m FROM-GLC Product,
RS(7), No. 10, 2015, pp. 13507.
DOI Link 1511
BibRef

Sharma, R.C.[Ram C.], Tateishi, R.[Ryutaro], Hara, K.[Keitarou], Nguyen, L.V.[Luong Viet],
Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data,
RS(7), No. 10, 2015, pp. 13807.
DOI Link 1511
BibRef

Gökgöz, T.[Türkay], Sen, A.[Alper], Memduhoglu, A.[Abdulkadir], Hacar, M.[Muslum],
A New Algorithm for Cartographic Simplification of Streams and Lakes Using Deviation Angles and Error Bands,
IJGI(4), No. 4, 2015, pp. 2185.
DOI Link 1511
BibRef

Schroeder, R.[Ronny], McDonald, K.C.[Kyle C.], Chapman, B.D.[Bruce D.], Jensen, K.[Katherine], Podest, E.[Erika], Tessler, Z.D.[Zachary D.], Bohn, T.J.[Theodore J.], Zimmermann, R.[Reiner],
Development and Evaluation of a Multi-Year Fractional Surface Water Data Set Derived from Active/Passive Microwave Remote Sensing Data,
RS(7), No. 12, 2015, pp. 15843.
DOI Link 1601
BibRef

Du, Y.[Yun], Zhang, Y.H.[Yi-Hang], Ling, F.[Feng], Wang, Q.[Qunming], Li, W.B.[Wen-Bo], Li, X.D.[Xiao-Dong],
Water Bodies' Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band,
RS(8), No. 4, 2016, pp. 354.
DOI Link 1604
BibRef

Bolanos, S.[Sandra], Stiff, D.[Doug], Brisco, B.[Brian], Pietroniro, A.[Alain],
Operational Surface Water Detection and Monitoring Using Radarsat 2,
RS(8), No. 4, 2016, pp. 285.
DOI Link 1604
BibRef

Kuai, X.[Xi], Li, L.[Lin], Luo, H.[Heng], Hang, S.[Shen], Zhang, Z.J.[Zhi-Jun], Liu, Y.[Yu],
Geospatial Information Categories Mapping in a Cross-lingual Environment: A Case Study of 'Surface Water' Categories in Chinese and American Topographic Maps,
IJGI(5), No. 6, 2016, pp. 90.
DOI Link 1608
BibRef

Xie, H.[Huan], Luo, X.[Xin], Xu, X.[Xiong], Pan, H.Y.[Hai-Yan], Tong, X.H.[Xiao-Hua],
Automated Subpixel Surface Water Mapping from Heterogeneous Urban Environments Using Landsat 8 OLI Imagery,
RS(8), No. 7, 2016, pp. 584.
DOI Link 1608
BibRef

Hwang, C.[Cheinway], Cheng, Y.S.[Yung-Sheng], Han, J.C.[Jian-Cheng], Kao, R.[Ricky], Huang, C.Y.[Chi-Yun], Wei, S.H.[Shiang-Hung], Wang, H.[Haihong],
Multi-Decadal Monitoring of Lake Level Changes in the Qinghai-Tibet Plateau by the TOPEX/Poseidon-Family Altimeters: Climate Implication,
RS(8), No. 6, 2016, pp. 446.
DOI Link 1608
BibRef

Carroll, M.[Mark], Wooten, M.[Margaret], di Miceli, C.[Charlene], Sohlberg, R.[Robert], Kelly, M.[Maureen],
Quantifying Surface Water Dynamics at 30 Meter Spatial Resolution in the North American High Northern Latitudes 1991-2011,
RS(8), No. 8, 2016, pp. 622.
DOI Link 1609
BibRef

d'Alimonte, D., Kajiyama, T., Saptawijaya, A.,
Ocean Color Remote Sensing of Atypical Marine Optical Cases,
GeoRS(54), No. 11, November 2016, pp. 6574-6586.
IEEE DOI 1610
Absorption BibRef

Schueler, C.[Carl], Holmes, A.[Alan],
Monitoring coastal ocean color with low-cost CubeSats,
SPIE(Newsroom), September 13, 2016
DOI Link 1610
Miniaturization of satellite remote sensing promises lower costs, and SeaHawk is a prime example, offering global coastal ocean color imagery comparable to previous larger and more expensive systems. BibRef

Bustamante, J.[Javier], Aragonés, D.[David], Afán, I.[Isabel],
Effect of Protection Level in the Hydroperiod of Water Bodies on Doñana's Aeolian Sands,
RS(8), No. 10, 2016, pp. 867.
DOI Link 1609
BibRef

Dörnhöfer, K.[Katja], Göritz, A.[Anna], Gege, P.[Peter], Pflug, B.[Bringfried], Oppelt, N.[Natascha],
Water Constituents and Water Depth Retrieval from Sentinel-2A: A First Evaluation in an Oligotrophic Lake,
RS(8), No. 11, 2016, pp. 941.
DOI Link 1612
BibRef

Bertels, L.[Luc], Smets, B.[Bruno], Wolfs, D.[Davy],
Dynamic Water Surface Detection Algorithm Applied on PROBA-V Multispectral Data,
RS(8), No. 12, 2016, pp. 1010.
DOI Link 1612
BibRef

Leng, L.[Liang], Yang, G.D.[Guo-Dong], Chen, S.[Shengbo],
A Combinatorial Reasoning Mechanism with Topological and Metric Relations for Change Detection in River Planforms: An Application to GlobeLand30's Water Bodies,
IJGI(6), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Dietz, A.J.[Andreas J.], Klein, I.[Igor], Gessner, U.[Ursula], Frey, C.M.[Corinne M.], Kuenzer, C.[Claudia], Dech, S.[Stefan],
Detection of Water Bodies from AVHRR Data: A TIMELINE Thematic Processor,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Tan, C.[Chao], Ma, M.G.[Ming-Guo], Kuang, H.H.[Hong-Hai],
Spatial-Temporal Characteristics and Climatic Responses of Water Level Fluctuations of Global Major Lakes from 2002 to 2010,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link 1703
BibRef
And: Erratum: RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

d'Andrimont, R.[Raphaël], Marlier, C.[Catherine], Defourny, P.[Pierre],
Hyperspatial and Multi-Source Water Body Mapping: A Framework to Handle Heterogeneities from Observations and Targets over Large Areas,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Eleveld, M.A.[Marieke A.], Ruescas, A.B.[Ana B.], Hommersom, A.[Annelies], Moore, T.S.[Timothy S.], Peters, S.W.M.[Steef W. M.], Brockmann, C.[Carsten],
An Optical Classification Tool for Global Lake Waters,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Sun, W.W.[Wei-Wei], Du, B.[Bo], Xiong, S.[Shaolong],
Quantifying Sub-Pixel Surface Water Coverage in Urban Environments Using Low-Albedo Fraction from Landsat Imagery,
RS(9), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Huang, C.[Chang], Nguyen, B.D.[Ba Duy], Zhang, S.Q.[Shi-Qiang], Cao, S.M.[Sen-Mao], Wagner, W.[Wolfgang],
A Comparison of Terrain Indices toward Their Ability in Assisting Surface Water Mapping from Sentinel-1 Data,
IJGI(6), No. 5, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Yang, X.C.[Xiu-Cheng], Zhao, S.S.[Shan-Shan], Qin, X.B.[Xue-Bin], Zhao, N.[Na], Liang, L.G.[Li-Gang],
Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Zeng, C.Q.[Chui-Qing], Richardson, M.[Murray], King, D.J.[Douglas J.],
The impacts of environmental variables on water reflectance measured using a lightweight unmanned aerial vehicle (UAV)-based spectrometer system,
PandRS(130), No. 1, 2017, pp. 217-230.
Elsevier DOI 1708
Water, reflectance BibRef

Shen, Y.L.[Yi-Lang], Ai, T.H.[Ting-Hua],
A Hierarchical Approach for Measuring the Consistency of Water Areas between Multiple Representations of Tile Maps with Different Scales,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Verplanke, J.[Jeroen], Georgiadou, Y.[Yola],
Wicked Water Points: The Quest for an Error Free National Water Point Database,
IJGI(6), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Lyons, E.A.[Evan A.], Sheng, Y.W.[Yong-Wei],
LakeTime: Automated Seasonal Scene Selection for Global Lake Mapping Using Landsat ETM+ and OLI,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

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A Machine Learning Approach to Waterbody Segmentation in Thermal Infrared Imagery in Support of Tactical Wildfire Mapping,
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Wang, J.[Ji], Hu, Y.F.[Yu-Feng], Li, Z.H.[Zhen-Hong],
A New Coherence Detection Method for Mapping Inland Water Bodies Using CYGNSS Data,
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Mazhar, S.[Sarah], Sun, G.M.[Guang-Min], Bilal, A.[Anas], Hassan, B.[Bilal], Li, Y.[Yu], Zhang, J.J.[Jun-Jie], Lin, Y.[Yinyi], Khan, A.[Ali], Ahmed, R.[Ramsha], Hassan, T.[Taimur],
AUnet: A Deep Learning Framework for Surface Water Channel Mapping Using Large-Coverage Remote Sensing Images and Sparse Scribble Annotations from OSM Data,
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Liu, J.H.[Jia-Hang], Wang, Y.[Yue],
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An, S.H.[Shi-Hao], Rui, X.P.[Xiao-Ping],
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Li, X.S.[Xu-Sheng], Zhang, D.H.[Dong-Hui], Jiang, C.C.[Chen-Chen], Zhao, Y.J.[Ying-Jun], Li, H.[Hu], Lu, D.H.[Dong-Hua], Qin, K.[Kai], Chen, D.H.[Dong-Hua], Liu, Y.F.[Yu-Feng], Sun, Y.[Yu], Liu, S.S.[Sai-Sai],
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Bao, X.F.[Xin-Feng], Zinger, S.[Svitlana], Wijnhoven, R.[Rob], de With, P.H.N.[Peter H. N.],
Water Region Detection Supporting Ship Identification in Port Surveillance,
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Leach, J.H.J., Kitchingman, A.,
The Use of Modis Data To Define Natural Boundaries and Regions In The Marine Water Column,
ISPRS12(XXXIX-B8:545-550).
DOI Link 1209
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Tarikhi, P.,
Insar Of Aquatic Bodies,
ISPRS12(XXXIX-B7:85-90).
DOI Link 1209
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Lazaridou, M.A.,
Image Interpretation Of Coastal Areas,
ISPRS12(XXXIX-B8:171-174).
DOI Link 1209
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Nguyen, D.D.,
Water Body Extraction From Multi Spectral Image By Spectral Pattern Analysis,
ISPRS12(XXXIX-B8:181-186).
DOI Link 1209
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Sui, H.G., Xu, C.,
Automatic Extraction Of Water In High-resolution Sar Images Based On Multi-scale Level Set Method And Otsu Algorithm,
ISPRS12(XXXIX-B7:453-457).
DOI Link 1209
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Steinbacher, F., Pfennigbauer, M., Aufleger, M., Ullrich, A.,
High Resolution Airborne Shallow Water Mapping,
ISPRS12(XXXIX-B1:55-60).
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d'Andrimont, R.[Raphael], Pekel, J.F.[Jean-Francois], Defourny, P.[Pierre],
Monitoring African surface water dynamic using medium resolution daily data allows anomalies detection in nearly real time,
MultiTemp11(241-244).
IEEE DOI 1109
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Schmidt, A., Rottensteiner, F., Sörgel, U.,
Detection of Water Surfaces in Full-Waveform Laser Scanning Data,
HighRes11(xx-yy).
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Steinbacher, F.[Frank],
Airborne hydromapping area-wide surveying of shallow water areas,
CGC10(191).
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Dialameh, A.[Ameneh], Faisal, K.[Kamil], Shaker, A.[Ahmed], Yan, W.Y.[Wai Yeung],
Remote sensing techniques as a tool for runoff water estimation,
CGC10(175).
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Long, Z.Y.[Zhi-Yong], He, M.Y.[Ming-Yuan], Shi, H.Q.[Han-Qing], Rao, R.[Ruoyu],
Study on Water Bodies Extraction with FY3A Satellite Image,
CISP09(1-5).
IEEE DOI 0910
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Silveira, M.[Margarida], Nascimento, J.C.[Jacinto C.], Marques, J.S.[Jorge S.],
Level set segmentation with outlier rejection,
ICIP08(1085-1088).
IEEE DOI 0810
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Brzank, A., Heipke, C.,
Supervised Classification of Water Regions from Lidar Data in the Wadden Sea Using a Fuzzy Logic Concept,
Laser07(90).
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Taniguchi, R.I., Kawaguchi, E.,
Knowledge-Based Image Analysis of Landsat Data: How to Extract and How to Describe Water Information,
ICPR86(1236-1239). BibRef 8600

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Water, Water Body Detection Using SAR .