Lake and River Ice Detection

Chapter Contents (Back)
River Ice Detection. Lake Ice Detection. Ice Detection.

Han, H., Lee, H.,
Radar Backscattering of Lake Ice During Freezing and Thawing Stages Estimated by Ground-Based Scatterometer Experiment and Inversion From Genetic Algorithm,
GeoRS(51), No. 5, May 2013, pp. 3089-3096.

Bernier, M., Pottier, E., van der Sanden, J.J., Chokmani, K.,
Retrieval of River Ice Thickness From C-Band PolSAR Data,
GeoRS(52), No. 6, June 2014, pp. 3052-3062.
Ice thickness BibRef

Chu, T.[Thuan], Das, A.[Apurba], Lindenschmidt, K.E.[Karl-Erich],
Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data: A Case Study,
RS(7), No. 10, 2015, pp. 13664.
DOI Link 1511

Tian, B.[Bangsen], Li, Z.[Zhen], Engram, M.J.[Melanie J.], Niu, F.[Fujun], Tang, P.P.[Pan-Pan], Zou, P.F.[Peng-Fei], Xu, J.[Juan],
Characterizing C-band backscattering from thermokarst lake ice on the Qinghai-Tibet Plateau,
PandRS(104), No. 1, 2015, pp. 63-76.
Elsevier DOI 1505
Earlier: A2, A1, A5, Only:
The backscattering characteristics of thermokarst lake ice in the qinghai-tibet plateau from SAR,
DOI Link 1404
Thermokarst lake ice BibRef

Antonova, S.[Sofia], Duguay, C.R.[Claude R.], Kääb, A.[Andreas], Heim, B.[Birgit], Langer, M.[Moritz], Westermann, S.[Sebastian], Boike, J.[Julia],
Monitoring Bedfast Ice and Ice Phenology in Lakes of the Lena River Delta Using TerraSAR-X Backscatter and Coherence Time Series,
RS(8), No. 11, 2016, pp. 903.
DOI Link 1612

Dorofy, P.[Peter], Nazari, R.[Rouzbeh], and, P.R.[Peter Romanov], Key, J.R.[Jeffrey R.],
Development of a Mid-Infrared Sea and Lake Ice Index (MISI) Using the GOES Imager,
RS(8), No. 12, 2016, pp. 1015.
DOI Link 1612

Kraatz, S.[Simon], Khanbilvardi, R.[Reza], Romanov, P.[Peter],
A Comparison of MODIS/VIIRS Cloud Masks over Ice-Bearing River: On Achieving Consistent Cloud Masking and Improved River Ice Mapping,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704

Korzeniowska, K.[Karolina], Korup, O.[Oliver],
Object-Based Detection of Lakes Prone to Seasonal Ice Cover on the Tibetan Plateau,
RS(9), No. 4, 2017, pp. xx-yy.
DOI Link 1705

Beckers, J.F., Casey, J.A.[J. Alec], Haas, C.,
Retrievals of Lake Ice Thickness From Great Slave Lake and Great Bear Lake Using CryoSat-2,
GeoRS(55), No. 7, July 2017, pp. 3708-3720.
Scattering, Snow, Spaceborne radar, Arctic, ice thickness, lakes, radar, remote, sensing BibRef

Kheyrollah Pour, H., Duguay, C.R., Scott, K.A., Kang, K.K.,
Improvement of Lake Ice Thickness Retrieval From MODIS Satellite Data Using a Thermodynamic Model,
GeoRS(55), No. 10, October 2017, pp. 5956-5965.
ice, lakes, land surface temperature, remote sensing, snow, 1D thermodynamic lake ice model, AD 2002 to 2014, CLIMo, Canadian Ice Service, Canadian Lake Ice Model, MODIS lake ice surface temperature, MODIS satellite data, BibRef

Son, S., Wang, M.,
Ice Detection for Satellite Ocean Color Data Processing in the Great Lakes,
GeoRS(55), No. 12, December 2017, pp. 6793-6804.
Data processing, Ice, Image color analysis, Lakes, MODIS, Oceans, Satellites, Great Lakes, ice detection, ocean color remote sensing, water quality BibRef

Gunn, G.E., Duguay, C.R., Atwood, D.K., King, J., Toose, P.,
Observing Scattering Mechanisms of Bubbled Freshwater Lake Ice Using Polarimetric RADARSAT-2 (C-Band) and UW-Scat (X- and Ku-Bands),
GeoRS(56), No. 5, May 2018, pp. 2887-2903.
Backscatter, Ice, Lakes, Permittivity, Rough surfaces, Scattering, Surface roughness, Frequency-modulated continuous wave (FMCW), synthetic aperture radar (SAR) BibRef

Guo, L.[Linan], Wu, Y.H.[Yan-Hong], Zheng, H.X.[Hong-Xing], Zhang, B.[Bing], Li, J.S.[Jun-Sheng], Zhang, F.F.[Fang-Fang], Shen, Q.[Qian],
Uncertainty and Variation of Remotely Sensed Lake Ice Phenology across the Tibetan Plateau,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811

Murfitt, J.[Justin], Brown, L.C.[Laura C.], Howell, S.E.L.[Stephen E.L.],
Evaluating RADARSAT-2 for the Monitoring of Lake Ice Phenology Events in Mid-Latitudes,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811

Wang, J.Q.[Jun-Qian], Duguay, C.R.[Claude R.], Clausi, D.A.[David A.], Pinard, V.[Véronique], Howell, S.E.L.[Stephen E. L.],
Semi-Automated Classification of Lake Ice Cover Using Dual Polarization RADARSAT-2 Imagery,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812

Zhang, S.[Shuai], Pavelsky, T.M.[Tamlin M.],
Remote Sensing of Lake Ice Phenology across a Range of Lakes Sizes, ME, USA,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908

Lindenschmidt, K.E.[Karl-Erich], Li, Z.Q.[Zhao-Qin],
Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902

Zhang, X.W.[Xiu-Wei], Jin, J.J.[Jiao-Jiao], Lan, Z.[Zeze], Li, C.J.[Chun-Jiang], Fan, M.H.[Min-Hao], Wang, Y.[Yafei], Yu, X.[Xin], Zhang, Y.N.[Yan-Ning],
ICENET: A Semantic Segmentation Deep Network for River Ice by Fusing Positional and Channel-Wise Attentive Features,
RS(12), No. 2, 2020, pp. xx-yy.
DOI Link 2001

Singh, A., Kalke, H., Loewen, M., Ray, N.,
River Ice Segmentation With Deep Learning,
GeoRS(58), No. 11, November 2020, pp. 7570-7579.
Ice, Rivers, Image segmentation, Cameras, Motion segmentation, Machine learning, support vector machine (SVM) BibRef

Murfitt, J.[Justin], Duguay, C.R.[Claude R.],
Assessing the Performance of Methods for Monitoring Ice Phenology of the World's Largest High Arctic Lake Using High-Density Time Series Analysis of Sentinel-1 Data,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002

Hoekstra, M.[Marie], Jiang, M.Z.[Ming-Zhe], Clausi, D.A.[David A.], Duguay, C.[Claude],
Lake Ice-Water Classification of RADARSAT-2 Images by Integrating IRGS Segmentation with Pixel-Based Random Forest Labeling,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005

Qi, M.M.[Miao-Miao], Liu, S.Y.[Shi-Yin], Yao, X.J.[Xiao-Jun], Xie, F.M.[Fu-Ming], Gao, Y.P.[Yong-Peng],
Monitoring the Ice Phenology of Qinghai Lake from 1980 to 2018 Using Multisource Remote Sensing Data and Google Earth Engine,
RS(12), No. 14, 2020, pp. xx-yy.
DOI Link 2007

Ghiasi, Y.[Yusof], Duguay, C.R.[Claude R.], Murfitt, J.[Justin], van der Sanden, J.J.[Joost J.], Thompson, A.[Aaron], Drouin, H.[Hugo], Prévost, C.[Christian],
Application of GNSS Interferometric Reflectometry for the Estimation of Lake Ice Thickness,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009

Tom, M.[Manu], Prabha, R.[Rajanie], Wu, T.Y.[Tian-Yu], Baltsavias, E.[Emmanuel], Leal-Taixé, L.[Laura], Schindler, K.[Konrad],
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011

Su, L.[Lei], Che, T.[Tao], Dai, L.Y.[Li-Yun],
Variation in Ice Phenology of Large Lakes over the Northern Hemisphere Based on Passive Microwave Remote Sensing Data,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104

Pointner, G.[Georg], Bartsch, A.[Annett],
Mapping Arctic Lake Ice Backscatter Anomalies Using Sentinel-1 Time Series on Google Earth Engine,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

Zhang, X.W.[Xiu-Wei], Zhou, Y.[Yang], Jin, J.J.[Jiao-Jiao], Wang, Y.[Yafei], Fan, M.H.[Min-Hao], Wang, N.[Ning], Zhang, Y.N.[Yan-Ning],
ICENETv2: A Fine-Grained River Ice Semantic Segmentation Network Based on UAV Images,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Zhang, X.[Xin], Wang, K.[Kaicun], Kirillin, G.[Georgiy],
An Automatic Method to Detect Lake Ice Phenology Using MODIS Daily Temperature Imagery,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107

Liu, C.[Chong], Huang, H.B.[Hua-Bing], Hui, F.M.[Feng-Ming], Zhang, Z.Q.[Zi-Qian], Cheng, X.[Xiao],
Fine-Resolution Mapping of Pan-Arctic Lake Ice-Off Phenology Based on Dense Sentinel-2 Time Series Data,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107

Li, Z.J.[Zhi-Jun], Wang, Q.K.[Qing-Kai], Tang, M.G.[Ming-Guang], Lu, P.[Peng], Li, G.Y.[Guo-Yu], Leppäranta, M.[Matti], Huotari, J.[Jussi], Arvola, L.[Lauri], Shi, L.J.[Li-Juan],
Diurnal Cycle Model of Lake Ice Surface Albedo: A Case Study of Wuliangsuhai Lake,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109

Dabboor, M.[Mohammed], Shokr, M.[Mohammed],
Sensitivity of Compact Polarimetric SAR Parameters to Modeled Lake Ice Growth,
GeoRS(59), No. 12, December 2021, pp. 9953-9967.
Lakes, Ice, Synthetic aperture radar, Ice thickness, Snow, Radar, Atmospheric modeling, Bubble in lake ice, lake ice BibRef

Hao, X.H.[Xiao-Hua], Yang, Q.[Qian], Shi, X.G.[Xiao-Guang], Liu, X.M.[Xue-Mei], Huang, W.F.[Wen-Feng], Chen, L.W.[Li-Wen], Ma, Y.[Yue],
Fractal-Based Retrieval and Potential Driving Factors of Lake Ice Fractures of Chagan Lake, Northeast China Using Landsat Remote Sensing Images,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112

Zhang, J.[Jue], He, P.[Ping], Hu, X.P.[Xiao-Ping], Liu, Z.[Zhumei],
Dynamic Lake Ice Movement on Lake Khovsgol, Mongolia, Revealed by Time Series Displacements from Pixel Offset with Sentinel-2 Optical Images,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112

Saberi, N.[Nastaran], Scott, K.A.[Katharine Andrea], Duguay, C.[Claude],
Incorporating Aleatoric Uncertainties in Lake Ice Mapping Using RADARSAT-2 SAR Images and CNNs,
RS(14), No. 3, 2022, pp. xx-yy.
DOI Link 2202

Tuttle, S.E.[Samuel E.], Roof, S.R.[Steven R.], Retelle, M.J.[Michael J.], Werner, A.[Alan], Gunn, G.E.[Grant E.], Bunting, E.L.[Erin L.],
Evaluation of Satellite-Derived Estimates of Lake Ice Cover Timing on Linnevatnet, Kapp Linne;, Svalbard Using In-Situ Data,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204

Sola, D.[Daniel], Scott, K.A.[K. Andrea],
Efficient Shallow Network for River Ice Segmentation,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206

Wei, Q.X.[Qi-Xin], Yao, X.J.[Xiao-Jun], Zhang, H.F.[Hong-Fang], Duan, H.Y.[Hong-Yu], Jin, H.[Huian], Chen, J.[Jie], Cao, J.[Juan],
Analysis of the Variability and Influencing Factors of Ice Thickness during the Ablation Period in Qinghai Lake Using the GPR Ice Monitoring System,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206

Zhang, H.[Huan], Li, H.Y.[Hong-Yi], Li, H.J.[Hao-Jie],
Monitoring the Ice Thickness in High-Order Rivers on the Tibetan Plateau with Dual-Polarized C-Band Synthetic Aperture Radar,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206

Zhang, H.F.[Hong-Fang], Yao, X.J.[Xiao-Jun], Wei, Q.X.[Qi-Xin], Duan, H.Y.[Hong-Yu], Zhang, Y.[Yuan],
Comparison of Lake Ice Extraction Methods Based on MODIS Images,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210

Hou, G.Y.[Guan-Yu], Yuan, X.L.[Xiu-Liang], Wu, S.X.[Shi-Xin], Ma, X.F.[Xiao-Fei], Zhang, Z.[Zihui], Cao, X.W.[Xing-Wen], Xie, C.H.[Cong-Hui], Ling, Q.[Qing], Long, W.Y.[Wei-Yi], Luo, G.[Geping],
Phenological Changes and Driving Forces of Lake Ice in Central Asia from 2002 to 2020,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210

Palomaki, R.T.[Ross T.], Sproles, E.A.[Eric A.],
Quantifying the Effect of River Ice Surface Roughness on Sentinel-1 SAR Backscatter,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212

Li, Z.J.[Zhi-Jun], Li, C.J.[Chun-Jiang], Yang, Y.[Yu], Zhang, B.[Baosen], Deng, Y.[Yu], Li, G.Y.[Guo-Yu],
Physical Mechanism and Parameterization for Correcting Radar Wave Velocity in Yellow River Ice with Air Temperature and Ice Thickness,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303

Li, C.J.[Chun-Jiang], Li, Z.J.[Zhi-Jun], Huang, W.F.[Wen-Feng], Zhang, B.[Baosen], Deng, Y.[Yu], Li, G.Y.[Guo-Yu],
Morphology Dynamics of Ice Cover in a River Bend Revealed by the UAV-GPR and Sentinel-2,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307

Sojka, M.[Mariusz], Ptak, M.[Mariusz], Zhu, S.[Senlin],
Use of Landsat Satellite Images in the Assessment of the Variability in Ice Cover on Polish Lakes,
RS(15), No. 12, 2023, pp. xx-yy.
DOI Link 2307

Temimi, M.[Marouane], Abdelkader, M.[Mohamed], Tounsi, A.[Achraf], Chaouch, N.[Naira], Carter, S.[Shawn], Sjoberg, B.[Bill], Macneil, A.[Alison], Bingham-Maas, N.[Norman],
An Automated System to Monitor River Ice Conditions Using Visible Infrared Imaging Radiometer Suite Imagery,
RS(15), No. 20, 2023, pp. 4896.
DOI Link 2310

Los, H., Osinska-Skotak, K., Pluto-Kossakowska, J., Bernier, M., Gauthier, Y., Jasek, M., Roth, A.,
Comparison Of C-band And X-band Polarimetric SAR Data for River Ice Classification On The Peace River,
ISPRS16(B7: 543-548).
DOI Link 1610

Bharathi, P.T., Subashini, P.,
Texture based color segmentation for infrared river ice images using K-means clustering,

Xu, Q.[Qi], Liu, L.M.[Liang-Ming], Zhou, Z.[Zheng], Zhang, L.F.[Le-Fei],
Detection of river ice using relevance vector machine,

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Ice Sheet Analysis .

Last update:Dec 8, 2023 at 20:54:15