22.3.4 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.
IEEE DOI 1305
BibRef

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.
IEEE DOI 1403
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
BibRef

Tian, B.[Bangsen], Li, Z.[Zhen], Engram, M.J.[Melanie J.], Niu, F.[Fujun], Tang, P.[Panpan], 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
BibRef
Earlier: A2, A1, A5, Only:
The backscattering characteristics of thermokarst lake ice in the qinghai-tibet plateau from SAR,
Thematic14(119-126).
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
BibRef

Dorofy, P.[Peter], Nazari, R.[Rouzbeh], and, P.R.[Peter Romanov], Key, J.[Jeffrey],
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
BibRef

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
BibRef

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
BibRef

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.
IEEE DOI 1706
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.
IEEE DOI 1710
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.
IEEE DOI 1712
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.
IEEE DOI 1805
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
BibRef

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
BibRef

Wang, J.[Junqian], 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
BibRef

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
BibRef

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
BibRef

Zhang, X.[Xiuwei], Jin, J.[Jiaojiao], Lan, Z.[Zeze], Li, C.J.[Chun-Jiang], Fan, M.[Minhao], Wang, Y.[Yafei], Yu, X.[Xin], Zhang, Y.[Yanning],
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
BibRef

Singh, A., Kalke, H., Loewen, M., Ray, N.,
River Ice Segmentation With Deep Learning,
GeoRS(58), No. 11, November 2020, pp. 7570-7579.
IEEE DOI 2011
Ice, Rivers, Image segmentation, Cameras, Computer architecture, 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
BibRef

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
BibRef

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
BibRef

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
BibRef

Tom, M.[Manu], Prabha, R.[Rajanie], Wu, T.[Tianyu], 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
BibRef

Su, L.[Lei], Che, T.[Tao], Dai, L.[Liyun],
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
BibRef

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
BibRef

Han, W.X.[Wei-Xiao], Huang, C.L.[Chun-Lin], Gu, J.[Juan], Hou, J.L.[Jin-Liang], Zhang, Y.[Ying],
Spatial-Temporal Distribution of the Freeze-Thaw Cycle of the Largest Lake (Qinghai Lake) in China Based on Machine Learning and MODIS from 2000 to 2020,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Zhang, X.[Xiuwei], Zhou, Y.[Yang], Jin, J.[Jiaojiao], Wang, Y.[Yafei], Fan, M.[Minhao], 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
BibRef


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
BibRef

Bharathi, P.T., Subashini, P.,
Texture based color segmentation for infrared river ice images using K-means clustering,
ICSIPR13(298-302).
IEEE DOI 1304
BibRef

Xu, Q.[Qi], Liu, L.M.[Liang-Ming], Zhou, Z.[Zheng], Zhang, L.F.[Le-Fei],
Detection of river ice using relevance vector machine,
IASP11(538-541).
IEEE DOI 1112
BibRef

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


Last update:Jul 11, 2021 at 20:18:24