Articles | Volume 17, issue 2
https://doi.org/10.5194/tc-17-959-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-17-959-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Mar 2023
Research article |
| 01 Mar 2023
| 01 Mar 2023
Fusion of Landsat 8 Operational Land Imager and Geostationary Ocean Color Imager for hourly monitoring surface morphology of lake ice with high resolution in Chagan Lake of Northeast China
Qian Yang
School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, China
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, China
Xiaoguang Shi
School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, China
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, China
Weibang Li
School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, China
Kaishan Song
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, China
Zhijun Li
State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
Xiaohua Hao
Northwest Institute of Eco-Environment and Resources, Chinese
Academy of Sciences, Lanzhou 730000, China
Fei Xie
State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian 116024, China
Nan Lin
School of Geomatics and Prospecting Engineering, Jilin Jianzhu University, Changchun 130118, China
Zhidan Wen
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, China
Chong Fang
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, China
Ge Liu
CORRESPONDING AUTHOR
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Remote Sensing and Geographic Information Research Center, Changchun 130102, China
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Earth Syst. Sci. Data, 13, 4711–4726, https://doi.org/10.5194/essd-13-4711-2021, https://doi.org/10.5194/essd-13-4711-2021, 2021
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Long-term snow cover data are not only of importance for climate research. Currently China still lacks a high-quality snow cover extent (SCE) product for climate research. This study develops a multi-level decision tree algorithm for cloud and snow discrimination and gap-filled technique based on AVHRR surface reflectance data. We generate a daily 5 km SCE product across China from 1981 to 2019. It has high accuracy and will serve as baseline data for climate and other applications.
Qian Yang, Kaishan Song, Xiaohua Hao, Zhidan Wen, Yue Tan, and Weibang Li
The Cryosphere, 14, 3581–3593, https://doi.org/10.5194/tc-14-3581-2020, https://doi.org/10.5194/tc-14-3581-2020, 2020
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Using daily ice records of 156 hydrological stations across Songhua River Basin, we examined the spatial variability in the river ice phenology and river ice thickness from 2010 to 2015 and explored the role of snow depth and air temperature on the ice thickness. Snow cover correlated with ice thickness significantly and positively when the freshwater was completely frozen. Cumulative air temperature of freezing provides a better predictor than the air temperature for ice thickness modeling.
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Zhidan Wen, Kaishan Song, Chong Fang, Qian Yang, Ge Liu, Yingxin Shang, and Xiaodi Wang
Biogeosciences Discuss., https://doi.org/10.5194/bg-2018-348, https://doi.org/10.5194/bg-2018-348, 2018
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The spatial distribution of the attenuation of photosynthetic active radiation (Kd(PAR)) was routinely estimated in China lakes and reservoirs. The light absorption coefficient of OACs could explain 70 %–87 % of Kd(PAR) variations. Kd(PAR) could be predicted from aOACs values in the inland waters. Besides, results of this study are suggesting that new studies on the variability of Kd(PAR) in inland waters must consider the hydrodynamic conditions, trophic status and OACs within the water column.
Kaishan Song, Sijia Li, Zhidan Wen, Lili Lyu, and Yingxin Shang
Biogeosciences Discuss., https://doi.org/10.5194/bg-2018-259, https://doi.org/10.5194/bg-2018-259, 2018
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Inland lakes are a direct link among the land, atmospheric and oceans (via rivers). Little is currently known about colored dissolved organic matter and its relationship with water quality in lakes across the Tibet Plateau. For these brackish and saline lakes, a high salt content with accumulation of carbon and low organic colored dissolved matter in brackish lakes, indicating the influence of strong evapoconcentration, intense ultraviolet irradiance and landscapes.
Peng Lu, Matti Leppäranta, Bin Cheng, Zhijun Li, Larysa Istomina, and Georg Heygster
The Cryosphere, 12, 1331–1345, https://doi.org/10.5194/tc-12-1331-2018, https://doi.org/10.5194/tc-12-1331-2018, 2018
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It is the first time that the color of melt ponds on Arctic sea ice was quantitatively and thoroughly investigated. We answer the question of why the color of melt ponds can change and what the physical and optical reasons are that lead to such changes. More importantly, melt-pond color was provided as potential data in determining ice thickness, especially under the summer conditions when other methods such as remote sensing are unavailable.
Kaishan Song, Ying Zhao, Zhidan Wen, Chong Fang, and Yingxin Shang
Hydrol. Earth Syst. Sci., 21, 5127–5141, https://doi.org/10.5194/hess-21-5127-2017, https://doi.org/10.5194/hess-21-5127-2017, 2017
Kaishan Song, Ying Zhao, Zhidan Wen, Jianhang Ma, Tiantian Shao, Chong Fang, and Yingxin Shang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2016-380, https://doi.org/10.5194/hess-2016-380, 2016
Revised manuscript not accepted
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CDOM has strong link with DOC, which sets the basis for remote estimation of DOC in waters. However, the relationships between DOC and CDOM absorption for different types of inland waters may vary which worth further systematic investigations. Samples from fresh lakes, saline lakes, rivers, urban water bodies, ice-covered lakes were measured to examine the relationship between DOC and CDOM. The regression model slopes range from 1.03 for urban waters to 3.13 for river water.
Ying Zhao, Kaishan Song, Zhidan Wen, Lin Li, Shuying Zang, Tiantian Shao, Sijia Li, and Jia Du
Biogeosciences, 13, 1635–1645, https://doi.org/10.5194/bg-13-1635-2016, https://doi.org/10.5194/bg-13-1635-2016, 2016
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Our results of this study show that two humic-like C peaks and two protein-like B and T peaks were identified from CDOM using PARAFAC for investigated lakes. The average fluorescence intensity of the components differed seasonally. Components 1 and 2 exhibited strong linear correlation (R2 = 0.63). Significantly positive linear relationships, between aCDOM and Fmax, and between DOC and salinity (R2 = 0.93), were revealed.
Z. D. Wen, K. S. Song, Y. Zhao, J. Du, and J. H. Ma
Hydrol. Earth Syst. Sci., 20, 787–801, https://doi.org/10.5194/hess-20-787-2016, https://doi.org/10.5194/hess-20-787-2016, 2016
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The study indicated that CDOM in rivers had higher aromaticity, molecular weight, and vascular plant contribution than in terminal lakes in the Hulun Buir plateau, Northeast China. The autochthonous sources of CDOM in plateau waters were higher than in other freshwater rivers reported in the literature. Study of the optical–physicochemical correlations is helpful in the evaluation of the potential influence of water quality factors on non-water light absorption in plateau water environments.
Related subject area
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The under-ice water temperature of Ngoring Lake has been rising based on in situ observations. We obtained results showing that strong downward shortwave radiation is the main meteorological factor, and precipitation, wind speed, downward longwave radiation, air temperature, ice albedo, and ice extinction coefficient have an impact on the range and rate of lake temperature rise. Once the ice breaks, the lake body releases more energy than other lakes, whose water temperature remains horizontal.
Stefan Norrgård and Samuli Helama
The Cryosphere, 16, 2881–2898, https://doi.org/10.5194/tc-16-2881-2022, https://doi.org/10.5194/tc-16-2881-2022, 2022
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We examined changes in the dates of ice break-ups in three Finnish rivers since the 1700s. The analyses show that ice break-ups nowadays occur earlier in spring than in previous centuries. The changes are pronounced in the south, and both rivers had their first recorded years without a complete ice cover in the 21st century. These events occurred during exceptionally warm winters and show that climate extremes affect the river-ice regime in southwest Finland differently than in the north.
Sofia Hallerbäck, Laurie S. Huning, Charlotte Love, Magnus Persson, Katarina Stensen, David Gustafsson, and Amir AghaKouchak
The Cryosphere, 16, 2493–2503, https://doi.org/10.5194/tc-16-2493-2022, https://doi.org/10.5194/tc-16-2493-2022, 2022
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Using unique data, some dating back to the 18th century, we show a significant trend in shorter ice duration, later freeze, and earlier break-up dates across Sweden. In recent observations, the mean ice durations have decreased by 11–28 d and the chance of years with an extremely short ice cover duration (less than 50 d) have increased by 800 %. Results show that even a 1 °C increase in air temperatures can result in a decrease in ice duration in Sweden of around 8–23 d.
Wenfeng Huang, Wen Zhao, Cheng Zhang, Matti Leppäranta, Zhijun Li, Rui Li, and Zhanjun Lin
The Cryosphere, 16, 1793–1806, https://doi.org/10.5194/tc-16-1793-2022, https://doi.org/10.5194/tc-16-1793-2022, 2022
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Thermal regimes of seasonally ice-covered lakes in an arid region like Central Asia are not well constrained despite the unique climate. We observed annual and seasonal dynamics of thermal stratification and energetics in a shallow arid-region lake. Strong penetrated solar radiation and high water-to-ice heat flux are the predominant components in water heat balance. The under-ice stratification and convection are jointly governed by the radiative penetration and salt rejection during freezing.
Brianna Rick, Daniel McGrath, William Armstrong, and Scott W. McCoy
The Cryosphere, 16, 297–314, https://doi.org/10.5194/tc-16-297-2022, https://doi.org/10.5194/tc-16-297-2022, 2022
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Glacial lakes impact societies as both resources and hazards. Lakes form, grow, and drain as glaciers thin and retreat, and understanding lake evolution is a critical first step in assessing their hazard potential. We map glacial lakes in Alaska between 1984 and 2019. Overall, lakes grew in number and area, though lakes with different damming material (ice, moraine, bedrock) behaved differently. Namely, ice-dammed lakes decreased in number and area, a trend lost if dam type is not considered.
Elena Zakharova, Svetlana Agafonova, Claude Duguay, Natalia Frolova, and Alexei Kouraev
The Cryosphere, 15, 5387–5407, https://doi.org/10.5194/tc-15-5387-2021, https://doi.org/10.5194/tc-15-5387-2021, 2021
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The paper investigates the performance of altimetric satellite instruments to detect river ice onset and melting dates and to retrieve ice thickness of the Ob River. This is a first attempt to use satellite altimetry for monitoring ice in the challenging conditions restrained by the object size. A novel approach permitted elaboration of the spatiotemporal ice thickness product for the 400 km river reach. The potential of the product for prediction of ice road operation was demonstrated.
Alexei V. Kouraev, Elena A. Zakharova, Andrey G. Kostianoy, Mikhail N. Shimaraev, Lev V. Desinov, Evgeny A. Petrov, Nicholas M. J. Hall, Frédérique Rémy, and Andrey Ya. Suknev
The Cryosphere, 15, 4501–4516, https://doi.org/10.5194/tc-15-4501-2021, https://doi.org/10.5194/tc-15-4501-2021, 2021
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Giant ice rings are a beautiful and puzzling natural phenomenon. Our data show that ice rings are generated by lens-like warm eddies below the ice. We use multi-satellite data to analyse lake ice cover in the presence of eddies in April 2020 in southern Baikal. Unusual changes in ice colour may be explained by the competing influences of atmosphere above and the warm eddy below the ice. Tracking ice floes also helps to estimate eddy currents and their influence on the upper water layer.
James Ehrman, Shawn Clark, and Alexander Wall
The Cryosphere, 15, 4031–4046, https://doi.org/10.5194/tc-15-4031-2021, https://doi.org/10.5194/tc-15-4031-2021, 2021
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This research proposes and tests new methods for the estimation of the surface roughness of newly formed river ice covers. The hypothesis sought to determine if surface ice roughness was indicative of the subsurface. Ice roughness has consequences for winter flow characteristics of rivers and can greatly impact river ice jams. Remotely piloted aircraft and photogrammetry were used, and good correlation was found between the observed surface ice roughness and estimated subsurface ice roughness.
John R. Marko and David R. Topham
The Cryosphere, 15, 2473–2489, https://doi.org/10.5194/tc-15-2473-2021, https://doi.org/10.5194/tc-15-2473-2021, 2021
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Acoustic backscattering data from Peace River frazil events are interpreted to develop a quantitative model of interactions between ice particles in the water column and riverbed ice layers. Two generic behaviours, evident in observed time variability, are linked to differences in the relative stability of in situ anchor ice layers which develop at the beginning of each frazil interval and are determined by cooling rates. Changes in these layers are shown to control water column frazil content.
Iman E. Gharamti, John P. Dempsey, Arttu Polojärvi, and Jukka Tuhkuri
The Cryosphere, 15, 2401–2413, https://doi.org/10.5194/tc-15-2401-2021, https://doi.org/10.5194/tc-15-2401-2021, 2021
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We study the creep and fracture behavior of 3 m × 6 m floating edge-cracked rectangular plates of warm columnar freshwater S2 ice under creep/cyclic-recovery loading and monotonic loading to fracture. Under the testing conditions, the ice response was elastic–viscoplastic; no significant viscoelasticity or major recovery was detected. There was no clear effect of the creep/cyclic loading on the fracture properties: failure load and crack opening displacements at crack growth initiation.
Andrew M. W. Newton and Donal J. Mullan
The Cryosphere, 15, 2211–2234, https://doi.org/10.5194/tc-15-2211-2021, https://doi.org/10.5194/tc-15-2211-2021, 2021
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This paper investigates changes in the dates of ice freeze-up and breakup for 678 Northern Hemisphere lakes and rivers from 1931–2005. From 3510 time series, the results show that breakup dates have gradually occurred earlier through time, whilst freeze-up trends have tended to be significantly more variable. These data combined show that the number of annual open-water days has increased through time for most sites, with the magnitude of change at its largest in more recent years.
Ines Spangenberg, Pier Paul Overduin, Ellen Damm, Ingeborg Bussmann, Hanno Meyer, Susanne Liebner, Michael Angelopoulos, Boris K. Biskaborn, Mikhail N. Grigoriev, and Guido Grosse
The Cryosphere, 15, 1607–1625, https://doi.org/10.5194/tc-15-1607-2021, https://doi.org/10.5194/tc-15-1607-2021, 2021
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Thermokarst lakes are common on ice-rich permafrost. Many studies have shown that they are sources of methane to the atmosphere. Although they are usually covered by ice, little is known about what happens to methane in winter. We studied how much methane is contained in the ice of a thermokarst lake, a thermokarst lagoon and offshore. Methane concentrations differed strongly, depending on water body type. Microbes can also oxidize methane in ice and lower the concentrations during winter.
Tadros R. Ghobrial and Mark R. Loewen
The Cryosphere, 15, 49–67, https://doi.org/10.5194/tc-15-49-2021, https://doi.org/10.5194/tc-15-49-2021, 2021
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Anchor ice typically forms on riverbeds during freeze-up and can alter the river ice regime. Most of the knowledge on anchor ice mechanisms has been attributed to lab experiments. This study presents for the first time insights into anchor ice initiation, growth, and release in rivers using an underwater camera system. Three stages of growth and modes of release have been identified. These results will improve modelling capabilities in predicting the effect of anchor ice on river ice regimes.
Anna Chesnokova, Michel Baraër, and Émilie Bouchard
The Cryosphere, 14, 4145–4164, https://doi.org/10.5194/tc-14-4145-2020, https://doi.org/10.5194/tc-14-4145-2020, 2020
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In the context of a ubiquitous increase in winter discharge in cold regions, our results show that icing formations can help overcome the lack of direct observations in these remote environments and provide new insights into winter runoff generation. The multi-technique approach used in this study provided important information about the water sources active during the winter season in the headwaters of glacierized catchments.
Qian Yang, Kaishan Song, Xiaohua Hao, Zhidan Wen, Yue Tan, and Weibang Li
The Cryosphere, 14, 3581–3593, https://doi.org/10.5194/tc-14-3581-2020, https://doi.org/10.5194/tc-14-3581-2020, 2020
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Using daily ice records of 156 hydrological stations across Songhua River Basin, we examined the spatial variability in the river ice phenology and river ice thickness from 2010 to 2015 and explored the role of snow depth and air temperature on the ice thickness. Snow cover correlated with ice thickness significantly and positively when the freshwater was completely frozen. Cumulative air temperature of freezing provides a better predictor than the air temperature for ice thickness modeling.
Christopher D. Arp, Jessica E. Cherry, Dana R. N. Brown, Allen C. Bondurant, and Karen L. Endres
The Cryosphere, 14, 3595–3609, https://doi.org/10.5194/tc-14-3595-2020, https://doi.org/10.5194/tc-14-3595-2020, 2020
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River and lake ice thickens at varying rates geographically and from year to year. We took a closer look at ice growth across a large geographic region experiencing rapid climate change, the State of Alaska, USA. Slower ice growth was most pronounced in northern Alaskan lakes over the last 60 years. Western and interior Alaska ice showed more variability in thickness and safe travel duration. This analysis provides a comprehensive evaluation of changing freshwater ice in Alaska.
Cited articles
Arp, C. D., Cherry, J. E., Brown, D. R. N., Bondurant, A. C., and Endres, K. L.: Observation-derived ice growth curves show patterns and trends in maximum ice thickness and safe travel duration of Alaskan lakes and rivers, The Cryosphere, 14, 3595–3609, https://doi.org/10.5194/tc-14-3595-2020, 2020.
Bai, L., Cai, J., Liu, Y., Chen, H., Zhang, B., and Huang, L.: Responses of
field evapotranspiration to the changes of cropping pattern and groundwater
depth in large irrigation district of Yellow River basin, Agr. Water.
Manage., 188, 1–11, https://doi.org/10.1016/j.agwat.2017.03.028, 2017.
Bojinski, S., Verstraete, M., Peterson, T. C., Richter, C., Simmons, A., and
Zemp, M.: The concept of essential climate variables in support of climate
research, applications, and policy, B. Am. Meteorol. Soc., 95, 1431–1443,
https://doi.org/10.1175/bams-d-13-00047.1, 2014.
Brown, L. C. and Duguay, C. R.: The response and role of ice cover in
lake-climate interactions, Prog. Phys. Geog., 34, 671–704,
https://doi.org/10.1177/0309133310375653, 2010.
Cai, Y., Ke, C. Q., and Duan, Z.: Monitoring ice variations in Qinghai Lake
from 1979 to 2016 using passive microwave remote sensing data, Sci. Total
Environ., 607, 120–131, https://doi.org/10.1016/j.scitotenv.2017.07.027, 2017.
Cai, Y., Ke, C. Q., Li, X., Zhang, G., Duan, Z., and Lee, H.: Variations of
lake ice phenology on the Tibetan Plateau from 2001 to 2017 based on MODIS
data, J. Geophys. Res.-Atmos., 124, 825–843, https://doi.org/10.1029/2018jd028993, 2019.
Canny, J.: A computational approach to edge detection, IEEE T. Pattern
Anal., 8, 679–698, 1986.
Dierking, W.: Mapping of different sea ice regimes using images from
Sentinel-1 and ALOS synthetic aperture radar, IEEE T. Geosci. Remote., 48,
1045–1058, https://doi.org/10.1109/TGRS.2009.2031806, 2010.
Doernhoefer, K. and Oppelt, N.: Remote sensing for lake research and
monitoring – Recent advances, Ecol. Indic., 64, 105–122,
https://doi.org/10.1016/j.ecolind.2015.12.009, 2016.
Du, J., Kimball, J. S., Duguay, C., Kim, Y., and Watts, J. D.: Satellite microwave assessment of Northern Hemisphere lake ice phenology from 2002 to 2015, The Cryosphere, 11, 47–63, https://doi.org/10.5194/tc-11-47-2017, 2017.
Du, J., Watts, J. D., Jiang, L., Lu, H., Cheng, X., Duguay, C., Farina, M.,
Qiu, Y., Kim, Y., Kimball, J. S., and Tarolli, P.: Remote sensing of
environmental changes in cold regions: Methods, achievements and challenges,
Remote. Sens., 11, 1592, https://doi.org/10.3390/rs11161952, 2019.
Duan, H., Zhang, Y., Zhang, B., Song, K., and Wang, Z.: Assessment of
chlorophyll-a concentration and trophic state for Lake Chagan using Landsat
TM and field spectral data, Environ. Monit. Assess., 129, 295–308,
https://doi.org/10.1007/s10661-006-9362-y, 2007.
Feng, G., Masek, J., Schwaller, M., and Hall, F.: On the blending of the
Landsat and MODIS surface reflectance: predicting daily Landsat surface
reflectance, IEEE T. Geosci. Remote., 44, 2207–2218,
https://doi.org/10.1109/tgrs.2006.872081, 2006.
Geldsetzer, T., Sanden, J. V. D., and Brisco, B.: Monitoring lake ice during
spring melt using RADARSAT-2 SAR, Can. J. Remote Sens., 36, S391–S400, 2010.
Gogineni, P. and Yan, J.-B.: Remote sensing of ice thickness and surface
velocity, in: Remote Sensing of the Cryosphere, edited by: Tedesco, M., John
Wiley & Sons, Ltd., https://doi.org/10.1002/9781118368909.ch9, 2015.
Gusmeroli, A. and Grosse, G.: Ground penetrating radar detection of subsnow slush on ice-covered lakes in interior Alaska, The Cryosphere, 6, 1435–1443, https://doi.org/10.5194/tc-6-1435-2012, 2012.
Hao, X., Yang, Q., Shi, X., Liu, X., Huang, W., Chen, L., and Ma, Y.:
Fractal-based retrieval and potential driving factors of lake ice fractures
of Chagan Lake, Northeast China using Landsat remote sensing images, Remote
Sens., 13, 4233, https://doi.org/10.3390/rs13214233, 2021.
Hilker, T., Wulder, M. A., Coops, N. C., Linke, J., McDermid, G., Masek, J.
G., Gao, F., and White, J. C.: A new data fusion model for high spatial- and
temporal-resolution mapping of forest disturbance based on Landsat and
MODIS, Remote Sens. Environ., 113, 1613–1627, https://doi.org/10.1016/j.rse.2009.03.007,
2009.
Hoekstra, M., Jiang, M., Clausi, D. A., and Duguay, C.: Lake ice-water
classification of RADARSAT-2 images by integrating IRGS Segmentation with
pixel-based random forest labeling, Remote Sens., 12, 1425, https://doi.org/10.3390/rs12091425,
2020.
Howell, S. E. L., Brown, L. C., Kang, K.-K., and Duguay, C. R.: Variability
in ice phenology on Great Bear Lake and Great Slave Lake, Northwest
Territories, Canada, from SeaWinds/QuikSCAT: 2000–2006, Remote Sens.
Environ., 113, 816–834, https://doi.org/10.1016/j.rse.2008.12.007, 2009.
IPCC: Climate change 2021: The physical science basis., Contribution of
Working Group I to the Sixth Assessment Report of the Intergovernmental
Panel on Climate Change, https://iupac.org/climate-change-2021-the-physical-science-basis/ (last access: 16 February 2022), 2021.
Jarihani, A., McVicar, T., Van Niel, T., Emelyanova, I., Callow, J., and
Johansen, K.: Blending Landsat and MODIS data to generate multispectral
indices: A comparison of “Index-then-Blend” and “Blend-then-Index”
approaches, Remote Sens., 6, 9213–9238, https://doi.org/10.3390/rs6109213, 2014.
Jeffries, M. O., Morris, K., and Kozlenko, N.: Ice characteristics and
processes, and remote sensing of frozen rivers and lakes, in: Remote Sensing
in Northern Hydrology: Measuring Environmental Change, edited by:
Pietroniro, C. R. D. A., https://doi.org/10.1029/GM163, 2013.
Jones, B. M., Gusmeroli, A., Arp, C. D., Strozzi, T., Grosse, G., Gaglioti, B. V., and Whitman, M. S.: Classification of freshwater ice conditions on the Alaskan Arctic Coastal Plain using ground penetrating radar and TerraSAR-X satellite data, Int. J. Remote Sens., 34, 8267–8279, https://doi.org/10.1080/2150704X.2013.834392, 2013.
Kang, K.-K. K., Duguay, C. R., Lemmetyinen, J., and Gel, Y.: Estimation of
ice thickness on large northern lakes from AMSR-E brightness temperature
measurements, Remote Sens. Environ., 150, 1–19, 2014.
Ke, C.-Q., Tao, A.-Q., and Jin, X.: Variability in the ice phenology of Nam
Co Lake in central Tibet from scanning multichannel microwave radiometer and
special sensor microwave/imager: 1978 to 2013, J. Appl. Remote. Sens., 7, 073477,
https://doi.org/10.1117/1.Jrs.7.073477, 2013.
Knauer, K., Gessner, U., Fensholt, R., and Kuenzer, C.: An ESTARFM fusion
framework for the generation of large-scale time series in cloud-prone and
heterogeneous landscapes, Remote. Sens., 8, 425, https://doi.org/10.3390/rs8050425, 2016.
Lang, J., Lyu, S., Li, Z., Ma, Y., and Su, D.: An investigation of ice
surface albedo and its influence on the high-altitude lakes of the Tibetan
Plateau, Remote. Sens., 10, 218, https://doi.org/10.3390/rs10020218, 2018.
Leppäranta, M.: Modelling the formation and decay of lake ice, in: The
Impact of Climate Change on European Lakes, edited by: George, G., Springer
Netherlands, Dordrecht, 63–83, https://doi.org/10.1007/978-90-481-2945-4_5,
2010.
Leppäranta, M.: Freezing of lakes and the evolution of their ice cover,
Springer Science & Business Media, https://doi.org/10.1007/978-3-642-29081-7, 2015.
Li, W., Lu, P., Li, Z., Zhuang, F., Lu, Z., and Li, G.: Analysis of ice
cracks morphology on lake surface of Lake Wuliangsuhai in the winter of
2017–2018, J. Glaciol. Geocry., 42, 919–926,
https://doi.org/10.7522/j.issn.1000-0240.2020.0066, 2020 (in Chinese).
Li, Z., Ao, Y., Lyu, S., Lang, J., Wen, L., Stepanenko, V., Meng, X., and
Zhao, L. I. N.: Investigation of the ice surface albedo in the Tibetan
Plateau lakes based on the field observation and MODIS products, J.
Glaciol., 64, 506–516, https://doi.org/10.1017/jog.2018.35, 2018.
Liu, C., Duan, P., Zhang, F., Jim, C.-Y., Tan, M. L., and Chan, N. W.:
Feasibility of the spatiotemporal fusion model in monitoring Ebinur Lake's
suspended particulate matter under the missing-data scenario, Remote Sens.,
13, 3952, https://doi.org/10.3390/rs13193952, 2021.
Liu, M., Liu, X., Wu, L., Zou, X., Jiang, T., and Zhao, B.: A modified
spatiotemporal fusion algorithm using phenological information for
predicting reflectance of paddy Rice in Southern China, Remote Sens., 10, 772,
https://doi.org/10.3390/rs10050772, 2018.
Liu, X., Li, B., Li, Z., and Shen, W.: A new fracture model for reservoir
ice layers in the northeast cold region of China, Constr. Build. Mater.,
191, 795–811, https://doi.org/10.1016/j.conbuildmat.2018.10.050, 2018.
Liu, X., Zhang, G., Sun, G., Wu, Y., and Chen, Y.: Assessment of Lake water
quality and eutrophication risk in an agricultural irrigation area: A case
study of the Chagan Lake in Northeast China, Water, 11, 2380, https://doi.org/10.3390/w11112380,
2019.
Liu, X., Zhang, G., Zhang, J., Xu, Y. J., Wu, Y., Wu, Y., Sun, G., Chen, Y.,
and Ma, H.: Effects of irrigation discharge on salinity of a large
freshwater lake: A case study in Chagan Lake, Northeast China, Water, 12, 2112,
https://doi.org/10.3390/w12082112, 2020.
Lu, Y., Wu, P., Ma, X., and Li, X.: Detection and prediction of land
use/land cover change using spatiotemporal data fusion and the Cellular
Automata–Markov model, Environ. Monit. Assess., 191, 68,
https://doi.org/10.1007/s10661-019-7200-2, 2019.
Magnuson, J. J., Robertson, D. M., Benson, B. J., Wynne, R. H., Livingstone,
D. M., Arai, T., Assel, R. A., Barry, R. G., Card, V., Kuusisto, E., Granin,
N. G., Prowse, T. D., Stewart, K. M., and Vuglinski, V. S.: Historical
trends in lake and river ice cover in the Northern Hemisphere, Science, 289,
1743–1746, https://doi.org/10.1126/science.289.5485.1743, 2000.
Murfitt, J. and Duguay, C. 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, Remote Sens., 12, 382,
https://doi.org/10.3390/rs12030382, 2020.
Murfitt, J. and Duguay, C. R.: 50 years of lake ice research from active
microwave remote sensing: Progress and prospects, Remote Sens. Environ.,
264, 112616, https://doi.org/10.1016/j.rse.2021.112616, 2021.
Murfitt, J., Brown, L. C., and Howell, S. E. L.: Evaluating RADARSAT-2 for
the monitoring of lake ice phenology events in mid-latitudes, Remote Sens.,
10, 1641, https://doi.org/10.3390/rs10101641, 2018a.
Murfitt, J. C., Brown, L. C., and Howell, S. E.: Estimating lake ice
thickness in Central Ontario, Plos one, 13, e0208519, https://doi.org/10.1371/journal.pone.0208519, 2018b.
Qi, M., Liu, S., Yao, X., Xie, F., and Gao, Y.: Monitoring the ice phenology
of Qinghai Lake from 1980 to 2018 using multisource remote sensing data and
Google Earth Engine, Remote Sens, 12, 2217, https://doi.org/10.3390/rs12142217, 2020.
Qiu, Y., Wang, X., Ruan, Y., Xie, P., Zhong, Y., and Yang, S.: Passive
microwave remote sensing of lake freeze-thawing over Qinghai-Tibet Plateau,
J. Lake. Sci., 30, 1438–1449, 2018 (in Chinese).
Ryu, J. H. and Ishizaka, J.: GOCI data processing and ocean applications,
Ocean. Sci. J., 47, 221–221, https://doi.org/10.1007/s12601-012-0023-5, 2012.
Ryu, J. H., Han, H. J., Cho, S., Park, Y. J., and Ahn, Y. H.: Overview of
geostationary ocean color imager (GOCI) and GOCI data processing system
(GDPS), Ocean. Sci. J., 47, 223–233, https://doi.org/10.1007/s12601-012-0024-4, 2012.
Sisheber, B., Marshall, M., Mengistu, D., and Nelson, A.: Tracking crop
phenology in a highly dynamic landscape with knowledge-based Landsat–MODIS
data fusion, Int. J. Appl. Earth. Obs., 106, 102670, https://doi.org/10.1016/j.jag.2021.102670,
2022.
Song, K., Wang, Z., Blackwell, J., Zhang, B., Li, F., Zhang, Y., and Jiang,
G.: Water quality monitoring using Landsat Themate Mapper data with
empirical algorithms in Chagan Lake, China, J. Appl. Remote. Sens., 5, 3506,
https://doi.org/10.1117/1.3559497, 2011.
Song, K., Wang, M., Du, J., Yuan, Y., Ma, J., Wang, M., and Mu, G.:
Spatiotemporal variations of lake surface temperature across the Tibetan
Plateau using MODIS LST product, Remote. Sens., 8, 854, https://doi.org/10.3390/rs8100854, 2016.
SROCC: IPCC special report on the ocean and cryosphere in a changing climate Cambridge University Press, Cambridge, UK and New York, NY, USA, https://doi.org/10.1017/9781009157964, 2019.
Tan, B., Li, Z.-j., Lu, P., Haas, C., and Nicolaus, M.: Morphology of sea
ice pressure ridges in the northwestern Weddell Sea in winter, J. Geophys.
Res-Oceans., 117, C06024, https://doi.org/10.1029/2011jc007800, 2012.
Wang, K., Leppäranta, M., and Reinart, A.: Modeling ice dynamics in Lake
Peipsi, Journal Verhandlungen der Internationalen Vereinigung für
theoretische und angewandte Limnologie, 29, 1443–1446, 2006.
Wang, X., Feng, L., Gibson, L., Qi, W., Liu, J., Zheng, Y., Tang, J., Zeng,
Z., and Zheng, C.: High-resolution mapping of ice cover changes in over
33,000 lakes across the North Temperate Zone, Geophys. Res. Lett., 48,
e2021GL095614, https://doi.org/10.1029/2021GL095614, 2021.
Wang, Y., Xie, D., Zhan, Y., Li, H., Yan, G., and Chen, Y.: Assessing the
accuracy of Landsat-MODIS NDVI fusion with limited input data: A strategy
for base data selection, Remote. Sens., 13, 266, https://doi.org/10.3390/rs13020266, 2021.
Weber, H., Riffler, M., Noges, T., and Wunderle, S.: Lake ice phenology from
AVHRR data for European lakes: An automated two-step extraction method,
Remote Sens. Environ., 174, 329–340, https://doi.org/10.1016/j.rse.2015.12.014, 2016.
Wen, Z., Song, K., Shang, Y., Lyu, L., Yang, Q., Fang, C., Du, J., Li, S.,
Liu, G., Zhang, B., and Cheng, S.: Variability of chlorophyll and the
influence factors during winter in seasonally ice-covered lakes, J. Environ.
Manage., 276, 111338, https://doi.org/10.1016/j.jenvman.2020.111338, 2020.
Xie, P., Qiu, Y., Wang, X., Shi, L., and Liang, W.: Lake ice phenology
extraction using machine learning methodology, IOP Conf. Ser.: Earth Environ. Sci., 502, 012034, https://doi.org/10.1088/1755-1315/502/1/012034, 2020.
Yang, Q., Song, K. S., Wen, Z. D., Hao, X. H., and Fang, C.: Recent trends
of ice phenology for eight large lakes using MODIS products in Northeast
China, Int. J. Remote. Sens., 40, 5388–5410, https://doi.org/10.1080/01431161.2019.1579939,
2019.
Yang, X., Pavelsky, T. M., and Allen, G. H.: The past and future of global
river ice, Nature, 577, 69–73, https://doi.org/10.1038/s41586-019-1848-1, 2020.
Zhang, X., Wang, K., and Kirillin, G.: An automatic method to detect lake
ice phenology using MODIS daily temperature imagery, Remote. Sens., 13, 2711,
https://doi.org/10.3390/rs13142711, 2021.
Zhu, X., Chen, J., Gao, F., Chen, X., and Masek, J. G.: An enhanced spatial
and temporal adaptive reflectance fusion model for complex heterogeneous
regions, Remote. Sens. Environ., 114, 2610–2623, https://doi.org/10.1016/j.rse.2010.05.032,
2010.
Zhu, X., Helmer, E. H., Gao, F., Liu, D., Chen, J., and Lefsky, M. A.: A
flexible spatiotemporal method for fusing satellite images with different
resolutions, Remote. Sens. Environ., 172, 165–177,
https://doi.org/10.1016/j.rse.2015.11.016, 2016.
Short summary
A large-scale linear structure has repeatedly appeared on satellite images of Chagan Lake in winter, which was further verified as being ice ridges in the field investigation. We extracted the length and the angle of the ice ridges from multi-source remote sensing images. The average length was 21 141.57 ± 68.36 m. The average azimuth angle was 335.48° 141.57 ± 0.23°. The evolution of surface morphology is closely associated with air temperature, wind, and shoreline geometry.
A large-scale linear structure has repeatedly appeared on satellite images of Chagan Lake in...
