Development of a Mid-Infrared Sea and Lake Ice Index (MISI) Using the GOES Imager

Dorofy, Peter; Nazari, Rouzbeh; Romanov, Peter; Key, Jeffrey R.

doi:10.3390/rs8121015

Cited by 10 publications

(15 citation statements)

References 9 publications

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“…Data on ice regimes collected in situ are considered especially important and interesting as this method of data collection is now being replaced by satellite monitoring (Chang 2014). However, the quality of satellite data is sometimes insufficient (Pour et al 2017;Surdu et al 2014;Dorofy 2016;Gabre et al 2014;Engram et al 2018).…”

Section: Discussionmentioning

confidence: 99%

The ice regime of Lake Ostrzyckie (Kashubian Lakeland, northern Poland)

Barańczuk

2019

Limnological Review

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The article presents the ice phenology of Lake Ostrzyckie, which is a water body covering an area of 308 ha located in the central part of the Kashubian Lakeland, northern Poland. The analysis presented in the article is based on data from daily ice phenomena monitoring for the period of 1971-2010. Data including forms of lake ice, as well as the thickness of the ice cover were obtained from the Institute of Meteorology and Water. In order to present relations between the ice phenomena and air temperature the meteorological data from the Gdańsk University Limnological Station in Borucino were used. The article presents changes in the duration time of the ice seasons and changes in the ice cover duration time in relation to winter season (November-April) temperatures. The structure of the ice phenomena duration period observed on Lake Ostrzyckie consists of three different stages of ice cover formation. 94% of this time the lake is covered by permanent ice cover, the freezing period takes about 5%, and the break-up takes only 1% of the ice phenomena duration period. In general the ice phenomena in the lake can occur only in the years when the average air temperature in the winter is lower than 5.0°C, whereas the permanent ice cover is created when the average air temperature of the winter season is lower than 4.8°C. The maximum thickness of the ice cover is usually 23 cm, and the average is 14 cm.

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Section: Discussionmentioning

confidence: 99%

The ice regime of Lake Ostrzyckie (Kashubian Lakeland, northern Poland)

Barańczuk

2019

Limnological Review

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“…Conceptually, a dynamic threshold can be an alternative solution to accounting for these effects over the use of Bidirectional Reflectance Distribution Function (BRDF) models which mathematically correct for surface reflectance anisotropy during the classification process. As a continuation of previous work [4], which provided a preliminary evaluation of the MIR band to lake ice detection using a single threshold, the results of applying a dynamic threshold are presented in this paper. A dynamic threshold in this study is a time series of hourly reflectance thresholds based on ( ∩ ), where I is the probability of a pixel detected as ice and W is the probability of a pixel detected as water.…”

Section: Introductionmentioning

confidence: 86%

“…The reflectance values of channels 1 and 2, MISI, and skin temperature are the basis for ice classification in the algorithm. As this study is a continuation from previous work [4], the method for data acquisition, pre-processing, calibration and conversion, determination of skin temperature, and the derivation of the 3.9 µm reflection component has been implemented. Readers are encouraged to refer to that work for a detailed explanation of the pre-processing and processing procedures used in the algorithm.…”

Section: Approach and Algorithm Developmentmentioning

confidence: 99%

“…This particular study is twofold. 1) Present the use of dynamic threshold in developing a sea and lake ice map [2]; 2) Promote further the use of the GOES-13 imager in snow and ice mapping [3,4] and the potential to develop these maps using historical imagery. It is the intention of the authors, that this work may contribute to the study of climate data in the Great Lakes region of which over 30 years of data from NOAA's GOES program are available.…”

Section: Introductionmentioning

confidence: 99%

“…Prior to GOES-16, the GOES imagers were limited to 5 bands, none of which were in the SWIR needed for ice mapping. However, research in the use of the mid-infrared (MIR) 3.9 µm band for snow and ice maps have been investigated through the GOES imagers [3,4].…”

Section: Introductionmentioning

confidence: 99%

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Application of Dynamic Threshold in a Lake Ice Detection Algorithm

Dorofy¹,

Nazari²,

Romanov³

2018

AJRS

Self Cite

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The traditional method involved in the classification of surface types such as water, ice, and snow rely on thresholds values of spectral properties that are fixed. However, the use of daily fixed thresholds leaves a substantial number of either unclassified and/or misclassified ice and water pixels. In this study, a new dynamic threshold technique is proposed to identify and map lake ice cover in the imagery of GOES-I to P series satellites. In addition, dynamic threshold can be used as an alternative solution to Bidirectional Reflectance Distribution Function (BRDF) models. The technique has been applied using GOES-13 imager data over Lake Michigan, one of five of the Great Lakes. Nine scenes based on an hourly acquisition of a single day are used to visually sample water and ice pixels. A threshold for the visible (0.62 µm) and the reflective component of the mid-infrared (3.9 µm) is determined for each scene by the intersection of the probability distributions of the water and ice samples. The thresholds are used as decision thresholds in a binary test algorithm applied on a per-pixel basis. Both fixed threshold (single scene) and dynamic thresholds (multiple scenes) have been compared. Dynamic threshold shows a significant gain in classified pixels over fixed threshold. A preliminary quantitative assessment is introduced to evaluate the algorithm's performance using sensitivity and specificity testing. The classification results show a sensitivity of 98% when delineating thick ice and water and 87% when delineating thick/thin ice and water. Implementing a dynamic threshold, can be used in constructing ice maps in applications that benefit from high temporal resolution imagery.

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Eco-bioengineering tools in ecohydrological assessment of eutrophic water bodies

et al. 2022

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Eutrophication of water bodies and deterioration of water quality is an emerging environmental crisis. The root causes, pathways and consequences of eutrophication are multidirectional and provide a huge scope of riskanalysis and risk-assessment in the domain of remediation studies. However, a deep insight on restoration studies shows a global transitional trend of evolution of traditional restoration methods to advanced innovative techniques with pioneering development in the eld of science and technology. This study introduces a novel approach of considering ecohydrological assessment of eutrophication emphasizing classical biomanipulation practices and their evolution into innovative methods coined as 'eco-bioengineering' method. The main objective of this study is to critically analyse and recognize the research gaps in classical biomanipulations and appreciate the reproducibility and e cacy of eco-bioengineering methods at micro-and macrolevel aquatic ecosystems. Comprehensive literature review was conducted in o ine and online planforms, and our survey revealed continuation of a historical trend in classical biomanipulation practices (75.36%) and an ascending drift in eco-bioengineering research (24.64%) in the immediate decade (2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020). At a global scale, recent biomanipulation research is skewedly distributed in Europe (43.48%), East Asia (34.78%), North America (8.70%), South America (2.90%), South Africa (4.35%), Oceania (1.45%), Middle East (1.45%) and non-speci c regions (2.90%). Finally, this study revealed the comprehensiveness of eco-bioengineering methods and their strong ecological resilience to recurrence of eutrophication and uctuating environmental ows in the future. Therefore, this study reinforces eco-bioengineering methods a cost-effective green technologies that will sustainable solutions for restoration of eutrophic waters at a global scale.

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Development of a Mid-Infrared Sea and Lake Ice Index (MISI) Using the GOES Imager

Cited by 10 publications

References 9 publications

The ice regime of Lake Ostrzyckie (Kashubian Lakeland, northern Poland)

The ice regime of Lake Ostrzyckie (Kashubian Lakeland, northern Poland)

Application of Dynamic Threshold in a Lake Ice Detection Algorithm

Eco-bioengineering tools in ecohydrological assessment of eutrophic water bodies

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