Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection

Lake ice thickness (LIT) is one of the key climate variables in the lake ice domain, but there are currently large uncertainties in the retrieval of LIT. We present and validate a new LIT retrieval method that utilizes ICESat-2 data to assist CryoSat-2 echo peak selection, aiming to improve the accu...

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Main Authors: Hao Ye, Guowang Jin, Hongmin Zhang, Xin Xiong, Jiahao Li, Jiajun Wang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/16/3/546
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author Hao Ye
Guowang Jin
Hongmin Zhang
Xin Xiong
Jiahao Li
Jiajun Wang
author_facet Hao Ye
Guowang Jin
Hongmin Zhang
Xin Xiong
Jiahao Li
Jiajun Wang
author_sort Hao Ye
collection DOAJ
description Lake ice thickness (LIT) is one of the key climate variables in the lake ice domain, but there are currently large uncertainties in the retrieval of LIT. We present and validate a new LIT retrieval method that utilizes ICESat-2 data to assist CryoSat-2 echo peak selection, aiming to improve the accuracy of LIT retrieval and enable data acquisition without on-site measurements. The method involves screening out similar ICESat-2 and CryoSat-2 tracks based on time and space constraints. It also involves dynamically adjusting the range constraint window of CryoSat-2 waveforms based on the high-precision lake ice surface ellipsoid height obtained from ICESat-2/ATL06 data. Within this range constraint window, the peak selection strategy is used to determine the scattering interfaces between snow-ice and ice-water. By utilizing the distance between the scattering horizons, the thickness of the lake ice can be determined. We performed the ice thickness retrieval experiment for Baker Lake in winter and verified it against the on-site measurement data. The results showed that the accuracy was about 0.143 m. At the same time, we performed the ice thickness retrieval experiment for Great Bear Lake (GBL), which does not have on-site measurement data, and compared it with the climate change trend of GBL. The results showed that the retrieval results were consistent with the climate change trend of GBL, confirming the validity of the proposed method.
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spelling doaj.art-ba402d758762438bb4d82a89102e11522024-02-09T15:21:27ZengMDPI AGRemote Sensing2072-42922024-01-0116354610.3390/rs16030546Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak SelectionHao Ye0Guowang Jin1Hongmin Zhang2Xin Xiong3Jiahao Li4Jiajun Wang5Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaInstitute of Data and Target Engineering, Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaLake ice thickness (LIT) is one of the key climate variables in the lake ice domain, but there are currently large uncertainties in the retrieval of LIT. We present and validate a new LIT retrieval method that utilizes ICESat-2 data to assist CryoSat-2 echo peak selection, aiming to improve the accuracy of LIT retrieval and enable data acquisition without on-site measurements. The method involves screening out similar ICESat-2 and CryoSat-2 tracks based on time and space constraints. It also involves dynamically adjusting the range constraint window of CryoSat-2 waveforms based on the high-precision lake ice surface ellipsoid height obtained from ICESat-2/ATL06 data. Within this range constraint window, the peak selection strategy is used to determine the scattering interfaces between snow-ice and ice-water. By utilizing the distance between the scattering horizons, the thickness of the lake ice can be determined. We performed the ice thickness retrieval experiment for Baker Lake in winter and verified it against the on-site measurement data. The results showed that the accuracy was about 0.143 m. At the same time, we performed the ice thickness retrieval experiment for Great Bear Lake (GBL), which does not have on-site measurement data, and compared it with the climate change trend of GBL. The results showed that the retrieval results were consistent with the climate change trend of GBL, confirming the validity of the proposed method.https://www.mdpi.com/2072-4292/16/3/546ICESat-2CryoSat-2lake icethicknessecho peak selection
spellingShingle Hao Ye
Guowang Jin
Hongmin Zhang
Xin Xiong
Jiahao Li
Jiajun Wang
Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection
Remote Sensing
ICESat-2
CryoSat-2
lake ice
thickness
echo peak selection
title Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection
title_full Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection
title_fullStr Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection
title_full_unstemmed Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection
title_short Lake Ice Thickness Retrieval Method with ICESat-2-Assisted CyroSat-2 Echo Peak Selection
title_sort lake ice thickness retrieval method with icesat 2 assisted cyrosat 2 echo peak selection
topic ICESat-2
CryoSat-2
lake ice
thickness
echo peak selection
url https://www.mdpi.com/2072-4292/16/3/546
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AT hongminzhang lakeicethicknessretrievalmethodwithicesat2assistedcyrosat2echopeakselection
AT xinxiong lakeicethicknessretrievalmethodwithicesat2assistedcyrosat2echopeakselection
AT jiahaoli lakeicethicknessretrievalmethodwithicesat2assistedcyrosat2echopeakselection
AT jiajunwang lakeicethicknessretrievalmethodwithicesat2assistedcyrosat2echopeakselection