FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine

Antarctic blue ice areas are exposed due to erosion and sublimation of snow. At the same time, surface melt can form surface types that are spectrally similar to blue ice, especially at low elevations. These are termed melt-induced blue ice areas. Both types of blue ice are sensitive indicators of c...

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Published in:Remote Sensing of Environment
Main Authors: Hu, Zhongyang (author), Kuipers Munneke, Peter (author), Lhermitte, S.L.M. (author), Dirscherl, Mariel (author), Ji, Chaonan (author), van den Broeke, Michiel (author)
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:http://resolver.tudelft.nl/uuid:622a406b-6dac-4045-9bc1-a28a95de3f34
https://doi.org/10.1016/j.rse.2022.113202
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spelling fttudelft:oai:tudelft.nl:uuid:622a406b-6dac-4045-9bc1-a28a95de3f34 2024-04-28T08:01:04+00:00 FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine Hu, Zhongyang (author) Kuipers Munneke, Peter (author) Lhermitte, S.L.M. (author) Dirscherl, Mariel (author) Ji, Chaonan (author) van den Broeke, Michiel (author) 2022 http://resolver.tudelft.nl/uuid:622a406b-6dac-4045-9bc1-a28a95de3f34 https://doi.org/10.1016/j.rse.2022.113202 en eng http://www.scopus.com/inward/record.url?scp=85135710073&partnerID=8YFLogxK Remote Sensing of Environment: an interdisciplinary journal--0034-4257--eabb69ab-5ad4-4725-92ed-698f8d9ef006 http://resolver.tudelft.nl/uuid:622a406b-6dac-4045-9bc1-a28a95de3f34 https://doi.org/10.1016/j.rse.2022.113202 © 2022 Zhongyang Hu, Peter Kuipers Munneke, S.L.M. Lhermitte, Mariel Dirscherl, Chaonan Ji, Michiel van den Broeke Antarctica Blue ice Google Earth Engine MODIS Spectral mixture analysis journal article 2022 fttudelft https://doi.org/10.1016/j.rse.2022.113202 2024-04-10T00:10:22Z Antarctic blue ice areas are exposed due to erosion and sublimation of snow. At the same time, surface melt can form surface types that are spectrally similar to blue ice, especially at low elevations. These are termed melt-induced blue ice areas. Both types of blue ice are sensitive indicators of climate change. Satellite remote sensing is a powerful technique to retrieve the spatial extent of blue ice areas and their variation in time. Yet, existing satellite-derived blue ice area products are either mono-temporal for the entire Antarctic ice sheet, or multi-temporal for a limited area. Here, we present FABIAN, a product of blue ice fraction over Antarctica, derived from the moderate resolution imaging spectroradiometer (MODIS) archive covering the period 2000–2021. A spectral mixture analysis (SMA) in Google Earth Engine, based on a careful selection of endmember spectra, accurately reconstructs the reflectance observed by MODIS in blue ice areas. Based on a validation with contemporaneous Sentinel-2 images, FABIAN has a root mean square error in blue ice fraction of approximately 10% ∼ 20% in wind-induced blue ice areas, and 20% ∼ 30% in melt-induced blue ice areas across six selected test sites in the coastal East Antarctic ice sheet. FABIAN is challenged in regions with shallow melt streams and lakes, since their spectral profiles are similar to those from blue ice areas in MODIS bands. For further analyses and applications, FABIAN holds the potential for (1) deriving annual blue ice area maps, (2) distinguishing between wind-and melt-induced blue ice types, (3) evaluating and correcting (regional) climate models, and (4) analyzing temporal variations in blue ice abundance and exposure. Mathematical Geodesy and Positioning Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Delft University of Technology: Institutional Repository Remote Sensing of Environment 280 113202
institution Open Polar
collection Delft University of Technology: Institutional Repository
op_collection_id fttudelft
language English
topic Antarctica
Blue ice
Google Earth Engine
MODIS
Spectral mixture analysis
spellingShingle Antarctica
Blue ice
Google Earth Engine
MODIS
Spectral mixture analysis
Hu, Zhongyang (author)
Kuipers Munneke, Peter (author)
Lhermitte, S.L.M. (author)
Dirscherl, Mariel (author)
Ji, Chaonan (author)
van den Broeke, Michiel (author)
FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine
topic_facet Antarctica
Blue ice
Google Earth Engine
MODIS
Spectral mixture analysis
description Antarctic blue ice areas are exposed due to erosion and sublimation of snow. At the same time, surface melt can form surface types that are spectrally similar to blue ice, especially at low elevations. These are termed melt-induced blue ice areas. Both types of blue ice are sensitive indicators of climate change. Satellite remote sensing is a powerful technique to retrieve the spatial extent of blue ice areas and their variation in time. Yet, existing satellite-derived blue ice area products are either mono-temporal for the entire Antarctic ice sheet, or multi-temporal for a limited area. Here, we present FABIAN, a product of blue ice fraction over Antarctica, derived from the moderate resolution imaging spectroradiometer (MODIS) archive covering the period 2000–2021. A spectral mixture analysis (SMA) in Google Earth Engine, based on a careful selection of endmember spectra, accurately reconstructs the reflectance observed by MODIS in blue ice areas. Based on a validation with contemporaneous Sentinel-2 images, FABIAN has a root mean square error in blue ice fraction of approximately 10% ∼ 20% in wind-induced blue ice areas, and 20% ∼ 30% in melt-induced blue ice areas across six selected test sites in the coastal East Antarctic ice sheet. FABIAN is challenged in regions with shallow melt streams and lakes, since their spectral profiles are similar to those from blue ice areas in MODIS bands. For further analyses and applications, FABIAN holds the potential for (1) deriving annual blue ice area maps, (2) distinguishing between wind-and melt-induced blue ice types, (3) evaluating and correcting (regional) climate models, and (4) analyzing temporal variations in blue ice abundance and exposure. Mathematical Geodesy and Positioning
format Article in Journal/Newspaper
author Hu, Zhongyang (author)
Kuipers Munneke, Peter (author)
Lhermitte, S.L.M. (author)
Dirscherl, Mariel (author)
Ji, Chaonan (author)
van den Broeke, Michiel (author)
author_facet Hu, Zhongyang (author)
Kuipers Munneke, Peter (author)
Lhermitte, S.L.M. (author)
Dirscherl, Mariel (author)
Ji, Chaonan (author)
van den Broeke, Michiel (author)
author_sort Hu, Zhongyang (author)
title FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine
title_short FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine
title_full FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine
title_fullStr FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine
title_full_unstemmed FABIAN: A daily product of Fractional Austral-summer Blue Ice over ANtarctica during 2000–2021 based on MODIS imagery using Google Earth Engine
title_sort fabian: a daily product of fractional austral-summer blue ice over antarctica during 2000–2021 based on modis imagery using google earth engine
publishDate 2022
url http://resolver.tudelft.nl/uuid:622a406b-6dac-4045-9bc1-a28a95de3f34
https://doi.org/10.1016/j.rse.2022.113202
genre Antarc*
Antarctic
Antarctica
Ice Sheet
genre_facet Antarc*
Antarctic
Antarctica
Ice Sheet
op_relation http://www.scopus.com/inward/record.url?scp=85135710073&partnerID=8YFLogxK
Remote Sensing of Environment: an interdisciplinary journal--0034-4257--eabb69ab-5ad4-4725-92ed-698f8d9ef006
http://resolver.tudelft.nl/uuid:622a406b-6dac-4045-9bc1-a28a95de3f34
https://doi.org/10.1016/j.rse.2022.113202
op_rights © 2022 Zhongyang Hu, Peter Kuipers Munneke, S.L.M. Lhermitte, Mariel Dirscherl, Chaonan Ji, Michiel van den Broeke
op_doi https://doi.org/10.1016/j.rse.2022.113202
container_title Remote Sensing of Environment
container_volume 280
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