Arctic sea ice melt pond fraction in 2000–2021 derived by dynamic pixel spectral unmixing of MODIS images
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Title
Arctic sea ice melt pond fraction in 2000–2021 derived by dynamic pixel spectral unmixing of MODIS images
Authors
Keywords
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Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 197, Issue -, Pages 181-198
Publisher
Elsevier BV
Online
2023-02-14
DOI
10.1016/j.isprsjprs.2023.01.023
References
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Related references
Note: Only part of the references are listed.- Pan-Arctic melt pond fraction trend, variability, and contribution to sea ice changes
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- Assessment of Sea Ice Extent in CMIP6 With Comparison to Observations and CMIP5
- (2020) Qi Shu et al. GEOPHYSICAL RESEARCH LETTERS
- Retrieval of Melt Pond Fraction over Arctic Sea Ice during 2000–2019 Using an Ensemble-Based Deep Neural Network
- (2020) Yifan Ding et al. Remote Sensing
- A spectral mixture analysis approach to quantify Arctic first-year sea ice melt pond fraction using QuickBird and MODIS reflectance data
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- Estimation of melt pond fraction over high-concentration Arctic sea ice using AMSR-E passive microwave data
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- Revisiting the potential of melt pond fraction as a predictor for the seasonal Arctic sea ice extent minimum
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- On the Estimation of Melt Pond Fraction on the Arctic Sea Ice With ENVISAT WSM Images
- (2014) Marko Makynen et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- September Arctic sea-ice minimum predicted by spring melt-pond fraction
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- Level-ice melt ponds in the Los Alamos sea ice model, CICE
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