Comments (3)
新的Bedmap3 CSV数据在https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=91523ff9-d621-46b3-87f7-ffb6efcd1847 ,你有兴趣帮忙更新吗?
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新的Bedmap3 CSV数据在https://ramadda.data.bas.ac.uk/repository/entry/show?entryid=91523ff9-d621-46b3-87f7-ffb6efcd1847 ,你有兴趣帮忙更新吗?
也许我会进行尝试,但是我是新手对代码以及南极相关工作不太熟练,可能进度会比较缓慢。我注意到有些数据集中有一些没有基岩高程,这是不是需要预先处理与REMA相减?
最后,感谢您的回复!也非常感谢您将深度学习与南极地形相结合的工作,如果我后续有问题或是进度再在github上联系您
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我注意到有些数据集中有一些没有基岩高程,这是不是需要预先处理与REMA相减?
说真的,我还没仔细看Bedmap3的新数据。如果csv数据本生有surface elevation和ice thickness,最好是不用REMA,而是直接算bed elevation = surface elevation - ice thickness
. 因为REMA v1 的surface elevation是coregistered到ICESat-1,日期大概是December 2008 (参考https://doi.org/10.5194/tc-13-665-2019), REMAv2是coregistered到ICESat-2,日期会稍微新一点(2018后?)。所以REMA的surface elevation未必和那些1970-20xx年的Bedmap3数据相同,这点要小心。
也许我会进行尝试,但是我是新手对代码以及南极相关工作不太熟练,可能进度会比较缓慢。... 最后,感谢您的回复!也非常感谢您将深度学习与南极地形相结合的工作,如果我后续有问题或是进度再在github上联系您
没事,欢迎加入!我刚开始也花了好几个月,所以别担心进度。有问题可以多提问,我也希望有更多人把南极地形和深度学习结合起来 😄
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Related Issues (20)
- RMSE_test calculation does not sample points along groundtruth grid edges properly
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