Unsupervised surface clustering on ICESat-2's ATL03
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Updated
Jun 18, 2020 - Jupyter Notebook
Unsupervised surface clustering on ICESat-2's ATL03
Poster presented at the New Zealand Antarctic Science Conference 2021 in Christchurch on 10 February 2021.
This package contains the code to collocate the ICESat-2 sea ice and cloud data products, save leads and floe features. Gridded granules can be generated to allow faster compositing. Codes to perform simple monthly compositing are included too.
Poster material for AGU Fall Meeting 2021 hybrid conference on 13-17 December 2021.
Interactively visualize and contextualize high-resolution spaceborne LiDAR data from NASA's ICESat-2 mission, using the OpenAltimetry API along with the Google Earth Engine Python API and the python package geemap for mapping.
Code used in the publication: "Buoyancy-driven flexure at the front of Ross Ice Shelf, Antarctica, observed with ICESat-2 laser altimetry"
2022 ICESat-2 Hackweek ice-discharge project group
(WORK IN PROGRESS) Derive estimated canopy heights from raw ICESat-2 ATL03 photon returns.
Mapping and monitoring deep subglacial water activity in Antarctica using remote sensing and machine learning, with ICESat-2!
ICESat-2 Hackweek 2022 landing page and jupyter book
ATLAS Photon Labeler
Machine Learning data pipeline and Jupyter Book for the DeepIceDrain project
ICESat-2 ATL03/ATL08 Processing and Analysis
Using ICESAT-2 to detect topographical changes over land surfaces, in particular permafrost
Python interpretation of the NASA Goddard Space Flight Center YAPC ("Yet Another Photon Classifier") algorithm
🚨 Laser 〽️ Altimetry
Information and resources about bathymetric data from NASA's ICESat-2 mission, created by the ICESat-2 Science Team Bathymetry Working Group.
Satellite Derived Bathymetry with IceSAT-2 LiDAR Data : Case Study in the coast of Thailand - Thepchai Srinoi and Dr.Phisan Santitamnont SV CU
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