Data Citation and Acknowledgment
As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility.
10.5067/MODIS/MYD10A1.061
Hall, D. K. & Riggs, G. A. (2021). MODIS/Aqua Snow Cover Daily L3 Global 500m SIN Grid. (MYD10A1, Version 61). [Data Set]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/MODIS/MYD10A1.061. [describe subset used if applicable]. Date Accessed 11-05-2024.
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earthaccess is a python library to search and access NASA Earth science data with just a few lines of code.
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variable subsetting
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data reformatting
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data reformatting
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temporal subsetting
variable subsetting
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Type: Downloadable Software
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Calculate past and future satellite overpasses, based on latitude/longitude or map location.
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Visualize georeferenced arrays in NetCDF, HDF and GRIB formats. Plot data on global or regional maps, choosing from multiple map projections. Overlay continent outlines or masks.
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A Python-based Jupyter Notebook demonstrating how to access and visualize coincident snow data from the NSIDC DAAC across in-situ, airborne, and satellite platforms from NASA's SnowEx, ASO, and MODIS data sets, respectively.
Supported software languages:
Python
Customization Capabilities:
data reformatting
reprojection
spatial subsetting