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 11-21-2024.
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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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Programmatically request selected data products through our API. This tool is valuable for selecting just the parameters you need from big data sets. Apply spatial and temporal filters, subsetting, reformatting, and reprojection.
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variable subsetting
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data reformatting
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spatial subsetting
variable subsetting
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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.
Type: Downloadable Software
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
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Harmony API Quickstart Guide: Customizing NASA NSIDC DAAC data in Earthdata Cloud