Muhammad, Sher (2022): Improved MODIS TERRA/AQUA composite Snow and glacier (RGI6.0) data for High Mountain Asia (2019-2021) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.941453
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Published: 2022-02-24 • DOI registered: 2022-08-24
Abstract:
The data contains improved daily MODIS Terra/Aqua combined snow-cover merged with Randolph Glacier Inventory (RGI6.0) product for the year 2020. The data is associated with the product named as M*D10A1GL06. The data covers High Mountain Asia (HMA) covering latitude 24.32− 49.19 N and Longitude 58.22 - 122.48 E. The data is available in GeoTIFF file format. For more details about the data, please read the paper titled An improved Terra-Aqua MODIS daily cloud-free snow and Randolph Glacier Inventory 6.0 combined product (M*D10A1GL06) for high-mountain Asia between 2002 and 2019 in Earth System Science Data Journal.
Coverage:
Median Latitude: 36.755000 * Median Longitude: 90.350000 * South-bound Latitude: 24.320000 * West-bound Longitude: 58.220000 * North-bound Latitude: 49.190000 * East-bound Longitude: 122.480000
Event(s):
Comment:
The data contains snow data for the period between 2019 and 2021. The data contains 8-day composite snow and each image has the information of no snow (value 25), clouds (value 50), and snow (value 200).
This dataset has been carefully reviewed and curated in accordance with PANGAEA's exceptionally high quality standards. However, due to discontinued communication from the authors' side, it did not receive the usual formal approval by the authors and therefore lacks final scientific validation.
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Binary Object | Binary | Muhammad, Sher | |||
| 2 | Binary Object (MD5 Hash) | Binary (Hash) | Muhammad, Sher | |||
| 3 | Binary Object (Media Type) | Binary (Type) | Muhammad, Sher | |||
| 4 | Binary Object (File Size) | Binary (Size) | Bytes | Muhammad, Sher |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
7 data points