Snow-Cloud Validation Masks for Multispectral Satellite Data.
Description
Geotiffs of manually validated snow, cloud, & clear-sky snow free pixels for 13 Landsat 8 images. These acquisitions are of mid-latitude mountainous regions that contain both snow and cloud cover. Four spectral libraries of snow and cloud are also provided. These are the snow and cloud spectra extracted from both these 13 scenes and the 13 L8 SPARCS Cloud Validation Masks that contained both snow and cloud. 1&2.) Snow and cloud top-of-atmosphere reflectance for the eight Landsat 8 OLI 30 meter optical bands, aggregated from the 26 scenes. 3&4.) The top-of-atmosphere reflectance for the eight Landsat 8 OLI 30 meter optical bands of all snow misidentified as cloud and cloud misidentified as snow by CFMASK, the cloud mask that ships in the BQA file of Landsat 8 Collection 1.
Files
cloudSpectralLibrary.csv
Files
(612.7 MB)
Name | Size | Download all |
---|---|---|
md5:ed3534eba10a2a631c0285c424d24ee1
|
236.5 MB | Preview Download |
md5:d00b42f08d7739826d4df80727836fd5
|
7.0 MB | Preview Download |
md5:ec768b1557666c0a6f88e76965832018
|
16.7 MB | Preview Download |
md5:b6deacc4c764026bccfec4ac59f35f05
|
1.1 MB | Preview Download |
md5:7fb81001cee5a45e42b8b85dce0ea26f
|
906.2 kB | Preview Download |
md5:445251c829bdd8a0a7c17d01baa0f44c
|
1.2 MB | Preview Download |
md5:4f836b3d62d9f638f77bbe881f221f26
|
930.5 kB | Preview Download |
md5:5571bcf6078f9cd227c31242b244bb78
|
1.1 MB | Preview Download |
md5:5e7f8b8090c8760ea30f110626fbbb84
|
1.1 MB | Preview Download |
md5:bf3872ac3356798b8351787c895e981b
|
1.1 MB | Preview Download |
md5:ca49d84232f7763933e815dd051b31e0
|
1.1 MB | Preview Download |
md5:5478d0c29d33c5fb29943f36cf45c8b6
|
940.1 kB | Preview Download |
md5:0075d8dcd133f27a2c715000de92800c
|
1.1 MB | Preview Download |
md5:e3aea9b22b310bf47bab8eb72d131188
|
955.1 kB | Preview Download |
md5:af0400f4e0d52c383557f639a1caaf38
|
946.8 kB | Preview Download |
md5:9cdc258890d08ea7d315dfc3acff9daa
|
1.1 MB | Preview Download |
md5:7434f906985c82708d9c43aa9f10a65c
|
3.0 kB | Preview Download |
md5:77e03f8085ebad8394b8ee77b37c6bbf
|
6.4 kB | Preview Download |
md5:d3aad3bb9b2148236b4ddcab04c6fb49
|
338.8 MB | Preview Download |
Additional details
Related works
- Is cited by
- Journal article: 10.1029/2019WR024932 (DOI)