The spring snowmelt phenology in Alaska from 2001–2019
The Normalized Difference Snow Index (NDSI) of the MODIS Terra Snow Cover Daily L3 Global 500m Grid data (MOD10A1.v006) is used to derive the start of snowmelt (SOM) and the end of snowmelt (EOM) in spring. The data coverage includes Alaska and part of Canada Yukon from 55°N to 72°N for the years be...
| Main Author: | |
|---|---|
| Format: | Dataset |
| Language: | unknown |
| Published: |
Harvard Dataverse
2021
|
| Subjects: | |
| Online Access: | https://dx.doi.org/10.7910/dvn/kudy0k https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/KUDY0K |
| id |
ftdatacite:10.7910/dvn/kudy0k |
|---|---|
| record_format |
openpolar |
| spelling |
ftdatacite:10.7910/dvn/kudy0k 2023-05-15T18:48:34+02:00 The spring snowmelt phenology in Alaska from 2001–2019 Zheng, Jiangshan 2021 https://dx.doi.org/10.7910/dvn/kudy0k https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/KUDY0K unknown Harvard Dataverse dataset Dataset 2021 ftdatacite https://doi.org/10.7910/dvn/kudy0k 2021-11-05T12:55:41Z The Normalized Difference Snow Index (NDSI) of the MODIS Terra Snow Cover Daily L3 Global 500m Grid data (MOD10A1.v006) is used to derive the start of snowmelt (SOM) and the end of snowmelt (EOM) in spring. The data coverage includes Alaska and part of Canada Yukon from 55°N to 72°N for the years between 2001 and 2019. The MOD10A1 is resampled to 1-km resolution with nearest-neighbor interpolation. The algorithm takes 8-day maximum value composite NDSI data, performs data stacking, smoothing, and then calculates the SOM and EOM metrics. Dataset Alaska Yukon DataCite Metadata Store (German National Library of Science and Technology) Yukon Canada |
| institution |
Open Polar |
| collection |
DataCite Metadata Store (German National Library of Science and Technology) |
| op_collection_id |
ftdatacite |
| language |
unknown |
| description |
The Normalized Difference Snow Index (NDSI) of the MODIS Terra Snow Cover Daily L3 Global 500m Grid data (MOD10A1.v006) is used to derive the start of snowmelt (SOM) and the end of snowmelt (EOM) in spring. The data coverage includes Alaska and part of Canada Yukon from 55°N to 72°N for the years between 2001 and 2019. The MOD10A1 is resampled to 1-km resolution with nearest-neighbor interpolation. The algorithm takes 8-day maximum value composite NDSI data, performs data stacking, smoothing, and then calculates the SOM and EOM metrics. |
| format |
Dataset |
| author |
Zheng, Jiangshan |
| spellingShingle |
Zheng, Jiangshan The spring snowmelt phenology in Alaska from 2001–2019 |
| author_facet |
Zheng, Jiangshan |
| author_sort |
Zheng, Jiangshan |
| title |
The spring snowmelt phenology in Alaska from 2001–2019 |
| title_short |
The spring snowmelt phenology in Alaska from 2001–2019 |
| title_full |
The spring snowmelt phenology in Alaska from 2001–2019 |
| title_fullStr |
The spring snowmelt phenology in Alaska from 2001–2019 |
| title_full_unstemmed |
The spring snowmelt phenology in Alaska from 2001–2019 |
| title_sort |
spring snowmelt phenology in alaska from 2001–2019 |
| publisher |
Harvard Dataverse |
| publishDate |
2021 |
| url |
https://dx.doi.org/10.7910/dvn/kudy0k https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/KUDY0K |
| geographic |
Yukon Canada |
| geographic_facet |
Yukon Canada |
| genre |
Alaska Yukon |
| genre_facet |
Alaska Yukon |
| op_doi |
https://doi.org/10.7910/dvn/kudy0k |
| _version_ |
1766241687933288448 |