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...
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| Online Access: | https://doi.org/10.7910/DVN/KUDY0K |
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ftharvardunivdvn:doi:10.7910/DVN/KUDY0K 2023-05-15T18:48:18+02:00 The spring snowmelt phenology in Alaska from 2001–2019 Zheng, Jiangshan Zheng, Jiangshan https://doi.org/10.7910/DVN/KUDY0K unknown Harvard Dataverse https://doi.org/10.7910/DVN/KUDY0K Earth and Environmental Sciences Snowmelt Alaska remote sensing ftharvardunivdvn https://doi.org/10.7910/DVN/KUDY0K 2021-06-12T22:20:38Z 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. Other/Unknown Material Alaska Yukon Harvard Dataverse Canada Yukon |
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Open Polar |
| collection |
Harvard Dataverse |
| op_collection_id |
ftharvardunivdvn |
| language |
unknown |
| topic |
Earth and Environmental Sciences Snowmelt Alaska remote sensing |
| spellingShingle |
Earth and Environmental Sciences Snowmelt Alaska remote sensing Zheng, Jiangshan The spring snowmelt phenology in Alaska from 2001–2019 |
| topic_facet |
Earth and Environmental Sciences Snowmelt Alaska remote sensing |
| 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. |
| author2 |
Zheng, Jiangshan |
| author |
Zheng, Jiangshan |
| 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 |
| url |
https://doi.org/10.7910/DVN/KUDY0K |
| geographic |
Canada Yukon |
| geographic_facet |
Canada Yukon |
| genre |
Alaska Yukon |
| genre_facet |
Alaska Yukon |
| op_relation |
https://doi.org/10.7910/DVN/KUDY0K |
| op_doi |
https://doi.org/10.7910/DVN/KUDY0K |
| _version_ |
1766241025591869440 |