Published November 16, 2022
| Version
v1
Dataset
Open
Harz National Park/Central Germany - Gross Primary Productivity - 2019
Description
Monthly Gross Primary Productivity (GPP) estimated across the Harz Lowland Germany National park deciduous forest with a mixed of beech trees. The result are based on an empirical model which linearly correlate the Land Surface Water Index (LSWI) derived from Sentinel-2 images and in situ measurements of shortwave incoming radiation.
Files
Harz_Central_Germany_GPP_2019_01.tif
Files
(35.0 MB)
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|---|---|---|
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2.7 MB | Preview Download |
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Checksum: md5:f59f595ecce58186e8c9fc1d9cf0d3d5
PID: http://hdl.handle.net/11304/b6d166ca-1312-4c21-a8bf-b9853cb4c421 |
3.1 MB | Preview Download |
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Checksum: md5:015552dbf243bb4a377de38ffb1aa104
PID: http://hdl.handle.net/11304/fe62af7e-720c-4d34-bfb7-82158e71eff7 |
3.1 MB | Preview Download |
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Checksum: md5:213c1fa9b53f00bceddaeb3966a74a60
PID: http://hdl.handle.net/11304/6d6b9cd1-bb72-4d5e-8980-a719be504305 |
3.1 MB | Preview Download |
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Checksum: md5:2a8b74e11f908a46d5f57cd5c7da9eff
PID: http://hdl.handle.net/11304/65006e81-c3d3-4e06-a6ce-62115b55c7a5 |
3.0 MB | Preview Download |
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Checksum: md5:20c0317360e5a54a94d0cc38dc469b17
PID: http://hdl.handle.net/11304/e1ec518b-5227-4c9f-9f03-bede8ceda9e4 |
3.0 MB | Preview Download |
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Checksum: md5:1fbb25e75da75c1b0834f53170c7b2ed
PID: http://hdl.handle.net/11304/6247d1d0-eada-464e-ad6f-2b5b0cefcb61 |
3.1 MB | Preview Download |
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Checksum: md5:7e86c496bc2c71233668d3221aa11410
PID: http://hdl.handle.net/11304/e67e0818-e261-4fa2-9727-ada982c030d0 |
3.1 MB | Preview Download |
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Checksum: md5:9a2e6c7501964c17729bd16d3667df59
PID: http://hdl.handle.net/11304/f8d64e41-6c2f-4936-9ed0-634cbf96a4ab |
3.1 MB | Preview Download |
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Checksum: md5:8d006e2e0157bfa44a0534c9d57feffb
PID: http://hdl.handle.net/11304/2a1f9785-e07a-4345-bbef-b922d8f3843f |
3.1 MB | Preview Download |
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Checksum: md5:d4833b10dc431e4b3e426cd2c885ceb6
PID: http://hdl.handle.net/11304/1380d8a9-65d8-4049-bcf5-25f90b7bd45c |
2.2 MB | Preview Download |
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Checksum: md5:275d7a3574b996a0d16a12065804add4
PID: http://hdl.handle.net/11304/de9e1241-99ea-48a6-aa15-f24a387c4534 |
2.3 MB | Preview Download |
Additional details
Identifiers
- b2rec
- dcbe410b984a4b778db135979374fb9d
LTER metadata
- Metadata URL
- https://deims.org/d6ce4453-17a8-49d8-9c02-caae8b6629a6