Published December 1, 2022
| Version
v1
Dataset
Open
Harz National Park/Central Germany - 15-days Gross Primary Productivity
Description
15-days Gross Primary Productivity (GPP) estimated across the Harz Lowland Germany National park deciduous forest with a mixed of beech trees.
Methods
The result are based on an empirical model integrates and linearly correlate the Land Surface Water Index (LSWI) derived from Sentinel-2 images and in situ measurements of shortwave incoming radiation with in situ measurements of GPP.Technical info
15-days maps for the year 2019Files
Harz_Central_Germany_GPP_2019_01_01-15.tif
Files
(62.3 MB)
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PID: http://hdl.handle.net/11304/fb080f4d-4edd-4283-832b-ff777f42e22b |
807.5 kB | Preview Download |
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Checksum: md5:3bc871045f336f7868f6581a16fe6e40
PID: http://hdl.handle.net/11304/11595852-fcb5-4fe9-ab20-b3b85be8a6f7 |
2.6 MB | Preview Download |
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Checksum: md5:7925f04ac03eb962a3c7ccbd50aa504c
PID: http://hdl.handle.net/11304/92f0cd07-7ee0-4707-b69b-eeb4f3d80b23 |
2.9 MB | Preview Download |
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Checksum: md5:03c8b0d7a984f9926db0cb8e501883ff
PID: http://hdl.handle.net/11304/490ff6cf-2002-4f74-890d-3101a2ee7a4e |
3.1 MB | Preview Download |
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Checksum: md5:546d7d029fa128890ee7368b79c8541b
PID: http://hdl.handle.net/11304/ce7729ee-fb06-45ff-9df6-925cb0537c18 |
2.9 MB | Preview Download |
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Checksum: md5:c0cfae3e90918fe12ad7901ce1717b2c
PID: http://hdl.handle.net/11304/1b7c8518-df4e-4857-bac2-adbfe5a5c0de |
2.8 MB | Preview Download |
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Checksum: md5:08933f0170e5a9adf853dc144784aaa3
PID: http://hdl.handle.net/11304/c214cebd-dc82-4d2b-bf1d-e0655988927b |
3.1 MB | Preview Download |
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Checksum: md5:279d543815bbf3dcc55f7099d1f46f03
PID: http://hdl.handle.net/11304/4c49f530-ab36-4153-9563-c1284a4cbcac |
3.1 MB | Preview Download |
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Checksum: md5:82b2ee567a78b95c2bff17828cc51e9f
PID: http://hdl.handle.net/11304/c0794ff0-432f-406e-a730-be0a6cbe8531 |
2.8 MB | Preview Download |
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Checksum: md5:23854433a2e0e9e2a2615f4b599049e9
PID: http://hdl.handle.net/11304/69cdcc1b-bbdf-4394-b501-98d36f1c2634 |
3.0 MB | Preview Download |
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Checksum: md5:d8e7fc20e89fa92096421e706093662a
PID: http://hdl.handle.net/11304/89eb236b-69e5-4b19-8569-9667b84ab4ea |
3.0 MB | Preview Download |
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Checksum: md5:999a08ae9000b87c33ba088a436ea492
PID: http://hdl.handle.net/11304/af8dc7d0-3602-419e-a904-90093291041c |
3.0 MB | Preview Download |
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Checksum: md5:7c37b6825f1c7ba75b190656015b0da8
PID: http://hdl.handle.net/11304/d495480b-7b43-44a5-bcb3-94ced8471649 |
2.5 MB | Preview Download |
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Checksum: md5:d3bc814b09271569843ed19e1fadbba0
PID: http://hdl.handle.net/11304/e34bd741-bbd8-450c-879a-4900795adc7d |
3.1 MB | Preview Download |
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Checksum: md5:ac5fc3b4ec7661111763dee34a4b5c9a
PID: http://hdl.handle.net/11304/aa242ee4-ce9d-476e-87bc-f1b9970ab321 |
3.0 MB | Preview Download |
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Checksum: md5:9f1174c3a9bbec3fa9a7b89246b4cfcb
PID: http://hdl.handle.net/11304/2e59ee29-b1f2-4d2a-804d-60824edbffd1 |
3.1 MB | Preview Download |
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Checksum: md5:4e85c88b0f426661940249a85a90d1b5
PID: http://hdl.handle.net/11304/357859dc-7e3e-4f2a-82cb-2306115fc50a |
3.1 MB | Preview Download |
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Checksum: md5:03861ab6d2c78c12fdf82f0776afb15f
PID: http://hdl.handle.net/11304/d5188a88-9b6f-4e00-88ad-e86a081b18ed |
3.1 MB | Preview Download |
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Checksum: md5:cb9d17a2e38fef3c651c27c717f76f39
PID: http://hdl.handle.net/11304/9b5d4341-934f-43d1-8488-ea6532a4a05d |
3.1 MB | Preview Download |
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Checksum: md5:b8410ce239708e1577189eacd3cc7eb1
PID: http://hdl.handle.net/11304/7f79e60c-56e8-44f3-85e6-5bc23fec5d1c |
2.6 MB | Preview Download |
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Checksum: md5:8192d1e3b07280236ab85b742f8f3c45
PID: http://hdl.handle.net/11304/5a7c8aea-2330-4aaf-aff8-8301c478ab04 |
1.8 MB | Preview Download |
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Checksum: md5:980d1d9b1dce6eabced43dc6842380ef
PID: http://hdl.handle.net/11304/82a39bb2-283e-47d5-ba3e-0409f79e1be8 |
1.3 MB | Preview Download |
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Checksum: md5:ba06b613a146be2ecb9412acc4be0eb1
PID: http://hdl.handle.net/11304/10258de8-d58d-4c3d-9dea-6e457208d88a |
112.7 kB | Preview Download |
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Checksum: md5:d83a70e9b4620d07bbeca55d72f854a7
PID: http://hdl.handle.net/11304/1efe3a5a-9fff-4bcf-aab1-b90eff0ae749 |
2.3 MB | Preview Download |
Additional details
Identifiers
- b2rec
- 6a3315b7ccbf48aab99c032f9084a64c
LTER metadata
- Metadata URL
- https://deims.org/d6ce4453-17a8-49d8-9c02-caae8b6629a6