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.
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. For detailed information about the methodology: Spinosa, Anna, Mario Alberto Fuentes-Monjaraz, and Ghada El Serafy. 2023. "Assessing the Use of Sentinel-2 Data for Spatio-Temporal Upscaling of Flux Tower Gross Primary Productivity Measurements" Remote Sensing 15, no. 3: 562. https://doi.org/10.3390/rs15030562Technical info
Monthly maps for the year 2019Files
Harz_Central_Germany_GPP_2019_01.tif
Files
(2.7 MB)
| Name | Size | Download all |
|---|---|---|
|
Checksum: md5:085359ca3c9bca9701d2bd86f0d0882a
PID: http://hdl.handle.net/11304/4b047cc3-3b48-4179-8a33-1eb72df3db95 |
2.7 MB | Preview Download |
Additional details
Identifiers
- b2rec
- b31d67e6a3a6468db8a3f2939ecbbe4c
LTER metadata
- Metadata URL
- https://deims.org/d6ce4453-17a8-49d8-9c02-caae8b6629a6