You are viewing the Initial Version, the most recent version of this dataset.
1 version(s) available
Date of publication: November 9, 2022

Version 1

Date of publication: November 9, 2022

Type of change:

Description:

preview image

Canopy Chlorophyll Content, Bavarian Forest National Park

by Elnaz Neinavaz

Canopy Chlorophyll Content (CCC) is a terrestrial ecosystem functional EBV that describes the distribution of chlorophyll pigments within the 3D canopy surface. Thus, This defines the total photosynthetically active radiation absorbed by the canopy (Gitelson et al., 2003; Ustin et al., 2009). The chlorophyll content is thought to be one of a constellation of co-evolved traits that vary together across species in relation to contrasting environmen ...(continue reading)

Data: netCDF (137.59MB)
Metadata: ACDD (JSON) | EML (XML)

Canopy Chlorophyll Contente-shapeRemote Sensing-EBVsBavarian Forest National Park

The title of the dataset.
The date on which this version of the data was created in YYYY-MM-DD format.
A paragraph describing the dataset.
Hover to see a suggestion for a good description. Allowed:
Canopy Chlorophyll Content (CCC) is a terrestrial ecosystem functional EBV that describes the distribution of chlorophyll pigments within the 3D canopy surface. Thus, This defines the total photosynthetically active radiation absorbed by the canopy (Gitelson et al., 2003; Ustin et al., 2009). The chlorophyll content is thought to be one of a constellation of co-evolved traits that vary together across species in relation to contrasting environmental conditions (Reich et al., 2003). Monitoring the dynamics of the CCC helps to understand the adaptation of forests, crops, and other plant canopies to such factors (Feret et al., 2017). As a result, the amount and spatial distribution of chlorophyll content are vital for measuring and understanding plant growth, ecosystem primary productivity and ecosystem dynamics. The canopy chlorophyll products for the Bavarian Forest National Park (BFNP) in Germany on a monthly basis are generated under Showcase. 4, pilot 4.3. myVARIABLE of the e-shape project, which commits to the biodiversity conservation requirements, inter alia, and assesses the status and trends of biodiversity. Reference: https://nph.onlinelibrary.wiley.com/doi/pdf/10.1046/j.1469-8137.2003.00703.x
Provide the DOI number of associated publications. Click Plus to add DOIs.
https://doi.org/
10.1029/2002GL016450
https://doi.org/
10.1016/j.rse.2008.10.019
https://doi.org/
10.1016/j.rse.2017.03.004
The method of production of the original data.
Hover to see a suggestion for a minimum description. Sentinel-2A images with 10-meter resolution were acquired in 2018 (from April to October), 2019 (from March to October) and 2020 (from March to September) on a monthly basis, on a relatively cloud-free date(s) (< 10% cloud cover), and were used to predict the Canopy Chlorophyll Content (CCC) for the Bavarian Forest National Park. For retrieval of the CCC, two simple ratio vegetation indices optimized for forests and non-forest vegetation were applied (Ali et al., 2020a; Ali et al., 2020b). Reference: Ali, A. M., Darvishzadeh, R., Skidmore, A., Heurich, M., Paganini, M., Heiden, U., & M\u00fccher, S. (2020a). Evaluating prediction models for mapping canopy chlorophyll content across biomes. Remote Sensing, 12(11), 1788. A. M., Darvishzadeh, R., Skidmore, A., Gara, T. W., O\u2019Connor, B., Roeoesli, C., ... & Paganini, M. (2020b). Comparing methods for mapping canopy chlorophyll content in a mixed mountain forest using Sentinel-2 data. International Journal of Applied Earth Observation and Geoinformation, 87, 102037.
The coverage content type describes the general content type of the resource (multiple selection possible).
The name of the Project.
The URL from the project website. https://e-shape.eu/
The name of the person or other creator type principally responsible for creating this data.
The email of the person or other creator type principally responsible for creating this data. e.neinavaz@utwente.nl
luise.quoss@idiv.de
The names of the co-creators responsible for creating this data. Click Plus to add co-creators.
Select between Creative Commons (CC) or Non-CC license.
Please select the CC license from the list. We recommend the use of CC BY 4.0

Essential Biodiversity Variables

Select the EBV class and the EBV name for the dataset. For cross-cutting use the comment at the bottom of the page for further information.
Genetic composition
Intraspecific genetic diversity
Genetic differentiation
Effective population size
Inbreeding
Other
Species populations
Species distributions
Species abundances
Other
Species traits
Morphology
Physiology
Phenology
Movement
Other
Community composition
Community abundance
Taxonomic and phylogenetic diversity
Trait diversity
Interaction diversity
Other
Ecosystem functioning
Primary productivity
Ecosystem phenology
Ecosystem disturbances
Other
Ecosystem structure
Live cover fraction
Ecosystem distribution
Ecosystem Vertical Profile
Other
Ecosystem services
Pollination
Other
Cross-cutting

Biological entity

Select the entity type of the dataset.
Species
Communities
Ecosystems
Other
None
A description of the range of taxa or ecosystem types addressed in the dataset. E.g. "300 species of mammals”, “Forests”, etc.
The reference as a URL. http://rsebv.itc.utwente.nl/

Metric

Provide the name, description, units of minimum 1 metric. Click Plus to add metrics.

Scenario

If applicable, name the scenario's exercise, the version and provide a URL to the reference.
Click Plus to add scenarios.

Spatial domain

Global
Continental/Regional
National
Sub-national/Local
Name of the continent/region/country/area, separated by comma
southWest lat: 5413740, lon: 366150
northEast lat: 5442900, lon: 398040

Temporal domain

The targeted time period between each value in the dataset.
decadal
annually
monthly
weekly
daily
Other
Irregular
Single time
Select the temporal extent of the dataset.
When the dataset represents a Single time, then use the same start and end date.
-

Environmental domain *

Terrestrial
Marine
Freshwater
Miscellaneous information about the data, not captured elsewhere. E-shape is a unique initiative that combines decades of public investment in Earth Observation and cloud capabilities into services for the decision-makers, the citizens, the industry and the researchers. It allows Europe to position itself as a global force in Earth observation by leveraging Copernicus, using existing European capacities and improving user uptake of the data from GEO assets. In the e-shape initiative, 27 cloud-based pilot applications under the seven thematic areas address societal challenges, foster entrepreneurship and support sustainable development in alignment with the three main GEO priorities (e.g., SDGs, Paris Agreement and Sendaï Framework). Links to the data: https://dikke.itc.utwente.nl:5001/sharing/1hPVX83c8 https://dikke.itc.utwente.nl:5001/sharing/np2KkXNg6 https://dikke.itc.utwente.nl:5001/sharing/67YGOTlvc