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Date of publication: November 9, 2022

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Date of publication: November 9, 2022

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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)

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Canopy Chlorophyll Contente-shapeRemote Sensing-EBVsBavarian Forest National Park

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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: nph.onlinelibrary.wiley.com/doi/pdf/10.1046/j.1469-8137.2003.00703.x
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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
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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.
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Essential Biodiversity Variables

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Species traits
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Community composition
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Ecosystem functioning
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Ecosystem structure
Live cover fraction
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Ecosystem services
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Cross-cutting

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The reference as a URL. http://rsebv.itc.utwente.nl/

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southWest lat: 5413740, lon: 366150
northEast lat: 5442900, lon: 398040

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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: dikke.itc.utwente.nl:5001/sharing/1hPVX83c8 dikke.itc.utwente.nl:5001/sharing/np2KkXNg6 dikke.itc.utwente.nl:5001/sharing/67YGOTlvc