Search results for "Chlorophyll c"

showing 2 items of 32 documents

Water-depth effects in photosynthetic pigment content of the benthic algae Dictyota dichotoma and Udotea petiolata

1981

Abstract The effect of water depth on the light-harvesting pigments contents in Dictyota dichotoma (Hudson) Lamouroux and Udotea petiolata (Turra) Borgesen was studied. Both species showed higher photosynthetic-pigments contents with increased depth or shade. The ratios of chlorophyll c /chlorophyll a and chlorophyll b / chlrophyll a in D. dichotoma and U. petiolata were lower in light-exposed samples. In D. dichotoma , the ratios of fucoxanthin to chlorophyll a increased with depth or shade; however, it is worth noting that the 0 m (sun) samples showed the highest values. On the other hand, total carotenoids to chlorophyll a ratios in U. petiolata increased with depth.

chemistry.chemical_classificationChlorophyll bChlorophyll abiologyChlorophyll cPlant SciencePhotosynthetic pigmentAquatic Sciencebiology.organism_classificationchemistry.chemical_compoundPigmentchemistryvisual_artBotanyvisual_art.visual_art_mediumFucoxanthinCarotenoidUdoteaAquatic Botany
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Evaluation of Hybrid Models to Estimate Chlorophyll and Nitrogen Content of Maize Crops in the Framework of the Future CHIME Mission

2022

In the next few years, the new Copernicus Hyperspectral Imaging Mission (CHIME) is foreseen to be launched by the European Space Agency (ESA). This mission will provide an unprecedented amount of hyperspectral data, enabling new research possibilities within several fields of natural resources, including the “agriculture and food security” domain. In order to efficiently exploit this upcoming hyperspectral data stream, new processing methods and techniques need to be studied and implemented. In this work, the hybrid approach (HYB) and its variant, featuring sampling dimensionality reduction through active learning heuristics (HAL), were applied to CHIME-like data to evaluate the…

chlorophyll contentmachine learning regression algorithmactive learningGeneral Earth and Planetary Sciencesspaceborne imaging spectroscopyradiative transfer modelingGaussian process regressionnitrogen contentRemote Sensing
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