Athira, Kakkara and Jaishanker, Raghunathan Nair and Rajan, Sajeev C and Dadhwal, Vinay Kumar
(2023)
Remote sensing of flowers.
Ecological Informatics, 78 (102369).
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| Abstract: |
The language of color pervades the natural world, with flowers being prime exemplars of communicating with color. Our understanding of floral colors is predominantly qualitative. It hinders the comprehensive decoding of information relayed through vibrant displays. Here we present the results of quantitative studies of floral colors by integrating hyperspectral remote sensing and color science. Further, we present the Indian Floral Spectral database, comprising spectral reflectance data for 686 angiosperm species in Kerala, India. Analysis of the elements in the database reveals intriguing insights into the altitudinal variability in human-perceived floral colors across nine angiosperm species. Our research introduces a novel approach that utilizes floral spectral reflectance data to study subtle changes in the landscape. Through the examination of floral color variations, we gain valuable insights into intra and inter-specific plant communications. The quantified floral colors posit as an objective plant trait, a prospective Tier I indicator of biodiversity targets. |
| Item Type: |
Journal Paper
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| Subjects: |
School of Natural and Engineering Sciences > Ecology
School of Natural and Engineering Sciences > Energy and Environment |
| Divisions: |
Schools > Natural Sciences and Engineering |
| Date Deposited: |
05 Jun 2024 07:17 |
| Last Modified: |
05 Jun 2024 07:17 |
| Official URL: |
https://www.sciencedirect.com/science/article/abs/... |
| Related URLs: |
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| Funders: |
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| Projects: |
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| DOI: |
https://doi.org/10.1016/j.ecoinf.2023.102369 |
| URI: |
http://eprints.nias.res.in/id/eprint/2731 |
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