The spectral species concept in living color

0562355 - BÚ 2023 RIV US eng J - Journal Article
Rocchini, D. - Santos, M. J. - Ustin, S. L. - Féret, J.-B. - Anser, G. P. - Beierkuhnlein, C. - Dalponte, M. - Feilhauer, H. - Foody, G. M. - Geller, G. N. - Gillespie, T. W. - He, K. S. - Kleijn, D. - Leitão, P. J. - Malavasi, M. - Moudrý, V. - Müllerová, Jana - Nagendra, H. - Normand, S. - Ricotta, C. - Schaepman, M. E. - Schmidtlein, S. - Skidmore, A. K. - Šímová, P. - Torresani, M. - Townsend, P. A. - Turner, W. - Vihervaara, P. - Wegmann, M. - Lenoir, J.
The spectral species concept in living color.
Journal of Geophysical Research-Biogeosciences. Roč. 127, č. 9 (2022), č. článku e2022JG007026. ISSN 2169-8953. E-ISSN 2169-8961
Institutional support: RVO:67985939
Keywords : biodiversity * remote sensing * vegetation
OECD category: Ecology
Impact factor: 3.7, year: 2022
Method of publishing: Open access
https://doi.org/10.1029/2022JG007026

Biodiversity monitoring based on field data is almost inconceivable at the scale of the entire Earth. Over the past decades, remote sensing has opened possibilities for Earth observation from air and space, allowing us to monitor ecological change, primarily expressed by changes in vegetation cover, distribution, and functioning, which can be subsequently linked to drivers of change in space and time, from local to global scale. Recently, the spectral species concept—an algorithm that clusterizes pixels from spectral images having a similar spectral signal (referred to as ‘spectral species’)—has brought attention. The aim of this paper is to review the ecological functioning principles of the spectral species concept and to refine its definition by a better linkage with field observations of plant species distribution data (i.e., presence-absence data) available from vegetation surveys.
Permanent Link: https://hdl.handle.net/11104/0334896