Double down on remote sensing for biodiversity estimation: a biological mindset

被引:0
作者
Duccio Rocchini
Michele Torresani
Carl Beierkuhnlein
Enrico Feoli
Giles M. Foody
Jonathan Lenoir
Marco Malavasi
Vítězslav Moudrý
Petra Šímová
Carlo Ricotta
机构
[1] Alma Mater Studiorum University of Bologna,BIOME Lab, Department of Biological, Geological and Environmental Sciences
[2] Czech University of Life Sciences Prague,Faculty of Environmental Sciences, Department of Spatial Sciences
[3] University of Bayreuth,Biogeography, BayCEER
[4] University of Trieste,Department of Life Sciences
[5] University of Nottingham,School of Geography
[6] Université de Picardie Jules Verne,UMR CNRS 7058 “Ecologie et Dynamique des Systèmes Anthropisés” (EDYSAN)
[7] University of Rome “La Sapienza”,Department of Environmental Biology
[8] University of Sassari,Department of Chemistry, Physics, Mathematics and Natural Sciences
[9] Free University of Bolzano/Bozen,Faculty of Science and Technology
来源
Community Ecology | 2022年 / 23卷
关键词
Beta-diversity; Biodiversity; Earth observation; Ecological informatics; Grain; Plant optical types; Remote sensing; Satellite imagery;
D O I
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中图分类号
学科分类号
摘要
In the light of unprecedented planetary changes in biodiversity, real-time and accurate ecosystem and biodiversity assessments are becoming increasingly essential for informing policy and sustainable development. Biodiversity monitoring is a challenge, especially for large areas such as entire continents. Nowadays, spaceborne and airborne sensors provide information that incorporate wavelengths that cannot be seen nor imagined with the human eye. This is also now accomplished at unprecedented spatial resolutions, defined by the pixel size of images, achieving less than a meter for some satellite images and just millimeters for airborne imagery. Thanks to different modeling techniques, it is now possible to study functional diversity changes over different spatial and temporal scales. At the heart of this unifying framework are the “spectral species”—sets of pixels with a similar spectral signal—and their variability over space. The aim of this paper is to summarize the power of remote sensing for directly estimating plant species diversity, particularly focusing on the spectral species concept.
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页码:267 / 276
页数:9
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