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
暂无
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.
引用
收藏
页码:267 / 276
页数:9
相关论文
共 50 条
  • [21] Selecting and conserving lands for biodiversity: The role of remote sensing
    Wiens, John
    Sutter, Robert
    Anderson, Mark
    Blanchard, Jon
    Barnett, Analie
    Aguilar-Amuchastegui, Naikoa
    Avery, Chadwick
    Laine, Stephen
    REMOTE SENSING OF ENVIRONMENT, 2009, 113 (07) : 1370 - 1381
  • [22] Object-oriented remote sensing tools for biodiversity assessment: A European approach
    Ivits, E
    Koch, B
    GEOINFORMATION FOR EUROPEAN-WIDE INTEGRATION, 2003, : 465 - 472
  • [23] Remote sensing of legacy effects of biodiversity on crop performance
    Peguero, Guille
    Burkart, Andreas
    Iniguez, Esther
    Rodriguez, Antonio
    Llurba, Rosa
    Sebastia, M. -Teresa
    AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2023, 345
  • [24] Sustainable Biodiversity Management in India: Remote Sensing Perspective
    Reddy, C. Sudhakar
    Diwakar, P. G.
    Murthy, Y. V. N. Krishna
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES INDIA SECTION A-PHYSICAL SCIENCES, 2017, 87 (04) : 617 - 627
  • [25] Regional ET Estimation with Remote Sensing
    Wu Bingfang
    Sun Minzhang
    Yan Nana
    RIVER BASIN RESEARCH AND PLANNING APPROACH, 2009, : 187 - +
  • [26] Harnessing essential biodiversity variables and remote sensing of earth observations - synthesizing biodiversity insights
    Reddy, C. Sudhakar
    Satish, K. V.
    Saranya, K. R. L.
    Surya, N. Nitish Sri
    Neha, P. A.
    Rajashekar, G.
    SPATIAL INFORMATION RESEARCH, 2024, 32 (03) : 265 - 276
  • [27] Estimation of paddy yield by remote sensing
    Eiji, Y
    PROCEEDINGS OF THE INTERNATIONAL AGRICULTURAL ENGINEERING CONFERENCE, 2000, : 550 - 555
  • [28] Developing an Integrated Remote Sensing Based Biodiversity Index for Predicting Animal Species Richness
    Wu, Jinhui
    Liang, Shunlin
    REMOTE SENSING, 2018, 10 (05)
  • [29] How Essential Biodiversity Variables and remote sensing can help national biodiversity monitoring
    Vihervaara, Petteri
    Auvinen, Ari-Pekka
    Mononen, Laura
    Torma, Markus
    Ahlroth, Petri
    Anttila, Saku
    Bottcher, Kristin
    Forsius, Martin
    Heino, Jani
    Heliola, Janne
    Koskelainen, Meri
    Kuussaari, Mikko
    Meissner, Kristian
    Ojala, Olli
    Tuominen, Seppo
    Viitasalo, Markku
    Virkkala, Raimo
    GLOBAL ECOLOGY AND CONSERVATION, 2017, 10 : 43 - 59
  • [30] Remote Sensing for Urban Biodiversity: A Review and Meta-Analysis
    Finizio, Michele
    Pontieri, Federica
    Bottaro, Chiara
    Di Febbraro, Mirko
    Innangi, Michele
    Sona, Giovanna
    Carranza, Maria Laura
    REMOTE SENSING, 2024, 16 (23)