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Special Issue "Advances in Remote Sensing Applications for the Detection of Biological Invasions"
A special issue of Remote Sensing (ISSN 2072-4292).
Deadline for manuscript submissions: closed (31 December 2018).
Centre for Integrative Biology, University of Trento, Via Sommarive, 14, 38123 Povo (TN), Italy
Department of Biodiversity and Molecular Ecology, Fondazione Edmund Mach, Research and Innovation Centre, Via E. Mach 1, 38010 S. Michele all'Adige (TN), Italy
Interests: biodiversity estimate; ecological informatics; remote sensing; species distribution modelling
Special Issues and Collections in MDPI journals
Special Issue in ISPRS International Journal of Geo-Information: Geospatial Monitoring and Modelling of Environmental Change
Special Issue in Remote Sensing: Earth Observation for Ecosystems Monitoring in Space and Time
Special Issue in Diversity: Biodiversity Study by Remote Sensing
Special Issue in ISPRS International Journal of Geo-Information: Spatial Ecology
Special Issue in Sensors: Earth Observation for Biodiversity and Ecosystem Services: Remote Sensing Data Handling and Analysis
Special Issue in Remote Sensing: Remote Sensing for Biodiversity, Ecology and Conservation
Special Issue in Remote Sensing: Artifacts in Remote Sensing Data Analysis: An Ecological Perspective
Special Issue in Remote Sensing: Remote Sensing in Ecosystem Modelling
Interests: biological invasions; urban ecology; invasive mosquitoes; spread dynamics of invasive species; functional ecology
Biological invasions are a threat for biodiversity, economics and human health. Tools that enable early detection or forecasting of biological invasions as well as characterizing current invasive populations, contribute to the preservation of biological diversity and to human health (e.g., considering the invasive species vector of pathogens, emerging pathogenic species, etc.).
The application of remote sensing is at the frontiers of biological invasion research. Indeed, remote sensing is an invaluable tool that, coupled with traditional scientific data collection, modeling, and analysis, is contributing to more reliable detection, forecasting, and mitigation of invasive species populations.
On the one hand, the data produced by remote sensing technologies is stimulating innovative methods to predict or track invasive species. On the other hand, the effective exploitation and application of such remote sensing datasets in space and over historical trajectories, lags behind their potential contribution and benefits to the study of biological invasions. We call for papers that fill this gap, and advance or stimulate research in remote sensing applications in biological invasion studies, with special interest in applications accounting for spatial variability across scales, biological invasion forecasting, and threats to biodiversity, human health and economics.
Prof. Duccio Rocchini
Dr. Matteo Marcantonio
- Carter,A.; Lucas, K.L.; Blossom, G.A.; Lassitter, C.L.; Holiday, D.M.; Mooneyhan, D.S.; et al. remote sensing and mapping of Tamarisk along the Colorado River, USA: A comparative use of summer-acquired hyperion, Thematic Mapper and QuickBird Data. Remote Sens. 2009, 1, 318–329.
- Marcantonio, M.; Metz, M.; Baldacchino, F; Arnoldi, D.; Montarsi, F.; Capelli, G.; Carlin, S.; Neteler, M.; Rizzoli, A. First assessment of potential distribution and dispersal capacity of the emerging invasive mosquito Aedes koreicus in Northeast Italy. Vectors 2016, doi:10.1186/s13071-016-1340-9.
- Rocchini, D.; Andreo, V.; Forster, M.; Garzon-Lopez, C.X.; Gutierrez, A.P.; Gillespie, T.W.; Hauffe, H.C.; He, K.S.; Kleinschmit, B.; Mairota, P.; et al. Potential of remote sensing to predict species invasions: A modelling perspective. Phys. Geogr. 2015, 39, 283–309.
- Gutierrez, A.P.; Ponti, L.; Dalton, D.T. Analysis of the invasiveness of spotted wing Drosophila (Drosophila suzukii) in North America, Europe, and the Mediterranean Basin. Invasions. 2016, doi:10.1007/s10530-016-1255-6.
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Biological invasions
- Remote sensing
- Human health
- Spatial ecology