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) | Viewed by 50184
Special Issue Editors
Interests: biodiversity estimate; computational ecology; ecological informatics; remote sensing; spatial ecology
Special Issues, Collections and Topics in MDPI journals
Interests: invasive mosquito ecology; species dispersal theory and application; invasive species dynamics; remote sensing; species distribution modelling; functional ecology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
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
Guest Editors
Related References
- 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.
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Keywords
- Biological invasions
- Remote sensing
- Human health
- Biodiversity
- Spatial ecology
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