The DIARS toolbox: a spatially explicit approach to monitor alien plant invasions through remote sensing
|Author(s)||Garzon-Lopez Carol X.1, 2, Hattab Tarek2, 3, Skowronek Sandra4, Aerts Raf5, Ewald Michael6, Feilhauer Hannes7, Honnay Olivier5, Decocq Guillaume2, Van De Kerchove Ruben8, Somers Ben9, Schmidtlein Sebastian6, Rocchini Duccio10, 11, 12, Lenoir Jonathan2|
|Affiliation(s)||1 : Ecology and Vegetation physiology group (EcoFiv), Universidad de los Andes, Bogotá, Colombia
2 : UR "Ecologie et Dynamique des Systèmes Anthropisés" (EDYSAN, FRE 3498 CNRS), Université de Picardie Jules Verne, Amiens, France
3 : IFREMER UMR 248 MARBEC, Sète Cedex, France
4 : Institute of Geography, FAU Erlangen-Nuremberg, Erlangen, Germany
5 : Ecology, Evolution and Biodiversity Conservation Section, University of Leuven , Leuven, Belgium
6 : Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany
7 : University of Erlangen-Nürnberg, Erlangen, Germany
8 : VITO, Flemish institute for technological research, Mol, Belgium
9 : Department of Earth & Environmental Sciences, KU Leuven, Leuven, Belgium
10 : Center Agriculture Food Environment, University of Trento, Trento, Italy
11 : Centre for Integrative Biology, University of Trento, Trento, Italy
12 : Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michelle all'Adige, Italy
|Source||Research Ideas and Outcomes (2367-7163) (Pensoft Publishers), 2018-03 , Vol. 4 , P. e25301 (12p.)|
|Keyword(s)||Biological invasions, ecosystem impact, hyperspectral images, LiDAR, species detection and mapping, species distribution models|
The synergies between remote sensing technologies and ecological research have opened new avenues for the study of alien plant invasions worldwide. Such scientific advances have greatly improved our capacity to issue warnings, develop early-response systems and assess the impacts of alien plant invasions on biodiversity and ecosystem functioning. Hitherto, practical applications of remote sensing approaches to support nature conservation actions are lagging far behind scientific advances. Yet, for some of these technologies, knowledge transfer is difficult due to the complexity of the different data handling procedures and the huge amounts of data it involves per spatial unit.
In this context, the next logical step is to develop clear guidelines for the application of remote sensing data to monitor and assess the impacts of alien plant invasions, that enable scientists, landscape managers and policy makers to fully exploit the tools which are currently available. It is desirable to have such guidelines accompanied by freely available remote sensing data and generated in a free and open source environment that increases the availability and affordability of these new technologies.
Here we present a toolbox that provides an easy-to-use, flexible, transparent and open source set of tools to sample, map, model and assess the impact of alien plant invasions using two high-resolution remote sensing products (hyperspectral and LiDAR images). This online toolbox includes a real case dataset designed to facilitate testing and training in any computer system and processing capacity.