FN Archimer Export Format
PT J
TI The DIARS toolbox: a spatially explicit approach to monitor alien plant invasions through remote sensing
BT 
AF Garzon-Lopez, Carol X.
   Hattab, Tarek
   Skowronek, Sandra
   Aerts, Raf
   Ewald, Michael
   Feilhauer, Hannes
   Honnay, Olivier
   Decocq, Guillaume
   Van De Kerchove, Ruben
   Somers, Ben
   Schmidtlein, Sebastian
   Rocchini, Duccio
   Lenoir, Jonathan
AS 1:1,2;2:2,3;3:4;4:5;5:6;6:7;7:5;8:2;9:8;10:9;11:6;12:10,11,12;13:2;
FF 1:;2:PDG-RBE-MARBEC-LHM;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;13:;
C1 Ecology and Vegetation physiology group (EcoFiv), Universidad de los Andes, Bogotá, Colombia
   UR "Ecologie et Dynamique des Systèmes Anthropisés" (EDYSAN, FRE 3498 CNRS), Université de Picardie Jules Verne, Amiens, France
   IFREMER UMR 248 MARBEC, Sète Cedex, France
   Institute of Geography, FAU Erlangen-Nuremberg, Erlangen, Germany
   Ecology, Evolution and Biodiversity Conservation Section, University of Leuven , Leuven, Belgium
   Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany
   University of Erlangen-Nürnberg, Erlangen, Germany
   VITO, Flemish institute for technological research, Mol, Belgium
   Department of Earth & Environmental Sciences, KU Leuven, Leuven, Belgium
   Center Agriculture Food Environment, University of Trento, Trento, Italy
   Centre for Integrative Biology, University of Trento, Trento, Italy
   Department of Biodiversity and Molecular Ecology, Research and Innovation Centre, Fondazione Edmund Mach, San Michelle all'Adige, Italy
C2 UNIV LOS ANDES, COLOMBIA
   UNIV PICARDIE JULES VERNE, FRANCE
   IFREMER, FRANCE
   UNIV ERLANGEN NURNBERG, GERMANY
   UNIV LEUVEN, BELGIUM
   KIT, GERMANY
   UNIV ERLANGEN NURNBERG, GERMANY
   VITO, BELGIUM
   UNIV LEUVEN, BELGIUM
   UNIV TRENTO, ITALY
   UNIV TRENTO, ITALY
   FOND EDMUND MACH, ITALY
SI SETE
SE PDG-RBE-MARBEC-LHM
UM MARBEC
IN DOAJ
TC 0
UR https://archimer.ifremer.fr/doc/00435/54645/56071.pdf
LA English
DT Article
DE ;Biological invasions;ecosystem impact;hyperspectral images;LiDAR;species detection and mapping;species distribution models
AB 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. 
PY 2018
PD MAR
SO Research Ideas and Outcomes
SN 2367-7163
PU Pensoft Publishers
VL 4
DI 10.3897/rio.4.e25301
ID 54645
ER

EF