FN Archimer Export Format
PT J
TI Improving Intertidal Reef Mapping Using UAV Surface, Red Edge, and Near-Infrared Data
BT 
AF Collin, Antoine
   Dubois, Stanislas
   James, Dorothée
   Houet, Thomas
AS 1:1;2:2;3:1;4:3;
FF 1:;2:PDG-ODE-DYNECO-LEBCO;3:;4:;
C1 Ecole Pratique des Hautes Etudes, PSL Université Paris, CNRS LETG, 35800 Dinard, France
   IFREMER, laboratoire d’écologie benthique côtière (LEBCO), 29280 Plouzané, France
   CNRS, Université Rennes 2, Unité Mixte de Recherche 6554 LETG, 35000 Rennes, France
C2 EPHE, FRANCE
   IFREMER, FRANCE
   CNRS, FRANCE
SI BREST
SE PDG-ODE-DYNECO-LEBCO
IN WOS Ifremer UPR
   DOAJ
   copubli-france
IF 5.532
TC 22
UR https://archimer.ifremer.fr/doc/00512/62326/66584.pdf
LA English
DT Article
DE ;reefs;red edge;near-infrared;digital surface model;classification;Sabellaria alveolata
AB Coastal living reefs provide considerable services from tropical to temperate systems. Threatened by global ocean-climate and local anthropogenic changes, reefs require spatially explicit management at the submeter scale, where socioecological processes occur. Drone surveys have adequately addressed these requirements with red-green-blue (RGB) orthomosaics and digital surface models (DSMs). The use of ancillary spectral bands has the potential to increase the mapping of all reefscapes that emerge during low tide. This research investigates the contribution of the drone-based red edge (RE), near-infrared (NIR), and DSM into the classification accuracy of five main habitats of the largest intertidal biogenic reefs in Europe, built by the honeycomb worm Sabellaria alveolata. Based on photoquadrats and the maximum likelihood algorithm, overall, producer’s and user’s accuracies were distinctly augmented. When isolated, the DSM provided the highest gain percentage (3.42%), followed by the NIR (2.58%), and RE (2.02%). When joined, the combination of the DSM with both RE and NIR was the best contributor (4.98%), followed by the DSM with RE (4.80%), DSM with NIR (3.74%), and RE with NIR (3.22%). At the class scale, all datasets increasingly advantaged sand, gravel, reef, mud and water. The rather low effect of the DSM with NIR (3.74%) was assumed to be linked with a statistical noise originated from redundant information in the intertidal area 
PY 2019
PD SEP
SO Drones
SN 2504-446X
PU MDPI AG
VL 3
IS 3
UT 000682822500016
DI 10.3390/drones3030067
ID 62326
ER

EF