Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges

DSpace/Manakin Repository

Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges

Show full item record

Title: Using Unmanned Aerial Vehicles in Postfire Vegetation Survey Campaigns through Large and Heterogeneous Areas: Opportunities and Challenges
Author: Fernández-Guisuraga, José Manuel;Sanz Ablanedo, Enoc;Suárez Seoane, Susana;Calvo Galván, Leonor
xmlui.dri2xhtml.METS-1.0.item-contributor: Facultad de Ciencias Biologicas y Ambientales
xmlui.dri2xhtml.METS-1.0.item-area: Ecologia
Abstract: This study evaluated the opportunities and challenges of using drones to obtain multispectral orthomosaics at ultra-high resolution that could be useful for monitoring large and heterogeneous burned areas. We conducted a survey using an octocopter equipped with a Parrot SEQUOIA multispectral camera in a 3000 ha framework located within the perimeter of a megafire in Spain. We assessed the quality of both the camera raw imagery and the multispectral orthomosaic obtained, as well as the required processing capability. Additionally, we compared the spatial information provided by the drone orthomosaic at ultra-high spatial resolution with another image provided by theWorldView-2 satellite at high spatial resolution. The drone raw imagery presented some anomalies, such as horizontal banding noise and non-homogeneous radiometry. Camera locations showed a lack of synchrony of the single frequency GPS receiver. The georeferencing process based on ground control points achieved an error lower than 30 cm in X-Y and lower than 55 cm in Z. The drone orthomosaic provided more information in terms of spatial variability in heterogeneous burned areas in comparison with theWorldView-2 satellite imagery. The drone orthomosaic could constitute a viable alternative for the evaluation of post-fire vegetation regeneration in large and heterogeneous burned areas
xmlui.dri2xhtml.METS-1.0.item-desfisica: 17 p.
xmlui.dri2xhtml.METS-1.0.item-peerreviewed: SI
Publisher: MDPI
xmlui.dri2xhtml.METS-1.0.item-citation: Sensors, 2018, vol. 18, n. 2
URI: http://hdl.handle.net/10612/7477
Date: 2018-02-14
xmlui.dri2xhtml.METS-1.0.item-tipo: info:eu-repo/semantics/article
Subject: Ecología. Medio ambiente
xmlui.dri2xhtml.METS-1.0.item-palclave: Drone
Megafire
Multispectral imagery
Parrot SEQUOIA
UAV
WorldView-2
xmlui.dri2xhtml.METS-1.0.item-accessRights: info:eu-repo/semantics/openAccess
Exportar referencia a Refworks:


Files in this item

Files Size Format View
4 - Using unmanned aerial vehicles.pdf 3.482Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record

Search DSpace


Advanced Search

Browse

My Account

Statistics