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Remote Sens. 2017, 9(9), 913; doi:10.3390/rs9090913

Mapping of the Invasive Species Hakea sericea Using Unmanned Aerial Vehicle (UAV) and WorldView-2 Imagery and an Object-Oriented Approach

1
GEOINCA-202, Universidad de León, Campus de Ponferrada C/Avda. de Astorga s/n, 24401 Ponferrada, León, Spain
2
Escola Superior Agraria, Instituto Politécnico de Viana do Castelo, 4990-706 Refóios do Lima, Ponte de Lima, Portugal
*
Author to whom correspondence should be addressed.
Academic Editors: Duccio Rocchini, Alfredo R. Huete and Prasad S. Thenkabail
Received: 17 July 2017 / Revised: 23 August 2017 / Accepted: 30 August 2017 / Published: 1 September 2017
View Full-Text   |   Download PDF [5400 KB, uploaded 1 September 2017]   |  

Abstract

Invasive plants are non-native species that establish and spread in their new location, generating a negative impact on the local ecosystem and representing one of the most important causes of the extinction of local species. The first step for the control of invasion should be directed at understanding and quantification of their location, extent and evolution, namely the monitoring of the phenomenon. In this sense, the techniques and methods of remote sensing can be very useful. The aim of this paper was to identify and quantify the areas covered by the invasive plant Hakea sericea using high spatial resolution images obtained from aerial platforms (Unmanned Aerial Vehicle: UAV/drone) and orbital platforms (WorldView-2: WV2), following an object-oriented image analysis approach. The results showed that both data were suitable. WV2reached user and producer accuracies greater than 93% (Estimate of Kappa (KHAT): 0.95), while the classifications with the UAV orthophotographs obtained accuracies higher than 75% (KHAT: 0.51). The most suitable data to use as input consisted of using all of the multispectral bands that were available for each image. The addition of textural features did not increase the accuracies for the Hakea sericea class, but it did for the general classification using WV2. View Full-Text
Keywords: high spatial resolution; pan-sharpening; texture; OBIA; invasive plant high spatial resolution; pan-sharpening; texture; OBIA; invasive plant
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Alvarez-Taboada, F.; Paredes, C.; Julián-Pelaz, J. Mapping of the Invasive Species Hakea sericea Using Unmanned Aerial Vehicle (UAV) and WorldView-2 Imagery and an Object-Oriented Approach. Remote Sens. 2017, 9, 913.

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