NDLI: Remote Sensing to Detect Nests of the Leaf-Cutting Ant Atta sexdens (Hymenoptera: Formicidae) in Teak Plantations

Content Provider	Directory of Open Access Journals (DOAJ)
Author	Isabel Carolina de Lima Santos Alexandre dos Santos Zakariyyaa Oumar Marcus Alvarenga Soares Július César Cerqueira Silva Ronald Zanetti José Cola Zanuncio
Abstract	Leaf-cutting ants of the genus Atta are an important insect pest in forest plantations in many countries of South America. The objective of this work was to evaluate the potential for using Landsat-8 images, with medium spatial resolution and distributed free of charge, to detect leaf-cutting ant nests in Tectona grandis plantations in Brazil, using partial least squares discriminant analysis (PLS-DA). The regression model adjusted by PLS-DA selected three principal components with a cross-validation error of 0.275 to map and predict the presence of leaf-cutting ant nests in these plantations. The most important bands and vegetation indices were selected using the main variables in the projection (VIP) and predicted pixels with the presence or absence of leaf-cutting ant nests with an accuracy of 72.3% on an independent validation data set. The study indicates that Landsat-8 OLI images have the potential to detect and map leaf-cutting ant nests in T. grandis plantations.
e-ISSN	20724292
DOI	10.3390/rs11141641
Journal	Remote Sensing
Issue Number	14
Volume Number	11
Language	English
Publisher	MDPI AG
Publisher Date	2019-07-01
Publisher Place	Switzerland
Access Restriction	Open
Subject Keyword	Science Landsat-8 Oli Leaf-cutting Ants Medium Resolution Images Multivariate Analysis Tectona Grandis
Content Type	Text
Resource Type	Article

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