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Remote Sensing for Insect Outbreak Detection and Assessment in Latin America

  • Roberto O. ChávezEmail author
  • Ronald Rocco
Chapter
  • 25 Downloads

Abstract

Compared to the Northern Hemisphere, literature concerning remote sensing applications for insect outbreak detection and assessment is scarce in the Southern Hemisphere in general and in Latin America in particular. After a thorough literature review, we found few studies describing insect outbreaks in this part of the world, from which the case of the native moth Ormiscodes amphimone outbreaks in the Argentinian and Chilean Patagonia seems to be most relevant in Latin America. Only in Chile Ormiscodes amphimone disruptions have caused complete defoliation over 164,000 ha between 2000 and 2015 with the largest single continuous event (one growing season) accurately measured with remote sensing of about 25,000 ha. There are indications of other relevant outbreaks in Latin American countries, like the case of Thaumastocoris peregrinus attacks in Eucalyptus plantations in Brazil, but remote sensing assessments still need to be done. Potential causes of this scientific literature shortage could be that (1) there would be ongoing remote sensing applications for detecting and mapping forest pests in commercial plantations, but they would not be publicly available due to restrictions from timber companies; (2) main national and international remote sensing efforts are focused on assessing deforestation and degradation of Latin American forests (a threat especially relevant for tropical forest in the Amazon), while insect outbreaks may not be a main threat; and (3) there may be a lack of remote sensing specialists or existing specialists are not interested in insect outbreaks. We believe there is a research gap on insect outbreak detection and mapping using remote sensing in Latin America and that we have a great opportunity to fill this gap considering the large amount of open access satellite data and software.

Keywords

Open-access Satellite imagery Early alerts Technological challenges Pest management opportunities 

Notes

Acknowledgments

This research was funded by Fondo Nacional de Desarrollo Científico y Tecnológico of Chile, Grant Number: 1160370; CONICYT PAI Number: 82140001; Fondecyt Iniciación Grant Number: 11171046. The authors also want to thank Matías Olea for making Fig. 4.2.

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Laboratorio de Geo-Información y Percepción RemotaInstituto de Geografía, Pontificia Universidad Católica de ValparaísoValparaísoChile

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