Evento
Maxent model application for tree pest monitoring
Tipo del evento:
Simposio
Nombre del evento:
International Symposium on Geoscience and Remote Sensing
Fecha del evento:
28/07/2019
Institución Organizadora:
Institute of Electrical and Electronics Engineers;
The Geoscience and Remote Sensing Society;
Título del Libro:
International Symposium on Geoscience and Remote Sensing
Editorial:
Institute of Electrical and Electronics Engineers
ISBN:
978-1-5386-9154-0
Idioma:
Inglés
Clasificación temática:
Resumen
Tree pests can cause rapid and widespread damage, reducing the economic value of plants, production, in the case of fruit trees, and their role in mitigating climate change. There are several diseases that affect trees, including, for example, pine tree nematode (PWN), trunk fungal diseases, or Xylella fastidiosa (Xf).Mapping of diseased plants based on visual or automatic analysis of remote sensing data could be a useful support for in situ investigation planning. However, there is a clear need for better modeling methods to elaborate potential critical scenarios in order to early detect diseases (e.g. Xf) in host plants.Maxent (Maximum Entropy) has proved powerful when modeling species with available scarce presence-only occurrence data. The purpose is to predict potential distributions or explore expanding distributions. In this work we applied the Maxent model comparing local modeling results with worldwide cases towards a more comprehensive analysis of potential pest risk zones.
Palabras clave:
REMOTE SENSING
,
XYLELLA FASTIDIOSA
,
OLIVES
,
TREE PEST
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Eventos(CERZOS)
Eventos de CENTRO REC.NAT.RENOVABLES DE ZONA SEMIARIDA(I)
Eventos de CENTRO REC.NAT.RENOVABLES DE ZONA SEMIARIDA(I)
Citación
Maxent model application for tree pest monitoring; International Symposium on Geoscience and Remote Sensing; Japón; 2019; 6664-6666
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