2026-07-21T07:03:36Zhttps://uvadoc.uva.es/oai/requestoai:uvadoc.uva.es:10324/506602021-12-01T09:57:35Zcom_10324_7492com_10324_952com_10324_894col_10324_7493
Rullán Silva, Cristóbal Daniel
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600
Olthoff, Adriana Ema
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Delgado de la Mata, José Antonio
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0000-0002-4098-5030
Pajares Alonso, Juan Alberto
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0000-0002-4682-8984
2021-11-29T13:27:35Z
2021-11-29T13:27:35Z
2013
Forest systems, 2013, Vol. 22, Nº. 3, págs. 377-391
2171-5068
https://uvadoc.uva.es/handle/10324/50660
10.5424/fs/2013223-04417
377
3
391
Forest Systems
22
2171-9845
Producción Científica
Aim of study: This paper reviews the global research during the last 6 years (2007-2012) on the state, trends and potential of remote sensing for detecting, mapping and monitoring forest defoliation caused by insects. Area of study: The review covers research carried out within different countries in Europe and America. Main results: A nation or region wide monitoring system should be scaled in two levels, one using time-series with moderate to coarse resolutions, and the other with fine or high resolution. Thus, MODIS data is increasingly used for early warning detection, whereas Landsat data is predominant in defoliation damage research. Furthermore, ALS data currently stands as the more promising option for operative detection of defoliation. Vegetation indices based on infrared-medium/near-infrared ratios and on moisture content indicators are of great potential for mapping insect pest defoliation, although NDVI is the most widely used and tested. Research highlights: Among most promising methods for insect defoliation monitoring are Spectral Mixture Analysis, best suited for detection due to its sub-pixel recognition enhancing multispectral data, and use of logistic models as function of vegetation index change between two dates, recommended for predicting defoliation.
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eng
Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/4.0/
© Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
Attribution-By 4.0 Internacional
Árboles - Enfermedades y plagas
Insectos perjudiciales y útiles
Bosques y silvicultura
Bosques - Gestión
3106 Ciencia Forestal
3108 Fitopatología
Remote monitoring of forest insect defoliation.A review.
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
https://revistas.inia.es/index.php/fs/article/view/4417
SI
THUMBNAIL
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RemoteMonitoringOfForestInsectDefoliation.pdf
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