2026-05-05T22:04:03Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/506602021-12-01T09:57:35Zcom_10324_7492com_10324_952com_10324_894col_10324_7493

00925njm 22002777a 4500 dc Rullán Silva, Cristóbal Daniel author Olthoff, Adriana Ema author Delgado de la Mata, José Antonio author Pajares Alonso, Juan Alberto author 2013 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. 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 Árboles - Enfermedades y plagas Insectos perjudiciales y útiles Bosques y silvicultura Bosques - Gestión Remote monitoring of forest insect defoliation.A review.