RT info:eu-repo/semantics/article
T1 Remote monitoring of forest insect defoliation.A review.
A1 Rullán Silva, Cristóbal Daniel
A1 Olthoff, Adriana Ema
A1 Delgado de la Mata, José Antonio
A1 Pajares Alonso, Juan Alberto
K1 Árboles - Enfermedades y plagas
K1 Insectos perjudiciales y útiles
K1 Bosques y silvicultura
K1 Bosques - Gestión
K1 3106 Ciencia Forestal
K1 3108 Fitopatología
AB 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.
PB Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
SN 2171-5068
YR 2013
FD 2013
LK https://uvadoc.uva.es/handle/10324/50660
UL https://uvadoc.uva.es/handle/10324/50660
LA eng
NO Forest systems, 2013, Vol. 22, Nº. 3, págs. 377-391
NO Producción Científica
DS UVaDOC
RD 17-jul-2024