Applying Local Measures of Spatial Heterogeneity to Landsat-TM Images for Predicting Wildfire Occurrence in Mediterranean Landscapes |
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Authors: | Cristina Vega-García Emilio Chuvieco |
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Institution: | (1) Agriculture and Forest Engineering Department, University of Lleida, Avda. Alcalde Rovira Roure 191, 25198 Lleida, Spain;(2) Department of Geography, University of Alcalá, C/Colegios 2, 28801 Alcalá, Spain |
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Abstract: | In mountainous Mediterranean regions, land abandonment processes in past decades are hypothesized to trigger secondary vegetal
succession and homogenization, which in recent years has increased the size of burned areas. We conducted an analysis of temporal
changes in landscape vegetal spatial pattern over a 15-year period (1984–1998) in a rural area of 672.3 km2 in Eastern Spain to investigate the relationship between local landscape heterogeneity and wildfire occurrence. Heterogeneity
was analyzed from textural metrics derived from non-classified remote sensing data at several periods, and was related to
wildfire history in the study area. Several neural network models found significant relationships between local spatial pattern
and future fire occurrence. In this study, sensitivity analysis of the texture variables suggested that fire occurrence, estimated
as probability of burning in the near future, increased where local homogeneity was higher. |
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Keywords: | Forest fire Landsat Landscape pattern Mediterranean landscape Remote sensing Spain Wildfire occurrence |
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