首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Applying Local Measures of Spatial Heterogeneity to Landsat-TM Images for Predicting Wildfire Occurrence in Mediterranean Landscapes
Authors:Cristina Vega-García  Emilio Chuvieco
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
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.
Keywords:Forest fire  Landsat  Landscape pattern  Mediterranean landscape  Remote sensing  Spain  Wildfire occurrence
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号