According the available statistics, the average annual rate of approximately 700 ha of forested areas are subject to severe degradation caused by wildfires in Kermanshah province located in western Iran. However, the heterogeneous spatial distribution of fires is mainly driven by factors such as the occurrence of harsh mountainous areas, which is coupled with the accessibility problems that notably constrain the ability of administrative units to achieve reliable quantitative information e.g. on the size of the burned areas and the level of damages. The satellite imagery provide useful information on various spatiotemporal scales which enable a more realistic assessment of consequences of forest fire. Therefore, this study aims at testing t...
AbstractWe evaluated the effectiveness of statistical operators Moran's I, Geary's C and Getis and O...
We address the problem of estimating fire impact in Mediterranean forests based on Landsat-TM imager...
ABSTRACT: Large scale forest type mapping using current field methods is time consuming and cost-int...
The extent, frequency and intensity of forest fires in Mediterranean regions have become an importan...
Fire severity can be mapped using Landsat satellite imagery to detect changes in forestfired struct...
Due to the natural conditions and inappropriate management responses, large part of plains and fores...
Remote sensing is a major source of mapping the burned area caused by forest fire. The focus in this...
Forest fires cause major damage to the environment, human health and property, and endanger life. Fi...
Satellite remote sensing, with its unique synoptic coverage capabilities, can provide accurate and i...
Forest and land fire is a catastrophic event that always happens every year in Indonesia. In 2015, f...
Meteorological satellites are appropriate for operational applications related to early warning, mon...
Information on burnt area is of critical importance in many applications as for example in assessing...
Information on burnt area is of critical importance in many applications as for example in assessing...
We evaluated the estimation of the area ratios of the land categories including the total-burn/withe...
During the last two decades, forest and land fire is a catastrophic event that happens almost every ...
AbstractWe evaluated the effectiveness of statistical operators Moran's I, Geary's C and Getis and O...
We address the problem of estimating fire impact in Mediterranean forests based on Landsat-TM imager...
ABSTRACT: Large scale forest type mapping using current field methods is time consuming and cost-int...
The extent, frequency and intensity of forest fires in Mediterranean regions have become an importan...
Fire severity can be mapped using Landsat satellite imagery to detect changes in forestfired struct...
Due to the natural conditions and inappropriate management responses, large part of plains and fores...
Remote sensing is a major source of mapping the burned area caused by forest fire. The focus in this...
Forest fires cause major damage to the environment, human health and property, and endanger life. Fi...
Satellite remote sensing, with its unique synoptic coverage capabilities, can provide accurate and i...
Forest and land fire is a catastrophic event that always happens every year in Indonesia. In 2015, f...
Meteorological satellites are appropriate for operational applications related to early warning, mon...
Information on burnt area is of critical importance in many applications as for example in assessing...
Information on burnt area is of critical importance in many applications as for example in assessing...
We evaluated the estimation of the area ratios of the land categories including the total-burn/withe...
During the last two decades, forest and land fire is a catastrophic event that happens almost every ...
AbstractWe evaluated the effectiveness of statistical operators Moran's I, Geary's C and Getis and O...
We address the problem of estimating fire impact in Mediterranean forests based on Landsat-TM imager...
ABSTRACT: Large scale forest type mapping using current field methods is time consuming and cost-int...