There are frequently no bases for economically evaluating a forest, following fire. An evaluation needs to consider: a) The original commercial value of the forest (timber, tourism, germ plasma etc.) b) The cost of restoring the forest to its original condition; and c) The opportunity cost involved in restoration. This is essentially feasible, provided that the original state of the forest area prior to the fire is known. However, one of the most frequent problems in the management of forest resources is the difficulty in defining the spatial distribution of the forest characteristics. In this study the use of geo-statistical techniques are described and the manner in which they are used to define the continuous surfaces of some characteris...
Geostatistics is one of the tools applied to investigate the spatial variability of forests to reduc...
This work presents a new method for characterising forests with remote sensing data using numerical ...
AbstractWe evaluated the effectiveness of statistical operators Moran's I, Geary's C and Getis and O...
ABSTRACT The aim of this study was to estimate the basal area, through traditional sampling process...
Investigation on spatial distribution of tree growth characteristics in different forest stands, has...
ABSTRACT: This work evaluated the potential of a geostatistical interpolator for defining strata and...
To assess Forest Biomass availability requires a hard field work survey and elaborate calculation te...
Abstract The interaction of various elements of socioeconomic, political and cultural nature, influe...
Prescribed fire is used as a site treatment after timber har-vesting. These fires result in spatial ...
The increasing availability of remote sensing data at no or low costs can be used as ancillary data ...
Forest ecosystems represent an important means of ecosystem services; they are key as carbon sinks, ...
This study shows a simplified approach for calculating emissions associated with forest fires in Mex...
Although forest fire behavior can be simulated through the use of many of the systems that currently...
Considering the hypothesis that the wood volumes present spatial dependence, whose knowle...
This work aimed to apply geostatistical analysis to verify the existence of spatial dependence in th...
Geostatistics is one of the tools applied to investigate the spatial variability of forests to reduc...
This work presents a new method for characterising forests with remote sensing data using numerical ...
AbstractWe evaluated the effectiveness of statistical operators Moran's I, Geary's C and Getis and O...
ABSTRACT The aim of this study was to estimate the basal area, through traditional sampling process...
Investigation on spatial distribution of tree growth characteristics in different forest stands, has...
ABSTRACT: This work evaluated the potential of a geostatistical interpolator for defining strata and...
To assess Forest Biomass availability requires a hard field work survey and elaborate calculation te...
Abstract The interaction of various elements of socioeconomic, political and cultural nature, influe...
Prescribed fire is used as a site treatment after timber har-vesting. These fires result in spatial ...
The increasing availability of remote sensing data at no or low costs can be used as ancillary data ...
Forest ecosystems represent an important means of ecosystem services; they are key as carbon sinks, ...
This study shows a simplified approach for calculating emissions associated with forest fires in Mex...
Although forest fire behavior can be simulated through the use of many of the systems that currently...
Considering the hypothesis that the wood volumes present spatial dependence, whose knowle...
This work aimed to apply geostatistical analysis to verify the existence of spatial dependence in th...
Geostatistics is one of the tools applied to investigate the spatial variability of forests to reduc...
This work presents a new method for characterising forests with remote sensing data using numerical ...
AbstractWe evaluated the effectiveness of statistical operators Moran's I, Geary's C and Getis and O...