Long-range regional projections of the changes in forest type areas are important in public and private forest resources planning. The combination of natural forces and human activities, which are shaped by socioeconomic forces such as population and income trends, has led to striking changes in forest cover types for the three major types of private owners. A model for the U.S. Southeast is pr...

The focus of this study is to assess the efficacy of using optical remote sensing (RS) in evaluating disparities in forest composition and aboveground biomass (AGB). The research was carried out in the East Sabah region, Malaysia, which constitutes a disturbance gradient ranging from pristine old growth forests to forests that have experienced varying levels of disturbances. Additionally, a sig...

Since warning of the global warming by carbon dioxide, the biomass distribution of forest has been concerned and its study has been requested. Much expectation has focused on the remote sensing corresponding to wide area. We noticed small area and estimated the spatial distribution of the forest volume using the actual GIS and remote sensing data. We comprehended the spatial distribution of the...

Severity of wildfires witnessed in different parts the world recent times has posed a significant challenge to fire control authorities. Even when early warning systems have been developed provide quickest warnings about possible wildfire location, severity, and danger, often it is difficult deploy resources quickly contain at short notice. Response time further delayed terrain complex. Early b...

Identifying factors that influence variation in light availability within forested ecosystems represents an important component in our understanding of the complex determinants of tree seedling regeneration. We assessed the influence of forest structure and canopy tree architecture on spatial heterogeneity of understory light availability in three old-growth and three second-growth forests in l...

LANDFIRE is a large interagency project that supports national fire management and fuels treatment activities. A primary data product of LANDFIRE is a detailed vegetation type classification. This study describes how independent data from Landsat imagery, topographic data, biophysical data layers, and dependent field-collected data can be used in a hierarchical mapping approach to improve veget...