The present paper analyzes the influence of the forest canopy on the accuracy of the measurements performed by global positioning systems (GPS) receivers. The accuracy of a large set of observations is analyzed in the present research. These observations were takenwith a GPS receiver at intervals of one second during a total time of an hour in twelve different points placed in forest areas char...

The k-Nearest Neighbor (kNN) method of forest attribute estimation and mapping has become an integral part of national forest inventory methods in Finland in the last decade. This success of kNN method in facilitating multi-source inventory has encouraged trials of the method in the Great Lakes Region of the United States. Here we present results from applying the method to Landsat TM and ETM+ ...

Quantification of forest structure is important for developing a better understanding of how forest ecosystems function. Additionally, estimation of forest structural attributes, such as aboveground biomass (AGBM), is an important step in identifying the amount of carbon in terrestrial vegetation pools and is central to global carbon cycle studies. Although current remote sensing techniques rec...

P2P networks suffer from the free-riding problem, wherein users connect to the network only to use the resources, but do not donate any resources themselves. A popular approach to overcome this problem is to reward peers who share their resources, through payments. This has given a fresh lease of life to micropayments schemes, which are now being used in such networks. P2P Micropayment schemes ...

An automated method was developed for mapping forest cover change using satellite remote sensing data sets. This multi-temporal classification method consists of a training data automation (TDA) procedure and uses the advanced support vector machines (SVM) algorithm. The TDA procedure automatically generates training data using input satellite images and existing land cover products. The derive...

A critical handicap to tropical biodiversity conservation efforts in agroecosystems is the unknowns regarding the influence of landscape-scale factors on the persistence of species. To address these uncertainties, we explored two essential landscape-scale questions, within India’s biologically-rich Western Ghats, examining two nearby human-dominated landscapes that dramatically differed in thei...

The acquisition of information about growing stock is a fundamental step in the framework of forest management planning and scenario modeling, besides being essential for assessing the amount of carbon stored within forest ecosystems. Gallaun et al. (2010) produced a pan-European map of forest growing stock by the combination of ground and remotely sensed data. The first objective of the curren...

Species diversity of enchytraeid communities was determined in soils of the Niepołomice Forest (southern Poland) in relation to habitat characteristics (forest type, soil chemistry: pH, organic matter content, moisture, mineral elements Ca, K, Na, N–NH4, N–NO3, Ntotal) and xenobiotics (Zn, Pb, Cu, Cd) and humus respiration rate. Altogether 30 enchytraeid species were identified, forming assembl...

A survey of the density and population size of Bornean orang-utan (Pongo pygmaeus) was carried out in 1995 and 1996 in an area of peat swamp forest in the Sungai (River) Sebangau catchment, Central Kalimantan, Indonesia. Densities were calculated for four forest sub-types by counts of orang-utan sleeping platforms (nests) along line transects. Densities were found to be highest in the tall inte...

Previous model classification efforts have led to a broad group of models from site-scale (non-spatial) gap models to continental-scale biogeographical models due to a lack of definition of landscape models. Such classifications become inefficient to compare approaches and techniques that are specifically associated with forest landscape modeling. This paper provides definitions of key terminol...