Forest mapping and monitoring surveys are often based on costly and time-consuming field work. Satellite remote sensing data can facilitate these procedures over large forest areas [1]. Therefore, the Forest Research Institute of Baden Württemberg and the Department of Remote Sensing and Landscape Information Systems of the University of Freiburg aim on developing methods to support and to impr...

Physiological factors have effects on most forest parameters such as forest classification so that understanding knowledge about this subject is important to manage forests. The forests of Sorkhake-sanjabi village with area of 1645 ha located in Eslam Abad city, Kermanshah province, Iran were selected. 23 sample plots with rectangular shape (40m*50m) were selected and the species, origin of spe...

We evaluated the distribution of abundance of three species of warblers in the southern portion of the Brazilian Atlantic Forest (BAF): Tropical Parula (Parula pitiayumi), the Golden-Crowned Warbler (Basileuterus culicivorus) and the White-Rimmed Warbler (Basileuterus leucoblepharus). Three types of forests comprise this region of the Atlantic Forest: seasonal semi-deciduous forest (SF), mixed ...

Deforestation rates in primary humid tropical forests of the Brazilian Legal Amazon (BLA) have declined significantly since the early 2000s. Brazil's national forest monitoring system provides extensive information for the BLA but lacks independent validation and systematic coverage outside of primary forests. We use a sample-based approach to consistently quantify 2000-2013 tree cover loss in ...

in order to capability investigation on landsat-7 satellite etm+ data in separability forest type and mapping in the zagros region, a small window digital data dating july 2001 from ghalajeh forests in the kermanshah province were analyzed. ground data were provided the cluster sampling method and with 0.36 ha. no radiometric error was found then the quality investigations. orthorectification w...

Accurate, current, and cost-effective fire fuel data are required by management and fire science communities for use in reducing wildland fire hazards over large areas. In this paper we present results of applying decision-tree techniques to mapping vegetation parameters (such as vegetation types and canopy structure classification) required for fire fuel characterization. Specifically, we pres...