نتایج جستجو برای: forest types classification
تعداد نتایج: 1032725 فیلتر نتایج به سال:
the hyrcanian forests have been highly exploited in recent decades by human impacts. easy access, abundance and variety of valuable forest yields have led to population growth density, creation of new residential areas and deforestation activities. change detection is one of the main methods of management and evaluation of natural resources. we investigated forest changes in southern surroundin...
Classical methods for classification of pixels in multispectral images include supervised classifiers such as the maximum-likelihood classifier, neural network classifiers, fuzzy neural networks, support vector machines, and decision trees. Recently, there has been an increase of interest in ensemble learning – a method that generates many classifiers and aggregates their results. Breiman propo...
Background and objectives: Satellite images and remote sensing technology are recognized as efficient and modern tools for extracting information related to earth sciences, which make it possible to evaluate and monitor ecosystems at a lower cost than field methods. One of the most important methods of extracting information from satellite data is various image classification techniques. The pr...
Since hyperspectral imagery (HSI) (or remotely sensed data) provides more information (or additional bands) than traditional gray level and color images, it can be used to improve the performance of image classification applications. A hyperspectral image presents spectral features (also called spectral signature) of regions in the image as well as spatial features. Feature reduction, selection...
A forest type dominated by Peltogyne gracilipes Ducke (Caesalpiniaceae) occurs on Maraca Island on a range of soil types. Maraca is located in Roraima State (Brazil) in the Rio Uraricoera and has an area of about 100,000 ha. This study compares the structure and floristic composition of the Peltogyne forest with the most widespread lowland forest type on Maraca and investigates some factors tha...
To implement correct management of forest ecosystems, enough information in relation to the structures of tree species is necessary. In this study, the structures of trees species in Fagus, Fagus-Carpinus, Carpinus-Fagus and Carpinus-Quercus types were investigated and compared in Hyrcanian forest. The data used in this study was collected from 239 plots with an area of 1000 m2 in Gorazbon dist...
Classifying land cover is perhaps the most common application of remote sensing, yet classification at frequent temporal intervals remains a challenging task due to radiometric differences among scenes, time and budget constraints, and semantic differences among class definitions from different dates. The automatic adaptive signature generalization (AASG) algorithm overcomes many of these limit...
MODIS data is of significant for the classification of regional forest cover due to its high temporal resolution and high spectral resolution. Forest cover is an important parameter for forest ecosystem. The objective of this preliminary study is to mapping forest cover from mutli-temporal MODIS data with decision tree. The classification forest samples were selected from four global land cover...
the zagros forests (west of iran) have been highly exploited in recent decades by human impacts. easy access, abundance and variety of valuable forest yields have led to population growth density, creation of new residential areas and deforestation activities. in order to determinate the distribution and rate of deforestation from 1995 to 2006 by using the satellite imagery (irs-1c and landsat...
In order to develop forest management strategies in tropical forest in Malaysia, surveying the forest resources and monitoring the forest area affected by logging activities is essential. There are tremendous effort has been done in classification of land cover related to forest resource management in this country as it is a priority in all aspects of forest mapping using remote sensing and rel...
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