Existing works show that the rotation forest algorithm has competitive performance in terms of classification accuracy for gene expression data. However, most existing works only focus on the classification accuracy and neglect the classification costs. In this study, we propose a cost-sensitive rotation forest algorithm for gene expression data classification. Three classification costs, namel...

Mapping and monitoring forest extent is a common requirement of regional forest inventories and public land natural resource management, including in Australia. The state of Victoria, Australia, has approximately 7.2 million hectares of mostly forested public land, comprising ecosystems that present a diverse range of forest structures, composition and condition. In this paper, we evaluate the ...

The relationship between satellite-derived low cloud frequency and the occurrence of tropical montane cloud forest (TMCF) in Taiwan was investigated. From daily MODIS cloud mask products between 2003 and 2012 the low cloud class was extracted and mean low cloud frequency was calculated for Taiwan. This low cloud frequency map was blended with an existing plot-based vegetation classification for...

In order to understand causes and effects of disturbance and fragmentation on flora and fauna, a time series on land cover change is needed as basis for the BIOTA-East Africa project partners working in western Kenya. For 7 time steps over the past 30 years Landsat data were collected for Kakamega Forest and its associated forest areas. Preprocessing involved georeferencing and radiometric corr...

The Northern Region of the Forest Service, US. Department ofAgricdture, has developed an efficient and consistent method fbr assessing cumulative effects of management practices on the soil and vegetation maurces it manages. Ecological classification and analysis constitute the basis ofthis method Sirtoe many of the management activitks in the Regton alter the present oegetatian of a site (and ...

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...

In order to comprehend detailed forest resources, the use of high spatial resolution data is expected. However, the efficeint forest cover type classification method of high spatial resolution data is not cleared yet. So, this study discussed the potential of the forest cover type classification such as classification of coniferous forest, broadleaved forest, and mixed forest, and tree speices ...