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The ability of remote sensing to represent ecologically relevant features at multiple spatial scales makes it a powerful tool for studying wildlife distributions. Species of varying sizes perceive and...
The tornado outbreak of April 2011 in the Southeastern United States caused major damage to property and natural ecosystems. During the outbreak, the Great Smoky Mountains National Park (GRSM) was hit...
This paper examines the relations between vegetation spectra measured in the field along the nutrient and elevation gradient in the most valuable parts of The Krkonoše Mountains tundra and select...
The effect of fire on natural resources is termed “fire severity” and is related to the energy output of the fire. Recently the term “burn severity” has been introduced to identify the impacts of fire...
Multitemporal aerial photography (1964-2004), Digital Elevation Models (DEM), orthophotomaps, thematic vector layers and satellite images have been integrated for the changes detection of unique envir...
The aim of this contribution is to present the research activities which will be carried out in the frame of the Project "Institutional Consolidation for the Coordinated and Integrated Monitoring of N...
In 1999 right after Al Gore brought the idea of the Digital Earth, aiming to promote the Digital Earth concept Chinese Culture University (CCU) in Taiwan established the Digital Earth Research Center ...
There are nine distinguished national parks in Taiwan. Each one has its own wild variety of natural inhabitants and cultural resources. However, due to the geographical inaccessibility, partially clo...
Digital Elevation Models (DEM) represent fundamental data for a wide range of Earth surface process studies. Over the past years the German TanDEM-X mission acquired data for a new, truly global Dig...
In an innovative collaboration between government, university and private industry, researchers at the University of Georgia and Gainesville State College are collaborating with Photo Science, Inc. ...
This paper describes remote sensing methodologies for monitoring rare vegetation with special emphasis on the Image Statistic Analysis for set of training samples and classification. At first 5 types ...

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