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Displaying 386 - 390 of 662Human–Elephant Conflict Around Bénoué National Park, Cameroon: Influence on Local Attitudes and Implications for Conservation
Crop raiding by African elephants threatens human livelihoods and elephants, yet studies of long-term changes in crop raiding and effects on attitudes are lacking. The scope of perceived crop damage in three communities and local attitudes toward elephants and protected areas were surveyed in the Bénoué Wildlife Conservation Area, Cameroon in 2010. Temporal changes in attitudes and perceived crop damage were estimated using previous work. The percent of households reporting elephant crop raiding increased since 1997 (58% vs. 40%).
Median change vector analysis algorithm for land-use land-cover change detection from remote-sensing data
Improved change vector analysis (ICVA) has recently been promoted as an effective algorithm for multi-class change detection. Unlike the conventional change vector analysis (CVA) that works on two-dimensional data, the ICVA works on multidimensional data. However, ICVA has limitations when the change vector is fraught with similar direction cosine values. In this article, a new algorithm, named median change vector analysis (MCVA) has been proposed for multi-class change detection.
Urban land-use, land-cover classification through watershed segmentation in the V–I–S feature space
This article introduces an innovative approach using marker-controlled watershed segmentation (WS) in the Vegetation–Impervious Surface–Soil (V–I–S) feature space for urban land-use and land-cover (LULC) classification. The complement (e.g., the inverse) of the V–I–S feature space image shows depressions, which can be treated as topographic watersheds and they correspond to LULC classes. WS partitions the complement of V–I–S feature space image into LULC regions based on user-specified initial markers.
Supply of Private Acreage for Recreational Deer Hunting in Georgia
Understanding factors that influence the supply of private acreage for lease hunting has become increasingly important to sustaining hunting. Improving on existing studies that mostly utilized landowners' responses from contingent surveys, we adopted a different approach to this question by analyzing 2009 market data from Georgia counties.
Antarctic land-cover classification using IKONOS and Hyperion data at Terra Nova Bay
Low or medium spatial resolution satellite images are used for environmental monitoring in remote, extremely cold areas such as Antarctica. However, they cannot provide detailed spatial and spectral information over Antarctic areas. For obtaining this information, we propose an Antarctic land-cover classification method using IKONOS and Hyperion data over Terra Nova Bay, Antarctica. High spatial resolution IKONOS imagery enabled the detection of detailed, accurate boundaries between areas of snow, ice, vegetation, water and rock.