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Developing Landscape-Scaled Habitat Selection Functions For Forest Wildlife From Landsat Data: Judging Black Bear Habitat Quality In Louisiana, Robert Owen Wagner
Developing Landscape-Scaled Habitat Selection Functions For Forest Wildlife From Landsat Data: Judging Black Bear Habitat Quality In Louisiana, Robert Owen Wagner
LSU Doctoral Dissertations
Understanding habitat needs of animal populations is critical for their effective management. In recent years, technological advances have increased the range of methods available to examine habitat selection patterns. However, available habitat data are often either limited to small geographic areas or are of coarse resolution, resulting in a gap in data to model habitat selection at landscape scales. I explored a method of processing Landsat data, the at-satellite reflectance tasseled cap, to address this data gap using black bears in south central Louisiana as a case study. As I showed, this case was particularly instructive because these bears occupy …
Fractal Compression And Analysis On Remotely Sensed Imagery, Ke Xiao
Fractal Compression And Analysis On Remotely Sensed Imagery, Ke Xiao
LSU Doctoral Dissertations
Remote sensing images contain huge amount of geographical information and reflect the complexity of geographical features and spatial structures. As the means of observing and describing geographical phenomena, the rapid development of remote sensing has provided an enormous amount of geographical information. The massive information is very useful in a variety of applications but the sheer bulk of this information has increased beyond what can be analyzed and used efficiently and effectively. This uneven increase in the technologies of gathering and analyzing information has created difficulties in its storage, transfer, and processing. Fractal geometry provides a means of describing and …