The relationships between spectral reflectance in the Landsat Thematic Mapper (TM) bands and grass canopy variables were evaluated using in situ remote sensing techniques. Reflectance data were collected from experimental plots of annual ryegrass (Lolium multiflorum) and tall fescue (Festuca arundinacea) using a Barnes Modular Multiband Radiometer (MMR). The canopy...
The MODIS NBAR (M0D43B4) data space is explored in terms of biophysical variables with the objective of formulating a MODIS transformation relevant to global vegetation studies. The basic ideas of transform formulation were borrowed from the development of the TM Tasseled Cap transformation, but with differences in sampling strategy and...
Quantifying the distribution, abundance, and diversity of nearshore organisms over large areas presents problems to scientists and resource managers constrained by time, personnel, and funding. For example, no method currently exists to statistically
extrapolate biological transect data from small to large spatial scales. Ecological
responses caused by interacting physical and...
The identification and mapping of surface cover types
within Crater Lake National Park, Oregon, has been effectively
completed through the utilization of LANDSAT digital
data and NASA U-2 color infrared aerial photography. Classification
of LANDSAT data for surface cover type identification
and mapping was accomplished through use of the
Interactive...
The Oregon Department of Fish and Wildlife's (ODFW) Ecological Analysis
Center (EAC) is in the process of creating, from Landsat Thematic Mapper (TM)
imagery, a vegetation map of Oregon that will meet the latest standards set by the
National Gap Analysis Program. Since field verification is often expensive and by...
Coarse resolution imagery, such as that produced by the MODIS instrument, poses the challenge of estimating sub-pixel proportions of di erent land cover types. This problem is di cult because of the variety and variability of vegetation within individual pixels. This thesis describes and compares two existing algorithms for estimating...
This thesis considered current approaches to describing landscape pattern,
identified scale issues associated with defining objects, and explored techniques to
reliably group elements based on land cover as represented by satellite imagery. It
was recognized that there is an important need to develop tools that can be applied
using remotely...
A per-segment classification system was developed to map aspen (Populus tremuloides) stands on Winter Ridge in central Oregon from remote sensing imagery. A 1-meter color infrared (CIR) image was segmented based on its hue and saturation values to generate aspen "candidates", which were then classified to show aspen coverage according...
Vegetation change is an important factor affecting the global carbon cycle, land-atmosphere interaction, and terrestrial ecology. The study of vegetation change on a global scale can be used to evaluate the impact of global climate change on terrestrial ecosystems. Satellite remote sensing can monitor vegetation change at the global scale,...
