Raster Dataset
Tags
Light
Detection and Ranging, high-resolution, Blue River, Lane County, Oregon, intensity image,
Pacific Northwest, Normalized Intensity, Linn County, LiDAR
Provide intensity images.
This dataset represents the Blue River Watershed survey area in Linn and Lane County, OR. Each intensity image depicts, at a 0.5 meter resolution, normalized intensity values of the LiDAR laser returns. Watershed Sciences, Inc. collected the LiDAR and created this data set for the USDA Forest Service and the US Environmental Protection Agency.
Variability in the magnitude of intensity values across similar targets is a function of receiver auto gain control, laser power setting, atmospherics (transmissivity and target range), and angle of incidence. (Gain is a laser system setting that amplifies or dampens a return signal, resulting in artificially high or low intensity values.) These components influence intensity at different rates and magnitudes, with auto gain comprising the majority of influence. Variability in each of these components is minimized mathematically to arrive at a normalized intensity value that approaches a true radiometric value for each discrete LiDAR return. WSI employs proprietary software to normalize intensity values, based on assessment of the components discussed above, to a reference gain value for each laser employed in a LiDAR survey.
There are no credits for this item.
There are no access and use limitations for this item.
Extent
West | -122.334155 | East | -122.129467 |
North | 44.340085 | South | 44.202966 |
Maximum (zoomed in) | 1:5,000 |
Minimum (zoomed out) | 1:150,000,000 |
This dataset is projected in UTM Zone 10N, meters
ground condition
table
value attribute table
Internal feature number.
ESRI
value: Laser return intensity is a unitless measure of discrete return voltage, stored as an integer value from 0 to 255 (8-bit). Intensity values correspond to the reflectivity and composition of the target. Variability in intensity manifests visually as differences (e.g. streaking, shading) within and between swaths in point-derived imagery shaded by intensity values (Figure 1). This variability represents a source of noise with respect to the radiometric accuracy of a laser return.
Watershed Sciences
count
esri