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This spreadsheet features the center points of 388 aerial photography frames taken of the Natchez Trace Parkway. The color infrared photography was flown in late September and early October of 2004 during leaf-on conditions as required by National Park Service (NPS) personnel to accomplish their ground-based landcover classification.
This dataset represents the center points of 379 aerial photography frames taken of the Natchez Trace Parkway. The color infrared photography was flown in late September and early October of 2004 during leaf-on conditions as required by National Park Service (NPS) personnel to accomplish their ground-based landcover classification.
This dataset represents aerial photography of the Natchez Trace Parkway that was taken in late September and early October of 2004. Images were acquired during leaf-on conditions as required by the National Park Service (NPS) to accomplish their ground-based vegetation classification. Nearly 400 aerial photography frames were scanned and orthorectified to generate digital orthophoto quarter quads (DOQQs). These were cut to match existing DOQQs creating a total of 235 DOQQs for the entire 715 km long Parkway. For ease of use, the DOQQs were grouped into 11 mosaics, each covering a section of the Parkway. At the request of the NPS, each mosaic was divided into ten tiles to allow for efficient loading on less robust...
A new set of methods are developed to perform cluster analy-sis of functions, motivated by a data set consisting of hydraulic gradients at several locations distributed across a wetland complex. The methods build on previous work on clustering of functions, such as Tarpey and Ki-nateder (2003) and Hitchcock et al. (2007), but explore functions generated from an additive model decomposition (Wood, 2006) of the original time se-ries. Our decomposition targets two aspects of the series, using an adaptive smoother for the trend and circular spline for the diurnal variation in the series. Different measures for comparing locations are discussed, including a method for efficiently clustering time series that are of different...
Categories: Publication;
Types: Citation;
Tags: adaptive smoother,
additive model decomposition,
cir
An orthoimage is remotely sensed image data in which displacement of features in the image caused by terrain relief and sensor orientation has been mathematically removed. Orthoimagery combines the image characteristics of a photograph with the geometric qualities of a map.
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