Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/35678
Title: Local spatial dispersion for multiscale modeling of geospatial data : exploring dispersion measures to determine optimal raster data sample sizes
Authors: Blundell, S. Bruce
Wayant, Nicole M.
Keywords: Remote sensing
Geographic data
Geospatial data
Remote sensing images
Image processing
Optimization
Geographic information systems
Multiscale modeling
Algorithms
Publisher: Geospatial Research Laboratory (U.S.)
Engineer Research and Development Center (U.S.)
Series/Report no.: Technical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/GRL TR-20-5
Abstract: Scale, or spatial resolution, plays a key role in interpreting the spatial structure of remote sensing imagery or other geospatially dependent data. These data are provided at various spatial scales. Determination of an optimal sample or pixel size can benefit geospatial models and environmental algorithms for information extraction that require multiple datasets at different resolutions. To address this, an analysis was conducted of multiple scale factors of spatial resolution to determine an optimal sample size for a geospatial dataset. Under the NET-CMO project at ERDC-GRL, a new approach was developed and implemented for determining optimal pixel sizes for images with disparate and heterogeneous spatial structure. The application of local spatial dispersion was investigated as a three-dimensional function to be optimized in a resampled image space. Images were resampled to progressively coarser spatial resolutions and stacked to create an image space within which pixel-level maxima of dispersion was mapped. A weighted mean of dispersion and sample sizes associated with the set of local maxima was calculated to determine a single optimal sample size for an image or dataset. This size best represents the spatial structure present in the data and is optimal for further geospatial modeling.
Description: Technical Report
Gov't Doc #: ERDC/GRL TR-20-5
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/35678
http://dx.doi.org/10.21079/11681/35678
Appears in Collections:Technical Report

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