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Explore Search: Center Of Excellence For Geospatial Information Science

Filter Total Items: 135
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Center of Excellence for Geospatial Information Science research plan 2013-18

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Evaluation of classified ground points from National Agriculture Imagery program photogrammetrically derived point clouds

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Assessing the utility of uncrewed aerial system photogrammetrically derived point clouds for land cover classification in the Alaska North Slope

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Performance of map symbol and label design with format and display resolution options through scale for the national map

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Remote sensing-based 3D assessment of landslides: A review of the data, methods, and applications

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At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution

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A guide to creating an effective big data management framework

Presentations and Events
A Statewide Hydraulic Modeling Tool for Stream Crossing Projects in Massachusetts Thumbnail

A Statewide Hydraulic Modeling Tool for Stream Crossing Projects in Massachusetts

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Generalization quality metrics to support multiscale mapping: Hausdorff and average distance between polylines

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Historical maps inform landform cognition in machine learning

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Geomorphometric analysis of the Summit and Ridge classes of the Geographic Names Information System

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Transferring deep learning models for hydrographic feature extraction from IfSAR data in Alaska

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Comparing line feature morphology with scale specific sinuosity distributions: A modified earth mover’s distance

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GeoImageNet: A multi-source natural feature benchmark dataset for GeoAI and supervised machine learning

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Open knowledge network roadmap: Powering the next data revolution

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A geospatial knowledge graph prototype for national topographic mapping

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GeoAI and the future of spatial analytics

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Deep learning detection and recognition of spot elevations on historic topographic maps

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Weakly supervised spatial deep learning for Earth image segmentation based on imperfect polyline labels

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The evolution of geospatial reasoning, analytics, and modeling

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GeoAI in the US Geological Survey for topographic mapping

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Watersheds and drainage networks

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The 4th paradigm in multiscale data representation: Modernizing the National Geospatial Data Infrastructure

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Spatial data reduction through element -of-interest (EOI) extraction

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GIS object data properties

staff profile
Dalia Varanka

Dalia E Varanka, PhD

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Creating annotations for web ontology language ontology generated from relational databases

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Automated extraction of areal extents for GNIS Summit features using the eminence core method

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GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning

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Preserving meander bend geometry through scale

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