On-the-fly massively multitemporal change detection using statistical quality control charts and landsat data

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 6, 2014, Pages 3316-3332

  Brooks, Evan B ^a   Wynne, Randolph H ^a   Thomas, Valerie A ^a   Blinn, Christine E ^a   Coulston, John W ^b  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

^b USDA FOREST SERVICE   (United States)

Author keywords

Degradation; statistical process control; thinning; Trajectory

Indexed keywords

AERIAL PHOTOGRAPHY; DEFORESTATION; DEGRADATION; FLOWCHARTING; LAND USE; QUALITY CONTROL; STATISTICAL METHODS; STATISTICAL PROCESS CONTROL; TRAJECTORIES;

CONTINUOUS COVERAGE; DATA-DRIVEN CONTROL; EXPONENTIALLY WEIGHTED MOVING AVERAGE CHART; HARMONIC REGRESSION; OVERALL ACCURACIES; STATISTICAL QUALITY CONTROL; THINNING; X-BAR CONTROL CHARTS;

SIGNAL DETECTION;

ACCURACY ASSESSMENT; AERIAL PHOTOGRAPH; AFFORESTATION; ALGORITHM; CLIMATE CONDITIONS; CONIFEROUS FOREST; ENVIRONMENTAL DEGRADATION; ENVIRONMENTAL DISTURBANCE; LANDSAT; PIXEL; REFORESTATION; REGRESSION ANALYSIS; SATELLITE DATA; SPECTRAL ANALYSIS; STATISTICAL ANALYSIS; THINNING; VEGETATION COVER; VEGETATION MAPPING;

AIR CRAFT; DEFORESTATION; FLOW CHARTS; PHOTOGRAPHY; PROCESS CONTROL; QUALITY CONTROL; STATISTICAL ANALYSIS; THINNING;

ALABAMA; UNITED STATES;

PINUS TAEDA;

EID: 84896391610     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2272545     Document Type: Article

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