Comparison of remote sensing change detection techniques for assessing hurricane damage to forests

Environmental Monitoring and Assessment

Volumn 162, Issue 1-4, 2010, Pages 311-326

  Wang, Fugui ^a   Xu, Y Jun ^a  

^a LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

Change detection techniques; Forest damage; Hurricane Katrina; Landsat TM; Remote sensing

Indexed keywords

AERIAL PHOTOS; CHANGE DETECTION; CHANGE DETECTION ALGORITHMS; CHANGE VECTOR ANALYSIS; COMPOSITE IMAGES; DETECTION ALGORITHM; FIELD INVESTIGATION; FOREST DAMAGE; FORESTLANDS; GROUND TRUTH; HURRICANE DAMAGE; HURRICANE KATRINA; KAPPA STATISTIC; KATRINA; LANDSAT THEMATIC MAPPER; LANDSAT TM; MAXIMUM SENSITIVITY; NEAR INFRARED; NORMALIZED DIFFERENCE VEGETATION INDEX; POST CLASSIFICATION; REMOTE SENSING TECHNIQUES; SUPERVISED CLASSIFICATION; TASSELED CAP; UNIVARIATE IMAGE DIFFERENCING; VEGETATION INDEX;

ALGORITHMS; HURRICANES; ORGANIC COATINGS; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SIGNAL DETECTION; VEGETATION;

DAMAGE DETECTION;

ACCURACY ASSESSMENT; ALGORITHM; COMPARATIVE STUDY; DETECTION METHOD; ENVIRONMENTAL ASSESSMENT; FOREST; HURRICANE KATRINA 2005; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LANDSAT THEMATIC MAPPER; NDVI; PERFORMANCE ASSESSMENT; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; STORM DAMAGE; VECTOR;

ACCURACY; ALGORITHM; ANALYTICAL ERROR; ARTICLE; CONTROLLED STUDY; FOREST DYNAMICS; HURRICANE; INTERMETHOD COMPARISON; LANDSCAPE; PRINCIPAL COMPONENT ANALYSIS; TELECOMMUNICATION; VEGETATION DYNAMICS;

CYCLONIC STORMS; GEOGRAPHIC INFORMATION SYSTEMS; LOUISIANA; TREES;

EID: 76449104407     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-009-0798-8     Document Type: Article

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