Quantifying mangrove chlorophyll from high spatial resolution imagery

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 108, Issue , 2015, Pages 234-244

  Heenkenda, Muditha K ^a   Joyce, Karen E ^b   Maier, Stefan W ^a   de Bruin, Sytze ^c  

^a CHARLES DARWIN UNIVERSITY   (Australia)

^b JAMES COOK UNIVERSITY   (Australia)

^c WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

Chlorophyll; Mangrove; Random forests; Remote sensing; Satellite imagery; WorldView 2

Indexed keywords

DECISION TREES; IMAGE RESOLUTION; MATHEMATICAL TRANSFORMATIONS; MEAN SQUARE ERROR; PLANTS (BOTANY); REMOTE SENSING; SATELLITE IMAGERY; SPATIAL DISTRIBUTION;

CHLOROPHYLL CONCENTRATION; CORRELATION COEFFICIENT; HIGH SPATIAL RESOLUTION IMAGERY; MANGROVE; RANDOM FORESTS; ROOT MEAN SQUARED ERRORS; SPECTRAL TRANSFORMATIONS; WORLDVIEW-2;

CHLOROPHYLL;

ALGORITHM; CHLOROPHYLL; CONCENTRATION (COMPOSITION); DIGITAL IMAGE; ERROR ANALYSIS; FIELD SURVEY; FOREST COVER; LEAF AREA INDEX; LIGHT USE EFFICIENCY; MANGROVE; PHOTOGRAPHY; PRIMARY PRODUCTION; QUANTITATIVE ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION; SPECTRAL RESOLUTION; WORLDVIEW;

AUSTRALIA; DARWIN; NORTHERN TERRITORY; RAPID CREEK; SOUTH DAKOTA; UNITED STATES;

EID: 84941100549     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2015.08.003     Document Type: Article

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