Hyperspectral analysis of mangrove foliar chemistry using PLSR and support vector regression

Hyperspectral remote sensing enables the large-scale mapping of canopy biochemical properties. This study explored the possibility of retrieving the concentration of nitrogen, phosphorus, potassium, calcium, magnesium, and sodium from mangroves in the Berau Delta, Indonesia. The objectives of the st...

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Vydáno v:	International journal of remote sensing Ročník 34; číslo 5; s. 1724 - 1743
Hlavní autoři:	Axelsson, Christoffer, Skidmore, Andrew K, Schlerf, Martin, Fauzi, Anas, Verhoef, Wouter
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Abingdon Taylor & Francis 01.01.2013
Témata:	absorption features Animal, plant and microbial ecology Applied geophysics band-depth analysis Biological and medical sciences calcium canopy canopy nitrogen continuum removal deciduous forests Earth sciences Earth, ocean, space ecosystems Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques hyperspectral imagery Indonesia infrared reflectance spectroscopy Internal geophysics landscapes leaf-area index least squares magnesium nitrogen nitrogen concentration nitrogen content pasture quality phosphorus potassium reflectance remote sensing remote-sensing data sodium Teledetection and vegetation maps wavelengths Far East Asia Indonesia models calcium potassium Biochemical property nitrogen magnesium accuracy vegetation concentration Plant leaf cartography Support vector machine Hyperspectral imaging sensor PLS regression sodium Mangrove biochemistry Hyperspectral characteristic deltas performances Canopy(vegetation) phosphorus
ISSN:	1366-5901, 0143-1161, 1366-5901
On-line přístup:	Získat plný text
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