Imaging spectroscopy in soil-water based site suitability assessment for artificial regeneration to Scots pine

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 66, Issue 3, 2011, Pages 287-297

  Middleton, Maarit ^a,b   Närhi, Paavo ^a,c   Sutinen, Raimo ^a  

^a GEOLOGICAL SURVEY OF FINLAND   (Finland)

^b QUEEN S UNIVERSITY   (Canada)

^c NONE   (Finland)

Author keywords

Artificial regeneration; Hyper spectral imaging spectroscopy; Neural network; Receiver operating characteristics curve; Soil water content; Understorey plant species

Indexed keywords

ARTIFICIAL REGENERATION; HYPER SPECTRAL IMAGING SPECTROSCOPY; RECEIVER OPERATING CHARACTERISTICS CURVE; SOIL WATER CONTENT; UNDERSTOREY;

AGRICULTURE; ALGORITHMS; ECOLOGY; INFRARED DEVICES; OPTIMIZATION; RATING; REFORESTATION; REVEGETATION; SOIL MOISTURE; SPECTROMETERS; SPECTROMETRY; THERMOGRAPHY (IMAGING); WATER CONTENT;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BARE SOIL; CONIFEROUS TREE; CORRELATION; DICOTYLEDON; HUMID ENVIRONMENT; IMAGING METHOD; NEAR INFRARED; OPTIMIZATION; PLANT COMMUNITY; REFORESTATION; REGENERATION; REMOTE SENSING; SITE SELECTION; SOIL WATER; SPATIAL PLANNING; SPECTROSCOPY; UNDERSTORY; WATER CONTENT;

BETULA; BETULA PUBESCENS; PICEA ABIES; PINUS SYLVESTRIS;

EID: 79951949064     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2010.10.009     Document Type: Article

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