Assessing the suitability of future multi- and hyperspectral satellite systems for mapping the spatial distribution of norway spruce timber volume

Remote Sensing

Volumn 7, Issue 9, 2015, Pages 12009-12040

  Nink, Sascha ^a   Hill, Joachim ^a   Buddenbaum, Henning ^a   Stoffels, Johannes ^a   Sachtleber, Thomas ^a   Langshausen, Joachim ^b  

^a UNIVERSITY OF TRIER   (Germany)

^b Landesuntersuchungsamt Rheinland Pfalz   (Germany)

Author keywords

EnMAP; Forest management; Hyperspectral imaging; k NN estimator; Norway spruce (Picea abies); PLS regression; Sentinel 2; Timber volume

Indexed keywords

DECISION MAKING; ESTIMATION; MEAN SQUARE ERROR; NEAREST NEIGHBOR SEARCH; OBJECT-ORIENTED DATABASES; PLANTS (BOTANY); SAMPLING; SPECTROSCOPY; TIMBER;

ENMAP; HYPERSPECTRAL IMAGING; NORWAY SPRUCE; PLS REGRESSION; SENTINEL-2; TIMBER VOLUME;

FORESTRY;

EID: 84942520993     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70912009     Document Type: Article

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