1998
DOI: 10.14214/sf.692
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Use of satellite and field information in a forest damage survey of eastern Finnish Lapland in 1993

Abstract: Mattila, E. 1998. Use of satellite and field information in a forest damage survey of Eastern Finnish Lapland in 1993. Silva Fennica 32(2): 141-162.The study area consists of the Finnish part of a Landsat 5 TM image from 1990. Three independent field samples were measured during 1991-93 in the study area. The first sample was used to compile training areas for supervised maximum likelihood classification of the image. Classification accuracy was studied in the second sample. The spectral separability of the fo… Show more

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Cited by 3 publications
(1 citation statement)
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“…In conventional forestry operations, remote sensing is most commonly used to assist with forest resource assessment and inventory. Other typical forestry related applications of remote sensing include forest disturbance detection and assessment (Williams and Nelson 1986, Mattila 1998, Ranson et al 2003, Gimeno et al 2004) and mapping forest defoliation caused by insect outbreaks (Falkenström and Ekstrand 2002, Fraser and Latifovic 2005, Thomas et al 2007, Coops et al 2009b. The detection of disturbances via remote sensing is typically characterized by measuring changes in vegetation surface reflectance that are caused by the disturbance of interest.…”
Section: Remote Sensing In Insect Damage Recognitionmentioning
confidence: 99%
“…In conventional forestry operations, remote sensing is most commonly used to assist with forest resource assessment and inventory. Other typical forestry related applications of remote sensing include forest disturbance detection and assessment (Williams and Nelson 1986, Mattila 1998, Ranson et al 2003, Gimeno et al 2004) and mapping forest defoliation caused by insect outbreaks (Falkenström and Ekstrand 2002, Fraser and Latifovic 2005, Thomas et al 2007, Coops et al 2009b. The detection of disturbances via remote sensing is typically characterized by measuring changes in vegetation surface reflectance that are caused by the disturbance of interest.…”
Section: Remote Sensing In Insect Damage Recognitionmentioning
confidence: 99%