No abstract available
Journal
Journal of Korean Forestry Society; ISSN 0445-4650; 
; (no.61); p. 1-7
; (no.61); p. 1-7
No abstract available
Journal
Journal of Korean Forestry Society; ISSN 0445-4650; ; (no.65); p. 68-73
; (no.65); p. 68-73
[en] Accurate and cost-effective classification of forest vegetation is the primary goal for forest management and utilization of forest resources. Aerial photograph and remote sensing are the most frequent and effective method in forest resources inventories. TM and MSS are the principal observing instruments on the Landsat-4 and -5 earth observing satellite. Especially TM has considerably greater spacial, spectral, and radiometric resolution power than MSS, that is, the IFOV of TM at a nadir is 30m compared to 80m for MSS. In this study, we used TM data to classify forest types and compared the result with forest type map manufactured by interpretation of B/W infrared photographs. As a result, land use types were well defined with TM data. But classifying forest types was a little difficult and indistinct. However, the spectral signatures of forest in every season and growing stages remained as problems to be solved, and also the most effective selection and combination method of bands for differentiating the spectral plots among classes
Journal
Journal of Korean Forestry Society; ISSN 0445-4650; ; v. 78(3); p. 263-273
; v. 78(3); p. 263-273
No abstract available
Journal
Journal of Korean Forestry Society; ISSN 0445-4650; ; v. 86(4); p. 502-508
; v. 86(4); p. 502-508
No abstract available
Journal
Journal of Korean Forestry Society; ISSN 0445-4650; ; v. 87(4); p. 601-610
; v. 87(4); p. 601-610