TY - JOUR
T1 - Thematic mapper analysis of coniferous forest structure and composition
AU - Franklin, Janet
N1 - Funding Information:
This work was supported in part by a grant from the California Space Institute (CS28-83), D. Disraeli, Principal Investigator, and M. Barbour, Co-investigator, and was made possible by the generous help of many people including H. Bowlin and J. Levitan (U.S. Forest Service), Mike Welsh (Mendocino National Forest), J. Bass, J. Meyers, M. Spanner and R. Wrigley (NASA/Ames Research Center) who provided TMS data, F. Davis, S. Franklin, A. Goldschmidt and A. Parikh who assisted in the field, and F. Davis, A. Strahler and C. Woodcock who provided helpful discussion and comments on the manuscript. Special thanks to M. Barbour for encouragement and support.
PY - 1986/10
Y1 - 1986/10
N2 - Simple regressions of single band thematic mapper simulator (TMS) reflectance data against stand basal area and leaf biomass show that the spectral feature most strongly related to vegetation amount is visible reflectance (TM bands 1, 2 and 3), which decreases as conifer basal area increases. Principal components analysis of TMS spectral data for sample stands, and stepwise multiple regression of transformed axes, showed the first principal component, interpreted as scene brightness, to be the composite spectral feature most correlated to vegetation amount. TMS data showed some ability to discriminate spectrally between coniferous forest stands dominated by different species. Dense stands of large timber dominated by red fir (Abies magnifica var. shastemis) had a different average spectral reflectance from white fir (Abies concolor) dominated stands, particularly in TM bands 4 (0.76-0.90μm) and 6 (10.4-12.5 μm).
AB - Simple regressions of single band thematic mapper simulator (TMS) reflectance data against stand basal area and leaf biomass show that the spectral feature most strongly related to vegetation amount is visible reflectance (TM bands 1, 2 and 3), which decreases as conifer basal area increases. Principal components analysis of TMS spectral data for sample stands, and stepwise multiple regression of transformed axes, showed the first principal component, interpreted as scene brightness, to be the composite spectral feature most correlated to vegetation amount. TMS data showed some ability to discriminate spectrally between coniferous forest stands dominated by different species. Dense stands of large timber dominated by red fir (Abies magnifica var. shastemis) had a different average spectral reflectance from white fir (Abies concolor) dominated stands, particularly in TM bands 4 (0.76-0.90μm) and 6 (10.4-12.5 μm).
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U2 - 10.1080/01431168608948931
DO - 10.1080/01431168608948931
M3 - Article
AN - SCOPUS:0022923842
SN - 0143-1161
VL - 7
SP - 1287
EP - 1301
JO - International Journal of Remote Sensing
JF - International Journal of Remote Sensing
IS - 10
ER -