FOREST CANOPY CLOSURE FROM CLASSIFICATION AND SPECTRAL UNMIXING OF SCENE COMPONENTS - MULTISENSOR EVALUATION OF AN OPEN CANOPY

被引:55
作者
GONG, P
MILLER, JR
SPANNER, M
机构
[1] YORK UNIV,DEPT PHYS & ASTRON,N YORK M3J 1P3,ON,CANADA
[2] NASA,AMES RES CTR,JOHNSON CONTROLS WORLD SERV,MOFFETT FIELD,CA 94035
[3] YORK UNIV,INST SPACE & TERR SCI,EARTH OBSERVAT LAB,N YORK M3J 1P3,ON,CANADA
来源
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 1994年 / 32卷 / 05期
基金
加拿大自然科学与工程研究理事会;
关键词
D O I
10.1109/36.312895
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Three types of remote sensing data, color infrared aerial photography (CIR), compact airborne spectrographic imager (CASI) imagery, and airborne visible/infrared imaging spectrometer (AVIRIS) imagery, have been used to estimate forest canopy closure for an open-canopy forest environment. The high-spatial-resolution CIR and CASI images were classified to generate forest canopy closure estimates. These estimates were used to validate the forest canopy closure estimation accuracy obtained using the AVIRIS image. Reflectance spectra extracted from the spectral-mode CASI image were used to normalize the raw AVIRIS image to a reflectance image. Classification and spectral unmixing methods have been applied to the AVIRIS image. Results indicate that both the classification and the spectral unmixing methods can produce reasonably accurate estimates of forest canopy closure (within 3 percent agreement) when related statistics are extracted from the AVIRIS image and relatively pure reflectance spectra are extracted from the CASI image. However, it is more challenging to use the spectral unmixing technique to derive subpixel-scale components whose reflectance spectra cannot be directly extracted from the AVIRIS image.
引用
收藏
页码:1067 / 1080
页数:14
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