Variation and anisotropy of reflectance of forest trees in radiometrically calibrated airborne line sensor images - Implications to species classification

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue , 2010, Pages 342-347

  Korpela, I ^a   Rohrbach, F ^a  

^a UNIVERSITY OF HELSINKI   (Finland)

Author keywords

Calibration; Forestry; Lidar; Modelling; Multispectral; Pushbroom; Radiometry

Indexed keywords

ANISOTROPY; CALIBRATION; DISCRIMINANT ANALYSIS; FORESTRY; GEOMETRY; INFRARED DEVICES; MODELS; OPTICAL RADAR; RADIOMETRY; REFLECTION; REMOTE SENSING;

ATMOSPHERIC CORRECTIONS; CLASSIFICATION ACCURACY; COEFFICIENT OF VARIATION; ILLUMINATION GEOMETRY; MULTI-SPECTRAL; PUSHBROOM; QUADRATIC DISCRIMINANT ANALYSIS; SPECIES CLASSIFICATION;

IMAGE CLASSIFICATION;

CLASSIFICATION; FORESTRY; MODELS; SPECIES IDENTIFICATION; TREES;

EID: 79958026673     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Beisl, U., Telaar, J., Schönermark, M. V., 2008. Atmospheric correction, reflectance calibration and BRDF correction for ADS40 image data. IAPRS, Beijing, Vol. 37, part B7, pp. 7-12.
2. Deering, D.W., Eck, T.F., Banerjee, B., 1999. Characterization of the reflectance anisotropy of three boreal forest canopies in spring-summer. Rem Sens Env 67 (2), pp. 205-229.
3. Fraser, R. S., Ferrare, R. A., Kaufman, Y. J., Markham, B. L., Mattoo, S., 1992. Algorithm for atmospheric corrections of aircraft and satellite imagery. Int J Rem Sens 13 (3), pp. 541- 557.
4. Holmgren, J., Persson, Å., Söderman, U., 2008. Species identification of individual trees by combining high resolution LiDAR data with multi-spectral images. Int J Rem Sens 29 (5), pp. 1537-1552.
5. Heikkinen, V., Tokola, T., Parkkinen, J., Korpela, I., Jääskeläinen, T., 2010. Simulated Multispectral Imagery for Tree Species Classification Using Support Vector Machines. IEEE Transactions Geos Rem Sens 48 (3), pp. 1355-1364.
6. Korpela, I., 2004. Individual tree measurements by means of digital aerial photogrammetry. Silva Fennica Monographs 3, pp. 1-93.
7. Larsen M., 2007. Single tree species classification with a hypothetical multi-spectral satellite. Rem Sens Env 110 (4), pp. 523- 532.
8. Li, X., Strahler, A. H., 1986. Geometric-optical bi-directional reflectance modeling of a coniferous forest canopy. IEEE Transactions Geos Rem Sens 24, pp. 281-293.
9. Markelin, L., Honkavaara, E., Beisl, U., Korpela, I., 2010. Validation of the radiometric processing chain of the Leica airborne photogrammetric sensor. ISPRS Vienna 2010.
10. Martonchik, J.V., Bruegge, C.J., Strahler, A.H., 2000. A review of reflectance nomenclature used in remote sensing. Remote Sensing Review 19, pp. 9-20.