Derivation and evaluation of coarse resolution LAI estimates over Canada

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 4, Issue , 2002, Pages 2097-2099

  Fernandes, Richard ^a   Leblanc, Sylvain ^a   Butson, Chris ^a   Latifovic, Rasim ^a   Pavlic, Goran ^a  

^a CANADA CENTRE FOR REMOTE SENSING   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION; GREENHOUSE EFFECT; IMAGE SENSORS; INFRARED DEVICES; MATHEMATICAL MODELS; OPTIMIZATION; UNCERTAIN SYSTEMS; VEGETATION;

GREENHOUSE GASES; INFRARED REFLECTANCE; LEAF AREA INDEX;

REMOTE SENSING;

EID: 0036403179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. FAO, 2002, (http://www.fao.org/gtos/tems/variables/Leaf_area_index.pdf)
2. J.M. Chen, G. Pavlic, L. Brown, J. Cihlar, S.G. Leblanc, H.P. White, R.J. Hall, D. Peddle, D.J. King, J.A. Trofymow, E. Swift, J. Van der Sanden, P. Pellikka. Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high resolution satellite imagery and ground measurements. Remote Sens. Environ. 2002. 80: pp. 165-184.
3. J.M. Chen. Retrieving Leaf Area Index in Boreal Forests Using Landsat TM Images; Remote Sens. Environ. 2002. 55: pp. 153-162.
4. R., Fernandes, H.P. White, S. Leblanc, G. Pavlic, H. McNairn, J.M. Chen, R.J. Hall. Examination of Error Propagation in Relationships between Leaf Area Index and Spectral Vegetation Indices from Landsat TM and ETM, Proceedings of the 23rd Canadian Remote Sensing Symposium, Quebec City, Quebec, August, 2001, pp. 41-51
5. J. Chilar, R. Latifovic, J. Beaubien, B. Guindon, B., and M. Palmer, A TM-based accuracy assessment of land cover product for Canada derived from SPOT4/VGT data, Can. J. Rem. Sens. submitted 2002.
6. C. Butson, R. Fernandes and R. Latifovic, A robust method for estimating LAI from Landsat Imagery. This issue.
7. R. Fernandez, S.G. Leblanc. Appropriate linear regression techniques for the calibration of remote sensing models: Why classical linear regression should not be used. Rem. Sens. Reviews, submitted 2002.
8. R.B. Myneni et al., 2002. Global products of vegetation leaf area and fraction absorbed PAR from year on of MODIS data. Remote Sens. Environ., accepted Jan. 2002.