(Leaf Area Index) LAI $ Landsat ETM, SPOT, ERS, SIR-C, Scatterometer

Transcription

1 - CT PH (Leaf Area Index) Landsat ETM, SPOT, ERS, SIR-C, Scatterometer Spectrometer " WDVI " # WDVI Clevers and van Leeuwen 1996 (Leaf Area Index) $ CT PH Cloutis et al McNarin et al. 2002

2 $ # CR Nikon T -SunScan Canopy Analysis System Ceptometer Fish EyeCoolpix Leaf Area Index Chen and Cihlar 1996 Chen and Cihlar 1996 %"& Maass et al Specific Leaf Area60-70c Licor leaf area meter Maass et al Gower et al Jones et al. Welles and Cohen 1995

3 X I 0 Welles and Norman 1991 'Beer Lambert kx (1) I I 0 e I( I 0 Zhao et al. K( X( Beer PAR: Photosynthetically Active Radiation 'Lambert (2) lnqi / Q0/ k Q i ((PAR)Q 0 Spanner et al. 1994K( Beer Lambert Maass et al. %%'&&"%)'&& 1995 (34.35'/31.28') # (34 35'/31 20') # 400mm" # % 280mm # ' % %*&X%& ) + ##

4 '% $ $ # # " $,&& " T -SunScan Canopy Analysis &&+"&&) &&) Ceptometer System White et al.,&80cm" Prob $ (Spanner et al. 1994) nm'PAR " "%& $White et al. 2000Beer Lambert Nikon# )*&.Fish EyeCoolpix 950

5 7-8PM 5-6AM WinScanopy cm / (Scatterometer)' $ " && $FieldSpecFR ( nm) /ASDI spectrometer nm CR CR IR ( R ( m)0 NIR" R" Canopy 1NIR 1.5m) NIR"R" NIRR Clevers 1988 VI (Vegetation Index)NIR" #NIR"R van "Clevers"VF NDVI " (1996 Leeuwen " CR $ WDVI Clevers 1989 R" NIR" (Weighted Difference Vegetation Index ' (3) WDVI=NIR-C R R"NIRC

6 'WDVI (4) 1/ aln(1 WDVI / WDVI ) WDVI WDVI (a Landsat ETM Clevers and van Leeuwen 1996 Water Cloud Model 0 (=6cm)C Band " Radar Cross Section ( 0 SAR" SAR" 0 SAR Moran et al SAR" McNarin et al cm %-2, Ulaby" Attema (Clevers and van Leeuwen 1996) ' Bindlish and Barros ' 0 s ( 0 v (5) 0 0 v 2 % ) Moran et al. 2002

7 'db DW / cos mk DW / cos 1 e Ge 10 (6) log C m((kg m -2 )W D(.(3 K( (m 2 Kg -2 ) G( m 2 m -2 ) C(% -1 D,K,C,Gm 2 m -2 Bouman et al Graham and Harris 2002 " " NDVI Tucker 1979 R" IR Starks et al. NDVI"NIR" NDVI2001 $ CRWDVI R" NIR" WDVI (Weighted Difference Vegetation Index NIR/R WDVI # $ Svoray 2001 McNarin et al. 2002

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9 #"$WDVI' " " # Blumberg and Freilikher (2001) WDVI

10 CR # &&) ERS SAR # %-- # ' && Bindlish, R., and Barros, A., (2001). Parameterization of Vegetation Backscatter in Radar- Based Soil Moisture Estimation. Remote Sensing of Environment, 76, Blumberg, D. G., and Freilikher, V., (2001). Soil water-content and surface roughness retrieval using ERS-2 SAR data in the Negev Desert, Israel. Journal of Arid Environments, 49, Bouman, B. A. M., Van Kraalingen, D. W. G., Stol, W., and Van Leeuwen, H. J. C., (1999). An agroecological modeling approach to explain ERS SAR radar backscatter of agricultural crops. Rem. Sens. Env., 67, Chen, J. M., and Cihlar, J., (1996). Retrieving Leaf Area Index for Boreal Conifer Forests Using Landsat TM Images. Remote Sensing of Environment, 55, Clevers, J. G. P. W., (1988). The derivation of a simplified reflectance model for the estimation of Leaf Area Index. Rem. Sens. Env., 25, Clevers, J. G. P. W., (1989). The application of a weighted infrared - red vegetation index for estimating Leaf Area Index by correcting for soil moisture. Rem. Sens. Env., 29, Clevers, J. G. P. W., and Van Leeuwen, H. J. C., (1996). Combining use of optical and microwave remote sensing data for crop growth monitoring. Rem. Sens. Env., 56, Cloutis, E. A., Connery, D. R., and DoverF. J., (1999). Agricultural Crop Monitoring Using Airborne Multi-Spectral Imagery and C-Band Synthetic Aperture Radar. int. j. remote sensing,, 20, Gower, S. T., Kucharik, C. J., and Norman, J. M., (1999). Direct and indirect estimation of Leaf Area Index, f;apar and net primary production of terrestrial ecosystems. Rem. Sens. Env., 70, Graham, A. J., and Harris, R., (2002). Estimating Crop and Waveband Specific Water Cloud Model Parameters Using a Theoretical Backscatter Model. int. j. remote sensing,, 23, Jones, H. G., Archer, N., Rotenberg, E., and Casa, R., (). Radiation measurement for plant ecophysiology. Journal of Experimental Botany, 54,

11 Maass, J. M., Vose, J. M., Swank, W. T., and Martinez-Yrizar, A., (199Seasonal Changes of Leaf Area Index () in a Tropical Deciduous Forest in West Mexico. Forest Ecology and Management, 74, Mcnarin, H., Ellis, J., Van Der Sanden, J. J., Hirose, T., and Brown, R. J., (2002). Providing Crop Information UsingRADARSAT-1 and Satellite Optical Imagery. int. j. remote sensing,, 23, Moran, S. M., Hymer, D. C., Qi, J., and Kerr, Y., (2002). Comparison of ERS 2 and Landsat TM Imagery for Monitoring Agricultural Crop and Soil Conditions. Rem. Sens. Env., 79 - Spanner, M., Johnson, L., Miller, J., Mccreight, R., Freemantle, J., Runyon, J., and Gong, P., (1994). Remote Sensing of Seasonal Leaf Area Index Across the Oregon Transect. Ecological Applications, 4, Starks, P. J., Norman, J. M., BladB. L., Waltershea, E. A., and Walthall, C. L., (2001). Estimation of Shortwave Hemispherical Reflectance (Albedo) from Bidirectionally Reflected Radiance Data. Remote Sensing of Environment, 38, Svoray, T., Shoshany,., Curran, P. J., Foody, GM., Perevolotsky, A., (2001). Relationship Between Green Leaf Biomass Volumetric Density and ERS-2 SAR Backscatter of Four Vegetation Formations in the Semi Arid Zone of Israel. International Journal of Remote Sensing, 22, Tucker, C. J., (1979Red Photographic Infrared Linear Combinations for Monitoring Vegetation. Remote Sensing of Environment, 8, Welles, J. M., and Cohen, S., (1995). Canopy Structure Measurements by Gap Fraction Analysis using commercial instrumentation. Journal of Export Botanies, 302, Welles, J. M., and Norman, J. M., (1991). Instrument for Indirect Measurement of Canopy Architecture. Agronomy Journal, 83, White, M. A., Asner, G. P., Nemani, R. R., Privette, J. L., and Running, S. W., (2000 Measuring Fractional Cover and Leaf Area Index in Arid Ecosystems: Digital Camera, Radiation Transmittance, and Laser Altimetry Methods. Remote Sensing of Environment, 74, Zhao, W., Qualls, R. J., and Berliner, P. R., (). Modeling of the Short Wave Radiation Distribution in an Agroforestry System. Agricultural and Forest Meteorology, in press

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