438
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Asrar, G., Myneni, R. B., and Choudhury, B. J. (1992). Spatial heterogeneity in vegetation
canopies and remote sensing of absorbed photo synthetically active radiation: A modeling study. Remote Sensing of Environment, 41, 85–103.
Baret, F. and Guyot, G. (1991). Potentials and limits of vegetation indices for LAI and APAR
assessment. Remote Sensing of Environment, 35, 161–173.
Becker, F. and Choudhury, B. J. (1988). Relative sensitivity of normalized difference vegetation index (NDVI) and microwave polarization difference index (MPDI) for vegetation
and desertification monitoring. Remote Sensing of Environment, 24, 297–311.
Broge, N. H. and Leblanc, E. (2000). Comparing prediction power and stability of broadband
and hyperspectral vegetation indices for estimation of green leaf area index and canopy
chlorophyll density. Remote Sensing of Environment, 76, 156–172.
Ceccato, P., Flasse, S., Tarantola, S., Jacquemoud, S., and Grégoire, J.-M. (2001). Detecting
vegetation leaf water content using reflectance in the optical domain. Remote Sensing of
Environment, 77, 22–23.
Chen, J. and Cihlar, J. (1996). Retrieving leaf area index of boreal conifer forests using Landsat
TM images. Remote Sensing of Environment, 55, 153–162.
Chen, K. S., Wu, T. D., Tsang, L., Li, Q., Shi, J., and Fung, A. K. (2003). The emission
of rough surfaces calculated by the integral equation method with a comparison to a
three-dimensional moment method simulations. IEEE Transactions on Geoscience and
Remote Sensing, 41, 90–101.
Choudhury, B. J. (1987). Relationship between vegetation indices, radiation absorption, and
net photosynthesis evaluated by a sensitivity analysis. Remote Sensing of Environment,
22, 209–233.
Choudhury, B. J. and Tucker, C. J. (1987). Monitoring global vegetation using Nimbus-7
37 GHz data: Some empirical relations. International Journal of Remote Sensing, 8,
1085–1090.
Choudhury, B. J., Tucker, C. J., Golus, R. E., and Newcomb, W. W. (1987). Monitoring vegetation using Nimbus-7 scanning multichannel microwave radiometer’s data. International
Journal of Remote Sensing, 8, 533–538.
Cohen, W. B., Maierpserger, T. K., Gower, S. T., and Turner, D. P. (2003). An improved strategy for regression of biophysical variables and Landsat ETM+ data. Remote Sensing of
Environment, 84, 561–571.
Daughtry, C. S. T., Walthall, C. L., Kim, M. S., Brown de Colstoun, E., and McMurtrey III,
J. E. (2000). Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment, 74, 229–239.
Dawson, T. P., North, P. R. J., Plummer, S. E., and Curran, P. J. (2003). Forest ecosystem chlorophyll content: Implications for remotely sensed estimates of net primary productivity.
International Journal of Remote Sensing, 24, 611–617.
Fassnacht, K. S., Gower, S. T., MacKenzie, M. D., Nordheim, E. V., and Lillesand, T. M.
(1997). Estimating the leaf area index of north central Wisconsin forests using the
Landsat Thematic Mapper. Remote Sensing of Environment, 61, 229–245.
Friedl, M. A., Davis, F. W., Michaelsen, J., and Moritz, M. A. (1995). Scaling and uncertainty
in the relationship between NDVI and land surface biophysical variables: An analysis
using a scene simulation model and data from FIFE. Remote Sensing of Environment,
54, 233–246.
Foody, G. M., Boyd, D. S., and Cutler, M. E. J. (2003). Predictive relations of tropical forest
biomass from Landsat TM data their transferability between regions. Remote Sensing of
Environment, 85, 463–474.
Gitelson, A. A., Kaufman, Y., and Merzlyak, M. (1996). Use of a green channel in remote
sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment, 58,
289–298.
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Asrar, G., Myneni, R. B., and Choudhury, B. J. (1992). Spatial heterogeneity in vegetation
canopies and remote sensing of absorbed photo synthetically active radiation: A modeling study. Remote Sensing of Environment, 41, 85–103.
Baret, F. and Guyot, G. (1991). Potentials and limits of vegetation indices for LAI and APAR
assessment. Remote Sensing of Environment, 35, 161–173.
Becker, F. and Choudhury, B. J. (1988). Relative sensitivity of normalized difference vegetation index (NDVI) and microwave polarization difference index (MPDI) for vegetation
and desertification monitoring. Remote Sensing of Environment, 24, 297–311.
Broge, N. H. and Leblanc, E. (2000). Comparing prediction power and stability of broadband
and hyperspectral vegetation indices for estimation of green leaf area index and canopy
chlorophyll density. Remote Sensing of Environment, 76, 156–172.
Ceccato, P., Flasse, S., Tarantola, S., Jacquemoud, S., and Grégoire, J.-M. (2001). Detecting
vegetation leaf water content using reflectance in the optical domain. Remote Sensing of
Environment, 77, 22–23.
Chen, J. and Cihlar, J. (1996). Retrieving leaf area index of boreal conifer forests using Landsat
TM images. Remote Sensing of Environment, 55, 153–162.
Chen, K. S., Wu, T. D., Tsang, L., Li, Q., Shi, J., and Fung, A. K. (2003). The emission
of rough surfaces calculated by the integral equation method with a comparison to a
three-dimensional moment method simulations. IEEE Transactions on Geoscience and
Remote Sensing, 41, 90–101.
Choudhury, B. J. (1987). Relationship between vegetation indices, radiation absorption, and
net photosynthesis evaluated by a sensitivity analysis. Remote Sensing of Environment,
22, 209–233.
Choudhury, B. J. and Tucker, C. J. (1987). Monitoring global vegetation using Nimbus-7
37 GHz data: Some empirical relations. International Journal of Remote Sensing, 8,
1085–1090.
Choudhury, B. J., Tucker, C. J., Golus, R. E., and Newcomb, W. W. (1987). Monitoring vegetation using Nimbus-7 scanning multichannel microwave radiometer’s data. International
Journal of Remote Sensing, 8, 533–538.
Cohen, W. B., Maierpserger, T. K., Gower, S. T., and Turner, D. P. (2003). An improved strategy for regression of biophysical variables and Landsat ETM+ data. Remote Sensing of
Environment, 84, 561–571.
Daughtry, C. S. T., Walthall, C. L., Kim, M. S., Brown de Colstoun, E., and McMurtrey III,
J. E. (2000). Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sensing of Environment, 74, 229–239.
Dawson, T. P., North, P. R. J., Plummer, S. E., and Curran, P. J. (2003). Forest ecosystem chlorophyll content: Implications for remotely sensed estimates of net primary productivity.
International Journal of Remote Sensing, 24, 611–617.
Fassnacht, K. S., Gower, S. T., MacKenzie, M. D., Nordheim, E. V., and Lillesand, T. M.
(1997). Estimating the leaf area index of north central Wisconsin forests using the
Landsat Thematic Mapper. Remote Sensing of Environment, 61, 229–245.
Friedl, M. A., Davis, F. W., Michaelsen, J., and Moritz, M. A. (1995). Scaling and uncertainty
in the relationship between NDVI and land surface biophysical variables: An analysis
using a scene simulation model and data from FIFE. Remote Sensing of Environment,
54, 233–246.
Foody, G. M., Boyd, D. S., and Cutler, M. E. J. (2003). Predictive relations of tropical forest
biomass from Landsat TM data their transferability between regions. Remote Sensing of
Environment, 85, 463–474.
Gitelson, A. A., Kaufman, Y., and Merzlyak, M. (1996). Use of a green channel in remote
sensing of global vegetation from EOS-MODIS. Remote Sensing of Environment, 58,
289–298.