440
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Myneni, R. B. and Williams, D. L. (1994). On the relationship between FAPAR and NDVI.
Remote Sensing of Environment, 49, 200–211.
Myneni, R. B., Maggion, S., Iaquinta, J., Privette, J. L., Gobron, N., Pinty, B., Verstraete,
M. M., Kimes, D. S., and Williams, D. L. (1995a). Optical remote sensing of vegetation:
Modeling, caveats and algorithms. Remote Sensing of Environment, 51, 169–188.
Myneni, R. B., Hall, F. G., Sellers, P. J., and Marshak, A. L. (1995b). The interpretation of
spectral vegetation indices. IEEE Transactions on Geoscience and Remote Sensing, 33,
481–486.
Myneni, R. B., Nemani, R. R., and Running, S. W. (1997). Estimation of global leaf area index
and absorbed PAR using radiative transfer models. IEEE Transactions on Geoscience
and Remote Sensing, 35, 1380–1393.
Njoku, E. G. and Li, L. (1999). Retrieval of land surface parameters using passive microwave measurements at 6–18 GHz. IEEE Transactions on Geoscience and Remote Sensing, 30, 79–93.
Njoku, E. G., Jackson, T., Lakshmi, V., Chan, T., and Nghiem, S. V. (2003). Soil moisture
retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing, 41,
215–229.
Njoku, E. G., Ashcroft, P., and Li, L. (2005). Statistics and global survey of radio-frequency
interference in AMSR-E land observations. IEEE Transactions on Geoscience and
Remote Sensing, 43, 938–947.
Njoku, E. G. and Chan, T. K. (2006). Vegetation and surface roughness effects on AMSR-E
land observations. Remote Sensing of Environment, 100, 190–199.
Owe, M., De Jeu, R., and Walker, J. (2001). A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE
Transactions on Geoscience and Remote Sensing, 39, 1643–1654.
Paloscia, S. and Pampaloni, P. (1988). Microwave polarization index for monitoring vegeta. (1988). Microwave polarization index for monitoring vegeta1988). Microwave polarization index for monitoring vegeta). Microwave polarization index for monitoring vegetaMicrowave polarization index for monitoring vegetation growth. IEEE Transactions on Geoscience and Remote Sensing, 26, 617–621.
Paloscia, S. and Pampaloni, P. (1992). Microwave vegetation indexes for detecting biomass
and water conditions of agricultural crops. Remote Sensing of Environment, 40, 15–26.
Paloscia, S. Macelloni, G., and Santi, E. (2006). Soil moisture estimates from AMSR-E
brightness temperatures by using a dual-frequency algorithm. IEEE Transactions on
Geoscience and Remote Sensing, 44, 3135–3144.
Pampaloni, P. and Paloscia, S. (1986). Microwave emission and plant water content: A comparison between field measurements and theory. IEEE Transactions on Geoscience and
Remote Sensing, GE-24, 900–905.
Purevdorj, T., Tateishi, R., Ishiyama, T., and Honda, Y. (1998) Relationships between percent
vegetation cover and vegetation indices. International Journal of Remote Sensing, 19,
3519–3535.
Ruimy, A., Saugier, B., and Dedieu, G. (1994). Methodology for the estimation of terrestrial
net primary production from remotely sensed data. International Journal of Remote
Sensing, 99, 5263–5283.
Sellers, P. J., Berry, J. A., Gollatz, G. J., Field, C. B., and Hall, F. G. (1992). Canopy reflectance, photosynthesis and transpiration, III, A reanalysis using improved leaf models
and a new canopy integration scheme. Remote Sensing of Environment, 42, 187–216.
Shi, J., Jiang, L. M., Zhang, L. X., Chen, K. S., Wigneron, J. P., and Chanzy, A. (2005).
A parameterized multi-frequency-polarization surface emission model. IEEE Transactions on Geoscience and Remote Sensing, 43, 2831–2841.
Sims, D. A. and Gamon, J. A. (2003). Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: A comparison of indices based on liquid
water and chlorophyll absorption features. Remote Sensing of Environment, 84, 526–537.
Todd, S. W., Hoffer, R. M., and Milchunas, D. G. (1998). Biomass estimation on grazed and
ungrazed rangelands using spectral indices. International Journal of Remote Sensing,
19, 427–438.
Multiscale Hydrologic Remote Sensing: Perspectives and Applications
Myneni, R. B. and Williams, D. L. (1994). On the relationship between FAPAR and NDVI.
Remote Sensing of Environment, 49, 200–211.
Myneni, R. B., Maggion, S., Iaquinta, J., Privette, J. L., Gobron, N., Pinty, B., Verstraete,
M. M., Kimes, D. S., and Williams, D. L. (1995a). Optical remote sensing of vegetation:
Modeling, caveats and algorithms. Remote Sensing of Environment, 51, 169–188.
Myneni, R. B., Hall, F. G., Sellers, P. J., and Marshak, A. L. (1995b). The interpretation of
spectral vegetation indices. IEEE Transactions on Geoscience and Remote Sensing, 33,
481–486.
Myneni, R. B., Nemani, R. R., and Running, S. W. (1997). Estimation of global leaf area index
and absorbed PAR using radiative transfer models. IEEE Transactions on Geoscience
and Remote Sensing, 35, 1380–1393.
Njoku, E. G. and Li, L. (1999). Retrieval of land surface parameters using passive microwave measurements at 6–18 GHz. IEEE Transactions on Geoscience and Remote Sensing, 30, 79–93.
Njoku, E. G., Jackson, T., Lakshmi, V., Chan, T., and Nghiem, S. V. (2003). Soil moisture
retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing, 41,
215–229.
Njoku, E. G., Ashcroft, P., and Li, L. (2005). Statistics and global survey of radio-frequency
interference in AMSR-E land observations. IEEE Transactions on Geoscience and
Remote Sensing, 43, 938–947.
Njoku, E. G. and Chan, T. K. (2006). Vegetation and surface roughness effects on AMSR-E
land observations. Remote Sensing of Environment, 100, 190–199.
Owe, M., De Jeu, R., and Walker, J. (2001). A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index. IEEE
Transactions on Geoscience and Remote Sensing, 39, 1643–1654.
Paloscia, S. and Pampaloni, P. (1988). Microwave polarization index for monitoring vegeta. (1988). Microwave polarization index for monitoring vegeta1988). Microwave polarization index for monitoring vegeta). Microwave polarization index for monitoring vegetaMicrowave polarization index for monitoring vegetation growth. IEEE Transactions on Geoscience and Remote Sensing, 26, 617–621.
Paloscia, S. and Pampaloni, P. (1992). Microwave vegetation indexes for detecting biomass
and water conditions of agricultural crops. Remote Sensing of Environment, 40, 15–26.
Paloscia, S. Macelloni, G., and Santi, E. (2006). Soil moisture estimates from AMSR-E
brightness temperatures by using a dual-frequency algorithm. IEEE Transactions on
Geoscience and Remote Sensing, 44, 3135–3144.
Pampaloni, P. and Paloscia, S. (1986). Microwave emission and plant water content: A comparison between field measurements and theory. IEEE Transactions on Geoscience and
Remote Sensing, GE-24, 900–905.
Purevdorj, T., Tateishi, R., Ishiyama, T., and Honda, Y. (1998) Relationships between percent
vegetation cover and vegetation indices. International Journal of Remote Sensing, 19,
3519–3535.
Ruimy, A., Saugier, B., and Dedieu, G. (1994). Methodology for the estimation of terrestrial
net primary production from remotely sensed data. International Journal of Remote
Sensing, 99, 5263–5283.
Sellers, P. J., Berry, J. A., Gollatz, G. J., Field, C. B., and Hall, F. G. (1992). Canopy reflectance, photosynthesis and transpiration, III, A reanalysis using improved leaf models
and a new canopy integration scheme. Remote Sensing of Environment, 42, 187–216.
Shi, J., Jiang, L. M., Zhang, L. X., Chen, K. S., Wigneron, J. P., and Chanzy, A. (2005).
A parameterized multi-frequency-polarization surface emission model. IEEE Transactions on Geoscience and Remote Sensing, 43, 2831–2841.
Sims, D. A. and Gamon, J. A. (2003). Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: A comparison of indices based on liquid
water and chlorophyll absorption features. Remote Sensing of Environment, 84, 526–537.
Todd, S. W., Hoffer, R. M., and Milchunas, D. G. (1998). Biomass estimation on grazed and
ungrazed rangelands using spectral indices. International Journal of Remote Sensing,
19, 427–438.