439
Microwave Vegetation Indices from Satellite Passive Microwave Sensors
Gitelson, A. A. and Merzlyak, M. N. (1997). Remote estimation of chlorophyll content in
higher plant leaves. International Journal of Remote Sensing, 18, 2691–2697.
Gitelson, A. A., Kaufman, Y. J., Stark, R., and Rundquist, D. (2002). Novel algorithms for
remote estimation of vegetation fraction. Remote Sensing of Environment, 80, 76–87.
Haboudane, D., Miller, J. R., Pattey, E., Zarco-Tejada, P. J., and Strachan, I. (2004).
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of
crop canopies: Modeling and validation in the context of precision agriculture. Remote
Sensing of Environment, 90, 337–352.
Hatfield, J. L., Asrar, G., and Kanemasu, E. T. (1984). Intercepted photosynthetically active
radiation estimated by spectral reflectance. Remote Sensing of Environment, 14, 65–75.
Huete, A. (1988). A soil adjusted vegetation index (SAVI). Remote Sensing of Environment,
25, 295–309.
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G. (2002).
Overview of the radiometric and biophysical performance of the MODI vegetation
indices. Remote Sensing of Environment, 83, 195–213.
Hunt Jr., E. R. (1994). Relationship between woody biomass and PAR conversion efficiency
for estimating net primary production from NDVI. International Journal of Remote
Sensing, 15, 1725–1730.
Inoue, Y., Peñuelas, J., Miyata, A., and Mano, M. (2007). Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from
hyperspectral and CO 2 flux measurements in rice. Remote Sensing of Environment, 112,
156–172.
Jackson, T. J. and Schmugge, T. J. (1991). Vegetation effects on the microwave emission of
soils. Remote Sensing of Environment, 36, 203–212.
Jackson, T. J., Bindlish, R., Gasiewski, A. J., Stankov, B., Klein, M., Njoku, E. G., Bosch, D.,
Coleman, T. L., Laymon, C., and Starks, P. (2005). Polarimetric Scanning Radiometer
C and X band microwave observations during SMEX03. IEEE Trans. Geoscience and
Remote Sensing, 43: 2418–2430.
Justice, C. O., Townshend, J. R. G., and Choudhury, B. J. (1989). Comparison of AVHRR and
SMMR data for monitoring vegetation phenology on a continental scale. International
Journal of Remote Sensing, 10, 1607–1632.
Kawanishi, T., Imaoka, K., Sezai, T., Ito, Y., Shibata, A., Miura, M., Inahata, H., and Spencer,
R. (2003). The Advanced Microwave Scanning Radiometer for the Earth Observing
System (AMSR-E), NASDA’s contribution to the EOS for global energy and water cycle
studies. IEEE Transactions on Geoscience and Remote Sensing, 41, 184–194.
Kerr, Y. H. and Njoku, E. G. (1990). A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space. IEEE Transactions on Geoscience
and Remote Sensing, 28, 384–393.
Labus, M. P., Nielsen, G. A., Lawrence, R. L., Engel, R., and Long, D. S. (2002). Wheat yield
estimates using multitemporal NDVI satellite imagery. International Journal of Remote
Sensing, 23, 4169–4180.
Le Vine, D. M. and Karam, M. A. (1996). Dependence of attenuation in a vegetation canopy
on frequency and plant water content. IEEE Transactions on Geoscience and Remote
Sensing, 34, 1090–1096.
Li, L., Njoku, E., Im, E., Chang, P., and Germain, K. S. (2004). A preliminary survey of
radio-frequency interference over the U.S. in Aqua AMSR-E data. IEEE Transactions
on Geoscience and Remote Sensing, 42, 380–390.
Min, Q. and Lin, B. (2006). Remote sensing of evapotranspiration and carbon uptake at
Harvard forest. Remote Sensing of Environment, 100, 379–387.
Myneni, R. B. and Ganapol, B. D. (1992). Remote sensing of vegetation canopy photosynthetic
and stomatal conductance efficiencies. Remote Sensing of Environment, 42, 217–238.
Microwave Vegetation Indices from Satellite Passive Microwave Sensors
Gitelson, A. A. and Merzlyak, M. N. (1997). Remote estimation of chlorophyll content in
higher plant leaves. International Journal of Remote Sensing, 18, 2691–2697.
Gitelson, A. A., Kaufman, Y. J., Stark, R., and Rundquist, D. (2002). Novel algorithms for
remote estimation of vegetation fraction. Remote Sensing of Environment, 80, 76–87.
Haboudane, D., Miller, J. R., Pattey, E., Zarco-Tejada, P. J., and Strachan, I. (2004).
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of
crop canopies: Modeling and validation in the context of precision agriculture. Remote
Sensing of Environment, 90, 337–352.
Hatfield, J. L., Asrar, G., and Kanemasu, E. T. (1984). Intercepted photosynthetically active
radiation estimated by spectral reflectance. Remote Sensing of Environment, 14, 65–75.
Huete, A. (1988). A soil adjusted vegetation index (SAVI). Remote Sensing of Environment,
25, 295–309.
Huete, A., Didan, K., Miura, T., Rodriguez, E. P., Gao, X., and Ferreira, L. G. (2002).
Overview of the radiometric and biophysical performance of the MODI vegetation
indices. Remote Sensing of Environment, 83, 195–213.
Hunt Jr., E. R. (1994). Relationship between woody biomass and PAR conversion efficiency
for estimating net primary production from NDVI. International Journal of Remote
Sensing, 15, 1725–1730.
Inoue, Y., Peñuelas, J., Miyata, A., and Mano, M. (2007). Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from
hyperspectral and CO 2 flux measurements in rice. Remote Sensing of Environment, 112,
156–172.
Jackson, T. J. and Schmugge, T. J. (1991). Vegetation effects on the microwave emission of
soils. Remote Sensing of Environment, 36, 203–212.
Jackson, T. J., Bindlish, R., Gasiewski, A. J., Stankov, B., Klein, M., Njoku, E. G., Bosch, D.,
Coleman, T. L., Laymon, C., and Starks, P. (2005). Polarimetric Scanning Radiometer
C and X band microwave observations during SMEX03. IEEE Trans. Geoscience and
Remote Sensing, 43: 2418–2430.
Justice, C. O., Townshend, J. R. G., and Choudhury, B. J. (1989). Comparison of AVHRR and
SMMR data for monitoring vegetation phenology on a continental scale. International
Journal of Remote Sensing, 10, 1607–1632.
Kawanishi, T., Imaoka, K., Sezai, T., Ito, Y., Shibata, A., Miura, M., Inahata, H., and Spencer,
R. (2003). The Advanced Microwave Scanning Radiometer for the Earth Observing
System (AMSR-E), NASDA’s contribution to the EOS for global energy and water cycle
studies. IEEE Transactions on Geoscience and Remote Sensing, 41, 184–194.
Kerr, Y. H. and Njoku, E. G. (1990). A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space. IEEE Transactions on Geoscience
and Remote Sensing, 28, 384–393.
Labus, M. P., Nielsen, G. A., Lawrence, R. L., Engel, R., and Long, D. S. (2002). Wheat yield
estimates using multitemporal NDVI satellite imagery. International Journal of Remote
Sensing, 23, 4169–4180.
Le Vine, D. M. and Karam, M. A. (1996). Dependence of attenuation in a vegetation canopy
on frequency and plant water content. IEEE Transactions on Geoscience and Remote
Sensing, 34, 1090–1096.
Li, L., Njoku, E., Im, E., Chang, P., and Germain, K. S. (2004). A preliminary survey of
radio-frequency interference over the U.S. in Aqua AMSR-E data. IEEE Transactions
on Geoscience and Remote Sensing, 42, 380–390.
Min, Q. and Lin, B. (2006). Remote sensing of evapotranspiration and carbon uptake at
Harvard forest. Remote Sensing of Environment, 100, 379–387.
Myneni, R. B. and Ganapol, B. D. (1992). Remote sensing of vegetation canopy photosynthetic
and stomatal conductance efficiencies. Remote Sensing of Environment, 42, 217–238.