Bibliographies

Kim, H-C., Yoo, S. and Oh, I. S. (2007). Relationship between phytoplankton bloom and wind stress in the sub-polar frontal area of the Japan/East Sea.  Journal of Marine Systems, 67(3-4): [...]

Kim, S.-W., Saitoh, S.-I., Ishizaka, J., Isoda, Y., and Kishino, M. (2000). Temporal and spatial variability of phytoplankton pigment concentrations in the Japan Sea derived from CZCS images. J. [...]

Kiefer, D. A. and Wilson, W. H. (1978). Reflectance spectroscopy of marine phytoplankton. Scripps Institute of Oceanography Ref. 78-6. Sponsored by U.S. Department of Commerce, National Oceanic [...]

Kiefer, D. A. and SooHoo, J. B. (1982). Spectral absorption by marine particles of coastal waters of Baja California.  Limnol. Oceanogr. 27: 492-499.

Kharuk, V. I., Morgun, V. N., Rock, B. N. and Williams, D. L. (1994). Chlorophyll fluorescence and delayed fluorescence as potential tools in remote sensing: A reflection of some aspects of [...]

Kergoat, L., Fischer, A., Moulin, S. and Dedieu, G. (1995). Satellite measurements as a constraint on estimates of vegetation carbon budget. Tellus. 47B: 251-263.

Keller, P. A. (2001). Comparison of two inversion techniques of a semi-analytical model for the determination of lake water constituents using imaging spectrometry data. The Sci. of the Tot. [...]

Keith, D.J., Yoder, J.A. and Freeman, S.A. (2002). Spatial and temporal distribution of Coloured Dissolved Organic Matter (CDOM) in Narragansett Bay, Rhode Island: Implications for phytoplankton [...]

Keiner, L. E., and Yan, X.-H. (1998). A neural network model for estimating sea surface chlorophyll and sediments from thematic mapper imagery.  Remote Sens. Environ. 66: 153-165.

Keiner, L. E., and Brown, C. W. (1999). Estimating oceanic chlorophyll concentrations with neural networks.  Intl. J. Remote Sensing. 20: 189-194.