Page 286 - Digital Analysis of Remotely Sensed Imagery

248 Cha pte r S i x

Proceedings of the Symposium on Machine Processing of Remotely-Sensed Data 1976,
ed. A., 4B:41–51. West Lafayette, IN: Purdue University.
Leica. 2006. ERDAS Field Guide. Norcross, GA: Leica Geosystems Geospatial
Imaging.
Mather, P. M. 2004. Computer Processing of Remotely-Sensed Images: An Introduction
(3rd ed.). Chichester, England: John Wiley & Sons.
Prewitt, J. M. S. 1970. “Object enhancement and extraction.” In Picture Processing and
Psychopictorics, ed. B. S. Lipkin and A. Resenfeld. 75–149 New York: Academic
Press.
Rasmussen, M. S. 1998. “Developing simple, operational, consistent NDVI-
vegetation models by applying environmental and climatic information:
Part I. Assessment of net primary production.” International Journal of
Remote Sensing. 19(1):97–117.
Richards, J. A., and X. Jia. 2006. Remote Sensing Digital Image Analysis: An Introduction
(3rd ed.). Berlin: Springer.
Sabins, F. F., Jr. 1996. Remote Sensing: Principles and Interpretation (3rd ed.). New York:
Freeman.
Tanser, F. C., and A. R. Palmer. 1999. “The application of a remotely-sensed diversity
index to monitor degradation patterns in a semi-arid, heterogeneous, South
African landscape.” Journal of Arid Environments. 43(4):477–484.
Zha, Y., J. Gao, S. X. Ni, Y. Liu, J. Jiang, and Y. Wei. 2003a. “A spectral reflectance-
based approach to quantification of grassland cover from Landsat TM imag-
ery.” Remote Sensing of Environment. 87(2–3):371–375.