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HYPERSPECTRAL REMOTE SENSING WITH EMPHASIS ON LAND COVER MAPPING
communities from salt marshes: A case-study from Chongming Dongtan, Yangtze estuary
China. Frontiers of Environmental Science and Engineering in China 2:11.
Zhang, J., Fu, M., Tiao, J., Huang, Y., Hassani, F. P., and Bai, Z. 2010. Response of ecological
storage and conservation to land use transformation: A case study of a mining town in
China. Ecological Modelling 221:1427–1439.
Zhang, J. K., Rivard, B., Sanchez-Azofeifa, A., and Castro-Esau, K. 2006. Intra and inter class
spectral variability of tropical tree species at La Selva, Costa Rica: Implications for species
identification using HYDICE imagery. Remote Sensing of Environment 105(2):129–141.
Zhang, R., and Ma, J. 2009. Feature selection for hyperspectral data based on recursive support
vector machines. International Journal of Remote Sensing 30(14):3669–3677.
Zomer, R. J., Trabucco, A., and Ustin, S. L. 2009. Building spectral libraries for wetlands land
cover classification and hyperspectral remote sensing. Journal of Environmental Management 90(7):2170–2177.
Zomer, R. J., Ustin, S. L., and Evans, M. 1999. Ground-truth data collection protocol for
hyperspectral remote sensing. Retrieved May, 2012, from http://cstars.ucdavis.edu.
320
HYPERSPECTRAL REMOTE SENSING WITH EMPHASIS ON LAND COVER MAPPING