Kaugseire Eestis.pdf - Keskkonnaministeerium
Kaugseire Eestis.pdf - Keskkonnaministeerium
Kaugseire Eestis.pdf - Keskkonnaministeerium
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Vettpidava pinna suhtelise paiknemise kaardistamine spektrisegu lineaarse lahutamise meetodiga Tartu linna näitel<br />
Lee, S., Lathrop, R. G. 2005. Sub-pixel estimation of urban land-cover components with linear mixture model<br />
analysis and Landsat Thematic Mapper imagery. International Journal of Remote Sensing, 26:4885-4905.<br />
Leetmaa, K. 2004. Eeslinnastumine Tallinna linnaregioonis sotsialismijärgsel perioodil. Magistritöö<br />
inimgeograafias. Tartu: Tartu Ülikooli geograafia instituut.<br />
Lu, D., Morana, E., Batistella, M. 2003. Linear mixture model applied to Amazonian vegetation classification.<br />
Remote Sensing of Environment, 87:456-469.<br />
Lunetta, R. S. 1998. Applications, project formulation, and analytical approach. In: Lunetta, R. S., Elvidge, C.<br />
D. (Eds), Remote sensing change detection: Environmental monitoring methods and applications (pp 1-19).<br />
Taylor & Francis<br />
Phinn, S., Stanford, M., Scarth, P., Murray, A. T., Shyy, P. T. 2002. Monitoring the composition of urban<br />
environments based on the vegetation – imperious surface – soil (VIS) model by subpixel analysis techniques.<br />
International Journal of Remote Sensing, 23:4131-4153.<br />
Ridd, M.K. 1995. Exploring a V-I-S (vegetation-impervious surface-soil) model for urban ecosystem analysis<br />
through remote sensing: comparative anatomy for cities. International Journal of Remote Sensing, 16:2165-<br />
2185.<br />
Roberts, D. A., Gardner, M., Church, R., Ustin, S., Scheer, G., Green, R. O. 1998b. Mapping chaparral in the<br />
Santa Monica mountains using multiple endmember spectral mixture analysis. Remote Sensing of<br />
Environment, 65:267-279.<br />
Sjöberg, Ö., Tammaru, T. 1999. Transitional Statistics: Internal migration and urban growth in post-soviet<br />
Estonia. Europe-Asia Studies, 51:821-842.<br />
Small, C. 2001. Estimation of urban vegetation abundance by spectral mixture analysis. International Journal<br />
of Remote Sensing, 22:1305-1334.<br />
Small, C. 2002. Multitemporal analysis of urban reflectance. Remote Sensing of Environment, 81:427-442.<br />
Song, C. 2005. Spectral mixture analysis for subpixel vegetation fractions in the urban environment: How to<br />
incorporate endmember variability? Remote Sensing of Environment, 95:248-263.<br />
Souza Jr., C., Firestone, L., Silva L. M., Roberts, D. 2003. Mapping forest degradation in the Eastern Amazon<br />
from SPOT 4 through spectral mixture models. Remote Sensing of Environment, 87:494-506.<br />
Tammaru, T. 2000. Differential urbanisation and primate cuty growth in soviet and post-soviet Estonia.<br />
Tijdschrift voor Economische en Sociale Geografie, 91:20-30.<br />
Tammaru, T. 2001. Suburban growth and suburbanisation under central planning: the Case of soviet Estonia.<br />
Urban Studies, 38:1341-1357.<br />
Tompkins, S., Mustard, J. F., Pieters, C. M., Forsyth D. W. 1997. Optimization of endmembers for spectral<br />
mixture analysis. Remote Sensing of Environment, 59:472-189.<br />
Wu, C. 2004. Normalized spectral mixture analysis for monitoring urban composition using ETM+ imagery.<br />
Remote Sensing of Environment, 93:480-492.<br />
Wu, C., Murray, A. T. 2003. Estimating impervious surface distribution by spectral mixture analysis. Remote<br />
Sensing of Environment, 84:493-505.<br />
Zhang, J., Rivard, B., Sánchez-Azofeifa, A. 2005. Spectral unmixing of normalized reflectance data for the<br />
deconvolution of lichen and rock mixtures. Remote Sensing of Environment. 95:57-66.<br />
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