Zobrazeno 1 - 7
of 7
pro vyhledávání: '"T. M. Lillesand"'
Publikováno v:
Proceedings of the Fourth International Conference on Precision Agriculture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7bd4b4b2eab385f582357ac2ba5df2f
https://doi.org/10.2134/1999.precisionagproc4.c45b
https://doi.org/10.2134/1999.precisionagproc4.c45b
Publikováno v:
Hydrobiologia. 571:401-407
Ecological theory applied to small and shallow lakes suggests that water clarity and primary productivity may be bimodal, reflecting alternate stable states. This hypothesis was tested using remote sensing data. We used estimated Secchi disk transpar
Autor:
Carl J. Bowser, T. M. Lillesand, Timothy K. Kratz, David E. Armstrong, J. A. Pike, Monica G. Turner, Thomas M. Frost, Stith T. Gower, Timothy F. H. Allen, D. W. Bolgrien, S. R. Carpenter, Barbara J. Benson, John J. Magnuson
Publikováno v:
SIL Proceedings, 1922-2010. 26:522-528
(1997). Regionalization of long-term ecological research (LTER) on north temperate lakes. SIL Proceedings, 1922-2010: Vol. 26, No. 2, pp. 522-528.
Autor:
Paul V. Bolstad, T. M. Lillesand
Publikováno v:
International Journal of Remote Sensing. 13:3157-3166
A semi-automated approach to spectral training for a maximum likelihood classification is shown to maintain or improve classification accuracy while reducing analyst input five-fold. The semi-automated approach is based on spectral sampling via regio
Publikováno v:
International Journal of Remote Sensing. 12:2045-2063
This study reports on an investigation of multi-date water-quality calibration algorithms under turbid inland water conditions using Landsat Thematic Mapper (TM) multispectral digital data. TM data and water-quality observations were obtained near-si
Autor:
T. M. Lillesand
Publikováno v:
Government Information Quarterly. 7:307-327
Since the launch of the first civilian earth monitoring satellite in 1972, the field of satellite remote sensing has evolved substantially. Begun on a purely experimental basis with relatively crude imaging systems, space remote sensing has become a
Autor:
Jonathan W. Chipman, T. M. Lillesand, Jadunandan Dash, Ajay Mathur, Giles M. Foody, Paul J. Curran
The spectral, spatial, and temporal resolutions of Envisat's Medium Resolution Imaging Spectrometer (MERIS) data are attractive for regional- to global-scale land cover mapping. Moreover, two novel and operational vegetation indices derived from MERI
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e123250de47694d5f16cfd4ddd2b64c3
https://eprints.bournemouth.ac.uk/872/1/Curran_Output_4.pdf
https://eprints.bournemouth.ac.uk/872/1/Curran_Output_4.pdf