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Remote sensing of land use and vegetation for mesoscale hydrological studies

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Abstract
In this paper, methods for mapping land use changes and vegetation parameters using remote sensing data are presented in the context of hydrological studies. In the first part, a land use and land cover classification system (RUB-LUGS: Ruhr University Bochum-Land Use and Land Cover Classification System) is developed for providing distributed information for hydrological modelling and for detection of distributed land use changes. Applying this system to Landsat data, land use time series is created for hydrological modelling of effects of man-made changes in the Sauer River Basin. In the second part, equations are established for estimating leaf area indices using vegetation indices calculated from remote sensing data and a two stream approximation model for estimating leaf area indices is applied to the Sauer River Basin. Combining the two approaches, a method has been found for calculating leaf area indices for mesoscale river basins using remote sensing data.
Keywords
DISTRIBUTED MODELING SYSTEM, LEAF-AREA-INDEX, COMBINATIONS, EUROPEEN, AVHRR, SHE

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Citation

Please use this url to cite or link to this publication:

MLA
Su, Zongbo. “Remote Sensing of Land Use and Vegetation for Mesoscale Hydrological Studies.” INTERNATIONAL JOURNAL OF REMOTE SENSING 21.2 (2000): 213–233. Print.
APA
Su, Zongbo. (2000). Remote sensing of land use and vegetation for mesoscale hydrological studies. INTERNATIONAL JOURNAL OF REMOTE SENSING, 21(2), 213–233.
Chicago author-date
Su, Zongbo. 2000. “Remote Sensing of Land Use and Vegetation for Mesoscale Hydrological Studies.” International Journal of Remote Sensing 21 (2): 213–233.
Chicago author-date (all authors)
Su, Zongbo. 2000. “Remote Sensing of Land Use and Vegetation for Mesoscale Hydrological Studies.” International Journal of Remote Sensing 21 (2): 213–233.
Vancouver
1.
Su Z. Remote sensing of land use and vegetation for mesoscale hydrological studies. INTERNATIONAL JOURNAL OF REMOTE SENSING. 2000;21(2):213–33.
IEEE
[1]
Z. Su, “Remote sensing of land use and vegetation for mesoscale hydrological studies,” INTERNATIONAL JOURNAL OF REMOTE SENSING, vol. 21, no. 2, pp. 213–233, 2000.
@article{133260,
  abstract     = {In this paper, methods for mapping land use changes and vegetation parameters using remote sensing data are presented in the context of hydrological studies. In the first part, a land use and land cover classification system (RUB-LUGS: Ruhr University Bochum-Land Use and Land Cover Classification System) is developed for providing distributed information for hydrological modelling and for detection of distributed land use changes. Applying this system to Landsat data, land use time series is created for hydrological modelling of effects of man-made changes in the Sauer River Basin. In the second part, equations are established for estimating leaf area indices using vegetation indices calculated from remote sensing data and a two stream approximation model for estimating leaf area indices is applied to the Sauer River Basin. Combining the two approaches, a method has been found for calculating leaf area indices for mesoscale river basins using remote sensing data.},
  author       = {Su, Zongbo},
  issn         = {0143-1161},
  journal      = {INTERNATIONAL JOURNAL OF REMOTE SENSING},
  keywords     = {DISTRIBUTED MODELING SYSTEM,LEAF-AREA-INDEX,COMBINATIONS,EUROPEEN,AVHRR,SHE},
  language     = {eng},
  number       = {2},
  pages        = {213--233},
  title        = {Remote sensing of land use and vegetation for mesoscale hydrological studies},
  url          = {http://dx.doi.org/10.1080/014311600210803},
  volume       = {21},
  year         = {2000},
}

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