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Remote sensing of land use and vegetation for mesoscale hydrological studies

Zongbo Su (2000) INTERNATIONAL JOURNAL OF REMOTE SENSING. 21(2). p.213-233
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
DISTRIBUTED MODELING SYSTEM, LEAF-AREA-INDEX, COMBINATIONS, EUROPEEN, AVHRR, SHE
journal title
INTERNATIONAL JOURNAL OF REMOTE SENSING
Int. J. Remote Sens.
volume
21
issue
2
pages
213-233 pages
Web of Science type
Article
Web of Science id
000084681200002
ISSN
0143-1161
DOI
10.1080/014311600210803
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
133260
handle
http://hdl.handle.net/1854/LU-133260
date created
2004-01-14 13:36:00
date last changed
2010-01-12 11:12:38
@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},
  keyword      = {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},
}

Chicago
Su, Zongbo. 2000. “Remote Sensing of Land Use and Vegetation for Mesoscale Hydrological Studies.” International Journal of Remote Sensing 21 (2): 213–233.
APA
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.
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.