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The potential of optical high resolution data for the assessment of leaf area index in East African rainforest ecosystems

Title data

Kraus, Tanja ; Schmidt, Michael ; Dech, Stefan W. ; Samimi, Cyrus:
The potential of optical high resolution data for the assessment of leaf area index in East African rainforest ecosystems.
In: International Journal of Remote Sensing. Vol. 30 (2009) Issue 19 . - pp. 5039-5059.
ISSN 0143-1161
DOI: https://doi.org/10.1080/01431160903022878

Project information

Project financing: Bundesministerium für Bildung und Forschung

Abstract in another language

Operational standard products of biophysical variables, such as leaf area index (LAI) derived from satellite observations (e.g. Moderate Resolution Imaging Spectroradiometer (MODIS), Medium Resolution Imaging Spectrometer (MERIS) or VEGETATION), serve the need for adequate input data for quantitative modelling of ecosystem dynamics on regional to global scales. For the validation of those products and for local applications, higher resolution LAI maps based on field and high spatial resolution satellite data are crucial. As validation sites in tropical rainforests are rare, a study was undertaken in a moist semi-deciduous tropical rainforest in East Africa. In situ LAI measurements were carried out with digital hemispherical photography on 30 test sites. Spectral vegetation indices (SVIs) and texture measures calculated from top-of-canopy Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Satellite Pour l'Observation de la Terre (SPOT)-4 High Resolution Visible and Infrared (HRVIR) reflectance data were compared with respect to their ability to predict effective LAI. Regression analyses showed that ASTER data were generally better suited, with simple ratio (SR) performing best for early and intermediate forest stages and texture measures (grey level co-occurrence matrix (GLCM) variance) derived from SWIR information rendering superior results in later forest stages. Finally, a high resolution LAI map could be constructed with an accuracy of 0.39. © 2009 Taylor & Francis.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professorship Climatology
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professorship Climatology > Professorship Climatology - Univ.-Prof. Dr. Cyrus Samimi
Profile Fields > Advanced Fields > African Studies
Profile Fields > Advanced Fields > Ecology and the Environmental Sciences
Research Institutions > Research Centres > Bayreuth Center of Ecology and Environmental Research- BayCEER
Research Institutions > Research Centres > Institute of African Studies - IAS
Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Profile Fields
Profile Fields > Advanced Fields
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: No
DDC Subjects: 500 Science > 500 Natural sciences
900 History and geography > 910 Geography, travel
Date Deposited: 02 Jun 2017 07:49
Last Modified: 02 Jun 2017 07:49
URI: https://eref.uni-bayreuth.de/id/eprint/37409