DocumentCode
513142
Title
Combination of remote sensing and in situ measurements for a detailed assessment of biophysical properties of East African rainforests: A case study for Kakamega Forest, Kenya, and Budongo Forest, Uganda
Author
Kraus, Tanja ; Schmidt, Michael ; Dech, Stefan ; Samimi, Cyrus
Author_Institution
German Remote Sensing Data Center, German Aerosp. Center, Wessling, Germany
Volume
3
fYear
2009
fDate
12-17 July 2009
Abstract
In situ measurements of leaf area index (LAI) were taken in two semi-deciduous rainforests in East Africa. Based on field data and optical high resolution satellite images, transfer functions were established that helped to produce high resolution LAI maps of both areas. In a further step, these maps were used to validate the spatial accuracy of the MODIS LAI product for the two test sites. The temporal consistency of the product was investigated based on a time series for the years 2000-2005. Results show that both spatially and temporally the MODIS LAI product represented the test sites´ LAI with satisfying accuracy. Yet temporal interpolation should be applied to bad data quality pixels before MODIS LAI time series are used for further applications.
Keywords
environmental factors; time series; vegetation mapping; AD 2000 to 2005; Budongo forest; Kakamega forest; Kenya; MODIS LAI time series data; Uganda; east African rainforest biophysical properties; in situ measurements; leaf area index maps; optical high resolution satellite images; remote sensing; semideciduous rainforests; temporal interpolation; transfer functions; Africa; Area measurement; Biomedical optical imaging; Image resolution; MODIS; Optical sensors; Remote sensing; Satellites; Spatial resolution; Testing; East Africa; LAI; MODIS LAI product; rain forests; validation;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location
Cape Town
Print_ISBN
978-1-4244-3394-0
Electronic_ISBN
978-1-4244-3395-7
Type
conf
DOI
10.1109/IGARSS.2009.5417766
Filename
5417766
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