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Sensitivity of DaisyGIS to LAI

Implications for land use based modelling of nitrate leaching

Bibliographic Data

ID9850067
AuthorsAnita Veihe (Roskilde University, corresponding author), Niels H Jensen (0000-0003-2627-1290, Roskilde University), Eva Boegh (Roskilde University), PETER FREDERIKSEN (0000-0003-3712-7980, Roskilde University), Michael W Pedersen (Roskilde University)
Year2006
Volume106
Issue2
Pages75-85
Publication date2006-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueGeografisk Tidsskrift-Danish Journal of Geography (JOURNAL)
Journal identifiersISSN: 0016-7223 • E-ISSN: 1903-2471
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00167223.2006.10649558
OpenAlexW2334253821
LanguageEN
References cited24

Geografisk Tidsskrift, Danish Journal of Geography 106(2): 75–85, 2006 Scaling is an important issue when measuring, modelling and understanding coupled socio-environmental terrestrial systems. Scaling may be enhanced through the incorporation of remotely sensed data. This paper assesses the sensitivity of DaisyGIS to changes in the Leaf Area Index (LAI) and discusses the implications for land use based modelling of nitrate leaching using remote sensing based LAI estimates. It is shown how DaisyGIS simulates nitrate leaching quite well over the period 2001 to 2004 except for one plot during a season with winter rape. It was found that the model is sensitive to changes in LAI with increases of up to 262% on nitrate leaching rates when reducing LAI by 15%. At the same time, the nitrate leaching rates at the field level vary considerably due to local changes in the water balance determined by soil profile characteristics. DaisyGIS is already an important tool for aiding decision makers and this study has shown how remote sensing based LAI estimates may be a valuable tool for model parameterisation and potentially for model validation

Agronomy · Geography · Hydrology (agriculture · Leaching (pedology · Leaf area index · Nitrate · Remote sensing · Scaling · Soil water · Chemistry · Engineering · Environmental Science · Mathematics · Plant Water Relations and Carbon Dynamics · Remote Sensing in Agriculture · Soil Geostatistics and Mapping · Soil Science

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Citation velocityhistorical
Highly citedNo

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