Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 357300
Title River floodplain vegation scenario development using imaging spectroscopy derived products as input variables in a dynamic vegetation model
Author(s) Schaepman, M.E.; Wamelink, G.W.W.; Dobben, H.F. van; Gloor, M.; Schaepman-Strub, G.; Kooistra, L.; Clevers, J.G.P.W.; Schmidt, A.M.; Berendse, F.
Source Photogrammetric Engineering and Remote Sensing 73 (2007)10. - ISSN 0099-1112 - p. 1179 - 1188.
Department(s) Laboratory of Geo-information Science and Remote Sensing
Plant Ecology and Nature Conservation
Landscape Centre
Centre Geo-information
Wageningen Environmental Research
Publication type Refereed Article in a scientific journal
Publication year 2007
Keyword(s) climate-change - validation - contamination - reflectance - management
Abstract River floodplains are becoming increasingly subject to multifunctional land-use. In this contribution, we are linking imaging spectrometer derived products with a dynamic vegetation model to improve the simulation and evaluation of scenarios for a river floodplain in the Netherlands. In particular, we are using airborne HyMap imaging spectrometer data to derive Leaf Area Index (LAI), spatial distribution of Plant Functional Types (PFT), and model dominant species abundances as input for the ecological model. We use the dynamic vegetation model (DVM) SMART2-SUMO to simulate vegetation succession under scenarios of changing abiotic conditions and management regimes. SMART2 is a soil chemical model whereas SUMO describes plant competition and resulting vegetation succession, We validate all remote sensing derived products and the DVM calibration independently using extensive field sampling. We conclude that the dynamic vegetation models can be successfully initialized using imaging spectrometer data at currently unprecedented accuracy. However, all efforts undertaken for validation in this contribution may significantly exceed capacities for national or continental scale application of the proposed method.
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