In the face of climate change, knowledge of the global carbon
balance is critical. A free global GPP product is available from
the MODIS satellite sensor. Its algorithm is based on a biome
specific maximum Radiation Use Efficiency (RUE) value. On a small
spatial scale, local growing conditions create a high spatial
variability in RUE which the biome specific RUE value in the MODIS
GPP algorithm does account for. As a result, MODIS GPP has often
been found unreliable at local and regional scales. An alternative
method is to remotely estimate RUE by means of the Photochemical
Reflectance Index (PRI). Various studies have already found strong
correlations between PRI and RUE in Mediterranean and boreal
forests. The objective of this study was to investigate the usage
of the PRI as an estimator for RUE for the purpose of monitoring
GPP with MODIS data in temperate forests. A GPP dataset was
established for the Veluwe forests in The Netherlands for 2002-2006
by using MODIS data and the PRI as estimator of RUE. The results of
this study support the thesis that on a small spatial scale MODIS
GPP is unreliable and that accuracy can be improved using the PRI
approach.
General
Imprint: |
Lap Lambert Academic Publishing
|
Country of origin: |
Germany |
Release date: |
December 2011 |
First published: |
December 2011 |
Authors: |
David Marcelis
|
Dimensions: |
229 x 152 x 4mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
72 |
ISBN-13: |
978-3-8473-0542-2 |
Categories: |
Books >
Earth & environment >
Earth sciences >
General
|
LSN: |
3-8473-0542-5 |
Barcode: |
9783847305422 |
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