Reference : IMPROVING SOIL ORGANIC CARBON (SOC) PREDICTION BY FIELD SPECTROMETRY IN BARE CROPLAND...
Scientific congresses and symposiums : Paper published in a book
Engineering, computing & technology : Aerospace & aeronautics engineering
Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography
Life sciences : Agriculture & agronomy
http://hdl.handle.net/2268/33074
IMPROVING SOIL ORGANIC CARBON (SOC) PREDICTION BY FIELD SPECTROMETRY IN BARE CROPLAND BY REDUCING THE DISTURBING EFFECT OF SOIL ROUGHNESS
English
[fr] Amélioration de la prédiction du carbone organique du sol par spectrométrie de terrain dans des terres agricoles nues par réduction de l'effet de la rugosité du sol
Denis, Antoine mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement >]
Tychon, Bernard mailto [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement >]
Stevens, Antoine [Université Catholique de Louvain - UCL > Department of Geography > > >]
Van Wesemael, Bas [Université Catholique de Louvain - UCL > Department of Geography > > >]
17-Jul-2009
Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009
IEEE
Yes
International
978-1-4244-3395-7
2009 IEEE International Geoscience & Remote Sensing Symposium
du 13 juillet 2009 au 17 juillet 2009
2009 IEEE International Geoscience & Remote Sensing Symposium
Cape Town
South Africa
[en] infrared ; spectroscopy ; soil ; carbon ; roughness
[en] The spatial estimation of Soil Organic Carbon (SOC) at large scale in outdoor condition is an important issue. It has been largely demonstrated that diffuse reflectance spectroscopic techniques, are efficient for SOC determination in field conditions. However these methods are influenced by disturbing factors such as soil water content, vegetation residues and surface roughness, the later being the object of this study. Our laboratory experiments showed that the accuracy of SOC prediction from shadowed soil samples with spectroscopy techniques decreases with increasing soil shadow.
In this study a new methodology using a digital camera for identifying and correcting the effect of soil shadow on field reflectance spectra measured with an Analytical Spectral Devices (ASD) during field campaign in bare crop lands has been elaborated and tested. Results showed that the proposed shadow correction method enables improving significantly SOC prediction accuracy and performs better than traditionally used methods consisting in automatic signal processing.
Monitoring soil Organic CArbon in croplands using Imaging Spectroscopy (MOCA)
http://hdl.handle.net/2268/33074

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