ORBi: Denis Antoine - IMPROVING SOIL ORGANIC CARBON (SOC) PREDICTION BY FIELD SPECTROMETRY IN BARE CROPLAND BY REDUCING THE DISTURBING EFFECT OF SOIL ROUGHNESS

Reference : IMPROVING SOIL ORGANIC CARBON (SOC) PREDICTION BY FIELD SPECTROMETRY IN BARE CROPLAND BY...


	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Aerospace & aeronautics engineering Physical, chemical, mathematical & earth Sciences : Earth sciences & physical geography Life sciences : Agriculture & agronomy
	To cite this reference:	http://hdl.handle.net/2268/33074

Title :	IMPROVING SOIL ORGANIC CARBON (SOC) PREDICTION BY FIELD SPECTROMETRY IN BARE CROPLAND BY REDUCING THE DISTURBING EFFECT OF SOIL ROUGHNESS
Language :	English
Alternative title :	[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
Author, co-author :	Denis, Antoine [Université de Liège - ULg > Département des sciences et gestion de l'environnement > Département des sciences et gestion de l'environnement >]
	Tychon, Bernard [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 > > >]
Publication date :	17-Jul-2009
Main document title :	Geoscience and Remote Sensing Symposium, 2009 IEEE International, IGARSS 2009
Publisher :	IEEE
Peer reviewed :	Yes
Audience :	International
ISBN :	978-1-4244-3395-7
Event name :	2009 IEEE International Geoscience & Remote Sensing Symposium
Event date :	du 13 juillet 2009 au 17 juillet 2009
Event organizer :	2009 IEEE International Geoscience & Remote Sensing Symposium
Event place (city) :	Cape Town
Event country :	South Africa
Keywords :	[en] infrared ; spectroscopy ; soil ; carbon ; roughness
Abstract :	[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.
Name of the research project :	Monitoring soil Organic CArbon in croplands using Imaging Spectroscopy (MOCA)
Permalink :	http://hdl.handle.net/2268/33074

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