ORBi: Kouadio Amani Louis - Estimating regional wheat yield from the shape of decreasing curves of green area index temporal profiles retrieved from MODIS data

Reference : Estimating regional wheat yield from the shape of decreasing curves of green area index ...


	Document type :	Scientific journals : Article
	Discipline(s) :	Life sciences : Environmental sciences & ecology Life sciences : Agriculture & agronomy
	To cite this reference:	http://hdl.handle.net/2268/115721

Title :	Estimating regional wheat yield from the shape of decreasing curves of green area index temporal profiles retrieved from MODIS data
Language :	English
Author, co-author :	Kouadio, Amani Louis [Université de Liège - ULg > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Agrométéorologie (relation agriculture-environ. physique) >]
	Duveiller, Gregory [European Joint Research Centre > Institute for the Environment and Sustainability > Monitoring Agricultural Resources Unit > >]
	Djaby, Bakary [Université de Liège - ULg > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) >]
	El Jarroudi, Moussa [Université de Liège - ULg > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Agrométéorologie (relation agriculture-environ. physique) >]
	Deforuny, Pierre [Université Catholique de Louvain - UCL > Earth and Life Institute > > >]
	Tychon, Bernard [Université de Liège - ULg > DER Sc. et gest. de l'environnement (Arlon Campus Environ.) > Agrométéorologie (relation agriculture-environ. physique) >]
Publication date :	2012
Journal title :	International Journal of Applied Earth Observation and Geoinformation
Publisher :	Elsevier Science
Volume :	18
Pages :	111-118
Audience :	International
ISSN :	0303-2434
e-ISSN :	1569-8432
City :	Amsterdam
Country :	The Netherlands
Keywords :	[en] Yield estimates ; Regional scale ; Green area index ; Senescence ; Wheat ; MODIS
Abstract :	[en] Earth observation data, owing to their synoptic, timely and repetitive coverage, have been recognized as a valuable tool for crop monitoring at different levels. At the field level, the close correlation between green leaf area (GLA) during maturation and grain yield in wheat revealed that the onset and rate of senescence appeared to be important factors for determining wheat grain yield. Our study sought to explore a simple approach for wheat yield forecasting at the regional level, based on metrics derived from the senescence phase of the green area index (GAI) retrieved from remote sensing data. This study took advantage of recent methodological improvements in which imagery with high revisit frequency but coarse spatial resolution can be exploited to derive crop-specific GAI time series by selecting pixels whose ground-projected instantaneous field of view is dominated by the target crop: winter wheat. A logistic function was used to characterize the GAI senescence phase and derive the metrics of this phase. Four regression-based models involving these metrics (i.e., the maximum GAI value, the senescence date and the thermal time taken to reach 50% of the green surface in the senescent phase) were related to official wheat yield data. The performances of such models at this regional scale showed that final yield could be estimated with an RMSE of 0.57 ton ha−1, representing about 7% as relative RMSE. Such an approach may be considered as a first yield estimate that could be performed in order to provide better integrated yield assessments in operational systems.
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/2268/115721
DOI :	10.1016/j.jag.2012.01.009
Other URL :	http://dx.doi.org/10.1016/j.jag.2012.01.009

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Open access	Pdf_offprint_Kouadio_et_al_2012.pdf		Publisher postprint	1.53 MB	View/Open

All documents in ORBi are protected by a user license.

Dspace v1.5