Spatialisation of a Crop Model using Phenology derived from Remote Sensing Data

B. Duchemin; R. Hadria; J. C. Rodriguez; A. Lahrouni; S. Khabba; G. Boulet; B. Mougenot; P. Maisongrande; C. Watts

Spatialisation of a Crop Model using Phenology derived from Remote Sensing Data

B. Duchemin, R. Hadria, J. C. Rodriguez, A. Lahrouni, S. Khabba, G. Boulet, B. Mougenot, P. Maisongrande, C. Watts

Departamento de Agricultura y Ganadería

Research output: Contribution to conference › Paper

9 Scopus citations

Abstract

The SUD-MED project aims at monitoring water resources over Mediterranean semi-arid regions. As part of the project, this paper presents a method we developed for the monitoring of cereal evapotranspiration and water supply. The method is based on the STICS crop model. The model is first calibrated and evaluated at field scale from an experiment that has taken place in the Yaqui Valley (Mexico). The performance of the model was found satisfactory on this semi-arid area. The calibration procedure is then applied using eight images acquired by the SPOT-5/HRVIR sensor during the 2001/2002 agricultural season. The test site is located in the Haouz plain surrounding Marrakech (Morocco). The time series of satellite data allows to furnish some key-parameters of the STICS model. The map of seasonal evapotranspiration appears consistent with the drought observed during the 2001/2002 agricultural season.

Original language	American English
Pages	2200-2202
Number of pages	3
State	Published - 24 Nov 2003
Event	International Geoscience and Remote Sensing Symposium (IGARSS) - Duration: 24 Nov 2003 → …

Conference

Conference	International Geoscience and Remote Sensing Symposium (IGARSS)
Period	24/11/03 → …

Access to Document

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0242541784&origin=inward

Cite this

Duchemin, B., Hadria, R., Rodriguez, J. C., Lahrouni, A., Khabba, S., Boulet, G., Mougenot, B., Maisongrande, P., & Watts, C. (2003). Spatialisation of a Crop Model using Phenology derived from Remote Sensing Data. 2200-2202. Paper presented at International Geoscience and Remote Sensing Symposium (IGARSS). https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0242541784&origin=inward

@conference{6ff78f01f1cb47688afa7ea55c1b6cb1,

title = "Spatialisation of a Crop Model using Phenology derived from Remote Sensing Data",

abstract = "The SUD-MED project aims at monitoring water resources over Mediterranean semi-arid regions. As part of the project, this paper presents a method we developed for the monitoring of cereal evapotranspiration and water supply. The method is based on the STICS crop model. The model is first calibrated and evaluated at field scale from an experiment that has taken place in the Yaqui Valley (Mexico). The performance of the model was found satisfactory on this semi-arid area. The calibration procedure is then applied using eight images acquired by the SPOT-5/HRVIR sensor during the 2001/2002 agricultural season. The test site is located in the Haouz plain surrounding Marrakech (Morocco). The time series of satellite data allows to furnish some key-parameters of the STICS model. The map of seasonal evapotranspiration appears consistent with the drought observed during the 2001/2002 agricultural season.",

author = "B. Duchemin and R. Hadria and Rodriguez, {J. C.} and A. Lahrouni and S. Khabba and G. Boulet and B. Mougenot and P. Maisongrande and C. Watts",

year = "2003",

month = nov,

day = "24",

language = "American English",

pages = "2200--2202",

note = "International Geoscience and Remote Sensing Symposium (IGARSS) ; Conference date: 24-11-2003",

}

Duchemin, B, Hadria, R, Rodriguez, JC, Lahrouni, A, Khabba, S, Boulet, G, Mougenot, B, Maisongrande, P & Watts, C 2003, 'Spatialisation of a Crop Model using Phenology derived from Remote Sensing Data', Paper presented at International Geoscience and Remote Sensing Symposium (IGARSS), 24/11/03 pp. 2200-2202. <https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0242541784&origin=inward>

TY - CONF

T1 - Spatialisation of a Crop Model using Phenology derived from Remote Sensing Data

AU - Duchemin, B.

AU - Hadria, R.

AU - Rodriguez, J. C.

AU - Lahrouni, A.

AU - Khabba, S.

AU - Boulet, G.

AU - Mougenot, B.

AU - Maisongrande, P.

AU - Watts, C.

PY - 2003/11/24

Y1 - 2003/11/24

N2 - The SUD-MED project aims at monitoring water resources over Mediterranean semi-arid regions. As part of the project, this paper presents a method we developed for the monitoring of cereal evapotranspiration and water supply. The method is based on the STICS crop model. The model is first calibrated and evaluated at field scale from an experiment that has taken place in the Yaqui Valley (Mexico). The performance of the model was found satisfactory on this semi-arid area. The calibration procedure is then applied using eight images acquired by the SPOT-5/HRVIR sensor during the 2001/2002 agricultural season. The test site is located in the Haouz plain surrounding Marrakech (Morocco). The time series of satellite data allows to furnish some key-parameters of the STICS model. The map of seasonal evapotranspiration appears consistent with the drought observed during the 2001/2002 agricultural season.

AB - The SUD-MED project aims at monitoring water resources over Mediterranean semi-arid regions. As part of the project, this paper presents a method we developed for the monitoring of cereal evapotranspiration and water supply. The method is based on the STICS crop model. The model is first calibrated and evaluated at field scale from an experiment that has taken place in the Yaqui Valley (Mexico). The performance of the model was found satisfactory on this semi-arid area. The calibration procedure is then applied using eight images acquired by the SPOT-5/HRVIR sensor during the 2001/2002 agricultural season. The test site is located in the Haouz plain surrounding Marrakech (Morocco). The time series of satellite data allows to furnish some key-parameters of the STICS model. The map of seasonal evapotranspiration appears consistent with the drought observed during the 2001/2002 agricultural season.

M3 - Paper

SP - 2200

EP - 2202

T2 - International Geoscience and Remote Sensing Symposium (IGARSS)

Y2 - 24 November 2003

ER -

Spatialisation of a Crop Model using Phenology derived from Remote Sensing Data

Abstract

Conference

Access to Document

Fingerprint

Cite this