Knowledge Resource Center for Ecological Environment in Arid Area
Spatialisation of a crop model using phenology derived from remote sensing data | |
Duchemin, B; Hadria, R; Rodriguez, JC; Lahrouni, A; Khabba, S; Boulet, G; Mougenot, B; Maisongrande, P; Watts, C | |
通讯作者 | Duchemin, B |
会议名称 | 23rd International Geoscience and Remote Sensing Symposium (IGARSS 2003) |
会议日期 | JUL 21-25, 2003 |
会议地点 | TOULOUSE, FRANCE |
英文摘要 | 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. |
来源出版物 | IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS |
出版年 | 2003 |
页码 | 2200-2202 |
ISBN | 0-7803-7929-2 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | France |
收录类别 | CPCI-S |
WOS记录号 | WOS:000187293500722 |
WOS类目 | Geosciences, Multidisciplinary ; Instruments & Instrumentation ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Geology ; Instruments & Instrumentation ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/294372 |
作者单位 | (1)Ctr Etud Spatiale Biosphere, CESBIO, Toulouse, France |
推荐引用方式 GB/T 7714 | Duchemin, B,Hadria, R,Rodriguez, JC,et al. Spatialisation of a crop model using phenology derived from remote sensing data[C]:IEEE,2003:2200-2202. |
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