Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/s18072138 |
Forecasting of Cereal Yields in a Semi-arid Area Using the Simple Algorithm for Yield Estimation (SAFY) Agro-Meteorological Model Combined with Optical SPOT/HRV Images | |
Bellakanji, Aicha Chahbi1,2; Zribi, Mehrez3; Lili-Chabaane, Zohra1; Mougenot, Bernard3 | |
通讯作者 | Zribi, Mehrez |
来源期刊 | SENSORS
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ISSN | 1424-8220 |
出版年 | 2018 |
卷号 | 18期号:7 |
英文摘要 | In semi-arid areas characterized by frequent drought events, there is often a strong need for an operational grain yield forecasting system, to help decision-makers with the planning of annual imports. However, monitoring the crop canopy and production capacity of plants, especially for cereals, can be challenging. In this paper, a new approach to yield estimation by combining data from the Simple Algorithm for Yield estimation (SAFY) agro-meteorological model with optical SPOT/High Visible Resolution (HRV) satellite data is proposed. Grain yields are then statistically estimated as a function of Leaf Area Index (LAI) during the maximum growth period between 25 March and 5 April. The LAI is retrieved from the SAFY model, and calibrated using SPOT/HRV data. This study is based on the analysis of a rich database, which was acquired over a period of two years (2010-2011, 2012-2013) at the Merguellil site in central Tunisia (North Africa) from more than 60 test fields and 20 optical satellite SPOT/HRV images. The validation and calibration of this methodology is presented, on the basis of two subsets of observations derived from the experimental database. Finally, an inversion technique is applied to estimate the overall yield of the entire studied site. |
英文关键词 | yield cereal SAFY optical remote sensing SPOT/HRV |
类型 | Article |
语种 | 英语 |
国家 | Tunisia ; France |
收录类别 | SCI-E |
WOS记录号 | WOS:000441334300160 |
WOS关键词 | REMOTE-SENSING DATA ; SATELLITE MEASUREMENTS ; ATMOSPHERIC CORRECTION ; SOLAR SPECTRUM ; SOIL-MOISTURE ; WHEAT ; GROWTH ; NDVI ; CODE |
WOS类目 | Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation |
WOS研究方向 | Chemistry ; Engineering ; Instruments & Instrumentation |
来源机构 | French National Research Institute for Sustainable Development |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/213156 |
作者单位 | 1.Univ Carthage, LR GREEN TEAM LR17AGR01, INAT, Ave Republ,POB 77, Tunis 1054, Tunisia; 2.ISET Nabeul, Campus Univ Mrezgua, Nabeul 8000, Tunisia; 3.UPS, CNRS, IRD, CESBIO,CNES, 18 Ave Edouard Belin, F-31401 Toulouse 9, France |
推荐引用方式 GB/T 7714 | Bellakanji, Aicha Chahbi,Zribi, Mehrez,Lili-Chabaane, Zohra,et al. Forecasting of Cereal Yields in a Semi-arid Area Using the Simple Algorithm for Yield Estimation (SAFY) Agro-Meteorological Model Combined with Optical SPOT/HRV Images[J]. French National Research Institute for Sustainable Development,2018,18(7). |
APA | Bellakanji, Aicha Chahbi,Zribi, Mehrez,Lili-Chabaane, Zohra,&Mougenot, Bernard.(2018).Forecasting of Cereal Yields in a Semi-arid Area Using the Simple Algorithm for Yield Estimation (SAFY) Agro-Meteorological Model Combined with Optical SPOT/HRV Images.SENSORS,18(7). |
MLA | Bellakanji, Aicha Chahbi,et al."Forecasting of Cereal Yields in a Semi-arid Area Using the Simple Algorithm for Yield Estimation (SAFY) Agro-Meteorological Model Combined with Optical SPOT/HRV Images".SENSORS 18.7(2018). |
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