Arid
DOI10.3390/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
ISSN1424-8220
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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