首页> 外文会议>Sentinel-3 OLCI/SLSTR and MERIS/(A)ATSR workshop >ESTIMATION OF FODDER PRODUCTION IN SAHELIAN RANGELANDS (GOURMA, MALI) USING ENVISAT/MERIS OBSERVATIONS
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ESTIMATION OF FODDER PRODUCTION IN SAHELIAN RANGELANDS (GOURMA, MALI) USING ENVISAT/MERIS OBSERVATIONS

机译:利用ENVISAT / MERIS观测值估算撒哈拉山脉地区(古马尔,马里)的饲料产量

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摘要

Many studies on the intercomparison of satelliternbiophysical products such as LAI, FAPAR and FCoverrnhave been recently performed [1, 5, 9] but only a fewrndeal with quantitative assessment of annual fodderrnproduction in semi-arid regions. However, this variablernis essential to monitor drought impact on grazing and tornassess livestock potential production and forecastrnpastoral risks [8].rnThe objectives of this study are to investigate thernpotentialities of ENVISAT/MERIS observations tornestimate herbage production in Sahelian rangelandsrnthrough direct comparison of field measurements withrnsatellite indices. To this end, in situ measurementsrncarried out at the AMMA-CATCH Observatory site inrnthe Gourma region, Mali [10] during the 2007-2011rnperiod are used to evaluate indices derived from:rnENVISAT/MERIS. A comparison with Terra/AquarnMODIS data is also performed.rnDestructive measurements of herbaceous standing massrnwere carried out during growing seasons in 26 sitesrnalong 1km long transects following a stratified randomrnsampling technique [6]. Sites are located on differentrnsoil types which colour differently influences the scenernreflectance. Field estimates are then directly comparedrnto times series of satellite indices and biophysicalrnproducts over the whole growing season from June tornSeptember. Relationships are sought between herbagernproduction and satellite indices. Finally, time series ofrnfodder maps are generated using the best relationships.
机译:最近对LAI,FAPAR和FCoverrn等卫星生物物理产品的比对进行了许多研究[1、5、9],但对半干旱地区年饲料产量进行定量评估的交易很少。然而,该变量对于监测干旱对放牧和龙卷风牲畜潜在产量和预测牧场风险的影响是必不可少的[8]。本研究的目的是通过直接比较实地测量值与卫星指标来调查ENVISAT / MERIS观测值对萨赫勒牧场中草食性牧草生产的潜力。 。为此,在2007年至2011年期间,在马里古尔玛地区AMMA-CATCH天文台进行的原位测量[10]用于评估源自ENVISAT / MERIS的指标。还使用了分层随机采样技术[26],在生长季节中,对26个站点中长1km长的样点进行了草本立地质量的破坏性测量[6]。场地位于不同的土壤类型上,颜色会不同地影响场景的反射率。然后将实地估计值直接与6月至9月整个生长季的卫星指数和生物物理产物的时间序列进行比较。在herbagernproduction和卫星索引之间寻求关系。最后,使用最佳关系生成了饲料地图的时间序列。

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    Géosciences Environnement Toulouse (GET) Observatoire Midi-Pyrénées, Université de Toulouse, CNRS, IRD 14 avenue Edouard Belin, 31401 Toulouse, France Yves.Auda@get.obs-mip.fr;

    Géosciences Environnement Toulouse (GET) Observatoire Midi-Pyrénées, Université de Toulouse, CNRS, IRD 14 avenue Edouard Belin, 31401 Toulouse, France;

    Géosciences Environnement Toulouse (GET) Observatoire Midi-Pyrénées, Université de Toulouse, CNRS, IRD 14 avenue Edouard Belin, 31401 Toulouse, France;

    Géosciences Environnement Toulouse (GET) Observatoire Midi-Pyrénées, Université de Toulouse, CNRS, IRD 14 avenue Edouard Belin, 31401 Toulouse, France;

    Centre IRD Quartier Hippodrome B.P. 2528 Bamako, Mali;

    Géosciences Environnement Toulouse (GET) Observatoire Midi-Pyrénées, Université de Toulouse, CNRS, IRD 14 avenue Edouard Belin, 31401 Toulouse, France;

    Géosciences Environnement Toulouse (GET) Observatoire Midi-Pyrénées, Université de Toulouse, CNRS, IRD 14 avenue Edouard Belin, 31401 Toulouse, France;

    Géosciences Environnement Toulouse (GET) Observatoire Midi-Pyrénées, Université de Toulouse, CNRS, IRD 14 avenue Edouard Belin, 31401 Toulouse, France;

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