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Crop yield prediction from remotely sensed vegetation indices and primary productivity in arid and semi-arid lands

机译：根据遥感植被指数和干旱半干旱地区的初级生产力预测作物产量

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摘要

Global demands for biomass and arable lands are expected to double in the next 35 years. Scarcity of water resources in arid and semi-arid areas poses a serious threat to their agricultural productivity and hence their food security. In this study, we examine whether crop yields can be predicted from remotely sensed vegetation indices and remotely sensed estimates of primary productivity. Spatial relationships between remotely sensed enhanced vegetation index (EVI), net photosynthesis (P-Net), and gross and net primary production (GPP and NPP, respectively) in irrigated semi-arid and arid agro-ecosystems since the beginning of the century are analysed. The conflict-affected country of Syria is selected as the case study. Relationships between EVI and crop yield are investigated in an effort to enhance food production estimates in affected areas outside governmental jurisdictions. Estimates of NPP derived from reported irrigated agriculture crop data in a semi-arid and an arid zone are compared to remotely sensed NPP in a geospatial environment. Results show that winter crop yields are correlated with spring GPP in semi-arid zones of the study area (R-2 = 0.85). Summer crop yield can be predicted from either cumulative summer EVI (R-2 = 0.77) or PNet in most zones. Where fully irrigated fields are surrounded by hyper-arid landscape, summer P-Net was negative in all instances and EVI was inversely correlated with yield. NPP from crops was much higher (290 gC m(-2) year(-1)) in those regions than MOD17 NPP (70 gC m(-2)), where 1.0 g of carbon is equivalent to 2.2 g of oven-dry organic matter (= 45% carbon by weight). The gap was less in semi-arid zones (2-39% difference). Overall crop-derived NPP for the period 2000-2013 was 322 versus 300 gC m(-2) for that remotely sensed within the cropped zones of the political units. The results of this study are crucial to derive accurate estimates of irrigated agriculture productivity and to study the effect of the latter on net ecosystem carbon storage.
机译：未来35年，全球对生物质和耕地的需求预计将翻倍。干旱和半干旱地区的水资源短缺严重威胁着其农业生产力，从而对其粮食安全构成威胁。在这项研究中，我们研究了是否可以通过遥感植被指数和基本生产力的遥感估算来预测农作物的产量。自本世纪初以来，灌溉的半干旱和干旱农业生态系统中的遥感增强植被指数（EVI），净光合作用（P-Net）以及总初级生产力和净初级生产力（分别为GPP和NPP）之间的空间关系为分析。选择受冲突影响的叙利亚国家作为案例研究。对EVI和作物产量之间的关系进行了调查，以期提高政府管辖范围以外受影响地区的粮食产量估计。从半干旱和干旱地区的已报告灌溉农业作物数据得出的NPP估计值与地理空间环境中的遥感NPP进行了比较。结果表明，在研究区域的半干旱地区，冬季作物的产量与春季GPP相关（R-2 = 0.85）。夏季作物单产可以通过大多数地区的夏季累积EVI（R-2 = 0.77）或PNet来预测。在完全灌溉的田地被高干旱景观包围的地方，夏季P-Net在所有情况下均为负值，而EVI与产量成反比。这些地区的农作物NPP（290 gC m（-2）年（-1））远高于MOD17 NPP（70 gC m（-2）），其中1.0 g碳等于2.2 g烘干的碳有机物（= 45％的碳）。半干旱地区的差距较小（差异为2-39％）。 2000-2013年间，作物衍生的NPP总量为322，而政治单位的作物种植区内的遥感值为300 gC m（-2）。这项研究的结果对于得出灌溉农业生产力的准确估算以及研究后者对生态系统净碳储量的影响至关重要。

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  • 来源
    《International journal of remote sensing》 |2015年第18期|4570-4589|共20页
  • 作者

    Jaafar Hadi H.; Ahmad Farah A.;

  • 作者单位

    Amer Univ Beirut, Fac Agr & Food Sci, Dept Agr, Beirut 110236, Lebanon.;

    Amer Univ Beirut, Fac Agr & Food Sci, Dept Agr, Beirut 110236, Lebanon.;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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