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Water for Food Production - Opportunities for Sustainable Land-Water Management using Remote Sensing

机译:粮食生产用水-利用遥感进行可持续土地水管理的机会

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Adaptation to global climate and environmental change in the context of the water-food nexus will require both understanding the nature of change of freshwater resources (e.g. where does precipitation fall, and how much there is?), and the engineering of regional strategies to manage water harvesting and water use (natural storage in aquifers and in the critical soil zone, and manmade alternatives including land-use/land-cover manipulation such as rainfed agriculture), leading to maximal resilience. In a world of increasing population, achieving and maintaining food security is a fundamental challenge for human development in the 21st century. Food security and sustainable agriculture go hand-in hand. The basis for sustainable agriculture is hydroecological resilience, which implies the Integrated Management of Land and Water Resources ("a land-use decision is a water decision", Malin Falkenmark 2001). IMLWR requires systematic monitoring of the pathways by which joint space-time organization patterns of landform, precipitation, recharge (groundwater), distribution and storage (runoff) interact, and ultimately impact the so-called "green water" stocks critical for crop production (i.e. soil moisture in the unsaturated zone that is directly available to meet vegetation photosynthetic needs). IMLWR is ideally suited for a remote-sensing based monitoring and analysis framework. Here, an interpretive study is presented using a wide variety of remote sensing data (clouds, rainfall, and vegetation) from multiple satellite platforms to assess the condition of freshwater stocks (rainfall) and hydroecological resilience in NW India, specifically the state of Punjab.
机译:在水-食物关系的背景下适应全球气候和环境变化,既需要了解淡水资源变化的性质(例如,降水量在哪里下降,又有多少下降?),还需要制定区域战略来管理集水和用水(自然存储在含水层和关键土壤区域,以及人为选择,包括土地利用/土地覆盖管理,如雨养农业),可最大程度地提高抵御能力。在人口不断增长的世界中,实现和维护粮食安全是21世纪人类发展的根本挑战。粮食安全与可持续农业齐头并进。可持续农业的基础是水生态恢复力,这意味着土地和水资源的综合管理(“土地使用决定是水的决定”,Malin Falkenmark 2001)。 IMLWR要求系统地监测各种路径的交互作用,这些路径通过时空的地貌,降水,补给(地下水),分配和存储(径流)的联合组织模式相互作用,并最终影响到对作物生产至关重要的所谓“绿水”种群即非饱和区的土壤水分可直接用于满足植被的光合作用需求。 IMLWR非常适合基于遥感的监视和分析框架。在这里,我们使用来自多个卫星平台的多种遥感数据(云,降雨和植被)来进行解释性研究,以评估印度西北部(尤其是旁遮普邦)的淡水蓄积状况(降雨)和水生态适应力。

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