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Cropland production potential monitoring using long-term crop dynamics

机译:利用长期作物动态监测农田生产潜力

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With the increasing food demand for agricultural products and climate change pressures, the production of agricultural ecosystem performs more and more important to achieve the goal of sustainable development. The aim of this paper is to evaluate cropland production potential integrating cultivation patterns and types discrimination based on long-term crop dynamics using remote sensing approaches. First, crop cultivation patterns and types are identified using long-term vegetation dynamics information. Then the results are introduced into the models of cropland production potential estimation. Considering the influence of radiation, temperature, precipitation and soil conditions on crop growth for various crop types in different regions, the cropland potential production is estimated step by step. And finally show the results of four kinds of potential productivity: light, light-temperature, climatic and cropland potential productivity.
机译:随着农产品对粮食需求的增长和气候变化的压力,农业生态系统的生产对于实现可持续发展的目标越来越重要。本文的目的是利用遥感方法,基于长期作物动态,结合耕作模式和类型鉴别来评估农田生产潜力。首先,利用长期的植被动态信息确定作物的种植方式和类型。然后将结果引入耕地生产潜力估算模型。考虑到辐射,温度,降水和土壤条件对不同地区不同作物类型的作物生长的影响,逐步估算了农田潜在产量。最后显示了四种潜在生产力的结果:光,光温,气候和农田潜在生产力。

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