刘勇洪, 叶彩华, 王克武, 周继华, 高燕虎. RS和GIS技术支持下的北京地区土壤墒情预报技术[J]. 农业工程学报, 2008, 24(9): 155-160.
    引用本文: 刘勇洪, 叶彩华, 王克武, 周继华, 高燕虎. RS和GIS技术支持下的北京地区土壤墒情预报技术[J]. 农业工程学报, 2008, 24(9): 155-160.
    Liu Yonghong, Ye Caihua, Wang Kewu, Zhou Jihua, Gao Yanhu. Soil moisture prediction technique in Beijing supported by RS and GIS techniques[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(9): 155-160.
    Citation: Liu Yonghong, Ye Caihua, Wang Kewu, Zhou Jihua, Gao Yanhu. Soil moisture prediction technique in Beijing supported by RS and GIS techniques[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(9): 155-160.

    RS和GIS技术支持下的北京地区土壤墒情预报技术

    Soil moisture prediction technique in Beijing supported by RS and GIS techniques

    • 摘要: 提出了一种新的土壤墒情预报思路,依据未来一段时间里的气象要素预报因子,应用农田土壤水分平衡原理、双作物系数法与Priestley—Taylor模型,在对模型参数的本地化订正基础之上,对未来时段里的土壤水分变化状况进行动态预测,并引入RS和GIS空间技术,获取预报时的北京地区植被类型、反照率、植被覆盖度、土壤质地等重要预报模型参数,初步实现了北京地区空间范围内的土壤墒情可视化预报。

       

      Abstract: A new soil moisture prediction approach is developed . Based on meteorology elements prediction in a period of future days and prediction model parameters of localization revision, crop-soil water balance principle and dual crop coefficient approach and Priestley-Taylor model are applied for dynamic soil moisture prediction in future days. RS and GIS techniques are also introduced in model prediction for getting currently important parameters such as vegetation types, albedo, vegetation cover and soil texture in Beijing space. With RS and GIS techniques, soil moisture visualization forecast for Beijing can be visually implemented.

       

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