黄健熙, 李荔, 张超, 郧文聚, 杨建宇, 朱德海. 基于遥感蒸散发数据的耕地灌溉保证能力评价方法[J]. 农业工程学报, 2015, 31(5): 100-106. DOI: 10.3969/j.issn.1002-6819.2015.05.015
    引用本文: 黄健熙, 李荔, 张超, 郧文聚, 杨建宇, 朱德海. 基于遥感蒸散发数据的耕地灌溉保证能力评价方法[J]. 农业工程学报, 2015, 31(5): 100-106. DOI: 10.3969/j.issn.1002-6819.2015.05.015
    Huang Jianxi, Li Li, Zhang Chao, Yun Wenju, Yang Jianyu, Zhu Dehai. Evaluation of cultivated land irrigation guarantee capability based on remote sensing evapotranspiration data[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(5): 100-106. DOI: 10.3969/j.issn.1002-6819.2015.05.015
    Citation: Huang Jianxi, Li Li, Zhang Chao, Yun Wenju, Yang Jianyu, Zhu Dehai. Evaluation of cultivated land irrigation guarantee capability based on remote sensing evapotranspiration data[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2015, 31(5): 100-106. DOI: 10.3969/j.issn.1002-6819.2015.05.015

    基于遥感蒸散发数据的耕地灌溉保证能力评价方法

    Evaluation of cultivated land irrigation guarantee capability based on remote sensing evapotranspiration data

    • 摘要: 灌溉保证能力是耕地质量的重要方面,为了提高区域耕地质量监测信息的获取效率,该文构建了一种基于遥感蒸散发的耕地灌溉保证能力评价方法。以MODIS蒸散发产品(MOD16)为数据基础,在水量平衡原理的基础上,利用降雨量、MOD16A2产品中的实际蒸散发参量,计算年度有效灌溉量;利用地面气象站点计算的参考作物需水量和MOD16A2月合成产品中潜在蒸散发参量,建立回归方程,得到空间连续的参考作物需水量;采用作物系数法结合区域作物类型分布图计算年度作物需水量,并在此基础进一步计算年度灌溉需水量;将有效灌溉量与灌溉需水量之间的比值作为灌溉保证能力评价的基础,利用多年的灌溉保证能力评价指标,监测和评价耕地灌溉保证能力。以河北省衡水市为研究区,开展了试验验证,结果表明,耕地灌溉保证能力综合评价结果与2012年补充完善后农用地分等成果中灌溉保证率的分级结果相比,除了在空间整体分布上具有较好的一致性外,级差小于1级的栅格单元达到75%以上。该文构建的灌溉保证能力评价指标物理意义明确、可获取性强,评价方法能够满足区域耕地质量监测与评价的应用需求。

       

      Abstract: Abstract: The enhancement of cultivated land quality is an important measure to improve the production capability and ensure the food safety. At the construction course of cultivated land quality informatization, novel methods and techniques are promising to improve the current working pattern as well as raise the efficiency of cultivated land quality management. Irrigation guarantee capability is an important element of cultivated land quality monitoring, evaluation and construction. Evapotranspiration (ET) derived from remote sensing can be used for rapid monitoring of irrigation guarantee capability of cultivated land at the regional scale. In order to improve the acquisition efficiency of the regional cultivated land quality monitoring, a new evaluation method was proposed for irrigation capability evaluation of cultivated land based on Moderate Resolution Imaging Spectroradiometer (MODIS) ET products. First, in order to reduce the representative errors of meteorological data, the relationship between the monthly potential evapotranspiration (PET) parameter derived from MODIS evaporation products and the reference crop evapotranspiration (ET0) calculated from observed meteorological data with the Penman-Monteith (P-M) formula was analyzed. The continuous ET0 in space was obtained from the regression model. And then, water requirements for crop were obtained by the map of crop type from the classification of Landsat TM data and space-continuous ET0. Furthermore, the annual water requirement was calculated according to the difference of the water requirement for crop and the rainfall which was effectively consumed by crop. Additionally, based on the regional water balance principle, the actual quantity of irrigation was obtained from the difference of actual evaporation derived from ET products of MODIS and effective rainfall. The evaluation index of irrigation guarantee capability is defined as the ratio of the annual irrigation requirement and the actual quantity of irrigation, and used for the monitoring and evaluation of cultivated land irrigation guarantee capability. Finally, application and analysis were conducted in Hengshui City, Hebei Province, China. The R2 of the regression model between the PET and ET0 from meteorological stations reached 0.89. And the calculated results of the evaluation index of irrigation guarantee capability from 2005 to 2012 accurately reflected temporal-spatial variations for the cultivated land irrigation capability. Meanwhile, the comprehensive evaluation of irrigation capability, which was from the supervised classification results based on actual survey, had a good agreement with the classification results of irrigation probability in the gradation on agriculture land quality which had been updated in 2012. The area with no grade difference was up to 37% of the total cells, 38% of the study area had one-grade difference, and the area with two-grade difference was 19% of the study area. The area with three-grade difference only accounted for 6%. The grade difference of more than 75% of the cultivated land was less than one grade. Errors were mainly concentrated in the cultivated land around the city, because the MOD16A2 product with 1-km resolution was inadequate to accurately represent the information of that complex planting structure of cultivated land, and this problem would be solved with the development and improvement of remote sensing earth observation systems with higher resolution. The evaluation index of irrigation capability proposed in this paper has the advantage of clear physical meaning and easy data accessing. The experiment results indicate that the method can meet the needs of the regional cultivated land quality monitoring and evaluation.

       

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