首页> 外文会议>Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International >Retrieving the crop coefficient spatial distribution for cotton under different growth status with Landsat ETM+ image
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Retrieving the crop coefficient spatial distribution for cotton under different growth status with Landsat ETM+ image

机译:利用Landsat ETM +影像反演不同生长状态下棉花的作物系数空间分布

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Crop water requirement was important in the irrigation scheduling. The crop coefficient is a parameter for estimating crop water requirement by multiplying with the reference crop evapotranspiration. Crop coefficient used to be approximated by crop developing days. The method must have some defect because the crop coefficient is a parameter related to crop status, climate condition and surface albedo. All the factors relating to the crop coefficient are spatially diverse and remote sensing has advantages in obtaining the distributing parameters for vegetation and climate factor. Based on the Penman-Monteith equation, the reference crop evapotranspiration and potential evapotranspiration for cotton under different growth status was estimated with measured meteorological data, then the crop coefficient for cotton was retrieved from a Landsat ETM+ image. And the sensitivity of crop coefficient to the influence factors were analysed. The results showed that the crop coefficient retrieved from the ETM+ image was greater than those suggested by FAO and the crop coefficient was influenced and decided by NDVI that represents crop growth status, while surface albedo that has a very larger variance for the sparse vegetation cover has scarcely any effect on crop coefficient and the climate factors has litter influence on crop coefficient too; with the vegetation cover fraction developing, the climate factor has a much more positive effect on the crop coefficient.
机译:作物需水量在灌溉计划中很重要。作物系数是通过与参考作物蒸散量相乘来估算作物需水量的参数。作物系数过去通常通过作物发育天数来估算。该方法必须存在一些缺陷,因为作物系数是与作物状态,气候条件和地表反照率有关的参数。与作物系数有关的所有因素在空间上都是不同的,遥感在获得植被和气候因素的分布参数方面具有优势。根据Penman-Monteith方程,利用测得的气象数据估算不同生长状态下棉花的参考作物蒸散量和潜在蒸散量,然后从Landsat ETM +图像中检索棉花的作物系数。并分析了作物系数对影响因素的敏感性。结果表明,从ETM +图像中检索到的作物系数大于FAO所建议的系数,并且该作物系数受到代表作物生长状态的NDVI的影响和决定,而稀疏植被覆盖度具有很大差异的地表反照率对作物系数几乎没有影响,气候因素对作物系数也有少量影响;随着植被覆盖率的提高,气候因子对作物系数的影响更大。

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