首页> 外文学位 >Estimating evapotranspiration using remote sensing: A hybrid approach between MODIS derived enhanced vegetation index, Bowen ratio system, and ground based micro-meteorological data.
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Estimating evapotranspiration using remote sensing: A hybrid approach between MODIS derived enhanced vegetation index, Bowen ratio system, and ground based micro-meteorological data.

机译:使用遥感估算蒸散量:MODIS得出的增强植被指数,Bowen比率系统和基于地面的微气象数据之间的混合方法。

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摘要

We investigated water loss by evapotranspiration (ET) from the Palo Verde Irrigation District (PVID) and the Cibola National Wildlife Refuge (CNWR) in southern California bordering the Colorado River collaborating with the United States Bureau of Reclamation (U.S.B.R.). We developed an empirical model to estimate ET for the entire PVID using satellite derived MODIS enhanced vegetation index (EVI), and ground based measurements of solar radiation and vapor pressure. We compared our predictions with U.S.B.R. estimates through statistical cross validation and showed they agree with an error less than 8%. We tested the same model for an alfalfa field inside PVID to check its applicability at a smaller spatial scale. We showed that the same model developed for PVID is the best model for estimating ET for the alfalfa field. We collected data from three Bowen ratio energy balance (BREB) towers installed in the invasive saltcedar (Tamarix spp) dominated riparian zone in the CNWR and a fourth tower in the alfalfa field in PVID. The riparian sites were selected according to different densities of vegetation. We collected data from these sites at various intervals during the period between June 2006 to November 2008. We reduced the errors associated with the Bowen ratio data using statistical procedures taking into account occasional instrument failures and problems inherent in the BREB method. Our results were consistent with vegetation density and estimates from MODIS EVI images. To estimate ET for larger patches of mixed vegetation we modified the crop coefficient equation and represented it in terms of EVI. Using this approach, we scaled the alfalfa field data to the entire PVID and compared the results with U.S.B.R. (2001-2007) estimates. We predicted ET well within the acceptable range established in the literature. We empirically developed ET models for the riparian tower sites to provide accurate point scale ET estimation and scaled for the entire riparian region in CNWR with our modified crop coefficient approach. We investigated the assumptions upon which the Bowen ratio equation is developed. In the presence of turbulence some of the assumptions may not be valid, and the final data may require correction factors.
机译:我们与美国垦殖局(U.S.B.R.)合作,调查了与科罗拉多河接壤的加利福尼亚州南部的帕洛佛得角灌区(PVID)和西伯拉国家野生动物保护区(CNWR)的蒸散水(ET)。我们使用卫星衍生的MODIS增强植被指数(EVI)以及基于地面的太阳辐射和蒸气压测量值,开发了一个经验模型来估算整个PVID的ET。我们将我们的预测与U.S.B.R.通过统计交叉验证进行估算,并表明他们同意误差小于8%。我们对PVID内的苜蓿田地测试了相同的模型,以检查其在较小空间范围内的适用性。我们表明,为PVID开发的同一模型是估算苜蓿田ET的最佳模型。我们从安装在CNWR侵入性盐柏(Tamarix spp)为主的河岸带中的三座Bowen比能量平衡(BREB)塔和PVID苜蓿田中的第四座塔收集了数据。根据不同的植被密度选择河岸地区。我们在2006年6月至2008年11月的各个时间间隔从这些站点收集了数据。考虑到偶尔的仪器故障和BREB方法固有的问题,我们使用统计程序减少了与Bowen比率数据相关的误差。我们的结果与植被密度和来自MODIS EVI图像的估计一致。为了估计较大的混合植被斑块的ET,我们修改了作物系数方程,并用EVI表示。使用这种方法,我们将苜蓿田间数据缩放到整个PVID,并将结果与​​U.S.B.R. (2001-2007)估算。我们预测ET会在文献中确定的可接受范围内。我们根据经验开发了河岸塔站点的ET模型,以提供准确的点规模ET估算,并使用改进的作物系数方法对CNWR的整个河岸地区进行了尺度化。我们调查了Bowen比率方程式开发的假设。在存在湍流的情况下,某些假设可能无效,并且最终数据可能需要校正因子。

著录项

  • 作者

    Chatterjee, Sumantra.;

  • 作者单位

    Wright State University.;

  • 授予单位 Wright State University.;
  • 学科 Meteorology.;Remote Sensing.;Environmental Sciences.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 192 p.
  • 总页数 192
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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