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Land cover in Upper Egypt assessed using regional and global land-cover products derived from MODIS imagery

机译:使用源自MODIS影像的区域和全球土地覆盖产品评估上埃及的土地覆盖

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摘要

Irrigation along the Nile River has resulted in dramatic changes in the biophysical environment of Upper Egypt. In this study we used a combination of Moderate Resolution Imaging Spectroradiometer (MODIS) 250 m Normalized Difference Vegetation Index data and Landsat imagery to identify areas that changed from 2001 to 2008 as a result of irrigation and water-level fluctuations in the Nile River and nearby waterbodies. We used two different methods of time series analysis -principal components analysis (PCA) and harmonic decomposition - applied to the MODIS 250 m Normalized Difference Vegetation Index images to derive simple three-class land-cover maps and then assessed their accuracy using a set of reference polygons derived from 30 m Landsat 5 and 7 imagery. We analysed our MODIS 250 m maps against a new MODIS global land-cover product (MOD 12Q1 collection 5) to assess whether regionally specific mapping approaches are superior to a standard global product. Results showed that the accuracy of the PCA-based product was greater than the accuracy of either the harmonic decomposition or MOD12Q1 products for the years 2001, 2003 and 2008. However, the accuracy of the PCA product was only slightly better than the MOD12Q1 for 2001 and 2003. Overall, the results suggest that our PCA-based approach produces a high level of user and producer accuracies, although the MOD12Q1 product also showed consistently high accuracy. Overlay of 2001-2008 PCA-based maps showed a net increase of 12,129 ha of irrigated vegetation, with the largest increase found from 2006 to 2008 around the districts of Edfu and Kom Ombo. This result was unexpected in light of ambitious government plans to develop 336,000 ha of irrigated agriculture around the Toshka Lakes.
机译:尼罗河沿岸的灌溉导致上埃及的生物物理环境发生了巨大变化。在这项研究中,我们结合使用中分辨率成像光谱仪(MODIS)250 m归一化植被指数数据和Landsat影像,确定了2001年至2008年由于尼罗河及其附近地区灌溉和水位波动而变化的区域水体。我们使用了两种不同的时间序列分析方法-主成分分析(PCA)和谐波分解-应用于MODIS 250 m归一化植被指数图像,以得出简单的三类土地覆盖图,然后使用一组30 m Landsat 5和7影像得出的参考多边形。我们针对新的MODIS全球土地覆盖产品(MOD 12Q1系列5)分析了MODIS 250 m地图,以评估区域特定的测绘方法是否优于标准的全球产品。结果显示,在2001、2003和2008年,基于PCA的产品的精度高于谐波分解或MOD12Q1产品的精度。但是,基于PCA的产品的精度仅比2001年的MOD12Q1好。和2003年。总体而言,结果表明,尽管MOD12Q1产品还显示出始终如一的高精度,但基于PCA的方法仍可为用户和生产商带来很高的准确性。 2001-2008年基于PCA的地图的叠加图显示,灌溉植被净增加了12,129公顷,其中最大的增加是2006年至2008年在Edfu和Kom Ombo地区。鉴于政府雄心勃勃的计划在Toshka湖周围发展336,000公顷的灌溉农业,这一结果是出乎意料的。

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  • 来源
    《Remote sensing letters》 |2012年第2期|p.171-180|共10页
  • 作者单位

    Department of Geography and Regional Studies, University of Miami, Coral Gables, FL 33124-2221, USA;

    Leonard and Jayne Abess Center for Ecosystem Science and Policy, University of Miami, Coral Gables, FL 33124, USA;

    Faculty of Science, Entomology Department, Ain Shams University, Abbassia Square, Cairo 11566, Egypt;

    Leonard and Jayne Abess Center for Ecosystem Science and Policy, University of Miami, Coral Gables, FL 33124, USA,Department of Epidemiology and Public Health, Miller School of Medicine, University of Miami, Miami, FL 33136, USA;

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