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首页> 外文期刊>International Journal of Geomatics and Geosciences >Capacity survey of Nagarjuna Sagar reservoir, India using Linear Mixture Model (LMM) approach
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Capacity survey of Nagarjuna Sagar reservoir, India using Linear Mixture Model (LMM) approach

机译：使用线性混合模型（LMM）方法进行印度Nagarjuna Sagar水库的产能调查

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Satellite data has long been in use to estimate the water-spread area at different water levels of a reservoir. Traditional approaches such as maximum likelihood classification and band threshold method involve the per-pixel approach to delineate the water-spread area of a reservoir. One of the limitations of the per-pixel approach is that the pixels representing reservoir border, containing water with soil and vegetation, are also classified as water pixels, thereby giving inaccurate estimate of the water-spread area. To compute the water-spread area accurately, the sub-pixel or linear mixture model (LMM) approach has been adopted in this study. IRS-1C and 1D satellite image data (24m) of eight optimal dates ranging from minimum draw down level (MDDL) to full reservoir level (FRL) were used to estimate the water-spread area of the reservoir. The extracted water-spread areas using sub-pixel approach was in turn used to quantify the capacity of the Nagarjuna Sagar reservoir for the water year 2002. The estimated capacity of the reservoir using sub-pixel approach was 8014.49 Mm3.
机译：长期以来一直使用卫星数据来估算水库不同水位处的水扩散面积。诸如最大似然分类和频带阈值方法之类的传统方法涉及逐像素方法来描绘水库的水扩散区域。每像素方法的局限性之一是，代表水库边界的像素（包含有土壤和植被的水）也被归类为水像素，因此对水扩散面积的估算不准确。为了准确地计算出水扩散面积，本研究采用了亚像素或线性混合模型（LMM）方法。 IRS-1C和一维卫星图像数据（24m）是八个最佳日期的数据，范围从最小汲水位（MDDL）到满水库水位（FRL），用于估算水库的水扩散面积。反过来，使用亚像素方法提取的水扩散区域用于量化2002年水年Nagarjuna Sagar水库的容量。使用亚像素方法估计的水库容量为8014.49 Mm3。

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