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首页> 外文期刊>Proceedings of the International Academy of Ecology and Environmental Sciences >Multi-temporal Landsat image classification and change analysis of land cover/use in the Prefecture of Thessaloiniki, Greece
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Multi-temporal Landsat image classification and change analysis of land cover/use in the Prefecture of Thessaloiniki, Greece

机译:希腊塞萨洛尼基州的多时相Landsat影像分类和土地覆盖/利用变化分析

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This paper describes the methodology and results of classifications of multi-temporal Landsat TM/ETM+ data of the Prefecture of Thessaloniki, Macedonia Greece for the years 1986, 1999 and 2008. Nine different land cover/use categories have been used, named coniferous, broadleaves and mixed forest, agriculture lands, rangelands, grasslands, water bodies, urban areas and others uses. The overall classification accuracies were 85% for the three years, and the change detection accuracy was 88-91%. One of the most important results for the classifications is the fluctuation of the areas of the water bodies, mainly of the lakes, the decrease of the grasslands areas and the increase of forests, agricultural lands and rangelands. The results are being used to project future analyze landscape diversity and fragmentation, and examine different scenarios for more ecological management. The classifications have provided an economical and accurate way to quantify, map and analyze changes over time in land cover.
机译:本文介绍了1986、1999和2008年希腊马其顿塞萨洛尼基县的多时相Landsat TM / ETM +数据的分类方法和结果。已使用了9种不同的土地覆盖/利用类别,分别是针叶,阔叶以及混合森林,农业用地,牧场,草地,水体,市区等用途。三年中总体分类准确度为85%,变化检测准确度为88-91%。分类的最重要结果之一是水体(主要是湖泊)面积的波动,草地面积的减少以及森林,农业用地和牧场的增加。结果被用于预测未来的景观多样性和破碎化分析,并检查不同的方案以进行更多的生态管理。这些分类提供了一种经济,准确的方法来量化,绘制和分析土地覆盖物随时间的变化。

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