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Evaluation of desertified delta plant communities using spectral indexes and landscape transformation models

机译:使用光谱索引和景观变换模型评估荒漠化三角洲植物群落

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The work concerns the application of spectral indexes (NDVI, SAVI and other types of spectral indexes) for monitoring and evaluation of the plant communities of desertified Amudarya river delta plant communities. The described approach includes the multi-level spatial model of the landscape transformation with desertification, soil erosion, soil salinity increasing, climatic changes to improve the adequacy of the remote sensing methods for complicated and non-stable post-deltaic ecosystems of the Aral Sea region. The key role of the geomorphological and pedological analysis for the spatial model implementation had been shown. Some geostatistical techniques had been used to link general data on vegetation cover calculated from remote sensing information with the type of the plant community, with consequent clarification of the vegetation map using both succession-based model approaches and field data.
机译:该工作涉及光谱指标(NDVI,SAVI等类型的光谱指标)的应用,用于监测和评估荒漠化的Amudarya河三角洲植物群落的植物群落。 所描述的方法包括景观转化的多级空间模型,利用荒漠化,土壤侵蚀,土壤盐度提高,气候变化,提高了野生海域复杂和非稳定的临时生态系统的遥感方法的充分性 。 显示了对空间模型实施的地貌和小学分析的关键作用。 一些地统计学技术已被用于将植被覆盖的一般数据链接到与植物群群的类型计算的植被覆盖物,从而使用基于继承的模型方法和现场数据阐明了植被图。

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