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Application of fuzzy models for the monitoring of ecologically sensitive ecosystems in a dynamic semi-arid landscape from satellite imagery

机译：模糊模型在卫星影像动态半干旱景观生态敏感生态系统监测中的应用

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Purpose - The purpose of this paper is to better understand landscape dynamics in arid and semi-arid environments. Land degradation has recently become an important issue for land management in western China. The oasis ecosystem is especially sensitive to environmental disturbances, such as abnormal/extreme precipitation events, variations in the water supply from the upper watersheds, fluctuations in temperature, etc. Satellite remote sensing of terrestrial ecosystems can provide us with the temporal dynamics and spatial distributions of green cover over large areas of landscape. Seasonal green cover data are especially important in assessing landscape health (e.g. desertification, rate of urban sprawl, natural disturbances) in arid and semi-arid regions. In this study, green cover data are derived from vegetation indices retrieved from moderate resolution imaging spectroradiometer (MODIS) sensors onboard the satellite Terra.rnDesign/methodology/approach - Satellite images recorded during the period from April 2000 to December 2005 are analyzed and the spatial distribution and temporal changes of the Ejin Oasis quantified.rnFindings - This study shows that it is possible to derive important parameters linked to landscape sensitivity from MODIS and the derived imagery, such as normalized difference vegetation index (NDVI) time-series data. Such a MODIS-based time-series monitoring system is particularly useful in arid and semi-arid environments. The results of landscape sensitivity analysis prove the effectiveness of the method in assessing landscape sensitivity from the years 2001-2005.rnPractical implications - The novel strategy used in this investigation is based on the T-S fuzzy model, which is in turn based on fuzzy theory and fuzzy operations.rnOriginality/value - Simulation results based on fuzzy models will help to improve the monitoring techniques used to evaluate land degradation and to estimate the newest tendency in landscape green cover dynamics in the Ejin Oasis.
机译：目的-本文的目的是更好地了解干旱和半干旱环境下的景观动态。土地退化最近已成为中国西部土地管理的重要问题。绿洲生态系统对环境扰动特别敏感，例如异常/极端降水事件，上游流域的供水变化，温度波动等。地面生态系统的卫星遥感可以为我们提供时间动态和空间分布大面积景观的绿色覆盖。季节性绿色覆盖数据对于评估干旱和半干旱地区的景观健康状况（例如沙漠化，城市扩张速度，自然干扰）尤其重要。在这项研究中，绿色覆盖数据来自于从Terra Terran卫星上的中分辨率成像光谱仪（MODIS）传感器获取的植被指数。rnDesign/ methodology / approach-分析了2000年4月至2005年12月期间记录的卫星图像并分析了空间额济纳绿洲的分布和时空变化。rnFindings-这项研究表明，可以从MODIS和衍生的影像中得出与景观敏感性相关的重要参数，例如归一化植被指数（NDVI）时间序列数据。这种基于MODIS的时间序列监视系统在干旱和半干旱环境中特别有用。景观敏感性分析的结果证明了该方法在2001-2005年间评估景观敏感性的有效性。实践意义-本研究中使用的新策略基于TS模糊模型，而TS模糊模型又基于模糊理论和原始性/价值-基于模糊模型的模拟结果将有助于改善用于评估土地退化并评估额济纳绿洲景观绿化动态的最新趋势的监测技术。

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