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Monitoring desertification risk with an index integrating climatic and remotely-sensed data an example from the coastal area of Turkey

机译:通过结合气候和遥感数据的指数监控荒漠化风险,以土耳其沿海地区为例

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摘要

In this paper a desertification risk index (DRI) based on the integration of climatic data and the normalised difference vegetation index (NDVI), obtained from National Oceanic Atmospheric Administration advance very high-resolution radiometer (NOAA-AVHRR) images, is discussed at the light of the aridity index and some eco-physiological parameters. The good correlation between DRI, the aridity index and the eco-physiological parameters suggests that DRI could be useful to measure the desertification risk. One advantage of DRI is that, with the help of a geographic information system (GIS), DRI maps can be easily obtained in short time and at relatively low costs.
机译:在本文中,讨论了基于气候数据和归一化差异植被指数(NDVI)的沙漠化风险指数(DRI),该指数是从美国国家海洋大气管理局高级超高分辨率辐射计(NOAA-AVHRR)图像获得的。根据干旱指数和一些生态生理参数。 DRI,干旱指数和生态生理参数之间的良好相关性表明,DRI可用于测量荒漠化风险。 DRI的一个优势是,借助地理信息系统(GIS),可以在短时间内以相对较低的成本轻松获得DRI地图。

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