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Tracking desertification on the Mongolian steppe through NDVI and field-survey data

机译:通过NDVI和野外调查数据跟踪蒙古草原的荒漠化

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摘要

Changing environmental and socio-economic conditions make land degradation, a major concern in Central and East Asia. Globally satellite imagery, particularly Normalized Difference Vegetation Index (NDVI) data, has proved an effective tool for monitoring land cover change. This study examines 33 grassland water points using vegetation field studies and remote sensing techniques to track desertification on the Mongolian plateau. Findings established a significant correlation between same-year field observation (line transects) and NDVI data, enabling an historical land cover perspective to be developed from 1998 to 2006. Results show variable land cover patterns in Mongolia with a 16% decrease in plant density over the time period. Decline in cover identified by NDVI suggests degradation; however, continued annual fluctuation indicates desertification - irreversible land cover change - has not occurred. Further, in situ data documenting greater cover near water points implies livestock overgrazing is not causing degradation at water sources. In combination of the two research methods - remote sensing and field surveys - strengthen findings and provide an effective way to track desertification in dryland regions.
机译:不断变化的环境和社会经济状况使土地退化成为中亚和东亚的一个主要问题。全球卫星图像,特别是归一化植被指数(NDVI)数据,已被证明是监测土地覆盖变化的有效工具。这项研究使用植被田间研究和遥感技术跟踪了蒙古高原的荒漠化,研究了33个草原水位。调查结果确定了当年野外观测(线样线)与NDVI数据之间的显着相关性,从而使1998年至2006年的历史土地覆盖角度得以发展。结果表明,蒙古的土地覆盖格局变化不一,植物密度在16年间下降了16%。时间段。 NDVI确定的覆盖率下降表明性能下降;但是,持续的年度波动表明没有发生荒漠化-不可逆转的土地覆被变化。此外,现场数据记录了水位附近更大的覆盖率,这意味着牲畜过度放牧不会在水源造成退化。结合遥感和田野调查这两种研究方法,可以加强研究结果,并为跟踪干旱地区的荒漠化提供有效途径。

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