首页> 外文会议>Conference on Remotely Sensed Data and Information; 20070525-27; Nanjing(CN) >An approach for desertification monitoring in Hulun Buir grassland of Inner Mongolia, China
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An approach for desertification monitoring in Hulun Buir grassland of Inner Mongolia, China

机译:内蒙古呼伦贝尔草原的荒漠化监测方法

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Hulun Buir represents the best grassland in Inner Mongolia. Due to intensive anthropogenic activities especially unreasonable grazing, desertification has been an important environmental problem in the grassland. In the paper we intend to develop an applicable approach for desertification monitoring in the grassland. Since vegetation is the most essential factor of grassland and desertification actually implies the declination of vegetation in the grassland, an index indication desertification severity has been constructed from vegetation cover fraction. Using MODIS satellite data, we firstly computed NDVI and then computed vegetation cover rate in the grassland. The rate is consequently used to construct the desertification index (DI) for evaluation of desertification severity. Using precipitation and temperature data from 45 points, we validate the capability of DI in representing the severity of actual desertification in the grassland. The general accordance of precipitation and temperature with DI demonstrates the applicability of the proposed approach for desertification in the grassland. Using the approach, we analyzed the changes of desertification in the grassland in recent years. Results showed that desertification process in the grassland are accelerating in recent years, with rate of 1% annually. The acceleration of desertification implies that grassland ecosystem is under evolution of degradation in spite of rapid economic development in the region. Our study suggests that necessary measures should be urgently employed to protect the grassland from further desertification.
机译:呼伦贝尔代表了内蒙古最好的草原。由于密集的人为活动,特别是不合理的放牧,荒漠化已成为草原上的重要环境问题。在本文中,我们打算开发一种适用于草原荒漠化监测的方法。由于植被是草原的最重要因素,而荒漠化实际上意味着草原植被的倾斜,因此从植被覆盖率构建了指示荒漠化严重程度的指标。利用MODIS卫星数据,我们首先计算了NDVI,然后计算了草地的植被覆盖率。因此,该比率用于构建荒漠化指数(DI),以评估荒漠化的严重程度。利用来自45个点的降水和温度数据,我们验证了DI代表草地上实际荒漠化严重程度的能力。利用DI进行降水和温度的总体吻合证明了所提出的草原荒漠化方法的适用性。使用该方法,我们分析了近年来草地荒漠化的变化。结果表明,近年来草地的荒漠化进程正在加速,每年以1%的速度增长。荒漠化的加剧表明,尽管该地区经济快速发展,但草地生态系统正在退化中。我们的研究表明,应紧急采取必要措施保护草原免遭进一步的荒漠化。

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