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Relationship between landslide creep and vegetation anomalies in remote sensing images

  • role： First author第一作者
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：guoxy@aircas.ac.cn
  • Introduction：郭忻怡，1993年生，女，硕士研究生，研究方向为滑坡与遥感图像处理。E-mail: guoxy@aircas.ac.cn
GUO Xinyi12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

  • Email：guoqing@aircas.ac.cn
  • Introduction：郭擎，1980年生，女，副研究员，研究方向为遥感图像处理与应用，包括图像配准、融合及其滑坡监测应用等。E-mail: guoqing@aircas.ac.cn
GUO Qing1*,  
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

FENG Zhongkui1

resumen

Landslides bring great peril to mountainous areas in China. In recent years, catastrophic high-position landslides often occur after the Wenchuan earthquake. The landslides occurred in the mountains that have high or steep terrain and dense vegetation coverage. A typical case in Xinmocun occurred in Diexi Town, Maoxian County, Sichuan Province on June 24, 2017. Given the characteristics of high position and concealment, this type of landslide is difficult to be detected by GPS, InSAR, and other traditional investigation methods. Certain technologies should be promoted and applied to detect and prevent such high concealed landslides at high positions. The optical remote sensing technology, owning a special capability with large-range, non-contact, periodic coverage, and abundant data, has great potential in making up for the limitations of the above methods, which is of great significance to disaster prevention and mitigation. The creep of landslide causes changes in environmental conditions, such as loosening of rock mass, change in soil nutrient, and uneven distribution of water. Changes in environmental conditions cause vegetation growth to vary. In situ investigation is conducted on the anomaly of vegetation growth before landslide. Therefore, on the basis of vegetation anomaly, this study establishes a new indirect landslide monitoring method to prepare for the study of landslide prediction. This method identifies vegetation anomaly on the landslide body using high-resolution optical remote sensing images, establishes the relationship between the creep of landslides and vegetation anomaly, and analyzes the evolution process of landslide creep at the stage of potential landslides.The Xinmocun landslide, which has high vegetation coverage, is selected as an example for conducting experiments. First, according to the comprehensive interpretation of optical remote sensing images and geological data, the Xinmocun landslide area is divided into upper landslide hazard, middle potential impact, and lower human activity. Second, vegetation coverage in each area is calculated using three-time series optical remote sensing images (June 18, 2014; June 21, 2015; and June 28, 2016) before landslides. Finally, the relationship between vegetation growth status and landslide creep is analyzed and verified using the remote sensing images and geological survey after the landslide.Experiments on high-resolution optical remote sensing images, which were conducted at the same period of three years before the landslide, detected changes in vegetation. In the upper landslide hazard area, the main landslide source and the narrow slump areas above the deformable body were affected by the creep of landslide. Hence, vegetation coverage declined evidently from 2014 to 2016. With the increase of distance from the edge of the bare land, the smaller the effect of landslide creep is, and the better the status of vegetation gradually becomes. With the time of landslide approaching, the greater the effect of landslide creep is, and the worse the status of vegetation in the same position becomes. In the middle potential impact area, the vegetation coverage around the springs and gullies declines with the greater effect of landslide creep as the time of landslide approaches. In the lower human activity area, the variation of vegetation coverage has no obvious regularity because of complex factors.Through experiments of optical remote sensing data, the conclusions are drawn as follows. The status of vegetation in the upper landslide hazard area and the middle potential impact area has significant temporal and spatial correlation with landslide creep. This result reflects the inherent relationship between vegetation growth and the creep of landslides, which can be used to predict the occurrence of landslides.

palabra clave

remote sensing;Xinmocun landslide;regional division;vegetation coverage;vegetation anomaly;landslide monitoring;GPS;InSAR

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