摘要
针对基于遥感影像进行黄土滑坡提取的最佳波段组合研究较少的问题,为排除波段间冗余信息的干扰,提高滑坡提取的精度。研究以山西省滑坡高发区柳林县Landsat-8 OLI和Sentinel-2A遥感影像为主要数据源,开展了黄土高原滑坡提取的最佳波段选择研究。通过单波段标准差、多波段光谱特征、最佳指数因子和地物光谱曲线特征分析,确定波段组合7-5-2 (Landsat-8 OLI)、12-8-4 (Sentinel-2A)为最适合研究区进行滑坡提取的最佳波段组合。研究区滑坡主要分布在交通主干线“三大线–柳结线”两旁,人类工程活动对滑坡频发的贡献度较大。
There are few researches on the optimal band combination for Loess Plateau Landslide extraction based on remote sensing images. In order to eliminate the interference of redundant information between bands and improve the accuracy of landslide extraction, Landsat-8 OLI and Sentinel-2A remote sensing images from Liulin County, a high landslide incidence area in Shanxi Province, are used as the main data sources to study the optimal band selection for landslide extraction on the Loess Plateau. Through single-band and multi-band spectral feature analysis, the OIF and the feature of ground object spectral curve, band combinations 7-5-2 (Landsat-8 OLI) and 12-8-4 (Sentinel-2A) are determined to be the best band combinations most suitable for landslide extraction in the study area. The landslides in the study area are mainly distributed on both sides of the traffic trunk line “Three major lines - Liujie line”, and human engineering activities contribute a lot to the frequent occurrence of landslides.
出处
《地球科学前沿（汉斯）》
2021年第9期1158-1168,共11页
Advances in Geosciences
