吉林大学学报(地球科学版) ›› 2023, Vol. 53 ›› Issue (4): 1301-1312.doi: 10.13278/j.cnki.jjuese.20220239

• 地球探测与信息技术 • 上一篇    下一篇

基于Sentinel-2A的喀斯特石漠化信息提取及成因分析

习靖,姜琦刚,刘骅欣,高鑫   

  1. 吉林大学地球探测与科学学院,长春 130026
  • 收稿日期:2022-08-29 出版日期:2023-07-26 发布日期:2023-08-11
  • 通讯作者: 姜琦刚(1964—),男,教授,博士生导师,主要从事遥感地质方面的研究,E-mail: jiangqigang@jlu.edu.cn
  • 作者简介:习靖(1989—), 男,博士研究生,主要从事生态地质遥感方面的研究,E-mail: xijing17@mails.jlu.edu.cn
  • 基金资助:
    中国地质调查局项目(DD20190536)

Karst Rocky Desertification Mapping and Causes Analysis Based on Sentinel-2A Imagery

Xi Jing, Jiang Qigang, Liu Huaxin, Gao Xin   

  1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China
  • Received:2022-08-29 Online:2023-07-26 Published:2023-08-11
  • Supported by:
    the Project of China Geological Survey (DD20190536) 

摘要: 喀斯特石漠化是中国西南地区严重的生态环境问题。哨兵数据作为Landsat和SPOT(systeme probatoire d’observation de la terre)系列卫星数据的继承和延续,在生态环境监测中具有很好的应用前景。采用传统方式对Sentinel-2A数据进行喀斯特石漠化信息提取,构建20 m分辨率的石漠化指数,将损失Sentinel-2A数据的细节信息。为了更精确地对石漠化信息进行提取,结合Sentinel-2A数据的自身特点,构建了10 m分辨率的石漠化指数,提取了云南省文山州北门河流域的喀斯特石漠化信息并对其地质成因进行分析。通过对4种不同的融合算法进行对比可知,采用à trous小波变换对短波红外波段(B12)进行融合的效果优于高通滤波、主成分分析和Gram-Schmidt变换等融合算法,由该方法构建的10 m归一化微分岩石指数(normalized differential rocky index, NDRI)和岩石裸露率(fr)不仅与20 m分辨率的NDRI和fr保持了较好的相关性(相关系数分别为0.90和0.81),而且能够更好地突出不同地物的特征。结果表明,构建10 m分辨率的NDRI和fr能够更好地对喀斯特石漠化信息进行提取。对北门河流域喀斯特石漠化地质成因分析的结果表明:北门河流域喀斯特石漠化以潜在石漠化和轻度石漠化类型为主,占流域总面积的40.66%、16.97%;流域喀斯特石漠化主要分布于个旧组和板纳组中;在小于25°的坡度范围内,各类喀斯特石漠化分布集中,占喀斯特石漠化总面积的82.71%。

关键词: 喀斯特石漠化信息提取, 影像融合, 指数构建, 成因分析, Sentinel-2A

Abstract: Karst rocky desertification is one of the serious ecological and environmental problems in Southwest China. As the inheritance and continuation of Landsat and SPOT (systeme probatoire d’observation de la terre) series satellite data, Sentinel data has better application prospect in ecological and environmental monitoring. By the traditional method, the Karst rocky desertification mapping extracted from Sentinel-2A is only at 20 m resolution and this method wastes the detailed information. In order to extract the Karst rocky desertification more accurately, this research constructs 10  m resolution rocky desertification index for rocky desertification mapping of Beimen River basin in Wenshan, Yunnan based on the characteristic of Sentinel-2A data and analyzes the geological causes. By comparing four fusion algorithms, à trous wavelet transform has the better effect than high pass filtering, principal component analysis and  Gram-Schmidt transform  in short-wave infrared band (B12). The results show that the 10 m  normalized differential rocky index (NDRI) and rock exposure rate (fr )  have good correlation with 20 m NDRI and fr (the correction coefficients are 0.90 and 0.81, respectively), and they can provide more information of different ground objects. It indicated that the 10 m resolution index of Sentinel-2A has better performance for Karst rocky desertification mapping in this study.  The geological causes analysis of Karst rocky desertification in  Beimen River basin shows that the Karst rocky desertification mainly consists of  potential Karst rocky desertification and light Karst rocky desertification, which account for  40.66% and 16.97% of the total  basin area.  Karst rocky desertification is distributed mostly in the Gejiu  Formation and Banna  Formation. Within slope range of 0°-25°, all types of Karst rocky desertification are concentrated development , accounting  for 82.71% of the total area of Karst rocky desertification. 

Key words: Karst rocky desertification mapping, image fusion, construction indexes, causes analysis;Sentinel-2A

中图分类号: 

  • P237
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