[1]赵银军,曾兰,何忠,等.基于多源遥感影像的喀斯特地貌景观解译及格局研究[J].水土保持研究,2017,24(04):158-162.
　ZHAO Yinjun,ZENG Lan,HE Zhong,et al.Interpretation and Landscape Pattern of Karst Landform Based on Multi-Source Remote Sensing Images[J].Research of Soil and Water Conservation,2017,24(04):158-162.
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基于多源遥感影像的喀斯特地貌景观解译及格局研究

《水土保持研究》[ISSN:1005-3409/CN:61-1272/P] 卷: 24 期数: 2017年04期 页码: 158-162 栏目: 出版日期: 2017-08-28
Title:
Interpretation and Landscape Pattern of Karst Landform Based on Multi-Source Remote Sensing Images
作者:
赵银军1,2, 曾兰2, 何忠3,4, 梁俏2
1. 广西师范学院 北部湾环境演变与资源利用教育部重点实验室, 南宁 530001;
2. 广西师范学院 地理科学与规划学院, 南宁 530001;
3. 中国科学院 水利部 水土保持研究所, 陕西 杨凌 712100
Author(s):
ZHAO Yinjun1,2, ZENG Lan2, HE Zhong3,4, LIANG Qiao2
1. Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Guangxi Teachers Education University, Ministry of Education, Nanning 530001, China;
2. School of Geography and Planning, Guangxi Teachers Education University, Nanning 530001, China;
3. Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China
关键词:
喀斯特; 解译标志; 高分一号
Keywords:
karst; interpretation keys; GF-1
分类号:
P901;TP79
摘要:
喀斯特景观解译一直是我国遥感影像解译工作的重要内容之一。由于喀斯特地貌本身的复杂性以及其生长环境的相似性，喀斯特地貌解译难度较大。从地理学与景观生态学视角出发，选用高分一号卫星影像和TM影像，辅以DEM和等高线数据，汇总和建立了喀斯特地貌景观分类体系和解译标志，通过目视解译完成喀斯特地貌解译。最后运用GIS和Fragstats软件等技术手段分析了喀斯特景观格局。结果表明：国产高分一号影像数据分辨率较高，因而能够比较准确地辨别不同喀斯特地貌形态，其解译精度优于Landsat TM影像，在地貌解译工作中完全可以用高分一号卫星数据替代TM影像数据；马山喀斯特景观受人类活动影响较小，景观破碎度低，自然性、多样性、异质性、整体性较强，有利于喀斯特景观保护；峰丛是马山县优势景观类型。
Abstract:
Identifying the distribution and patterns of karst landform is fundamental to landform interpretation and subsequent landscape structures analysis. Due to the complexity of landforms and the similarity of their growth environment, it is difficult to understand and interpret karst landform. On the perspective of geography and landscape ecology, we used GF-1 images and TM images supplemented with DEM and contour to build interpretation symbol and classification system. Finally, karst landscape patterns were analyzed combining GIS and Fragstats software. The results shows that: because of the high resolution in GF-1 image, it is more appropriate to differentiate surface morphology with a high accuracy than TM images; less affected by human activities, the karst landform in Mashan County shows low fragmentation and high naturalness, diversity, heterogeneity， integrity, all in favor of karst landscape protection; the peak clusters are dominant landscape types in Mashan County.

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备注/Memo

收稿日期:2016-05-24;改回日期:2016-07-13。
基金项目:国家自然科学基金项目（41461021，41661085）；广西自然科学基金资助项目（2016GXNSFAA380011）

更新日期/Last Update: 1900-01-01