滇池周边典型城镇地表覆盖分类遥感分析研究

胡琳; 甘淑; 费联君; 于辉; 彭锐; 冯宇; 吴阳

doi:10.13442/j.gnss.1008-9268.2018.05.009

滇池周边典型城镇地表覆盖分类遥感分析研究

doi: 10.13442/j.gnss.1008-9268.2018.05.009

1.
昆明理工大学国土资源工程学院,云南昆明 650093
2.
云南省高校高原山地空间信息测绘技术应用工程研究中心,云南昆明 650093
3.
云南省遥感中心,云南昆明 650034
4.
云南工程职业学院,云南昆明 650304

详细信息

作者简介:
甘淑(1964-),女,教授,博士生导师,主要从事资源环境管理及3S技术应用领域研究工作.

通信作者:
甘淑 E-mail：bo5200909@163.com

计量
- 文章访问数: 342
- HTML全文浏览量: 71
- PDF下载量: 120
- 被引次数: 0
出版历程
- 刊出日期: 2018-10-15

Remote Sensing Analysis of Surface Coverage of Typical Urban Areas around Dianchi Lake

1.
School of Land and Resources Engineering, Kunming University of Science and Technology, Kunming 650093,China
2.
Yunnan Institute of Engineering Research and Application of Plateau Mountain Spatial Information Surveying and Mapping Technology, Kunming 650093,China
3.
Institute of Remote Sensing,Kunming 650034,China
4.
Engineering Vocational College, Kunming 650304,China

摘要

摘要: 滇池作为滇中最大高原湖泊,其水环境保护及水污染治理工作至关重要. 针对滇池周边典型城镇地表覆盖变化,发挥遥感探测技术先进性,快速了解污染源,并实时监测滇池污染治理工程进展,为及时优化治理方案提供数据支撑具有重大意义. 选取滇池周边晋宁区典型城镇为研究区,基于Landsat8影像利用遥感提取地表覆盖分类信息,运用混淆矩阵对比了最大似然法和目视解译的分类提取精度. 可知Landsat8影像通过目视解译可以快速、高效地提取城镇地表覆盖分类信息,也适用于滇池流域昆明市区、呈贡区等城镇,为滇池流域治理保护的宏观动态监测提供技术支持,为滇池流域城镇的发展、规划和治理提供决策信息.
- 地表覆盖 /
- 最大似然法 /
- 目视解译 /
- 精度分析 /
- 滇池
Abstract: As the largest plateau lake in Yunnan province, Dianchi Lake plays an important role in water environment protection and pollution control. For surface coverage change of typical towns around Dianchi Lake, there are some things which have great significant for providing data support for timely optimization control scheme, such as remote sensing detection technology, quick understanding of pollution sources, and realtime monitoring of Dianchi Lake pollution. Selecting an typical town Jinning as research area, which is around Dianchi Lake, and based on Landsat8 to remote sensing image of surface coverage classification information extraction, use confusion matrix compared with maximum likelihood method and visual interpretation for classification accuracy. From this article, we can know that Landsat8 image can be quick and efficient extraction of urban surface cover classification information through visual interpretation. Landsat8 also can ve applied to Kunming and Chenggong, both of them are in Dianchi Lake watershed. This article prouioles technical support of management of Dianchi Lake watershed protection of macroscopic dynamic monitoring,amd also provides decisionmaking information for planning and management evelopment of the town in Dianchi Lake watershed.
- Surface coverage /
- maximum likelihood method /
- visual interpretation /
- precision analysis /
- Dianchi Lake

HTML全文

参考文献(17)

[1]	陈军,陈晋,廖安平，等.全球30m地表覆盖遥感制图的总体技术［J］.测绘学报,2014(6):551-557.
[2]	甘淑,张军,张佩芳.澜沧江流域山区土地覆盖多级遥感分类方法研究［J］.地理学报,1999(S1):133-138.
[3]	孔冷进.高分辨率遥感技术在数字城市规划中的应用［J］.全球定位系统,2015,40(1):91-93.
[4]	胡勇,刘良云,PETER CACCETTA等.光谱特征扩展的时间序列Landsat数据地表覆盖分类［J］.遥感学报,2015(04):648-656.
[5]	DEMIREL N, Düzgün Ş, Emil M K. Landuse change detection in a surface coal mine area using multi-temporal high-resolution satellite images[J].International Journal of Mining, Reclamation and Environment, 2011,25(4).
[6]	AKBARI D, HOMAYOUNI S, SAFARI A, et al. Mapping urban land cover based on spatialspectral classification of hyperspectral remotesensing data［J］.International Journal of Remote Sensing, 2016,37(2)：440-454.
[7]	徐涵秋,唐菲.新一代Landsat系列卫星:Landsat 8遥感影像新增特征及其生态环境意义［J］.生态学报,2013(11):3249-3257
[8]	王林,白洪伟.基于遥感技术的湖泊水质参数反演研究综述［J］.全球定位系统,2013,38(1):57-61.
[9]	张勇,吉雅.济南市遥感影像的水体信息提取方法研究［J］.全球定位系统,2011,36(6):54-57.
[10]	WANG L, CAO X, CHEN J. ISVR: An improved synthetic variable ratio method for image fusion［J］.Geocarto International, 2008,23(2)：155-165.
[11]	KHOSRAVI M R, SHARIF-YAZD M, MOGHIMI M K,et al. MRF-Based Multispectral Image Fusion Using an Adaptive Approach Based on Edge-Guided Interpolation［J］.Journal of Geographic Information System, 2017,9(2)：114-125.
[12]	滕晓波,陈春花.3S技术在土地利用动态监测中的应用［J］.全球定位系统,2010,35(3):38-41.
[13]	SAMEEN, NAHHAS, BURAIHI,et al. A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT2 imagery for landuse and landcover mapping in a tropical area［J］.International Journal of Remote Sensing, 2016,37(10)：2358-2375.
[14]	汪权方,李家永,陈百明.基于地表覆盖物光谱特征的土地覆被分类系统——以鄱阳湖流域为例［J］.地理学报,2006(4):359-368.
[15]	刘勇,洪牛铮,王长耀.基于MODIS数据的决策树分类方法研究与应用［J］.遥感学报, 2005(4):405-412.
[16]	TANG Q, WANG L, LI B,et al. Towards a comprehensive evaluation of V-I-S sub-pixel fractions and land surface temperature for urban land-use classification in the USA［J］.International Journal of Remote Sensing, 2012,33(19)：5996-6019.
[17]	Loyola-González O, Martínez-Trinidad J F, CARRASCO-OCHOA J A, et al. Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases[J].Neurocomputing, 2016,(175):933-947.