Characteristics of GF images and application in eco-environmental monitoring in Taihu Lake

doi:10.3969/j.issn.1000-2006.2016.06.010

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2016, Vol. 40 ›› Issue (06): 63-68.doi: 10.3969/j.issn.1000-2006.2016.06.010

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Characteristics of GF images and application in eco-environmental monitoring in Taihu Lake

SHI Hao¹, SHEN Wenjuan², LI Yang^3*, LI Xuwen¹, NIU Zhichun¹, WANG Tiantian¹

1. Jiangsu Province Environmental Monitoring Center, Nanjing 210036, China;
2.College of Forestry, Nanjing Forestry University, Nanjing 210037, China;
3.Key Laboratory of VGE, Ministry of Education, Nanjing Normal University, Nanjing 210023, China

Online:2016-12-18 Published:2016-12-18

Abstract

Abstract: GF series are the firstly developed satellites of Chinese important project for high-resolution earth observation system, which mark that our country civil remote sensing satellites have reach the submeter level. In order to apply GF data, this paper analyzed and discussed the characteristics of GF images and their eco-environmental significance based on GF-1 and GF-2 multispectral images in the north of Lake Taihu. The results show that:① The analysis result of GF-1 and GF-2 images after atmospheric correction had a good consistency, including the statistics of basic characteristics,PCA analysis and correlation analysis, which could be used for combination observations. Undoubtedly, its launch and operation could make significant contributions to the monitoring of eco-environmental changes.②By comparing information like original bands, NDVI, NDWI, PCA and so on, GF satellites were highly sensitive to forest land, water area, and construction land. However, low spectral resolution affected its ability to distinguish the water bloom and terrestrial vegetation.

CLC Number:

S757.2
X87

SHI Hao, SHEN Wenjuan, LI Yang, LI Xuwen, NIU Zhichun, WANG Tiantian. Characteristics of GF images and application in eco-environmental monitoring in Taihu Lake[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2016, 40(06): 63-68.

References

[1] Li J, Chen X L, Tian L Q, et al. Improved capabilities of the Chinese high-resolution remote sensing satellite GF-1 for monitoring suspended particulate matter(SPM)in inland waters: Radiometric and spatial considerations[J].ISPRS Journal of Photogrammetry and Remote Sensing,2015,106:145-156. Doi: 10.1016/j.isprsjprs.2015.05.009
[2] 李增元, 高志海, 李凡,等, 高分林业遥感应用示范系统的建设与应用[J]. 卫星应用,2015(3):25-30. Li Z Y, Gao Z H, Li F, et al. The construction and application of demo system in high resolution forestry remote sensing[J]. Satellite Application, 2015(5):25-30.
[3] 赵少华, 王桥, 杨一鹏. 高分一号卫星环境遥感监测应用示范研究[J]. 卫星应用, 2015(3):37-40. Zhao S H, Wang Q, Zhou D M. The research of application demonstration in environmental remote sensing monitoring by GF-1 satellite[J]. Satellite Application, 2015(3):37-40.
[4] 梁文秀, 李俊生, 周德民,等. 面向内陆水环境监测的GF-1卫星WFV数据特征评价[J]. 遥感技术与应用,2015,30(4):810-818. Doi:10.11873/j.issn.1004-0323.2015.4.0810. Liang W X, Li J S, Zhou D M, et al. Evaluation of GF-1 WFV characteristics in monitoring inland water environment[J]. Remote Sensing Technology and Application, 2015,30(4):810-818.
[5] 陈金凤, 程乾. 高分1号融合光谱特征提取杭州湾河口沿岸湿地典型植被信息方法研究[J]. 杭州师范大学学报(自然科学版), 2015,14(1):38-43. Doi:10.3969/j.issn.1674-232X.2015.01.007. Chen J F, Cheng Q. Research on the extraction method of typical vegetation information in Hangzhou Bay wetlands by Gaofen-1[J]. Journal of Hangzhou Normal University(Natural Science Edition),2015,14(1):38-43.
[6] 潘腾, 关晖, 贺玮.“高分二号”卫星遥感技术[J]. 航天返回与遥感, 2015,36(4):16-24. Doi:10.3969/j.issn.1009-8518.2015.04.003. Pan T, Guan H, He W.GF-2 satellite remote sensing technology[J]. Spacecraft Recovery & Remote Sensing, 2015,36(4):16-24.
[7] 田锋, 秦丽柏. 太湖湿地资源及湿地生态问题与对策[J]. 人民长江, 2005,36(11):63-64. Doi:10.3969/j.issn.1001-4179.2005.11.024. Tian F, Qin L B. Wetland resources,ecological problems and countermeasures in Taihu[J].Yangtze River, 2005,36(11):63-64.
[8] 侍昊, 薛建辉, 马婉丽. 1991—2006年无锡市土地利用变化动态度及转换参数分析[J]. 南京林业大学学报(自然科学版), 2012,36(6):63-68.Doi:10.3969/j.issn.1000-2006.2012.06.012. Shi H, Xue J H, Ma W L. Analysis on dynamic degree and transition parameters of land-use type changes in Wuxi City,Jiangsu during 1991-2006[J]. Journal of Nanjing Forestry University(Natural Sciences Edition), 2012,36(6):63-68.
[9] 黄世存, 吴海平, 王奇.“高分一号”卫星PMS图像几何定位精度验证[J]. 航天返回与遥感,2014,35(5):81-87. Doi:10.3969/j.issn.1009-8518.2014.05.011. Huang S C, Wu H P, Wang Q.Validation of positioning accuracy of GF-1 PMS images[J]. Spacecraft Recovery & Remote Sensing, 2014,35(5):81-87.
[10] 吴培强,张杰,马毅. 高分一号卫星影像海岸带区域定位精度评价[J]. 海洋测绘,2015,35(4):63-66. DOI:10.3969/j.issn.1671-3044.2015.04.016. Wu P Q, Zhang J, Ma Y.Positioning precision evaluation of GF-1 in the coastal zone[J]. Hydrographic Surveying and Charting.
[11] 张浩, 葛小青, 冯旭祥. Landsat 8 影像像元地理坐标计算[J]. 遥感信息,2013,28(5): 52-58. Doi:10.3969/j.issn.1000-3177.2013.05.010. Zhang H, Ge X Q, Feng X X. Calculation of Landsat 8 image pixel geodetic coordinates[J]. Remote Sensing Information,2013,28(5): 52-58.
[12] Zhao D, Jiang H, Yang T, et al. Remote sensing of aquatic vegetation distribution in Taihu Lake using an improved classification tree with modified thresholds[J]. Journal of Environmental Management, 2012,95(1): 98-107. Doi:10.1016/j.jenvman.2011.10.007.
[13] 贾树海, 韩志根, 吕默楠, 等. 基于决策树的辽宁省北部沙漠化信息提取研究[J].生态环境学报, 2011,20(1):13-18. Doi:10.3969/j.issn.1674-5906.2011.01.003. Jia S H, Han Z G, Lv M N. et al.Extraction of desertification information based on decision tree in northern Liaoning Province[J]. Ecology and Environmental Sciences, 2011,20(1):13-18.
[14] 王俊松, 杨逢乐, 贺彬, 等. 利用 QuickBird 影像提取城市不透水率的研究[J]. 遥感信息,2008, 23(3):69-73. Doi:10.3969/j.issn.1000-3177.2008.03.014. Wang J S, Yang F L, He B, et al. Study on reducing shadow impact in the extraction impervious surface coverage of urban based on QuickBird image[J]. Remote Sensing Information,2008,3:69-73.
[15] 韩昌元. 近代高分辨地球成像商业卫星[J]. 中国光学与应用光学, 2010, 3(3):201-208. Doi:10.3969/j.issn.2095-1531.2010.03.001. Han C Y. Recent earth imaging commercial satellites with high resolutions[J]. Chinese Journal of Optics and Applied Optics.2010,3(3):201-208.
[16] Pu R, Landry S. A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species[J]. Remote Sensing of Environment, 2012, 124:516-533. Doi:10.1016/j.rse.2012.06.011.
[17] 刘海娟, 张婷, 侍昊, 等. 基于RF模型的高分辨率遥感影像分类评价[J]. 南京林业大学学报(自然科学版), 2015, 39(1): 99-103. Doi:10.3969/j.issn.1000-2006.2015.01.018. Liu H J, Zhang T, Shi H, et al. Classification evaluation on high resolution remote sensing image based on RF[J]. Journal of Nanjing Forestry University(Natural Sciences Edition), 2015, 39(1): 99-103.

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Characteristics of GF images and application in eco-environmental monitoring in Taihu Lake

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