| China Geological Survey Chinese Academy of Geological Sciences | Host |
| 科学出版社 | Publish |
| Citation: |
XIU Liancun, ZHENG Zhizhong, YANG Bin, YIN Liang, GAO Yang, JIANG Yuehua, HUANG Yan, ZHOU Quanping, SHI Jianlong, DONG Jinxin, CHEN Chunxia, LIANG Sen, YU Zhengkui. 2021. Application of airborne hyperspectral imaging technology to the ecological environment protection of Jiangsu, Anhui and Zhejiang Provinces at Yangtze River Economic Belt[J]. Geology in China, 48(5): 1334-1356. doi: 10.12029/gc20210502
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Application of airborne hyperspectral imaging technology to the ecological environment protection of Jiangsu, Anhui and Zhejiang Provinces at Yangtze River Economic Belt
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Abstract
Airborne hyperspectral imaging is a fast and non-destructive detection technology, which has the characteristics of high spectral resolution, narrow and multiple bands and combination of spectrum and images. Domestic miniaturized airborne hyperspectral imagers mainly rely on importing, which are expensive. Moreover, it is difficult to import high-performance hyperspectral equipment, which restricts the promotion and popularization of hyperspectral technology in China. With the support of the national major instrument development project and the national key research and development plan, Nanjing Center for China Geological Survey successfully developed the light airborne hyperspectral imaging system SSMap with the push-broom miniaturized imaging spectrometer HMS400/1000 as the core components, and established the airborne hyperspectral remote sensing comprehensive survey technology methods and operation process, as well as formed a set of reliable ground object classification methods and spectrum quantitative inversion models of water and soil pollution. Based on the introduction of the basic principle of airborne hyperspectral imaging technology and the analysis of research status at home and abroad, taking the self-developed airborne hyperspectral imaging system SSMap as an example, combined with the requirements of the ecological environment in the Yangtze River Economic Belt, the operation methods, information extraction and investigation application of aerial hyperspectral remote sensing covering an area of 4500 km2 are discussed in detail. Through the demonstration of eco-environmental geological survey in Jiangsu, Anhui, Zhejiang and other regions of the Yangtze River Economic Belt, high quality airborne remote sensing data has been obtained, and a number of important survey results have been obtained. The results show that airborne hyperspectral imaging technology has broad application prospects in ecological environment investigation, water monitoring, land use and land quality evaluation. The home-made airborne hyperspectral imager with independent intellectual property rights reduces the procurement cost, promotes the popularization of airborne hyperspectral technology, serves the national major regional development strategy, and has significant economic and social benefits.
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References
Berger B R, V V King T, Morath L C. 2003. Utility of high-altitude infrared spectral data in mineral exploration: Application to northern Patagonia Mountains, Arizona[J]. Economic Geology, 98(5): 1003-1018. doi: 10.2113/gsecongeo.98.5.1003 Ben-dor E, Goldshleger N, Braun O, Kindel B, Goetz A F H., Bonfil D, Margalit N, Binaymini Y, Karnieli A, Agassi M. 2004. Monitoring infiltration rates in semiarid soils using airborne hyperspectral technology[J]. International Journal of Remote Sensing, 25(13): 2607-2624. doi: 10.1080/01431160310001642322 Bierwirth P, Huston D, Blewett R. 2002. Hyperspectral mapping of mineral assemblages associated with gold mineralization in the central Pilbara[J]. Western Australia Economic Geology, 97: 819-826. doi: 10.2113/gsecongeo.97.4.819 Cai Xiang, Li Qi, Luo Yan, Qi Jiandong. 2021. Surface features extraction of mining area image based on object-oriented and deep-learning method[J]. Remote Sensing for Land & Resources, 33(1): 63-71(in Chinese with English abstract). Cui Qi, Wang Jie, Wang Min. 2018. Water extraction from high-resolution remote sensing imagery based on vector data constraint and object-based image analysis[J]. Remote Sensing Information, 33(4): 115-121(in Chinese with English abstract). Gan Lu, Wang Suming, Liu Fei, Huo Zhibin. 2010. Development of real-time monitoring and management system for analytical data quality control in groundwater pollution survey[J]. Rock and Mineral Analysis, 29(5): 571-574(in Chinese with English abstract). Gan Puping. 2004. Research on the Foundation and Technical Methods of Remote Sensing Rock and Mineral Information Extraction[M]. Beijing: Geological Publishing House, (3): 2-10(in Chinese). Jiang Yuehua, Lin Liangjun, Chen Lide, Ni Huayong, Ge Weiya, Cheng Hangxin, Zhai Gangyi, Wang Guiling, Ban Yizhong, Li Yuan, Lei Mingtang, Tan Chengxuan, Su Jingwen, Zhou Quanping, Zhang Taili, Yun Li, Liu Hongying, Ke Peng, Wang Hanmei. 2018. An overview of the resources and environment conditions and major geological problems in the Yangtze River economic zone, China[J]. China Geology, 1(2): 435-449. Jing Pingping, Li Bin, Jia Zongren. 2017. Research on information extraction based on UAV remote Sensing[J]. Geomatics & Spatial Information Technology, 40(12): 77-80(in Chinese with English abstract). Li Xinxing, Guo Wei, Bai Xuebing, Yang Mingsong. 2021. Review on the application of spectroscopy technology in aquatic product quality detection[J]. Spectroscopy and Spectral Analysis, 41(5): 1343-1349(in Chinese with English abstract). Li Zhizhong, Yang Rehong, Dang Fuxing. 2009. The hyperspectral remote sensing technology and its application[J]. Geological Bulletin of China, 28(2/3): 270-277(in Chinese with English abstract). Luo Daihong, Wu Shuqi, Wu Xiaojun, Gan Lu. 2004. The general information system for geological reference materials and standard methods[J]. Rock and Mineral Analysis, (3): 216-220 (in Chinese with English abstract). Moamen S Refat, Amnah M, Alsuhaibani, Mohamed Nagaty. 2021. Infrared Spectroscopy and Morphological Assessments on the Nutritional Value of Prickly Pear Fruit[J]. Spectroscopy and Spectral Analysis, 41(2): 648-653. Sun Jiabo, Zhang Xiaoyan, Niu Luyan. 2018. Farmland information extraction method based on high-resolution remotely-sensed images[J]. Shandong Agricultural Sciences, 50(3): 132-136, 141(in Chinese with English abstract). Su Longfei, Li Zhenxuan, Gao Fei, Yu Min. 2021. A review of remote sensing image water extraction[J]. Remote Sensing for Land & Resources, 33(1): 9-11(in Chinese with English abstract). Sun Yu, Zhao Yingjun, Li Hanbo. 2015. HySpex hyperspectral mineral mapping of Asiha gold ore district in Dulan County, Qinghai Province and its prospecting implications[J]. Acta Geologica Sinica, 89(1): 195-203(in Chinese with English abstract). Wang Denghong, Zhao Zhi, Yu Yang, Dai Jingjing, Deng Maochun, Zhao Ting, Liu Lijun. 2018. Exploration and research progress on ion-adsorption type REE deposit in South China[J]. China Geology, 1(4): 415-424. Wang Ruijun, Zhang Chunlei, Sun Yongbin, Wang Shen, Dong Shuangfa, Wang Yongjun, Yan Bokun. 2020. Application of hyperspectral spectroscopy to constructing polymetallic prospecting model in Hongshan, Gansu Province[J]. Remote Sensing for Land & Resources, 32(3): 222-231(in Chinese with English abstract). Wang Runsheng, Gan Fuping, Yan Bokun, Yang Suming, Wang Qinghua. 2010. Hyperspectral mineral map-ping and its application[J]. Remote Sensing for Land & Resources, 22(1): 1-13(in Chinese with English abstract). Wang Runsheng, Xiong Shengqing, Nie Hongfeng, Liang Shuneng, Yang Jinzhong, Yan Bokun, Zhao Fuyue, Fan Jinghui, Tong Liqiang, Lin Jian, Gan Fuping, Chen Wei, Yang Suming, Zhang Ruijiang, Ge Daqing, Zhang Xiaokun, Zhang Zhenhua, Wang Pinqing, Guo Xiaofang, Li Li. 2011. Remote sensing technology and its application in geological exploration[J]. Acta Geologica Sinica, 85(11): 1699-1743(in Chinese with English abstract). Wei Guihua, Xiao Liang, Zheng Zhizhong. 2019. Automatic focusing of push-broom hyperspectral camera[J]. Optics and Precision Engineering, 27(2): 185-192(in Chinese with English abstract). Wu Nengyou, Chang Lingliu, Hao Xiluo. 2018. Experimental simulations and methods for natural gas hydrate analysis in China[J]. China Geology, 1(1): 61-71. doi: 10.31035/cg2018008 Wu Zhonghai, Zhou Chunjing, Huang Xiaolong, Zhao Genmo, Tan Chengxuan. 2020. Main active faults and seismic activity along the Yangtze River Economic Belt: Based on remote sensing geological survey[J]. China Geology, 3(2): 314-338. Xiu Liancun, Zheng Zhizhong, Yu Zhengkui. 2009. Study on method of measuring altered minerals in rocks with near-infrared spectrometer[J]. Rock and Mineral Analysis, 28(6): 519-523(in Chinese with English abstract). Xiu Liancun, Zheng Zhizhong, Yu Zhengkui, Huang Junjie, Yin Liang, Wang Mijian, Zhang Qiuning, Huang Bin, Chen Chunxia, Xiu Tiejun, Lu Shuai. 2007. Mineral analysis technology application with near infrared spectroscopy in identifying alteration mineral[J]. Acta Geologica Sinica, 81(11): 1584-1590(in Chinese with English abstract). Yang Sirui, Xue Zhaohui, Zhang Ling. 2018. Fusion of hyperspectral and LiDAR data: A case study for refined crop classification in agricultural region of Zhangye Oasis in the middle reaches of Heihe River[J]. Remote Sensing for Land and Resources, 30(4): 33-40(in Chinese with English abstract). Zhang Z G, Wang R S. 2000. Development and application of imaging spectral remote sensing technology based on spectroscopy[J]. Remote Sensing of Land &Resources, 12(3): 16-37(in Chinese with English abstract). Zheng Zhizhong, Yang Zhong, Xiu Liancun, Dong Jinxin, Chen Chunxia, Gao Yang, Yu Zhengkui. 2017. Design of a SWIR offner imaging spectrometer[J]. Spectroscopy and Spectral Analysis, 37(7): 2267-2272(in Chinese with English abstract). Zheng Zhizhong, Yang Zhong, Xiu Liancun. 2020. Development and application of shortwave infrared convex blazed grating with high diffraction efficiency[J]. Acta Optica Sinica, 40(12): 53-61(in Chinese). Zheng Zhizhong, Yang Zhong, Qin Yuantian, Wang Liguo. 2020. Structure analysis and experiment of an offner-type short-wave infrared imaging spectrometer[J]. Laser & Optoelectronics Progress, 57(5): 246-255(in Chinese). Zheng Zhizhong, Yang Zhong, Xiu Liancun. 2020. A lock-in amplifier applied to the measurement of weak spectral signals[J]. Modern Scientific Instruments, (2): 5-10(in Chinese with English abstract). 蔡祥, 李琦, 罗言, 齐建东. 2021. 面向对象结合深度学习方法的矿区地物提取[J]. 国土资源遥感, 33(1): 63-71. 崔齐, 王杰, 汪闽. 2018. 矢量约束的面向对象高分遥感影像水体提取[J]. 遥感信息, 33(4): 115-121. doi: 10.3969/j.issn.1000-3177.2018.04.017 甘露, 王苏明, 刘菲, 霍志斌. 2010. 地下水污染调查样品测试质量远程实时监控管理系统开发[J]. 岩矿测试, 29(5): 571-574. doi: 10.3969/j.issn.0254-5357.2010.05.019 甘甫平. 2004. 遥感岩矿信息提取基础与技术方法研究[M]. 北京: 地质出版社, (3): 2-10. 荆平平, 李兵, 贾宗仁. 2017. 基于无人机遥感的信息提取研究[J]. 测绘与空间地理信息, 40(12): 77-80. doi: 10.3969/j.issn.1672-5867.2017.12.019 李鑫星, 郭渭, 白雪冰, 杨铭松. 2021. 光谱技术在水产品品质检测中的应用研究进展[J]. 光谱学与光谱分析, 41(5): 1343-1349. 李志忠, 杨日红, 党福星. 2009. 高光谱遥感卫星技术及其地质应用[J]. 地质通报, 28(2/3): 270-277. 罗代洪, 吴淑琪, 吴晓军, 甘露. 2004. 地质调查通用标准物质及标准方法信息系统[J]. 岩矿测试, 3: 216-220. doi: 10.3969/j.issn.0254-5357.2004.03.013 苏龙飞, 李振轩, 高飞, 余敏. 2021. 遥感影像水体提取研究综述[J]. 国土资源遥感, 33(1): 9-11. 孙家波, 张晓艳, 牛鲁燕. 2018. 基于高分辨率遥感影像的耕地信息快速提取方法研究[J]. 山东农业科学, 50(3): 132-136, 141. 孙雨, 赵英俊, 李瀚波. 2015. 青海省都兰县阿斯哈金矿区HySpex高光谱矿物填图及其找矿意义[J]. 地质学报, 89(1): 195-203. 王瑞军, 张春雷, 孙永彬, 王诜, 董双发, 王永军, 闫柏琨. 2020. 高光谱在甘肃红山多金属找矿模型构建中的应用[J]. 国土资源遥感, 32(3): 222-231. 王润生, 甘甫平, 闫柏琨. 2010. 高光谱矿物填图技术与应用研究[J]. 国土资源遥感, 22(1): 1-13. 王润生, 熊盛青, 聂洪峰. 2011. 遥感地质勘查技术与应用研究[J]. 地质学报, 85(11): 1699-1743. 魏桂华, 肖亮, 郑志忠. 2019. 推扫式高光谱相机自动调焦[J]. 光学精密工程, 27(02): 185-192. 修连存, 郑志忠, 俞正奎. 2009. 近红外光谱仪测定岩石中蚀变矿物方法研究[J]. 岩矿测试, 28(6): 519-523. doi: 10.3969/j.issn.0254-5357.2009.06.004 修连存, 郑志忠, 俞正奎, 黄俊杰, 殷靓, 王弥建, 张秋宁, 黄宾, 陈春霞, 修铁军, 陆帅. 2007. 近红外光谱分析技术在蚀变矿物鉴定中的应用[J]. 地质学报, 81(11): 1584-1590 doi: 10.3321/j.issn:0001-5717.2007.11.013 杨思睿, 薛朝辉, 张玲. 2018. 高光谱与LiDAR数据融合研究——以黑河中游张掖绿洲农业区精细作物分类为例[J]. 国土资源遥感, 30(4): 33-40. 张宗贵, 王润生. 2000. 基于谱学的成像光谱遥感技术发展与应用[J]. 国土资源遥感, 12(3): 16-37. doi: 10.3969/j.issn.1001-070X.2000.03.003 郑志忠, 杨忠, 修连存, 董金鑫, 陈春霞, 高扬, 俞正奎. 2017. 一种Offner型小型短波红外成像光谱仪[J]. 光谱学与光谱分析, 37(7): 2267-2272. 郑志忠, 杨忠, 修连存. 2020a. 高衍射效率短波红外凸面闪耀光栅的研制与应用[J]. 光学学报, 40(12): 53-61. 郑志忠, 杨忠, 秦远田, 王立国. 2020b. Offner型短波红外成像光谱仪的结构分析与实验[J]. 激光与光电子学进展, 57(5): 246-255. 郑志忠, 杨忠, 修连存. 2020c. 一种应用于弱光谱信号测量的锁相放大器[J]. 现代科学仪器, (2): 5-10. -
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XIU Liancun, ZHENG Zhizhong, YANG Bin, YIN Liang, GAO Yang, JIANG Yuehua, HUANG Yan, ZHOU Quanping, SHI Jianlong, DONG Jinxin, CHEN Chunxia, LIANG Sen, YU Zhengkui. 2021. Application of airborne hyperspectral imaging technology to the ecological environment protection of Jiangsu, Anhui and Zhejiang Provinces at Yangtze River Economic Belt[J]. Geology in China, 48(5): 1334-1356. doi: 10.12029/gc20210502
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Figure 1.
Spectra data of VNIR(a) and SWIR(b)
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Figure 2.
Visible-near-infrared and short-wave infrared imaging spectrometer
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Figure 3.
The composition of the manned vehicle system (a) and the composition of the UAV system (b)
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Figure 4.
Helicopter (a) transport aircraft (b) fixed-wing UAV (c) and rotor UAV (d) flying platform
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Figure 5.
The installation of the manned vehicle system (a) and the UAV system (b)
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Figure 6.
Spectrum curves of several typical ground features
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Figure 7.
The integrating sphere diagram
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Figure 8.
Visible data radiometric calibration results
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Figure 9.
Radiometric calibration results of short-wave infrared data
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Figure 10.
Comparison of locust tree reflectance and ASD data
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Figure 11.
Diagram of IMU/GPS flight path
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Figure 12.
Flow chart of hyperspectral remote sensing image classification based on PCA and SVM
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Figure 13.
Planning of the flight areas and survey lines
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Figure 14.
The relative percentage of ground feature classification results
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Figure 15.
Distribution of hyperspectral remote sensing functional areas
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Figure 16.
Fine classification of hyperspectral remote sensing features
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Figure 17.
The comprehensive grade classification of surface water by hyperspectral remote sensing
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Figure 18.
Inversion and classification of total nitrogen (N) element concentration in surface water by hyperspectral remote sensing
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Figure 19.
Inversion and classification of total phosphorus (P) element concentration in surface water by hyperspectral remote sensing
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Figure 20.
Five-day biochemical oxygen demand (BOD5) inversion classification of surface water by hyperspectral remote sensing
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Figure 21.
Results of fine classification of ground features in wet area 1#
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Figure 22.
Results of fine classification of ground features in wet area 2#
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Figure 23.
Results of fine classification of ground features in wet area 3#
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Figure 24.
Shore-based stability evaluation
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Figure 25.
Diagram of flight path
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Figure 26.
Hyperspectral inversion results of element As in the Danyang area
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Figure 27.
Hyperspectral inversion results of element Cr in the Danyang area
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Figure 28.
Hyperspectral inversion results of element Cu in the Danyang area
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Figure 29.
Interpolation analysis diagram of measured soil element As in the Danyang area
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Figure 30.
Distribution of algae information (blue)
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Figure 31.
Comparison of the airborne hyperspectral Cr element inversion image (above) and the actual collected soil samples (below)
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Figure 32.
Comparison of the airborne hyperspectral Cu element inversion image (above) and the actual collected soil samples (below)
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Figure 33.
Hyperspectral remote sensing to identify the distribution of dust pollution(red area)in some mine in Guichi