Message Board

Respected readers, authors and reviewers, you can add comments to this page on any questions about the contribution, review, editing and publication of this journal. We will give you an answer as soon as possible. Thank you for your support!

Full name
E-mail
Phone number
Title
Message
Verification Code
Luo Jianmei, Huo Yongwei, Han Xiaoqing. Inversion of chlorophyll a concentration in offshore Ⅱ waters using HJ satellite data——Example in the north of the Luanhe Delta[J]. Haiyang Xuebao, 2017, 39(4): 117-129. doi: 10.3969/j.issn.0253-4193.2017.04.012
Citation: Luo Jianmei, Huo Yongwei, Han Xiaoqing. Inversion of chlorophyll a concentration in offshore Ⅱ waters using HJ satellite data——Example in the north of the Luanhe Delta[J]. Haiyang Xuebao, 2017, 39(4): 117-129. doi: 10.3969/j.issn.0253-4193.2017.04.012

Inversion of chlorophyll a concentration in offshore Ⅱ waters using HJ satellite data——Example in the north of the Luanhe Delta

doi: 10.3969/j.issn.0253-4193.2017.04.012
  • Received Date: 2016-06-02
  • Rev Recd Date: 2016-08-06
  • In order to verify the suitability of environmental satellite images being used to conduct concentration inversion of chlorophyll a (Chl a) in nearshore Ⅱ waters, and to obtain the inversion algorithm in the north nearshore water areas of Luanhe River, several inversion models of Chl a concentration were established based on the HJ-1A CCD2 images and synchronous measurement data. By comparing the simulated results with the validation data, the most prosperity model to simulate Chl a concentration for study area was selected. The results show that HJ-1A CCD2 images are effective enough to inverse the Chl a concentration of nearshore Ⅱ waters under the complex hydrological situation. We therefore built the reciprocal model by B3/B1 which was the optimal band combination for the study area. Inversion results show that the Chl a concentration gradually decreases from the nearshore to the inner sea, and the same is true from the north to the south, thus forming a high nutrient area to the sea outside the estuary. The maximum value of 25.0 μg/L occurs in the south of Jinshanzui, the minimum value of 4.6 μg/L in offshore areas occurs at about 13.2 km east of the Luanhe Delta, while the minimum value of 11.0 μg/L in nearshore areas occurs nearby the Luanhe Delta. The methods and processes analysis in this study can be used as references for the similar researches. In addition, this study can provide decision-making references for the local government to manage marine environment and formulate related policies, and the important supporting data for the sustainable development in this area.

  • loading
  • Moses W J, Gitelson A A, Berdnikov S, et al. Estimation of chlorophyll-a concentration in case Ⅱ waters using MODIS and MERIS data-successes and challenges[J]. Environmental Research Letters, 2009, 4(4): 549-567.
    Ekstrand S. Landsat TM based quantification of chlorophyll-a during algae blooms in coastal waters[J]. International Journal of Remote Sensing, 1992, 13(10): 1913-1926.
    Gitelson A A, Schalles J F, Hladik C M. Remote chlorophyll-a retrieval in turbid, productive estuaries: Chesapeake Bay case study[J]. Remote Sensing of Environment, 2007, 109(4): 464-472.
    马万栋, 吴传庆, 殷守敬, 等. 基于实测光谱的烟台四十里湾水体叶绿素a遥感反演[J]. 中国环境监测, 2015, 31(4): 135-140. Ma Wandong, Wu Chuanqing, Yin Shoujing, et al. Chlorophyll-a retrieval of Yantai Sishili Bay based on in situ spectral characteristics[J]. Environmental Monitoring in China, 2015, 31(4): 135-140.
    蒋刚, 肖建, 郑永康, 等. 基于统计学习理论的海色遥感叶绿素浓度反演方法[J]. 中国海洋大学学报(自然科学版), 2006, 36(4): 559-563. Jiang Gang, Xiao Jian, Zheng Yongkang, et al. Use ocean color remote sensing data to retrieve chlorophyll-a concentration based on statistic learning theory[J]. Periodical of Ocean University of China, 2006, 36(4): 559-563.
    刘朝相. 内陆水体叶绿素a浓度的遥感反演模型研究——以官厅水库妫水河段为例[D]. 北京: 首都师范大学, 2014. Liu Chaoxiang. Remote sensing retrieval model of chlorophyll a concentration in inland waters[D]. Beijing: Capital Normal University, 2014.
    张勇, 张永丰, 张万磊, 等. 秦皇岛海域微微型藻华期间叶绿素a分级研究[J]. 生态科学, 2012, 31(4): 357-363. Zhang Yong, Zhang Yongfeng, Zhang Wanlei, et al. Size fraction of chlorophyll a during and after brown tide in Qinhuangdao coastal waters[J]. Ecological Science, 2012, 31(4): 357-363.
    熊竹, 丁世敏, 肖红艳, 等. 水体中叶绿素a浓度遥感反演的算法研究进展[J]. 中国西部科技, 2015, 14(10): 16-20. Xiong Zhu, Ding Shimin, Xiao Hongyan, et al. Progress of algorithms research on remote sensing retrieval of chlorophyll-a concentration in water body[J]. Science and Technology of West China, 2015, 14(10): 16-20.
    Magnuson A, Harding Jr L W, Mallonee M E, et al. Bio-optical model for Chesapeake Bay and the Middle Atlantic Bight[J]. Estuarine, Coastal and Shelf Science, 2004, 61(3): 403-424.
    D'Sa E J, Hu C, Muller-Karger F E, et al. Estimation of colored dissolved organic matter and salinity fields in case 2 waters using SeaWiFS: Examples from Florida Bay and Florida Shelf[J]. Journal of Earth System Science, 2002, 111(3): 197-207.
    矫京均, 辛晓洲, 余珊珊, 等. HJ-1卫星数据估算地表能量平衡[J]. 遥感学报, 2014, 18(5): 1048-1058. Jiao Jingjun, Xin Xiaozhou, Yu Shanshan, et al. Estimation of surface energy balance from HJ-1 satellite data[J]. Journal of Remote Sensing, 2014, 18(5): 1048-1058.
    黄薇. 胶州湾叶绿素a浓度遥感产品检验与反演算法研究[D]. 青岛: 中国海洋大学, 2012. Huang Wei. MERIS chlorophyll-a concentration product validation and researching on the inversion algorithm of chlorophyll-a concentration for the Jiaozhou Bay[D]. Qingdao: Ocean University of China, 2012.
    杨锦坤, 陈楚群. 珠江口二类水体水色三要素的优化反演[J]. 热带海洋学报, 2007, 26(5): 15-20. Yang Jingkun, Chen Chuqun. An optimal algorithm for retrieval of chlorophyll, suspended sediments and gelbstoff of case Ⅱ waters in Zhujiang River estuary[J]. Journal of Tropical Oceanography, 2007, 26(5): 15-20.
    Keiner L E, Yan Xiaoyan. A Neural network model for estimating sea surface chlorophyll and sediments from thematic mapper imagery[J]. Remote Sensing of Environment, 1998, 66(2): 153-165.
    Tanaka A, Kishino M, Doerffer R, et al. Development of a neural network algorithm for retrieving concentrations of chlorophyll, suspended matter and yellow substance from radiance data of the ocean color and temperature scanner[J]. Journal of Oceanography, 2004, 60(3): 519-530.
    陈莉琼, 田礼乔, 邱凤, 等. HJ-1A/B卫星CCD影像的武汉市东湖水色三要素遥感研究[J]. 武汉大学学报·信息科学版, 2011, 36(11): 1280-1283, 1335. Chen Liqiong, Tian Liqiao, Qiu Feng, et al. Water color constituents remote sensing in Wuhan Donghu Lake using HJ-1A/B CCD imagery[J]. Geomatics and Information Science of Wuhan University, 2011, 36(11): 1280-1283, 1335.
    张彦喆. 渤海海域叶绿素浓度反演方法研究[D]. 天津: 天津科技大学, 2010. Zhang Yanzhe. Study on inversion method of chlorophyll concentration in the Bohai Sea[D]. Tianjin: Tianjin University of Science and Technology, 2010.
    吴倩, 林蕾, 王学军, 等. 福海叶绿素含量的人工神经网络反演模型[J]. 地理与地理信息科学, 2004, 20(4): 27-30. Wu Qian, Lin Lei, Wang Xuejun, et al. The neural network model on chlorophyll concentration in the Fuhai Lake[J]. Geography and Geo-Information Science, 2004, 20(4): 27-30.
    杨燕明, 刘贞文, 陈本清, 等. 用偏最小二乘法反演二类水体的水色要素[J]. 遥感学报, 2005, 9(2): 123-130. Yang Yanming, Liu Zhenwen, Chen Benqing, et al. Retrieval of oceanic color constituents from case Ⅱ water reflectance by partial least squares regression[J]. Journal of Remote Sensing, 2005, 9(2): 123-130.
    杨曦光. 黄海叶绿素及初级生产力的遥感估算[D]. 青岛: 中国科学院海洋研究所, 2013. Yang Xiguang. Chlorophyll and primary productivity estimation based on remote sensing in Yellow Sea[D]. Qingdao: Institute of Oceanology, Chinese Academy of Sciences, 2013.
    Yapa K K A S. Seasonal variability of sea surface chlorophyll-a of waters around Sri Lanka[J]. Journal of Earth System Science, 2000, 109(4): 427-432.
    Goes J I, Oaku T S H, Liang D L. A method for estimating sea surface nitrate concentrations from remotely sensed SST and chlorophyll a-a case study for the north Pacific Ocean using OCTS/ADEOS data[J]. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(3): 1633-1644.
    Nagamani P V, Chauhan P, Dwivedi R M. Estimation of chlorophyll-a concentration using an artificial neural network (ANN)-based algorithm with oceansat-I OCM data[J]. Journal of the Indian Society of Remote Sensing, 2007, 35(3): 201-207.
    Sancak S, Besiktepe S T, Yilmaz A, et al. Evaluation of SeaWiFS chlorophyll-a in the Black and Mediterranean Seas[J]. International Journal of Remote Sensing, 2005, 26(10): 2045-2060.
    Dogliotti A I, Schloss I R, Almandoz G O, et al. Evaluation of SeaWiFS and MODIS Chlorophyll-a Products in the Argentinean Patagonian Continental Shelf (38°S-55°S)[J]. International Journal of Remote Sensing, 2009, 30(1): 251-273.
    Vaiciūtè D, Olenina I, Kavolytè T, et al. Validation of MERIS chlorophyll a products in the Lithuanian Baltic Sea case 2 coastal waters[C]//2010 IEEE/OES US/EU BALTIC International Symposium. Riga: Institute of Electrical and Electronics Engineers, 2010.
    Carder K L, Chen F R, Cannizzaro J P, et al. Performance of the MODIS semi-analytical ocean color algorithm for chlorophyll-a[J]. Advances in Space Research, 2004,33(2):1152-1159
    丁晓英, 陈晓翔. 基于环境因素的沿岸水域叶绿素遥感探测研究[J]. 遥感学报, 2005, 9(4): 446-451. Ding Xiaoying, Chen Xiaoxiang. The study of chlorophyll detection in coastal waters based on environmental factors[J]. Journal of Remote Sensing, 2005, 9(4): 446-451.
    沈春燕, 陈楚群, 詹海刚. 人工神经网络反演珠江口海域叶绿素浓度[J]. 热带海洋学报, 2005, 24(6): 38-43. Shen Chunyan, Chen Chuqun, Zhan Haigang. Inverse of chlorophyll concentration in Zhujiang River estuary using artifical neural network[J]. Journal of Tropical Oceanography, 2005, 24(6): 38-43.
    于堃, 陆殿梅, 熊黑钢. 近7年来渤海海区冬季表层海水叶绿素浓度的遥感反演及其变化分析[J]. 遥感信息, 2009(6): 55-62. Yu Kun, Lu Dianmei, Xiong Heigang. Analysis and retrieving of surface layer chlorophyll concentration of Bohai Sea in past 7 years[J]. Remote Sensing Application, 2009(6): 55-62.
    万幼川, 黄家洁, 刘良明. 基于MODIS数据的二类水体叶绿素反演算法理论与实现[J]. 武汉大学学报·信息科学版, 2007, 32(7): 572-575. Wan Youchuan, Huang Jiajie, Liu Liangming. Theory and implementation of chlorophyll concentration retrieval algorithm for case 2 water with Modis[J]. Geomatics and Information Science of Wuhan University, 2007, 32(7): 572-575.
    沙慧敏, 李小恕, 杨文波, 等. 用MODIS遥感数据反演东海海表温度、叶绿素a浓度年际变化的研究[J]. 大连水产学院学报, 2009, 24(2): 151-156. Sha Huimin, Li Xiaoshu, Yang Wenbo, et al. Annual variation in sea surface temperature and chlorophyll-a concentration retrieved by MODIS in East China Sea[J]. Journal of Dalian Fisheries University, 2009, 24(2): 151-156.
    李新星, 张亭禄, 田林, 等. 多卫星传感器南海叶绿素a浓度遥感数据融合[J]. 遥感学报, 2015, 19(4): 680-689. Li Xinxing, Zhang Tinglu, Tian Lin, et al. Merging chlorophyll-a data from multiple ocean color sensors in South China Sea[J]. Journal of Remote Sensing, 2015, 19(4): 680-689.
    于堃, 陆殿梅. 二类水体的MODIS数据大气校正及在渤海表层水体叶绿素浓度监测反演中的应用研究[J]. 海洋通报, 2009, 28(5): 21-27. Yu Kun, Lu Dianmei. Atmospheric correction of modis data for case-ii water and research of monitoring and retrieving chlorophyll concentration in the Bohai Sea[J]. Marine Science Bulletin, 2009, 28(5): 21-27.
    张丽华, 戴学芳, 包玉海, 等. 基于TM影像的乌梁素海叶绿素a浓度反演[J]. 环境工程, 2015, 33(6): 133-138. Zhang Lihua, Dai Xuefang, Bao Yuhai, et al. Inversion of chlorophyll-a concentration based on tm remote sensing image in Wuliangsuhai Lake[J]. Environmental Monitoring & Assessment, 2015, 33(6): 133-138.
    张宏亮. FLH算法反演渤海叶绿素浓度的能力评价研究[D]. 呼和浩特: 内蒙古大学, 2007. Zhang Hongliang. Evaluation research on chlorophyll concentration retrieval by FLH algorithm in Bohai Sea[D]. Huhhot: Inner Mongolia University, 2007.
    郑小慎, 敖翔. 利用遥感数据反演渤海海域叶绿素的浓度[J]. 天津科技大学学报, 2009, 24(2): 35-37, 69. Zheng Xiaoshen, Ao Xiang. Inversion of chlorophyll concentrations in Bohai Sea using remote sensing data[J]. Journal of Tianjin University of Science & Technology, 2009, 24(2): 35-37, 69.
    郑国强, 史同广, 孙林, 等. 基于Hyperion数据的南四湖叶绿素浓度反演研究[J]. 地理与地理信息科学, 2008, 24(1): 31-34. Zheng Guoqiang, Shi Tongguang, Sun Lin, et al. Regression of chlorophyll content based Hyperion data in Nansi Lake[J]. Geography and Geo-Information Science, 2008, 24(1): 31-34.
    闻建光, 肖青, 杨一鹏, 等. 基于Hyperion数据的太湖水体叶绿素a浓度遥感估算[J]. 湖泊科学, 2006, 18(4): 327-336. Wen Jianguang, Xiao Qing, Yang Yipeng, et al. Remote sensing estimation of aquatic chlorophyll-a concentration based on Hyperion data in Lake Taihu[J]. Journal of Lake Sciences, 2006, 18(4): 327-336.
    钱莉. 渤海海域赤潮监测中叶绿素浓度反演算法的研究[D]. 天津: 天津科技大学, 2011. Qian Li. Research on inversion algorithms of chlorophyll concentration about red tides monitoring in Bohai Sea[D]. Tianjin: Tianjin University of Science and Technology, 2011.
    郭宇龙. 面向内陆水色遥感的多源遥感影像融合方法研究[D]. 南京: 南京师范大学, 2015. Guo Yulong. Research of multisource image fusion algorithm for inland water color remote sensing[D]. Nanjing: Nanjing Normal University, 2015.
    邹亚荣. 渤海叶绿素a时空分布特征分析[J]. 遥感信息, 2004, 1(3): 30-31. Zou Yarong. Analysis spatial distribution characteristics for chl a in Bohai Sea[J]. Remote Sensing Information, 2004, 1(3): 30-31.
    He Xianqiang, Bai Yan, Pan Delu, et al. The atmospheric correction algorithm for HY-1B/COCTS[C]// Geoinformatics 2008 and Joint Conference on GIS and Built. Washington: SPIE, 2008.
    林珊, 张玉超, 钱新, 等. 广州流溪河水库叶绿素a遥感反演研究[J]. 环境保护科学, 2010, 36(3): 43-46, 104. Lin Shan, Zhang Yuchao, Qian Xin, et al. Chlorophyll a concentration retrieval of Liuxihe Reservoir in Guangzhou using remote sensing data[J]. Environmental Protection Science, 2010, 36(3): 43-46, 104.
    王贵臣, 刘田田. 基于线性回归分析的东平湖叶绿素含量监测[J]. 首都师范大学学报(自然科学版), 2015, 36(2): 72-77. Wang Guichen, Liu Tiantian. Chlorophyll a concentration monitoring of Dongping Lake based on linear regression analysis[J]. Journal of Capital Normal University (Natural Sciences Edition), 2015, 36(2): 72-77.
    雷坤, 郑丙辉, 王桥. 基于中巴地球资源1号卫星的太湖表层水体水质遥感[J]. 环境科学学报, 2004, 24(3): 376-380. Lei Kun, Zheng Binghui, Wang Qiao. Monitoring the surface water quality of Taihu Lake based on the data of CBERS-1[J]. Acta Scientiae Circumstantiae, 2004, 24(3): 376-380.
    朱利, 李云梅, 赵少华, 等. 基于GF-1号卫星WFV数据的太湖水质遥感监测[J]. 国土资源遥感, 2015, 27(1): 113-120. Zhu Li, Li Yunmei, Zhao Shaohua, et al. Remote sensing monitoring of Taihu Lake water quality by using GF-1 satellite WFV data[J]. Remote Sensing for Land & Resources, 2015, 27(1): 113-120.
    郭宇龙, 李云梅, 朱利, 等. 基于HJ1A-CCD数据的高光谱影像重构研究[J]. 环境科学, 2013, 34(1): 69-76. Guo Yulong, Li Yunmei, Zhu Li, et al. Research of hyperspectral reconstruction based on HJ1A-CCD data[J]. Environmental Science, 2013, 34(1): 69-76.
    王琦, 孟伟, 马云峰, 等. 基于HJ-1卫星的大伙房水库叶绿素a浓度反演模型研究[J]. 安全与环境学报, 2013, 13(4): 137-141. Wang Qi, Meng Wei, Ma Yunfeng, et al. On the inversion models for chlorophyll-a concentration based on the HJ-1 satellite images of Dahuofang Reservoir, Liaoning[J]. Journal of Safety and Environment, 2013, 13(4): 137-141.
    安如, 刘影影, 曲春梅, 等. NDCI法Ⅱ类水体叶绿素a浓度高光谱遥感数据估算[J]. 湖泊科学, 2013, 25(3): 437-444. An Ru, Liu Yingying, Qu Chunmei, et al. Estimation of chlorophyll-a concentration of case Ⅱ waters from hyperspectral remote sensing data in NDCI method[J]. Journal of Lake Sciences, 2013, 25(3): 437-444.
    刘王兵, 于之锋, 周斌, 等. 杭州湾HJ CCD影像悬浮泥沙遥感定量反演[J]. 遥感学报, 2013, 17(4): 905-918. Liu Wangbing, Yu Zhifeng, Zhou Bin, et al. Assessment of suspended sediment concentration at the Hangzhou Bay using HJ CCD imagery[J]. Journal of Remote Sensing, 2013, 17(4): 905-918.
    吴川, 张玉龙, 张克荣, 等. 丹江口水库水质的遥感监测[J]. 南水北调与水利科技, 2013, 11(6): 75-80. Wu Chuan, Zhang Yulong, Zhang Kerong, et al. Remote sensing monitoring of water quality in the Danjiangkou Reservoir[J]. South-to-North Water Transfers and Water Science & Technology, 2013, 11(6): 75-80.
    杜挺, 王旭红, 梁海艳, 等. 湖泊叶绿素a反演的大气校正模型比较研究[J]. 云南大学学报(自然科学版), 2014, 36(2): 241-248. Du Ting, Wang Xuhong, Liang Haiyan, et al. Comparative study on atmospheric correction methods in lakes chlorophyll-a retrieval[J]. Journal of Yunnan University, 2014, 36(2): 241-248.
    曹晓峰. 基于HJ-1A/1B影像的滇池水质遥感监测研究[D]. 西安: 西安科技大学, 2012. Cao Xiaofeng. The study of water quality monitoring in Dianchi Lake based on HJ-1A/1B remote sensing data[D]. Xi'an: Xi'an University of Science and Technology, 2012.
    周正, 何连, 刘良明. 基于HJ-1A/B CCD数据的东湖叶绿素a浓度反演可行性研究[J]. 测绘通报, 2011(3): 11-14. Zhou Zheng, He Lian, Liu Liangming. Feasibility study for retrieval of chlorophyll-a concentration in Donghu Lake using HJ-1 A/B CCD data[J]. Bulletin of Surveying and Mapping, 2011(3): 11-14.
    杨荣, 杨昆, 洪亮, 等. 基于HJ-1A卫星CCD1数据的滇池水质参数反演模型研究[J]. 节水灌溉, 2015(3): 42-45. Yang Rong, Yang Kun, Hong Liang, et al. A study of inversion modeling of water quality parameters in Dianchi using HJ-1A CCD1 data[J]. Water Saving Irrigation, 2015(3): 42-45.
    朱玉霞, 张杰, 刘锐, 等. 基于HJ-1卫星的丹江口库区水质遥感监测研究[J]. 环境科技, 2014, 27(5): 52-58. Zhu Yuxia, Zhang Jie, Liu Rui, et al. Study on remote sensing monitoring of water quality for Danjiangkou Reservoir by HJ-1 satellite data[J]. Environmental Science and Technology, 2014, 27(5): 52-58.
    刘朝相, 宫兆宁, 赵文吉, 等. 基于SVM模型的妫水河叶绿素a浓度的遥感反演[J]. 遥感技术与应用, 2014, 29(3): 419-427. Liu Chaoxiang, Gong Zhaoning, Zhao Wenji, et al. Remote sensing retrieval of chlorophyll-a concentration in Beijing Guishuihe River using support vector machine model[J]. Remote Sensing Technology and Application, 2014, 29(3): 419-427.
    潘梅娥, 杨昆, 洪亮. 基于环境一号卫星影像的内陆水体叶绿素a浓度遥感定量反演模型研究[J]. 科学技术与工程, 2013, 13(15): 4228-4233. Pan Mei'e, Yang Kun, Hong Liang. Remote sensing quantitative retrieval models research of inland water chlorophyll-a concentration based on HJ-1 satellite images[J]. Science Technology and Engineering, 2013, 13(15): 4228-4233.
    王珊珊, 李云梅, 王永波, 等. 太湖水体叶绿素浓度反演模型适宜性分析[J]. 湖泊科学, 2015, 27(1): 150-162. Wang Shanshan, Li Yunmei, Wang Yongbo, et al. Suitability of the retrieval models for estimating chlorophyll concentration in Lake Taihu[J]. Journal of Lake Sciences, 2015, 27(1): 150-162.
    郑高强, 陈芸芝, 汪小钦, 等. 基于HJ-1卫星CCD数据的厦门海域叶绿素a浓度反演[J]. 遥感技术与应用, 2015, 30(2): 235-241, 284. Zheng Gaoqiang, Chen Yunzhi, Wang Xiaoqin, et al. The chlorophyll-a concentration extraction of Xiamen Sea based on the HJ-1 satellite image[J]. Remote Sensing Technology and Application, 2015, 30(2): 235-241, 284.
    王皓. 基于HJ-1星数据的大洋河河口水域水质参数反演研究[D]. 大连: 辽宁师范大学, 2012. Wang Hao. Study of water quality index retrievals in Dayang River estuary based on HJ-1 satellite remote-sensed imagery[D]. Dalian: Liaoning Normal University, 2012.
    孟庆辉, 王林, 毛志华, 等. 基于HJ CCD的杭州湾海域水质评价[J]. 广西科学, 2015, 22(3): 322-328, 336. Meng Qinghui, Wang Lin, Mao Zhihua, et al. Preliminary study on the application of HJ CCD imagery to water quality assessment for Hangzhou Bay[J]. Guangxi Sciences, 2015, 22(3): 322-328, 336.
    秦平, 沈钺, 牟冰, 等. 基于进化建模方法的HJ-1 CCD黄海悬浮物和叶绿素a浓度遥感反演模型研究[J]. 海洋学报, 2014, 36(11): 142-149. Qin Ping, Shen Yue, Mu Bing, et al. Retrieval models of totalsuspended matter and chlorophyll a concentration in Yellow Sea based on HJ-1 CCD data and evolutionary modeling method[J]. Haiyang Xuebao, 2014, 36(11): 142-149.
    杨婷, 张慧, 王桥, 等. 基于HJ-1A卫星超光谱数据的太湖叶绿素a浓度及悬浮物浓度反演[J]. 环境科学, 2011, 32(11): 3207-3214. Yang Ting, Zhang Hui, Wang Qiao, et al. Retrieving for chlorophyll-a concentration and suspended substance concentration based on HJ-1A HIS image[J]. Environmental Science, 2011, 32(11): 3207-3214.
    丛丕福, 牛铮, 蒙继华, 等. 1998~2003年卫星反演的中国陆架海叶绿素a浓度变化分析[J]. 海洋环境科学, 2006, 25(1): 30-33. Cong Pifu, Niu Zheng, Meng Jihua, et al. Variability of chlorophyll a retrieved from satellite in Chinese shelf sea from 1998 to 2003[J]. Marine Environmental Science, 2006, 25(1): 30-33.
    韩晓庆, 苏艺, 李静, 等. 海岸带地区SPOT卫星影像大气校正方法比较及精度验证[J]. 地理研究, 2012, 31(11): 2007-2016. Han Xiaoqing, Su Yi, Li Jing, et al. Atmospheric correction and verification of the SPOT remote sensing image in coastal zones[J]. Geographical Research, 2012, 31(11): 2007-2016.
    邓书斌. ENVI遥感图像处理方法[M]. 北京: 科学出版社, 2010. Deng Shubin. ENVI Remote Sensing Image Processing Method[M]. Beijing: Science Press, 2010.
    王玉珏, 刘哲, 张永, 等. 2010-2011年胶州湾叶绿素a与环境因子的时空变化特征[J]. 海洋学报, 2015, 37(4): 103-116. Wang Yujue, Liu Zhe, Zhang Yong, et al. Temporal and spatial variations of chlorophyll a and environmental factors in Jiaozhou Bay in 2010-2011[J]. Haiyang Xuebao, 2015, 37(4): 103-116.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Article views (975) PDF downloads(445) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return