Extraction method of intertidal mangrove by using Sentinel-2 images

doi:10.13474/j.cnki.11-2246.2020.0043

Abstract

Abstract: Mangroves located in intertidal zone may be submerged by sea water at high tide, which makes the traditional vegetation extraction methods are limited at mangrove information extraction. After comparing and analyzing the spectral characteristics of mangroves exposed, mangroves submerged at high tide level and seawater bodies, a method of extracting intertidal Mangroves by using normalized intertidal mangrove index (NIMI) is proposed in this paper. The index is normalized expressions for the composition of a red band strongly absorbed by vegetation and two red-edge bands as well as a near-infrared band strongly reflected by vegetation. The index is used to classify and extract mangroves from Jiulongjiang Estuary wetland in Longhai, Fujian Province. The results are compared with the results of visual verification of GF-2 and field investigation. The results shows that the user accuracy of this method reaches 93.98%, and is significantly better than that of using normalized water index (NDWI), normalized vegetation index (NDVI) and the results of random forest.

Key words: mangrove, submerge, extraction, Sentinel-2 image, normalized intertidal mangrove index

CLC Number:

P237

XU Fang, ZHANG Ying, ZHAI Liang, LIU Jia, GU Xianghui. Extraction method of intertidal mangrove by using Sentinel-2 images[J]. Bulletin of Surveying and Mapping, 2020, 0(2): 49-54.

References

[1] DAHDOUH-GUEBAS F, JAYATISSA L P, INITTO D D, et al. How effective were mangroves as a defence against the recent tsunami?[J]. Current Biology, 2005,15(14):1337-1338..
[2] GIRI C, OCHIENG E, TIESZEN L L, et al. Status and distribution of mangrove forests of the world using earth observation satellite data[J].Global Ecology and Biogeography,2011,20(1):154-159.
[3] 吴培强,马毅,李晓敏,等.广东省红树林资源变化遥感监测[J].海洋学研究,2011,29(4):16-24.
[4] 廖宝文,张乔民.中国红树林的分布、面积和树种组成[J].湿地科学,2014,12(4):435-440.
[5] 蒋宇雯,周宁,周艳艳,等.城市黑臭水体遥感动态监测方法研究[J].测绘通报,2019(S1):98-104.
[6] 余莎莎,余洁,朱腾,等.一种改进的MCSM/H-PSO全极化SAR影像分类方法[J].测绘通报,2018(11):53-57.
[7] MUNYATI C. Optimising multiresolution segmentation:delineating savannah vegetation boundaries in the Kruger National Park, South Africa, using Sentinel 2 MSI imagery[J]. International Journal of Remote Sensing, 2018, 39(18):1-23.
[8] DEMURO M, CHISHOLM L. Assessment of hyperion for characterizing mangrove communities[C]//Proceedings of the AVIRIS2003 Workshop. Pasadena, California, USA:NASA Jet Propulsion Laboratory, 2003.
[9] 郭彦茹.清澜港红树林湿地土壤有机碳空间分布及碳储量遥感估算研究[D].北京:中国林业科学研究院,2014.
[10] 姚玲,刘高焕,刘庆生,等.利用影像分类分析黄河三角洲人工刺槐林健康[J].武汉大学学报(信息科学版),2010,35(7):863-867.
[11] 苏岫,耿杰,马晓瑞,等.基于多种植被指数信息与联合稀疏表示的红树林种类识别[J].海洋环境科学,2017,36(1):114-120.
[12] 张东水,从丽侠,全斌,等.基于光谱特征的漳江口红树林湿地遥感信息提取[C]//Proceedings of 2011 AASRI Conference on Artificial Intelligence and Industry Application(AASRI-AIIA 2011 V2).[S.l.]:智能信息技术应用学会,2011.
[13] 刘凯,龚辉,曹晶晶,等.基于多类型无人机数据的红树林遥感分类对比[J].热带地理,2019,39(4):492-501.
[14] 李想,刘凯,朱远辉,等.基于资源三号影像的红树林物种分类研究[J].遥感技术与应用,2018,33(2):360-369.
[15] 陈远丽,路春燕,刘金福,等.漳江口湿地变化的遥感监测[J].森林与环境学报,2019,39(1):61-69.
[16] 闫静,张彩云,骆炎民,等.福建九龙江口红树林变化的遥感监测[J].厦门大学学报(自然科学版),2012,51(3):426-433.
[17] 王孟欣.福建华安九龙江湿地公园保护与利用研究[J].林产工业,2019,46(4):61-64.
[18] 金亮,卢昌义,叶勇,等.九龙江口秋茄红树林湿地土壤呼吸速率的季节变化及其与环境因子的相关性[J].应用海洋学学报,2013,32(4):557-562.
[19] 李中元,吴炳方,张淼,等.利用物候差异与面向对象决策树提取油菜种植面积[J].地球信息科学学报,2019,21(5):720-730.
[20] ATZBERGER C,RICHTER K. Spatially constrained inversion of radiative transfer models for improved LAI mapping from future Sentinel-2imagery[J].Remote Sensing of Environment, 2012,120:208-218.
[21] NOVELLI A, AGUILAR M A, NEMMAOUI A, et al. Performance evaluation of object based greenhouse detection from Sentinel-2 MSI and Landsat 8 OLI data. A case study from Almería(Spain)[J].International Journal of Applied Earth Observation and Geoinformation,2016,52:403-411.
[22] MATTHEW H, HEATHER C, PABLO H, et al, 2009.the impacts of sea-level rise on the california coast[EB/OL].[2019-07-18]. http://pacinst.org/publication/the-impacts-of-sea-level-rise-on-thecalifornia-coast/.
[23] 张乔民,于红兵,陈欣树,等.红树林生长带与潮汐水位关系的研究[J].生态学报,1997,17(3):258-265.
[24] 许家琨,刘雁春,许希启,等.平均大潮高潮面的科学定位和现实描述[J].海洋测绘,2007,27(6):19-24.
[25] 林选跃. 福建沿海年平均海平面年际变化特征、预测及风险评估[D].青岛:中国海洋大学,2014.
[26] 王靖雯,牛振国.基于潮位校正的盐城滨海潮间带遥感监测及变化分析[J].海洋学报,2017,39(5):149-160.
[27] 郑阳,吴炳方,张淼.Sentinel-2数据的冬小麦地上干生物量估算及评价[J].遥感学报,2017,21(2):318-328.
[28] 高彦华,陈良富,周旭,等.估算混合植被叶绿素含量的理想波段分析[J].遥感学报,2009,13(4):623-630.