基于Suomi NPP VIIRS数据的黄海浒苔遥感监测研究
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摘要
[目的]基于Suomi NPP VIIRS数据,对2016年黄海浒苔(Enteromorpha prolifera)进行遥感监测,探讨基于NPP影像进行黄海浒苔遥感监测的适用性和可行性。[方法]基于NPP影像,利用NDVI动态阈值法提取黄海浒苔面积,获取2016年浒苔分布的时空特征,并将反演结果与MODIS进行对比。[结果]2016年黄海浒苔最早发生于5月下旬,6月上旬—7月上旬进入暴发期,7月下旬进入消亡期。截止7月31日共计监测到浒苔聚集现象20次,浒苔持续时间约60 d。VIIRS数据监测到的浒苔分布面积、位置与MODIS数据一致性较好,而且VIIRS在轨运行时间较MODIS更短,光谱质量更高,对浒苔的空间分布显示更加清晰。[结论]基于VIIRS数据利用NDVI动态阈值法进行浒苔面积提取的方法可行。
[Objective]This paper monitored Enteromorpha prolifera in the Yellow Sea based on 2016 Suomi NPP VIIRS data and explored the feasibility and applicability of remote sensing monitoring of Enteromorpha prolifera based on NPP images. [Method]The method of NDVI dynamic threshold was used to analyze the spatial-temporal features of Enteromorpha prolifera based on NPP images. Then,the characteristics were compared with those form MODIS. [Result]Enteromorpha prolifera first occurred in late May in the Yellow Sea,entered the outbreak period in early June and early July,finally,entered the extinction period in late July. By the end of July 31 st,we monitored the aggregation of Enteromorpha prolifera 20 times and the duration of Enteromorpha prolifera lasted for 60 days. The distribution area and location of Enteromorpha prolifera monitored by VIIRS data kept good consistence with that by MODIS data. Moreover,VIIRS sensor had a shorter on-orbit time and higher spectral quality compared with MODIS and the spatial distribution of Enteromorpha prolifera monitored by VIIRS data showed more clearly. [Conclusion]It is feasible to use the NDVI dynamic threshold method on the extraction of Enteromorpha prolifera area based on VIIRS data.
[Objective]This paper monitored Enteromorpha prolifera in the Yellow Sea based on 2016 Suomi NPP VIIRS data and explored the feasibility and applicability of remote sensing monitoring of Enteromorpha prolifera based on NPP images. [Method]The method of NDVI dynamic threshold was used to analyze the spatial-temporal features of Enteromorpha prolifera based on NPP images. Then,the characteristics were compared with those form MODIS. [Result]Enteromorpha prolifera first occurred in late May in the Yellow Sea,entered the outbreak period in early June and early July,finally,entered the extinction period in late July. By the end of July 31 st,we monitored the aggregation of Enteromorpha prolifera 20 times and the duration of Enteromorpha prolifera lasted for 60 days. The distribution area and location of Enteromorpha prolifera monitored by VIIRS data kept good consistence with that by MODIS data. Moreover,VIIRS sensor had a shorter on-orbit time and higher spectral quality compared with MODIS and the spatial distribution of Enteromorpha prolifera monitored by VIIRS data showed more clearly. [Conclusion]It is feasible to use the NDVI dynamic threshold method on the extraction of Enteromorpha prolifera area based on VIIRS data.
引文
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[8]邢前国,郑向阳,施平,等.基于多源、多时相遥感影像的黄、东海绿潮影响区检测[J].光谱学与光谱分析,2011,31(6):1644-1647.
[9]HU C M.A novel ocean color index to detect floating algae in the global oceans[J].Remote sensing of environment,2009,113(10):2118-2129.
[10]钟山,丁一,李振,等.MODIS浒苔遥感监测误差分析研究[J].遥感信息,2013,28(1):38-42.
[11]李旭文,牛志春,姜晟,等.环境监测卫星Suomi NPP业务特性及生态环境监测应用[J].环境监控与预警,2014(3):1-6.
[12]丁一,黄娟,崔廷伟,等.基于NDVI与丰度关系的MODIS影像浒苔混合像元分解方法[J].海洋学报,2015,37(7):123-131.
[13]HUANG C,CHEN Y,WU J P,et al.An evaluation of Suomi NPP-VIIRS data for surface water detection[J].Remote sensing letters,2015,6(2):155-164.
[14]HILLGER D,SEAMAN C,LIANG C,et al.Suomi NPP VIIRS Imagery evaluation[J].Journal of geophysical research atmospheres,2014,119(11):6440-6455.
[15]LIAO L B,WEISS S,MILLS S,et al.Suomi NPP VIIRS day-night band on-orbit performance[J].Journal of geophysical research atmospheres,2013,118(22):12705-12718.
[16]李军,朱建华,韩冰,等.VIIRS在中国渤海的遥感反射率产品验证[J].海洋技术学报,2016,35(2):27-33.
[17]BILAl M,NAZEER M,NICHOL J E.Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters[J].Atmospheric research,2017,186:43-50.
[18]CAO C,XIONG J,BLONSKI S,et al.Suomi NPP VIIRS sensor data record verification,validation,and long-term performance monitoring[J].Journal of geophysical research-at-mospheres,2013,118(20):11664-11678.
[19]樊彦国,白羽,陈潘潘,等.青岛近海浒苔光谱特征研究[J].海洋科学,2015,39(4):87-91.
[20]吴孟泉,郭浩,张安定,等.2008年-2012年山东半岛海域浒苔时空分布特征研究[J].光谱学与光谱分析,2014,34(5):1312-1318.
[2]张惠荣.浒苔生态学研究[M].北京:海洋出版社,2009:92-98.
[3]吴传庆,马万栋,王雪蕾,等.基于环境卫星CCD数据的黄海浒苔遥感监测[J].中国环境监测,2015,31(3):161-165.
[4]WANG X H,LI L,BAO X,et al.Economic cost of an algae bloom cleanup in China’s 2008 Olympic sailing venue[J].EOS Transactions American Geophysical Union,2009,90(28):238-239.
[5]章志,陈艳拢,罗锋.基于遥感技术的2014年南黄海浒苔时空分布特征研究[J].淮海工学院学报(自然科学版),2016,25(1):80-85.
[6]李三妹,李亚君,董海鹰,等.浅析卫星遥感在黄海浒苔监测中的应用[J].应用气象学报,2010,21(1):76-82.
[7]孙慧,谢小平.基于MODIS数据的日照市近海浒苔监测及影响因子分析[J].国土资源遥感,2016,28(1):144-151.
[8]邢前国,郑向阳,施平,等.基于多源、多时相遥感影像的黄、东海绿潮影响区检测[J].光谱学与光谱分析,2011,31(6):1644-1647.
[9]HU C M.A novel ocean color index to detect floating algae in the global oceans[J].Remote sensing of environment,2009,113(10):2118-2129.
[10]钟山,丁一,李振,等.MODIS浒苔遥感监测误差分析研究[J].遥感信息,2013,28(1):38-42.
[11]李旭文,牛志春,姜晟,等.环境监测卫星Suomi NPP业务特性及生态环境监测应用[J].环境监控与预警,2014(3):1-6.
[12]丁一,黄娟,崔廷伟,等.基于NDVI与丰度关系的MODIS影像浒苔混合像元分解方法[J].海洋学报,2015,37(7):123-131.
[13]HUANG C,CHEN Y,WU J P,et al.An evaluation of Suomi NPP-VIIRS data for surface water detection[J].Remote sensing letters,2015,6(2):155-164.
[14]HILLGER D,SEAMAN C,LIANG C,et al.Suomi NPP VIIRS Imagery evaluation[J].Journal of geophysical research atmospheres,2014,119(11):6440-6455.
[15]LIAO L B,WEISS S,MILLS S,et al.Suomi NPP VIIRS day-night band on-orbit performance[J].Journal of geophysical research atmospheres,2013,118(22):12705-12718.
[16]李军,朱建华,韩冰,等.VIIRS在中国渤海的遥感反射率产品验证[J].海洋技术学报,2016,35(2):27-33.
[17]BILAl M,NAZEER M,NICHOL J E.Validation of MODIS and VIIRS derived aerosol optical depth over complex coastal waters[J].Atmospheric research,2017,186:43-50.
[18]CAO C,XIONG J,BLONSKI S,et al.Suomi NPP VIIRS sensor data record verification,validation,and long-term performance monitoring[J].Journal of geophysical research-at-mospheres,2013,118(20):11664-11678.
[19]樊彦国,白羽,陈潘潘,等.青岛近海浒苔光谱特征研究[J].海洋科学,2015,39(4):87-91.
[20]吴孟泉,郭浩,张安定,等.2008年-2012年山东半岛海域浒苔时空分布特征研究[J].光谱学与光谱分析,2014,34(5):1312-1318.