基于线性混合模型和NDVI阈值法的MODIS影像黄海浒苔监测

生态学杂志

基于线性混合模型和NDVI阈值法的MODIS影像黄海浒苔监测

丁一^1,2,3*,曹丛华^2,3,程良晓^4,5,王宁^2,3,温连杰^2,3

（¹山东科技大学测绘科学与工程学院，青岛 266590；²山东省海洋生态环境与防灾减灾重点实验室，青岛 266061；³国家海洋局北海预报中心，青岛 266061；⁴中国科学院大学，北京 100049；⁵中国科学院遥感与数字地球研究所遥感科学国家重点实验室，北京 100101)

出版日期:2018-11-10 发布日期:2018-11-10

Monitoring of Enteromorpha prolifera in the Yellow Sea with MODIS image based on linear mixing model and NDVI threshold.

DING Yi^1,2,3*, CAO Cong-hua^2,3, CHENG Liang-xiao^4,5, WANG Ning^2,3, WEN Lian-Jie^2,3

(¹Shandong University of Science and Technology, Qingdao 266590, Shandong, China; ²Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation, Qingdao 266061, Shandong, China; ³North China Sea Marine Forecast Center of State Oceanic Administration, Qingdao 266061, China; ⁴Universityof Chinese Academy of Sciences, Beijing 100049, China; ⁵State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy ofSciences, Beijing 100101, China).

Online:2018-11-10 Published:2018-11-10

摘要/Abstract

摘要： 水体富营养化等原因，导致浒苔（Enteromorpha prolifera）灾害自2007年在中国黄海海域频发，成为黄海最严重的生态灾害。卫星遥感具有大范围监测、瞬时优势，成为浒苔灾害最重要的监测手段之一。中分辨率成像光谱仪(moderateresolution imaging spectroradiometer, MODIS)影像因其幅宽大、时间分辨率高、免费分发，成为浒苔业务化监测的主要数据源。由于空间分辨率（250 m）较低，混合像元的存在导致传统阈值法获取的浒苔面积误差较大。本文结合线性混合模型（linear mixing model, LMM）和归一化差值植被指数(normalized different vegetation index, NDVI)阈值法对250 m空间分辨率的MODIS影像进行浒苔面积提取。选择1个大区及其内部3个小区，以准同步5.8 m空间分辨率资源三号（ZY-3）卫星影像提取浒苔结果为准进行精度评价。发现NDVI阈值为0.04提取的浒苔像元对线性混合模型分解结果掩膜所得浒苔面积误差最小，大区及其3个小区的误差分别是7.86%、14.59%、-7.65%、-0.15%。应用本文提供方法可有效排除浒苔混合像元和非浒苔像元对浒苔面积信息提取的干扰，与阈值法相比大幅提高了反演精度，且在不同区域精度较稳定，可为浒苔生态灾害的处置决策和评估提供支撑。

关键词: 无机硫形态, 光滩, 闽江河口, 海向入侵, 互花米草湿地

Abstract: Due to eutrophication,E. prolifera disasters have frequently occurred in China’s Yellow Sea since 2007, which have become the most serious ecological disaster in the Yellow Sea. Satellite remote sensing has the advantages of largescale monitoring and instantaneous monitoring, and is one of the most important monitoring means of E. prolifera disaster. Moderateresolution imaging spectroradiometer (MODIS) image is the main data source of E. prolifera operational monitoring because of its large size, high temporal resolution and free distribution. There are many errors in E. prolifera area derived from NDVI threshold, because of mixed pixels in the coarse resolution (250 m) MODIS images. In order to solve this problem, we extracted the E. prolifera area from the MODIS image with the spatial resolution of 250 m by combining the linear spectral mixture decomposition method and NDVI threshold method. A large area and its threeinner subareas were selected for the accuracy evaluation based on the data of E. prolifera extracted from quasisynchronous ZY-3 satellite with 5.8 m spatial resolution. We found that the error of E. prolifera area, extracted from the linear mixed model with a NDVI threshold of 0.04, was the smallest, and the errors of the large area and its three subareas were 7.86%, 14.59%, -7.65% and -0.15% respectively. Hence, we provide a method that can effectively eliminate interference from the E. prolifera mixed pixel and non E. prolifera pixel, and greatly improve the inversion precision which is stable in different regions. This method can provide support for the management decision and evaluation of E. prolifera ecological disaster.

Key words: inorganic sulfur form, bare flat, seaward invasion, Spartina alterniflora marsh, Minjiang River estuary

丁一,曹丛华,程良晓,王宁,温连杰. 基于线性混合模型和NDVI阈值法的MODIS影像黄海浒苔监测[J]. 生态学杂志.

DING Yi, CAO Cong-hua, CHENG Liang-xiao, WANG Ning, WEN Lian-Jie. Monitoring of Enteromorpha prolifera in the Yellow Sea with MODIS image based on linear mixing model and NDVI threshold.[J]. cje.

[1]	李玲,杨平,谭立山,仝川. 闽江河口短叶茳芏湿地及围垦养虾塘的沉积物CH₄和N₂O产生潜力 [J]. 生态学杂志, 2020, 39(2): 645-654.
[2]	王华,孙志高,李家兵,何涛,高会,王杰,林朋左,吴欣桐. 闽江口典型芦苇湿地与短叶茳芏湿地土壤碳氮含量的空间分布特征 [J]. 生态学杂志, 2018, 37(4): 1102-1110.
[3]	章文龙1,2,3,曾从盛1,2,3**,陈晓艳1,林伟1. 闽江河口湿地土壤速效磷时空分布与来源 [J]. 生态学杂志, 2015, 34(1): 168-174.
[4]	高灯州1,3,章文龙1,3,陈美田1,张新中1,曾从盛2,3**. 秋茄类胡萝卜素含量高光谱反演 [J]. 生态学杂志, 2014, 33(11): 3053-3059.
[5]	曾从盛^1,2,3,4;张林海;仝川^1,2,3,4. 闽江河口湿地短叶茳芏氮、磷含量与积累量季节变化 [J]. 生态学杂志, 2009, 28(05): 788-794 .