基于高分六号卫星观测数据监测太湖蓝藻水华研究OA
该文基于 2018 年和 2019 年的高分六号卫星数据,利用归一化差值植被指数实现太湖蓝藻水华的提取,验证红边波段对蓝藻水华的监测效果.结果表明,蓝藻水华在太湖的梅梁湾、湖心区北部和西太湖北部发生频次最多.但存在有代表性的最小整体和季节阈值范围,且整体阈值与夏季阈值相关性高;红边Ⅰ波段(0.71 波段)阈值范围的稳定性优于红边Ⅱ波段(0.75 波段)和近红外波段(0.83 波段),且最小阈值范围呈现为正态分布.因此,高分卫星具有监测太湖蓝藻水华的潜力,在业务上运用高分卫星能够对太湖蓝藻水华的暴发作出快速监测.
Based on the GF-6satellite data in 2018 and 2019,this paper uses the Normalized Difference Vegetation Index to extract cyanobacteria blooms in Taihu Lake,and verifies the excellent monitoring effect of red edge band on cyanobacteria blooms.The results show that cyanobacteria blooms occur most frequently in Meiliang Bay,the north of the central area of Taihu Lake and the northern part of West Taihu Lake.NDVI has a representative minimum global and seasonal threshold range,and the overall threshold has a high correlation with the summer threshold,and the stability of the threshold range of the red edge Ⅰ band(0.71 band)is better than that of the red edge Ⅱ band(0.75 band)and the near-infrared band(0.83 band),and the minimum threshold range is normal distribution.Therefore,the GF-6 satellite has the potential to monitor the cyanobacteria bloom in Taihu Lake and can be used to quickly monitor the outbreak of cyanobacteria bloom in Taihu Lake.
孙沄沆;文军;姜文;郑嘉树
成都信息工程大学 大气科学学院/高原大气与环境四川省重点实验室,成都 610225电子科技大学 格拉斯哥学院,成都 611731
环境科学
高分六号卫星蓝藻水华归一化差值植被指数太湖监测效果
GF-6 satellite satellitecyanobacteria bloomNormalized Difference Vegetation IndexTaihu Lakemonitoring effect
《科技创新与应用》 2024 (029)
21-26 / 6
成都信息工程大学大学生创新创业项目(202210621004);国家自然科学基金项目(42375032);成都信息工程大学科研项目(KYTZ201821)
评论