相关实验视频

Updated: May 16, 2025

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

绿潮覆盖面积的监测和预测基于多源遥感核聚变

T Yu¹, X W Peng², Y Wang²

¹College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai 201306, China; Donghai Laboratory, Zhoushan 316021, China.

Marine pollution bulletin

|April 3, 2025

概括

一种全新的全自动绿色潮提取方法 (FAGTE) 准确地使用卫星数据监测黄海的绿色潮. 这种方法提高了对生态灾害管理的预测准确度.

科学领域:

海洋生态海洋生态学
遥感科学是遥感的科学.
生态建模生态建模

背景情况:

绿色潮在黄海中构成反复出现的生态威胁.
准确的监测和预测对于管理这些事件至关重要.

研究的目的:

为黄海绿潮数据开发和验证一个全自动绿潮提取方法 (FAGTE).
为多分辨率卫星图像提出一种新的融合方法.
使用数学模型监测和预测绿色潮增长趋势.

主要方法:

从2021-2024年利用多源卫星遥感 (RS) 图像 (16-250米分辨率).
开发了FAGTE用于自动绿潮提取和不同分辨率的融合方法.
应用Gompertz和Logistic增长曲线模型用于趋势分析和预测.

主要成果:

FAGTE实现了超过91%的平均提取精度,在高分辨率图像上表现出色.
在2023年,最大的融合后绿潮覆盖面达到2262.12平方公里.
增长曲线模型显示出高准确性 (单一来源的R2>96%,融合数据>99%),预测开始/结束日期的预测误差很低.

结论:

FAGTE方法为提取黄海绿潮数据提供了一种强大而准确的方法.
数据融合技术增强了对绿潮范围的全面评估.
准确的预测模型为管理和减轻绿色潮影响提供了科学基础.

关键词:

覆盖面积覆盖面积的区域提取提取提取核聚变技术是可以实现的.绿色的潮绿色的潮监控监控监控监控多个源RS多个源RS.预测预测预测

更多相关视频

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

相关概念视频

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

Applications of GIS: Disaster Management and Emergency Response

Applications of GIS: Disaster Management and Emergency Response

Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...