JoVE
JoVE
Faculty Resource Center
Research
Behavior
Biochemistry
Biology
Bioengineering
Cancer Research
Chemistry
Developmental Biology
Engineering
Environment
Genetics
Immunology and Infection
Medicine
Neuroscience
JoVE Journal
JoVE Encyclopedia of Experiments
JoVE Chrome Extension
Education
Biology
Chemistry
Clinical
Engineering
Environmental Sciences
Pharmacology
Physics
Psychology
Statistics
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Videos Mapped to your Course
Authors
Librarians
High Schools
About
Sign-In
Sign In
Contact Us
Research
JoVE Journal
JoVE Encyclopedia of Experiments
Education
JoVE Core
JoVE Science Education
JoVE Lab Manual
High Schools
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
Close
Research
Behavior
Biochemistry
Bioengineering
Biology
Cancer Research
Chemistry
Developmental Biology
Engineering
Environment
Genetics
Immunology and Infection
Medicine
Neuroscience
Products
JoVE Journal
JoVE Encyclopedia of Experiments
Education
Biology
Chemistry
Clinical
Engineering
Environmental Sciences
Pharmacology
Physics
Psychology
Statistics
Products
JoVE Core
JoVE Science Education
JoVE Lab Manual
JoVE Quiz
JoVE Business
Videos Mapped to Your Course
Teacher Resources
Get in Touch
Instant Trial
Log In
EN
EN - English
CN - 中文
DE - Deutsch
ES - Español
KR - 한국어
IT - Italiano
FR - Français
PT - Português
Journal
/
Environment
/
利用卫星信息研究海面叶绿素与南海主要特征的关系
JoVE Journal
Environment
This content is Free Access.
JoVE Journal
Environment
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Please note that all translations are automatically generated.
Click here for the English version.
利用卫星信息研究海面叶绿素与南海主要特征的关系
DOI:
10.3791/61172-v
•
10:28 min
•
June 13, 2020
•
Huan-Huan Chen*
1,2
,
Rui Tang*
2
,
Hao-Ran Zhang*
1,2
,
Yi Yu
,
Yuntao Wang
1
College of Oceanography
,
Hohai University
,
2
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography
,
Ministry of Natural Resources
Chapters
00:04
Introduction
01:36
Sea Surface Temperature (SST) and Chlorophyll (CHL) Dataset Acquisition
02:32
Sea Level Anomaly (SLA), Wind Speed, and Topography Dataset Acquisition
03:45
Data Preprocessing
04:41
SST Front Detection
05:40
Spatial and Temporal Variability and Intercorrelation
06:31
Data Display
07:11
Results: Representative South China Sea (SCS) Surface CHL Analyses
09:24
Conclusion
Summary
Automatic Translation
English (Original)
العربية (Arabic)
中文 (Chinese)
Nederlands (Dutch)
français (French)
Deutsch (German)
עברית (Hebrew)
italiano (Italian)
日本語 (Japanese)
한국어 (Korean)
português (Portuguese)
русский (Russian)
español (Spanish)
Türkçe (Turkish)
Automatic Translation
从卫星观测中获得或派生的海面叶绿素、温度、海平面高度、风和正面数据为海洋的特征提供了有效的方法。介绍是一种全面研究这些数据的方法,包括总体平均值、季节周期和相互关系分析,以充分了解区域动态和生态系统。
Tags
Satellite Observation
Sea Surface Chlorophyll
South China Sea
Spatial And Temporal Variability
Sea Surface Temperature
Sea Level Anomaly
Wind Speed
Fronts
Empirical Orthogonal Function
Data Acquisition
MODIS Aqua
NetCDF
MATLAB
Marine Dynamics
Ecosystem
Article
Embed
ADD TO PLAYLIST
Usage Statistics
Related Videos
协议塑料微粒采样的海面和样品分析
原位
含甲烷沉积物中自黄铁矿的制备及应用模拟器硫同位素分析
一氧化氮气体防治害虫实验室熏蒸程序
蚂蚁视觉系统解剖学研究方法
利用常规 PCR 技术对柑桔叶片组织样品
Candidatus liberibacter
的特异和准确检测
基于图像的海底无脊椎动物及其栖息地调查方法大西洋扇贝落相机调查
植物感染试验: 以植物病原菌为载体的喷雾和伤口
介导接种
页岩中粒径与甲烷吸附能力关系的实验研究
选择与无选择生物鉴定研究
蛾 grisescens
的化蛹偏好及出现的成功
海上双壳贝类悬浮饲料定量装置的设计与应用
Read Article