遥感在气候变化,土地科学和强天气的应用

课程编码：0705I0D01007H 英文名称：Applications of Remote Sensing on Climate Change, Land Science and Severe Weather 课时：60 学分：4.00 课程属性：一级学科核心课 主讲教师：戚友存等

This course introduces the fundamentals, commonly used methods, and applications of remote sensing, and emphasizes the use of remote sensing data for studying climate change, land use change and severe weather forecasting. Climate change and land use change are the most important components of global change studies. This course would provide a comprehensive examination of land use change in the context of global environmental change, together with a practical guide for interpreting satellite imagery in severe weather situations. We will first learn the basics of remote sensing and fundamentals essential for understanding severe weather following by the remote sensing data analyses methods. Then these knowledge and tools will be used to understand the climate and land use changes as well as to improve severe weather forecasting at regional, national, and global scales. We will better understand the global change issues by examining socioeconomic drivers and physical and biological impacts of land use change and climate change.

Remote Sensing, Climate Change, Land Science

第一章 Basic of Remote Sensing 16学时
第1节 Electromagnetic Radiation Principles
第2节 Elements of Visual Image Interpretation
第3节 Multispectral Remote Sensing Systems
第4节 Hyperspectral Remote Sensing Systems
第5节 Thermal Remote Sensing Systems
第6节 Active and Passive Microwave Remote Sensing
第7节 Basic of Remote Sensing for climate change
第8节 Major Sensors for monitoring climate change
第9节 Basic of Remote Sensing for land use change
第10节 Major Sensors for monitoring land use change
第11节 Fundamentals in Radar and Satellite imagery and severe weather
第12节 Basic information measured by satellites and radar
第二章 Methods of data processing and analyses 12学时
第1节 Methods of data processing and analyses
第2节 Data processing
第3节 Data visualization
第4节 Land classification methods
第5节 Machine learning, etc.
第6节 Interpreting satellite imagery of Severe weather analyses
第7节 Interpreting radar imagery of Severe weather analyses
第三章 Remote Sensing of Climate Change 8学时
第1节 Generating the remote sensing data
第2节 Existing climate data and the applications
第3节 Data collection (Satellite, GPM, DPR)
第4节 Accuracy Assessment
第5节 Rainfall types and changes
第6节 Snow coverage and depth monitoring
第四章 Remote Sensing of Land Use Change 4学时
第1节 Existing land use maps and the applications
第2节 Field Data Collection (Google Earth, Field Photos, and Visual Interpretation of images)
第3节 Land use mapping and change detection
第4节 Accuracy Assessment
第5节 Agricultural land use change
第6节 Forest changes monitoring
第五章 Remote Sensing of Severe Weather 8学时
第1节 Initiation, maintenance, and properties of convection in an extreme rainfall event: Observational analysis
第2节 Convective Properties of Monsoon Precipitation Systems
第3节 Deep Convection Analysis over the Tibetan Plateau Using CloudSat/CALIPSO Observations
第4节 Synoptic Pattern and Severe Weather Associated with the Wide Convection
第5节 Extreme-Rain-Producing Mesoscale Convective System along a Mei-Yu Front

Prof Youcun Qi received his Ph.D. degree from the Nanjing University of Information Science and Technology, China, in 2011. He has been a professor at the Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), since 2017. He serves as an Associate Editor of the Journal of Hydrometeorology and Editor of Advances in Atmospheric Sciences.