BNU Summer School 2022

Theory and Methods of Land Surface Remote Sensing Inversion

Beijing Normal University (China), 11th – 12th July 2022

           

            Beijing Normal University           State Key Laboratory

                                                                              of Remote Sensing Science

Introduction

The BNU Summer School 2022 (BNUSS 2022) “Theory and Methods of Land Surface Remote Sensing Inversion Summer School” will be held in Beijing, China. It will be merged into the twelfth Beijing Normal University Summer School on “Land Surface Satellite Data Inversion and Applications”.

 

Rational

Remote sensing using Earth-orbiting satellites, is one of the most effective tools for providing data that help researchers address global issues. In the past few decades, advances in remote sensing technology have greatly enhanced the potential applications of satellite data in many fields, and various models have been developed to transfer the raw satellite data into high-level products. This year’s Theory and Methods of Land Surface Remote Sensing Inversion Summer School in Beijing will offer to the attendees an opportunity to gain excellent introductory knowledge in various remote sensing data processing and models.

The focus will be on Masters, PhD students and early scientists dealing with remote sensing and geosciences topics.

 

Schedule

The planned course schedule is as follows (updating):



BNUSS 2022：Theory and Methods of Land Surface Remote Sensing Inversion Summer School （7.11-7.12）
Time		Content	Instructor	Institute
7.11	8:30-8:45	Opening Remarks
	9:00-10:20	Introduction of the Optical Remote Sensing Models	Qinhuo Liu	Aerospace Information Research Institute, CAS
	10:30-11:50	Modeling of 3D Forests Using Lidar Data	Wenkai Li	Sun Yat-Sen University
	14:00-15:20	DART: Remote Sensing and 3D Radiative Budget of Natural and Urban Landscapes	Jean-Philippe Gastellu-Etchegorry	Paul Sabatier University, France
	15:25-16:45	3D Radiative Transfer Modeling of Canopy with LESS: from Scene Construction to Model Application	Jianbo Qi	Beijing Forestry University
7.12	9:00-10:20	Remote Sensing of Surface Urban Heat Islands: Progress and Prospects	Conghe Song	University of North Carolina at Chapel Hill UNC, USA
	10:30-11:50	Remote Sensing of Land Surface Phenology	Xiaoyang Zhang	South Dakota State University, USA
	14:00-15:20	Terrestrial Carbon Fluxes Estimated Using Remote Sensing Driven Two-Leaf Models	Weimin Ju	Nanjing University
	15:25-16:45	Towards Better Spaceborne Estimation of Vegetation Photosynthesis: SIF, New Vegetation Index, and the Key Radiative Transfer Processes	Yelu Zeng	China Agricultural University

 

Registration

Interested students and researchers are encouraged to fill in the registration information by July 10.

1. Scan the WeChat QR code or copy the link below to your browser to fill in the registration form

 

 

 

 

 

 

Registration link：https://www.wjx.cn/vj/OtjYMQ5.aspx

2. Send the filled registration form to the following email crs@bnu.edu.cn。

 

Teaching methods

Online Course

 

 

For any questions, please email Ms. Wei at crs@bnu.edu.cn, or call 010-58802179.

 

 

 

Organizer of the committee

                                                June, 2022

Registration form