Enter Note Done
Go to previous page in this tab
Session
  • Oral
  • Bookmark Icon
  • B43C: Radiative Transfer over Land Surfaces: Observations, Modeling, Inversion, and Applications II Oral
  • Schedule
    Notes
  • Location Icon265-266
    NOLA CC
    Set Timezone
  •  
    View Map

Generic 'disconnected' Message
Primary Convener:
Dalei Hao, Pacific Northwest National Laboratory

Convener:
Yelu Zeng, China Agricultural University
Min Chen, University of Wisconsin Madison
Tiangang Yin, The Hong Kong Polytechnic University
Haoran Liu, University of Wisconsin Madison

Chair:
Yelu Zeng, China Agricultural University
Min Chen, University of Wisconsin Madison
Tiangang Yin, The Hong Kong Polytechnic University
Haoran Liu, University of Wisconsin Madison

Radiative transfer (RT) over land surfaces represents the intricate interplay between electromagnetic waves and Earth surface’s elements. It plays a pivotal role in physically interpreting remote sensing signals, quantitatively retrieving information on surface composition, structure and functioning, and determining surface energy balance and absorbed radiative energy for photosynthesis, snowmelt, etc. This session aims to bring together those interested in developing, improving, verifying and applying soil-snow-vegetation RT models from ultraviolet, optical (including multi-spectral, hyperspectral, LiDAR, and SIF), thermal, and microwave spectra across scales. Contributions are encouraged within broad themes: 1) field measurements and remote sensing observations; 2) forward, mechanistic modeling and understanding of RT processes; 3) quantitative retrievals of surface parameters; 4) utilization of ML/DL for RT emulation, acceleration and inversion; 5) integration and representation of RT processes in land-surface-models and Earth-system-models; 6) integrative use of diverse data and models for ecohydrological applications and Earth system sciences from the RT perspective.

Index Terms
3359 Radiative processes
0439 Ecosystems, structure and dynamics
0466 Modeling
0480 Remote sensing

Neighborhoods:
3. Earth Covering

Scientific Discipline
Neighborhood
Type
Where to Watch
Presentations
Discussion