Radiative Transfer over Land Surfaces: Observations, Modeling, Inversion, and Applications
Radiative Transfer over Land Surfaces: Observations, Modeling, Inversion, and Applications
Session ID#: 279620
Session Description:
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 AI/ML 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 climate science from the RT perspective.
Co-Sponsor(s):
- A - Atmospheric Sciences
- C - Cryosphere
- EP - Earth and Planetary Surface Processes
- H - Hydrology
Index Terms:
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
3359 Radiative processes [ATMOSPHERIC PROCESSES]
Primary Convener: Dalei Hao, Pacific Northwest National Laboratory, Atmospheric, Climate, & Earth Sciences Division, Richland, WA, United States
Conveners: Yelu Zeng, CAU China Agricultural University, College of Land Science and Technology, Beijing, China, Chen Min, University of Wisconsin Madison, Department of Forest and Wildlife Ecology, Madison, WI, United States and Tiangang Yin, The Hong Kong Polytechnic University, Hong Kong, Hong Kong
Student/Early Career Convener: Haoran Liu, University of Wisconsin Madison, Forest and Wildlife Ecology, Madison, WI, United States
See more of: Biogeosciences