Advancing Remote Sensing of Forest and Ecosystem Health Across Scales
Advancing Remote Sensing of Forest and Ecosystem Health Across Scales
Session ID#: 279387
Session Description:
Remote sensing is transforming the characterization of forest and ecosystem health across spatial scales, from individual tree condition to landscape-level patterns of disturbance and carbon dynamics. Emerging observations from unmanned aerial vehicles (UAVs), airborne, and satellite platforms provide new opportunities to detect disease, structural change, and environmental stress while advancing scalable ecosystem monitoring.
This session invites contributions that use optical, hyperspectral, thermal, light detection and ranging (LiDAR), and synthetic aperture radar (SAR), as well as multi-sensor approaches, to assess forest structure, health, disturbance, and carbon-related processes. We welcome studies that integrate remote sensing with field data, ecological modeling, and management and decision-making applications, as well as work addressing key challenges related to scaling, uncertainty, and model transferability across ecosystems.
Co-Sponsor(s):
- GC - Global Environmental Change
- GH - GeoHealth
- IN - Informatics
Index Terms:
0428 Carbon cycling [BIOGEOSCIENCES]
0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0466 Modeling [BIOGEOSCIENCES]
0480 Remote sensing [BIOGEOSCIENCES]
Primary Convener: Ms. Swati Singh, PhD, Auburn University, College of Forestry, Wildlife and Environment, Auburn, United States
Convener: Swati Singh, Auburn University, College of Forestry, Wildlife and Environment, Auburn, United States
Student/Early Career Convener: Ms. Swati Singh, PhD, Auburn University, College of Forestry, Wildlife and Environment, Auburn, United States
See more of: Biogeosciences