Langning Huo

I am a remote sensing scientist conducting fundamental research on forest health and tree stress dynamics. My work focuses on developing and applying advanced Earth observation techniques—including hyperspectral and multispectral drone imaging, satellite data, and LiDAR—to understand how forests respond to climate-driven stressors such as drought, insect outbreaks, and diseases. By integrating spectral, physiological, and ecological data, I aim to uncover the early indicators of forest decline and improve our mechanistic understanding of stress processes at multiple spatial and temporal scales. My research supports the development of novel monitoring methodologies and contributes to long-term, sustainable forest management strategies in a changing climate.

• 2025–2028 STS4ForestStress: Developing Spectral, Temporal, and Spatial Analysis Techniques for Monitoring Forest Stress under Changing Climate, PI, 6.14 million SEK funded by Swedish Research Council Formas.
• 2026 – 2028 Uncover the mystery of the geographic hotspot of bark beetle outbreaks under a warmer and drier climate—a perspective of tree phenology supported by remote sensing and geospatial analysis techniques, PI, 2 million SEK funded by SLU Forest Damage Center
• 2025–2027 A co-aligned hyperspectral drone system for improved detection of forest stress, PI, 1.9 million SEK funded by the Kempestiftelserna.
• 2025–2027 Developing AI models to near-real-time monitor forest changes and damages at the national level, PI, 0.9 million SEK funded by the SLU Forest damage center and the Swedish Forest Agency.
• 2024–2026 Developing remote sensing to map forest stress using data from multiple sensors and platforms, PI, 1.6 million SEK funded by Skogsällskapet.
• 2024–2026 Data collection for developing remote sensing of forest drought damage, PI, 1.6 million SEK, co-funded by SLU Forest Damage Center, Kempestiftelserna, and Carl Tryggers Foundation for scientific research.
• 2023–2027 Developing remote sensing techniques for monitoring forest damage and disturbance in a changing climate, PI, 2.4 million SEK funded by the SLU Forest Damage Center. 
• 2023–2025 RESDINET, Network for novel remote sensing technologies in forest disturbance ecology, Horizon Europe Framework Programme, Co-PI, coordinator of SLU, In total EUR 1,495,880, shared EUR 383,333.
• 2022–2024 Developing hyperspectral drone imagery for improved monitoring of forest insect damages, PI, 3.1 million SEK, co-funded by Kempestiftelserna, SLU Forest Damage Center, Hildur & Sven Wingquist's foundation.
• 2022–2023 Research exchange for drone-based hyperspectral imagery for early detection of bark beetle infestations, PI, 1.6 million SEK, co-funded by Swedish innovation agency Vinnova, SLU Forest Damage Center, SLU Broderna Edlund Scholarship. 
• 2020–2022 Improved detection and prediction of spruce bark beetle infestations using multispectral drone images, PI, 2.6 million SEK, co-funded by Stiftenlsen Seydlitz MP companies, Stiftelsen Nils and Dorthi Troëdsson's research fund, Hildur & Sven Wingquist's foundation, SLU Forest Damage Center.
• 2020–2024 Mapping forest parameters and forest damage for sustainable forest management from data fusion of satellite data, MOST/ESA Dragon 5 Cooperation, PI.