KAUST's Hydrology, Agriculture and Land Observation Lab (HALO) uses remote sensing tools like drones to map and monitor agricultural sites, including one of the world's largest olive farms in Al Jouf. They also collaborate with the Ministry of Environment, Water and Agriculture of Saudi Arabia and the Center for Desert Agriculture. HALO's mangrove project focuses on carbon sequestration by Avicennia marina mangroves in the Red Sea as part of the KAUST Circular Carbon Initiative. Why it matters: This research contributes to understanding and promoting the conservation of mangrove ecosystems for carbon neutrality in line with Saudi Arabia's sustainability goals.
A KAUST-led team used acoustic technology and net sampling to explore ocean depths in 146 locations worldwide. They found that the biomass of pelagic organisms in the deep sea is much larger than previously thought, especially below productive waters. Deep-sea fauna migrates to shallower areas to feed, transporting carbon to the deep sea. Why it matters: This suggests the ocean's carbon pump is more effective than previously understood, with implications for climate change mitigation strategies.
MBZUAI, in partnership with IBM Research, is developing GeoChat+, a vision-language model (VLM) for multi-modal, temporal remote sensing image analysis. GeoChat+ builds on the previous GeoChat model, enhancing capabilities with multi-modal images from various Earth observation systems like Sentinel-1, Sentinel-2, Landsat, and high-resolution imagery. GeoChat+ will integrate data from multiple satellites at different times to detect environmental changes and analyze the impact on soil quality, air quality, and erosion. Why it matters: This advancement promises to revolutionize geographic data analysis, providing detailed reports for high-risk regions and aiding reforestation efforts.
KAUST's Hydrology and Land Observation (Halo) lab, led by Matthew McCabe, is using drones and satellites to monitor agricultural water usage in Saudi Arabia. They employ thermal cameras, sensors, and imagery from CubeSats to map crop types, health, and water stress. The team uses machine learning and AI to analyze the images, aiming to promote sustainable water management. Why it matters: This research addresses critical water scarcity issues in the region by providing data-driven insights for more efficient agricultural practices.
KAUST researchers from the Red Sea Research Center (RSRC) and Computational Bioscience Research Center (CBRC) found macroalgae DNA prevalent in the open ocean, up to 5,000 km from coastal areas. 69% of drifting macroalgae sinks below 1,000 m depth, sequestering carbon in deep ocean waters. The study used metagenomes generated by global ocean expeditions Tara Oceans and Malaspina, analyzed via KAUST's DMAP platform and Shaheen supercomputer. Why it matters: The findings confirm the role of macroalgae in carbon sequestration, highlighting their importance in blue carbon assessments for climate change mitigation and underscoring KAUST's contribution to environmental sustainability research.