Super-Resolution of BVOC Maps by Adapting Deep Learning Methods

• Published in: 2023 IEEE International Conference on Image Processing (ICIP) pp. 1650 - 1654
• Main Authors: Giganti, Antonio, Mandelli, Sara, Bestagini, Paolo, Marcon, Marco, Tubaro, Stefano
• Format: Conference Proceeding
• Language: English
• Published: IEEE 08.10.2023
• Subjects: Air quality; Biogenic Emissions; BVOC; Compounds; Data models; Image Super-Resolution; Isoprene; Neural networks; Reliability; Superresolution; Volatile organic compounds

Biogenic Volatile Organic Compounds (BVOCs) play a critical role in biosphere-atmosphere interactions, being a key factor in the physical and chemical properties of the atmosphere and climate. Acquiring large and fine-grained BVOC emission maps is expensive and time-consuming, so most available BVOC...