IGARSS 2025 || Brisbane, Australia || 3

THP1.PA.1: DETECTING METHANE IN SATELLITE IMAGES USING DEEP ENSEMBLES

Karol Zieba, Jakub Nalepa, Agata M. Wijata, KP Labs / Silesian University of Technology, Poland

THP1.PA.2: A LONG-TERM GLOBAL HIGH RESOLUTION XCO2 PRODUCT USING MULTI-SOURCE DATA AND MACHINE LEARNING

Soomin Hwang, Hyunyoung Choi, Yoojin Kang, Jungho Im, Ulsan National Institute of Science and Technology, Korea (South)

THP1.PA.3: Mapping N₂O Emission Hotspots in Canadian Prairie Croplands: A Focus on Rule-Based Scenarios as base modelling architectural framework for a Hierarchical Classification Model

Kwabena Nketia, Thuan Ha, Hansanee Fernando, Sarah van Steenbergen, Richard Farrell, Preston Sorenson, Steve Shirtliffe, University of Saskatchewan, Canada

THP1.PA.4: SATELLITE-BASED APPROACHES FOR AIR QUALITY AND POLLUTION ASSESSMENTS IN URBAN AREAS USING GRADIENT BOOSTING ALGORITHM

Varsha Bhosale, Zeenat Mujawar, Ankita Pilvilkar, Nadim Shaikh, Vidyalankar Institute of Technology, India

THP1.PA.5: A MACHINE LEARNING-BASED GNSS PERFORMANCE PREDICTION FOR URBAN AIR MOBILITY USING ENVIRONMENT RECOGNITION

Dilip Motwani, Varsha Bhosale, Vidya Chitre, Vidyalankar Institute of Technology, India; Deepali Vora, Symbiosis Institute of Technology, India

THP1.PA.6: IMPROVING AIR QUALITY DATA BY TREATING MISSING VALUES WITH MACHINE LEARNING AND SPATIOTEMPORAL COVARIATES

Manoj Varma Datla, Subhojit Mandal, Mainak Thakur, Indian Institute of Information Technology Sri City, India

THP1.PA.7: Geotechnical characterisation of coal spoil piles using high-resolution optical and multispectral data: A machine learning approach

Sureka Thiruchittampalam, University of Moratuwa, Sri Lanka; Bikram Banerjee, University of Southern Queensland, Australia; Nancy Glenn, Boise State University, United States; Simit Raval, University of New South Wales, Australia

THP1.PA.8: AI-DRIVEN EXPLAINABLE FRAMEWORK FOR ADVANCED HYDROLOGICAL INSIGHTS IN AUSTRALIA'S GREAT ARTESIAN BASIN USING REMOTE SENSING DATA

Ritu Tanwar, Amity University, India; Pankaj R. Kaushik, WSP Australia, Australia; Christopher E. Ndehedehe, Griffith University, Australia

THP1.PA.9: Bushfire Progression Monitoring in Australia with Deep Learning on Sentinel-1 SAR Data

Lachlan Drake, University of Newcastle, Australia

THP1.PA.10: ComeonBoardPSG! How to empower PRISMA Second Generation high temperature events identification with on board Deep learning approach.

Stefania Amici, Filippo Sarvia, National Institute of Geophysics and Volcanology, Italy; Angela Cratere, Polytechnic University of Bari, Italy; Ilaria Cannizzaro, Mark Anthony De Lunas De Guzman, School of Aerospace Engineering, Sapienza University of Rome, Italy; Andrea Carbone, Sapienza University of Rome, Italy; Luigi Ansalone, Matteo Picchiani, Italian Space Agency, Italy; Dario Spiller, School of Aerospace Engineering, Sapienza University of Rome, Italy

THP1.PA.11: NOVEL DEEP LEARNING MODELS FOR ANALYZING SPECTRAL SIGNATURES OF MARINE POLLUTION

José Luis de León Carmona, Rogelio Hasimoto Beltran, Manuel Arturo Suarez Améndola, José Daniel Foronda Ortiz, Center for Research in Mathematics, Mexico

THP1.PA.12: MACHINE LEARNING-BASED REMOTE SENSING INVERSION OF URBAN RIVER WATER QUALITY: A CASE STUDY IN SHANGHAI

Zixuan Teng, Xiangyang Sun, Shanghai University, China; Zezhong Zheng, University of Electronic Science and Technology of China, China; Tengfei Yuan, Wei Xu, Shanghai University, China