TUP.P17: Machine Learning for Clouds, Dust, and Hazards
Tue, 18 Jul, 14:15 - 15:45 Pacific Time (UTC -7)
Location: Poster Area 17
Session Type: Poster
Session Chair: Valentine Bellet, Centre d'Etudes Spatiales de la Biosphère (CESBIO, Université de Toulouse, CNES/CNRS/INRAe/IRD/UPS) - ANITI
Track: AI and Big Data

TUP.P17.1: WILDFIRE DANGER FORECASTING WITH DEEP LEARNING UNDER LABEL NOISE
Spyros Kondylatos, Ioannis Prapas, National Observatory of Athens, University of Valencia, Greece; Ioannis Papoutsis, National Observatory of Athens, Greece; Gustau Camps-Valls, University of Valencia, Spain

TUP.P17.2: BILSTM−BIGRU: A FUSION DEEP NEURAL NETWORK FOR PREDICTING AIR POLLUTANT CONCENTRATION
Prasanjit Dey, Bianca Schoen Phelan, Technological University Dublin, Ireland; Soumyabrata Dev, University College Dublin, Ireland

TUP.P17.3: DETECTING CLOUD PRESENCE IN SATELLITE IMAGES USING THE RGB-BASED CLIP VISION-LANGUAGE MODEL
Mikolaj Czerkawski, Robert Atkinson, Christos Tachtatzis, University of Strathclyde, United Kingdom

TUP.P17.4: MACHINE LEARNING-BASED APPROACH FOR LANDSLIDE SUSCEPTIBILITY MAPPING USING MULTIMODAL DATA
Xianping Ma, Man-On Pun, School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, China, China; Ming Liu, MizarVision, Shanghai, China, China; Yang Wang, Xi'an Leitong Technology Co. Ltd, Xi'an, China, China

TUP.P17.5: PRECIPITATION-TRIGGERED LANDSLIDE PREDICTION IN NEPAL USING MACHINE LEARNING AND DEEP LEARNING
Kelsey Doerksen, Yarin Gal, Freddie Kalaitzis, Simon Dadson, University of Oxford, United Kingdom; Cristian Rossi, Satellite Applications Catapult, United Kingdom; David Petit, Deimos Space, United Kingdom; Sihan Li, University of Sheffield, United Kingdom

TUP.P17.6: RESIDUAL U-NET WITH ATTENTION FOR DETECTING CLOUDS IN SATELLITE IMAGERY
Parnia Shokri, Alexander De Souza, SkyWatch Space Applications Inc., Canada

TUP.P17.8: RETRIEVAL OF PM2.5 IN XI'AN WITH MACHINE LEARNING AND SUPER RESOLUTION ALGORITHM IN 2015-2021
Mengxuan Chen, Juepeng Zheng, Haohuan Fu, Tsinghua University, China

TUP.P17.9: A REMOTE SENSING IMAGE DEHAZING NETWORK BASED ON DARK CHANNEL ATTENTION MECHANISM
Zongbao Liang, Jindong Xu, Fei Jia, Yijie Wang, Jie Wang, Yantai University, China; ,

TUP.P17.10: SATELLITE IMAGE AUGMENTATION VIA SEAMLESS INSTANCE BLENDING FOR BUILDING DAMAGE SEGMENTATION
Sebastian Gapp, Nina Merkle, Corentin Henry, German Aerospace Center, Germany

TUP.P17.11: DEEPTRCY: LIFE STAGE IDENTIFICATION OF SATELLITE TROPICAL CYCLONE IMAGES
HIDETOMO SAKAINO, Natnapat Gaviphatt, Alivanh Insisiengmay, Louie Zamora, Dwi Fetiria Ningrum, Weathernews Inc., Japan; Shunji Kotsuki, Chiba University, Japan

TUP.P17.12: A NEW CLOUD FEATURE DIFFERENCE LOSS FOR ENHANCING THE DETECTION OF CLOUDS IN REMOTE SENSING IMAGES
Xinyi Xu, Wei He, Yu Xia, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China; Hongyan Zhang, School of Computer, China University of Geosciences, Wuhan, China