MOPB.PA.59

EXPLORING SOIL MOISTURE AND SOLAR-INDUCED FLUORESCENCE DYNAMICS WITH DOWNSCALED SATELLITE SMAP DATA

Yan Jin, Haoyu Fan, Zeshuo Li, Yan Jia, Hongyan Liu, School of Internet of Things, Nanjing University of Posts and Telecommunications, China
Session:
MOPB.PA: Give Earth a Chance: Artificial Intelligence Meets Remote Sensing for Environmental Monitoring II Poster
Track:
Community-Contributed Sessions
Location:
Poster Area 4: Trianti Balcony
Presentation Time:
Mon, 8 Jul, 15:20 - 16:20
Session Co-Chairs:
Agata M. Wijata, KP Labs / Silesian University of Technology and Jakub Nalepa, KP Labs / Silesian University of Technology
Presentation
Discussion
Resources
No resources available.
Session MOPB.PA
MOPB.PA.59: EXPLORING SOIL MOISTURE AND SOLAR-INDUCED FLUORESCENCE DYNAMICS WITH DOWNSCALED SATELLITE SMAP DATA
Yan Jin, Haoyu Fan, Zeshuo Li, Yan Jia, Hongyan Liu, School of Internet of Things, Nanjing University of Posts and Telecommunications, China
MOPB.PA.60: AN END-TO-END POINT-SUPERVISED METHOD FOR SEMANTIC SEGMENTATION OF HIGH-RESOLUTION REMOTE SENSING IMAGES
Yinxia Cao, Qihao Weng, The Hong Kong Polytechnic University, China
MOPB.PA.61: PM2.5 PREDICTION COMBINED ANFIS WITH META-HEURISTIC OPTIMIZATION ALGORITHMS: A CASE STUDY IN WUHAN
Yapei Qin, Uqba Ramzan, Wuhan University, China; Mohammed A. A. Al-qaness, Zhejiang Normal University, China; Hong Fan, Wuhan University, China
MOPB.PA.62: CORRELATION OF CARBON MONOXIDE LEVELS BETWEEN GROUND MEASUREMENTS AND SENTINEL-5P SATELLITE DATA USING ARTIFICIAL INTELLIGENCE MODELS
Dawid Jurczyński, Silesian University of Technology, Poland
MOPB.PA.63: BAYESIAN NETWORK ANALYSIS OF LAND-ATMOSPHERE INTERACTIONS AFFECTING BURNED AREAS IN INDIA DURING THE 2022 SOUTH ASIA HEATWAVE
Amir Mustofa Irawan, Universitat Politècnica de Catalunya, Spain; Mercè Vall-llossera, Carlos López-Martínez, Institut d’Estudis Espacials de Catalunya, Spain; Adriano Camps, ASPIRE Visiting International Professor, UAE University CoE, United Arab Emirates; David Chaparro, German Aerospace Center, Germany; Gerard Portal, Institut d’Estudis Espacials de Catalunya, Spain; Miriam Pablos, Alberto Alonso-González, Universitat Politecnica de Catalunya, Spain; ,
MOPB.PA.64: A MODIFIED U-NET FOR OIL SPILL SEMANTIC SEGMENTATION IN SAR IMAGES
Lena Chang, Yi-Ting Chen, National Taiwan Ocean University, Taiwan; Yang-Lang Chang, National Taipei University of Technology, Taiwan
MOPB.PA.65: Super-Resolution of Geostationary Satellite Observations Based on Low Earth Orbit Satellite Measurements and Deep Learning
Yifan Yang, Haonan Chen, Colorado State University, United States
Resources
No resources available.