IEEE GRSS
First Slide
2026 IEEE International Geoscience and Remote Sensing Symposium
9 - 14 August 2026 • Washington, D.C.
WEP1.PI: Remote Sensing for Sustainability, Disaster Response and Environmental Policy
Poster
Wed, 12 Aug, 09:45 - 11:00
Location: TBD
Session Type: Poster
Track: Data and Society
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WEP1.PI.3: The use of Earth Observation for the characterization of selected aquifers in South Africa
Mxolisi Mukhawana, Department Of Water And Sanitation, South Africa

WEP1.PI.4: POPRAG: A RETRIEVAL-AUGMENTED GENERATION FRAMEWORK USING CONSISTENT LANDSCAN POPULATION DATA FOR HUMANITARIAN CRISIS RESPONSE
Clinton Stipek, Nivedita Nukavarapu, Viswadeep Lebakula, Sarah Walters, Scott Basford, Abbie Faxon, Oak Ridge National Laboratory, United States; Claudio Silva, New York University, United States; Marie Urban, Oak Ridge National Laboratory, United States; Gomathi Lakshmanan, University of Tennessee, United States; Sudarshan Srinivasan, Amir Sadovnik, Oak Ridge National Laboratory, United States; Sai Swaminathan, University of Tennessee, United States

WEP1.PI.5: HIGH-RESOLUTION SAR DATA FOR DETECTING PLASTIC MARINE LITTER
Giovanni Anconitano, Marco Polcari, Christian Bignami, Marina Locritani, Filippo Muccini, Istituto Nazionale di Geofisica e Vulcanologia, Italy; Silvia Merlino, Marco Bianucci, Consiglio Nazionale delle Ricerche, Italy; Ferdinando Nunziata, Sapienza University of Rome, Italy

WEP1.PI.6: Improvement of Building Damage Identification from Satellite Images by CycleGAN-based Shadow Removal
Yizhi ZHANG, Hiroyuki MIURA, Tosei KOYAMA, Hiroshima University, China

WEP1.PI.7: VISION–LANGUAGE MODELS ASSISTED GROUND-LEVEL IMAGE GEOLOCALIZATION FOR DISASTER RESPONSE
Wenping Yin, China University of Mining and Technology, China; Hao Li, National University of Singapore, Singapore; Fabian Deuser, Technical University of Munich, Germany; Ziqi Liu, Wuhan University, China; Sheng Zhang, Shandong Agriculture and Engineering University, China; Yong Xue, China University of Mining and Technology, China

WEP1.PI.11: MAPPING DENGUE OCCURRENCE WITH EARTH OBSERVATION, SPATIAL DATA, STATISTICAL ANALYSIS AND MACHINE LEARNING
Achyutan Veeraraghavan, Sunset High School, United States; Anthony Campbell, University of Maryland, Baltimore County, United States

WEP1.PI.12: IMAGE SEGMENTATION WITH SAM3 FOR MARINE CONDITION MONITORING: A CASE STUDY OF VOLCANIC DISCOLORED-WATER REGIONS AROUND JAPAN
Kirara Kotani, Takashi Kobayashi, Kota Sato, Yuta Nakano, Masaki Hisada, NTT Space Environment and Energy Laboratories, Japan