TUPB.PA.67

SPATIAL TRANSFERABILITY AND TEMPORAL REPEATABILITY OF WATER QUALITY REMOTE SENSING INVERSION MODELS FOR INLAND LAKES AND RIVERS

Hongxing Liu, Ekaterina Miliutina, University of Alabama, United States; Haibin Su, Texas A&M University - Kingsville, United States; Richard Beck, University of Cincinnati, United States; Song Shu, Appalachian State University, United States; Yuehan Lu, University of Alabama, United States; Min Xu, Troy University, United States; Javar Henry, University of Alabama, United States; Lei Wang, Louisiana State University, United States; Sagy Cohen, University of Alabama, United States

Session:
TUPB.PA: Inland Waters II Poster

Track:
Land Applications

Location:
Poster Area 4: Trianti Balcony

Presentation Time:
Tue, 9 Jul, 16:20 - 17:20

Session Chair:
Gonçalo Rodrigues, University of Évora
Presentation
Discussion
Resources
No resources available.
Session TUPB.PA
TUPB.PA.62: Regional water stock monitoring hybridizing remote sensing and AI approaches in the Guadalquivir basin, Spain
Christophe Fatras, Jérémy Augot, Iris Lucas, Emeric Lavergne, CLS, France; Santiago Peña-Luque, Lionel Zawadzki, CNES, France; Alice Andral, CLS, France
TUPB.PA.63: Evaluation of Acolite Software for Atmospheric and Glint Correction in Sentinel-2 Imagery: Implications for Algae Bloom Monitoring in Eutrophic Reservoirs
Alba German, Francisco Nemiña, Mario Gulich Institute, CONAE-UNC, Argentina; Lino Sander de Carvalho, Meteorology Department, Federal University of Rio de Janeiro, Brazil; Giuliana Beltramone, Mario Gulich Institute, CONAE-UNC, Argentina; Matías Bonansea, National Council of Scientific Research and Technology, Argentina; Carlos Marcelo Scavuzzo, Anabella Ferral, Mario Gulich Institute, CONAE-UNC, Argentina
TUPB.PA.64: Dynamic monitoring of the Poyang Lake over the past two decades during the flood period and its response to the regional drought and flood disasters
Wenliang Jiang, Jiajun Zuo, Qiang Li, Yongsheng Li, National Institute oNatural Hazards Ministry of Emergency Management of the People’s Republic of China, China
TUPB.PA.65: EVALUATION OF SENTINEL-3 AND SENTINEL-6 DERIVED WATER LEVELS USING IN SITU DATA OVER NARROW RIVERS
Stylianos Kossieris, Valantis Tsiakos, Georgios Tsimiklis, Angelos Amditis, Institute of Communication and Computer Systems, Greece
TUPB.PA.66: Unveiling the Dynamics of Chlorophyll-a in Arid Oligotrophic Lakes: A Machine Learning Approach in Xinjiang, China
Zhenyu Tan, Northwest University, China; Hongtao Duan, Nanjing Institute of Geography and Limnology, China
TUPB.PA.67: SPATIAL TRANSFERABILITY AND TEMPORAL REPEATABILITY OF WATER QUALITY REMOTE SENSING INVERSION MODELS FOR INLAND LAKES AND RIVERS
Hongxing Liu, Ekaterina Miliutina, University of Alabama, United States; Haibin Su, Texas A&M University - Kingsville, United States; Richard Beck, University of Cincinnati, United States; Song Shu, Appalachian State University, United States; Yuehan Lu, University of Alabama, United States; Min Xu, Troy University, United States; Javar Henry, University of Alabama, United States; Lei Wang, Louisiana State University, United States; Sagy Cohen, University of Alabama, United States
TUPB.PA.68: SATELLITE RADAR ALTIMETRY INSIGHTS INTO DAM-INDUCED CHANGES AND ACCURACY OF WATER LEVEL ESTIMATION FOR THE MEKONG RIVER.
Tauqeer Ali, Arjumand Zaidi, Jasra Rehman, Farkhanda Noor, US-Pakistan Center for Advanced Studies in Water, Mehran University of Engineering and Technology, Sindh, Jamshoro, Pakistan; Falak Naz, Faculty of Environmental Science, Czech University of Life Sciences, Prague, Czech Republic., Pakistan; Shahryar Jamali, US-Pakistan Center for Advanced Studies in Water, Mehran University of Engineering and Technology, Sindh, Jamshoro, Pakistan
TUPB.PA.69: EXPLORING THE SPATIAL AND TEMPORAL DYNAMICS OF OPTICAL WATER TYPES (OWTs) IN PORTUGAL'S LARGEST WATER RESERVOIR OVER TWO DECADES USING NASA AND ESA SATELLITES
Gonçalo Rodrigues, Miguel Potes, Maria Costa, University of Évora, Portugal
TUPB.PA.70: IMPROVED DISSOLVED ORGANIC CARBON PREDICTION IN DIVERSE INLAND WATER BODIES: UTILIZING MACHINE LEARNING AND REMOTE SENSING
Subhojit Mandal, IIIT Sri City, India; Kamal Das, IBM Research, India, India; Mainak Thakur, IIIT Sri City, India; Manikandan Padmanaban, Jagabondhu Hazra, IBM Research, India, India
TUPB.PA.71: SPATIOTEMPORAL DYNAMICS OF THE TRICHONIDA – LYSIMACHIA LAKE COMPLEX IN WESTERN GREECE UNDER NATURAL AND ANTHROPOGENIC DRIVERS
Konstantinos Panousis, University of Patras, Greece; Konstantinos M. Andreadis, University of Massachusetts, United States; Andreas Langousis, University of Patras, Greece; Nikolaos Th. Fourniotis, University of the Peloponnese, Greece; Christoforos Pappas, University of Patras, Greece
TUPB.PA.72: EARLY WARNING SYSTEM FOR NUTRIENT RUN-OFF IN INLAND WATER BODIES: A METHODOLOGICAL FRAMEWORK UTILIZING EARTH OBSERVATION DATA.
Vasiliki Thomopoulou, Panagiotis Kossieris, George Bariamis, National Technical University of Athens, Greece; Ioannis Tsoukalas, Democritus University of Thrace, Greece; Christos Makropoulos, National Technical University of Athens, Greece
Resources
No resources available.