THP.P20.8

AN IMPROVED CASA MODEL FOR ESTIMATING CROP CARBON SINKS FROM REMOTE SENSING IMAGES

Peng Wang, Chong Niu, China University of Mining and Technology, China; Long Zhang, Shandong GEO-Surveying & Mapping Institute, China; Zhigang Yan, Wenping Yin, Botao He, Pei Li, Yong Xue, China University of Mining and Technology, China
Session:
THP.P20: Agricultural Yield Estimation and Prediction II Poster
Track:
Land Applications
Location:
Poster Area 20
Presentation Time:
Thu, 20 Jul, 14:15 - 15:45 Pacific Time (UTC -8)
Session Chair:
Nicolas Baghdadi, INRAE
Session Managers:
HUMAIRA SANAM and Ayoti Banerjee and Imara Mohamed Nazar and sunni kanta prasad kushwaha
Presentation
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Session THP.P20
THP.P20.1: INCORPORATING FUTURE CLIMATE AND SOIL CONDITIONS INTO LAND SUITABILITY ANALYSIS FOR SUSTAINABLE CROP PRODUCTION
Nikolaos Karapetsas, Georgios Bilas, Aristotle University of Thessaloniki, Greece; Anne Gobin, KU Leuven, Belgium; Thomas Alexandridis, Eleni Katragkou, Vasileios Pavlidis, Aristotle University of Thessaloniki, Greece
THP.P20.2: DECOMPOSE THE UNCERTAINTY FOR CROP YIELD PREDICTION BY COMBINING DEEP ENSEMBLES WITH GAUSSIAN NLL LOSS
Doyoung Jeong, Yongjin Jeon, Minyoung Back, Hyunguk Choi, SI Analytics, South Korea
THP.P20.3: HIGH SPATIAL RESOLUTION FOR CROP YIELD PREDICTION IN LARGE FARMING SYSTEMS: A NECESSITY OR ADDITIONAL OVERHEAD
Stella Ofori-Ampofo, Technical University of Munich, Germany; Ridvan Salih Kuzu, German Aerospace Center, Germany; Xiao Xiang Zhu, Technical University of Munich, Germany
THP.P20.4: EXPLAINABILITY OF END AND MID-SEASON COTTON YIELD PREDICTORS IN CONUS
Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Istanbul Technical University, Turkey; Gustau Camps-Valls, Universitat de València, Spain
THP.P20.5: INFORMATIVE EARTH OBSERVATION VARIABLES FOR COTTON YIELD PREDICTION USING EXPLAINABLE BOOSTING MACHINE
Mehmet Furkan Celik, Mustafa Serkan Isik, Esra Erten, Gulsen Taskin, Istanbul Technical University, Turkey
THP.P20.6: SIMULATION OF REGIONAL COTTON GROWTH AND YIELD USING REMOTE SENSING DATA AND CROP MODEL IN WEST TEXAS
Bishnu Ghimire, Oluwatola Adedeji, Rupak Karn, Alwaseela Abdalla, Emily Wieber, Wenxuan Guo, Texas Tech University, United States
THP.P20.7: ESTIMATING CROP GRAIN YIELD AND SEED COMPOSITION USING DEEP LEARNING FROM UAV MULTISPECTRAL DATA
Maitiniyazi Maimaitijiang, Bruce Millet, South Dakota State University, United States; Sidike Paheding, Michigan Technological University, United States; Shahid Nawaz Khan, South Dakota State University, United States; Kamila Dilmurat, Saint Louis University, United States; Abel A. Reyes, Michigan Technological University, United States; Péter Kovács, South Dakota State University, United States
THP.P20.8: AN IMPROVED CASA MODEL FOR ESTIMATING CROP CARBON SINKS FROM REMOTE SENSING IMAGES
Peng Wang, Chong Niu, China University of Mining and Technology, China; Long Zhang, Shandong GEO-Surveying & Mapping Institute, China; Zhigang Yan, Wenping Yin, Botao He, Pei Li, Yong Xue, China University of Mining and Technology, China
THP.P20.9: Crop Predictive Insights: The Synergy of Deep Learning, Multi-Source Satellite Imagery and Weather Data
Pragneshkumar Patel, Sanjay Chaudhary, Ahmedabad University, India; Hasit Parmar, L. D. College of Engineering, India
THP.P20.10: MAPPING INDIAN RICE YIELDS THROUGH STATISTICAL MODELING USING SATELLITE AND CLIMATIC DATA
Mukund Narayanan, Idhayachandhiran Ilampooranan, Indian Institute of Technology Roorkee, India
THP.P20.11: THE RELIABILITY OF NORMALISED DIFFERENCE VEGETATION INDEX (NDVI) TO INDICATE HEALTH CONDITION FROM VEGETATIVE MEASUREMENT AND NUTRIENT CONTENT OF MATURE OIL PALM TREES FOR PRECISION AGRICULTURE
Nursuhaili Najwa Masrol, Mohammad Zafrullah Salim, Nurul Fatiha Md Nor, Nur Nadhirah Rusyda Rosnan, Rozilawati Ikhsan, Choon Cheak Sim, Sime Darby Plantation Research Sdn. Bhd., Malaysia
THP.P20.12: EVALUATING DATA AUGMENTATION FOR GRAPEVINE VARIETIES IDENTIFICATION
Gabriel Carneiro, Alexandre Neto, Ana Cláudia Teixeira, António Cunha, Joaquim J. Sousa, University of Trás-Os-Montes e Alto Douro, Vila Real, Portugal, Portugal
Resources
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