MO1.R13.5

MACHINE LEARNING BASED ENSEMBLE OF SATELLITE, PROCESS BASED MODEL AND STATIC CALCULATORS TO ESTIMATE GREENHOUSE GAS EMISSIONS

Kumar Saurav, Ranjini Bangalore Guruprasad, Manikandan Padmanaban, ISAAC WAWERU WAMBUGU, IBM, India
Session:
MO1.R13: Advancing Sustainability through Remote Sensing and Artificial Intelligence Oral
Track:
Community-Contributed Sessions
Location:
Room 105
Presentation Time:
Mon, 17 Jul, 13:48 - 14:00 Pacific Time (UTC -7)
Session Chair:
Kumar Saurav, IBM Bangalore
Session Manager:
HUMAIRA SANAM
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Session MO1.R13
MO1.R13.1: HYBRID ENSEMBLE MACHINE LEARNING METHODOLOGY FOR IMPROVED SURFACE SOIL MOISTURE ESTIMATION
Kamal Das, Jitendra Singh, IBM Research, India
MO1.R13.2: A CALIPSO OBSERVATION BASED 3-DIMENSIONAL TROPOSPHERIC AEROSOLCLASSIFICATION MODEL OVER THE INDIAN CITY DELHI
Avinash Bhojanapalli, Subhojit Mandal, Mainak Thakur, Indian Institute of Information Technology, Sri City, India; Kamal Das, IBM Research - India, India
MO1.R13.3: INVERSE MODELING OF CO2 USING KRIGED OCO2 DATA
Isaac Wambugu, Devyani lambhate, Ranjini Bangalore, IBM, Kenya
MO1.R13.4: Sustainable Farming - A Spatio-temporal adaptation of Late blight disease prediction using multi-modal data
Jagabondhu Hazra, Manikandan Padmanaban, IBM Research, India
MO1.R13.5: MACHINE LEARNING BASED ENSEMBLE OF SATELLITE, PROCESS BASED MODEL AND STATIC CALCULATORS TO ESTIMATE GREENHOUSE GAS EMISSIONS
Kumar Saurav, Ranjini Bangalore Guruprasad, Manikandan Padmanaban, ISAAC WAWERU WAMBUGU, IBM, India
Resources
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