Analsis of historical AVHRR PATMOS aerosol data in support of the long-term trend study. - Tom X.-P. Zhao; Istvan Laszlo; Andrew K. Heidinger; Changyong Cao; Dan Tarplay; Jerry Sullivan; Wei Guo 001; Aleksandar Jelenak (IGARSS, 2007)

An Evaluation of the GOES-R ABI Aerosol Retrieval Algorithm. - Hongqing Liu; Istvan Laszlo; Pubu Ciren; Mi Zhou; Shobha Kondragunta (IGARSS (3), 2008)

Testing and integration of JPSS VIIRS aerosol EDR algorithms and evaluation of upstream/downstream effects using the Algorithm Development Library (ADL). - Bigyani Das; Weizhong Chen; Qiang Zhao; Walter Wolf; Jingfeng Huang; Hai Zhang; Istvan Laszlo (IGARSS, 2016)

Exceptional events monitoring using S-NPP VIIRS aerosol products. - Shobha Kondragunta; Istvan Laszlo; Pubu Ciren; Hai Zhang; Hongqing Liu; Jingfeng Huang; Amy K. Huff (IGARSS, 2017)

JPSS Atmospheric Composition Products for Environmental Monitoring and Applications. - Murty Divakarla; Lihang Zhou; Lawrence E. Flynn; Shobha Kondragunta; Istvan Laszlo; Ivan Csiszar; Xingpin Liu; Antonia Gambacorta; Chris Barnet (IGARSS, 2019)

Non-Meteorological Application of New Generation Geostatinary Satellites. - Satya Kalluri; Ivan Csiszar; Shobha Kondragunta; Istvan Laszlo (IGARSS, 2019)

Evapotranspiration Data Product from NESDIS GET-D System Upgraded for GOES-16 ABI Observations. - Li Fang; Xiwu Zhan; Mitchell Schull; Satya Kalluri; Istvan Laszlo; Peng Yu; Corinne Minette Carter; Christopher Hain; Martha C. Anderson (Remote. Sens., 2019)

Shortwave Radiation Budget Products from GOES-R Series ABI. - Hye-Yun Kim; Istvan Laszlo; Hongqing Liu (IGARSS, 2020)

All-Weather Daily Evapotranspiration Data Product Based on Microwave and Thermal Infrared Satellite Observations. - Li Fang; Xiwu Zhan; Mitchell Schull; Satya Kalluri; Christopher Hain; Martha C. Anderson; Istvan Laszlo (IGARSS, 2021)

Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations. - Li Fang; Xiwu Zhan; Satya Kalluri; Peng Yu; Christopher Hain; Martha C. Anderson; Istvan Laszlo (Frontiers Big Data, 2022)