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Kristofer Lasko
Kristofer Lasko
Geospatial Research Laboratory, Engineer Research and Development Center
Verified email at terpmail.umd.edu
Title
Cited by
Cited by
Year
Trends in vegetation fires in south and southeast Asian countries
KP Vadrevu, K Lasko, L Giglio, W Schroeder, S Biswas, C Justice
Scientific reports 9 (1), 7422, 2019
1722019
Mapping double and single crop paddy rice with Sentinel-1A at varying spatial scales and polarizations in Hanoi, Vietnam
K Lasko, KP Vadrevu, VT Tran, C Justice
IEEE Journal of Selected Topics in Applied Earth Observation and Remote …, 2018
1612018
Vegetation fires, absorbing aerosols and smoke plume characteristics in diverse biomass burning regions of Asia
KP Vadrevu, K Lasko, L Giglio, C Justice
Environmental Research Letters 10 (10), 2015
1502015
Analysis of Southeast Asian pollution episode during June 2013 using satellite remote sensing datasets
KP Vadrevu, K Lasko, L Giglio, C Justice
Environmental Pollution, 2014
1302014
Improved rice residue burning emissions estimates: Accounting for practice-specific emission factors in air pollution assessments of Vietnam
K Lasko, K Vadrevu
Environmental pollution 236, 795-806, 2018
1242018
Analysis of air pollution over Hanoi, Vietnam using multi-satellite and MERRA reanalysis datasets
K Lasko, KP Vadrevu, TTN Nguyen
PloS one 13 (5), e0196629, 2018
1202018
Satellites may underestimate rice residue and associated burning emissions in Vietnam
K Lasko, KP Vadrevu, VT Tran, E Ellicott, TTN Nguyen, HQ Bui, C Justice
Environmental Research Letters 12 (8), 085006, 2017
1162017
Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period
KP Vadrevu, A Eaturu, S Biswas, K Lasko, S Sahu, JK Garg, C Justice
Scientific reports 10 (1), 16574, 2020
1132020
Factors Controlling Vegetation Fires in Protected and Non-Protected Areas of Myanmar
COJ Sumalika Biswas, Krishna Prasad Vadrevu, Zin Mar Lwin, Kristofer Lasko
PLoS ONE 10 (4), 2015
1122015
Intercomparison of MODIS AQUA and VIIRS I-Band fires and emissions in an agricultural landscape—Implications for air pollution research
K Vadrevu, K Lasko
Remote Sensing 10 (7), 978, 2018
922018
Vegetation Fires and Air Pollution in Vietnam
TH Le, NT Nguyen, K Lasko, S Ilavajhala, KP Vadrevu, C Justice
Environmental Pollution, 2014
882014
Fire regimes and potential bioenergy loss from agricultural lands in the Indo-Gangetic Plains
K Vadrevu, K Lasko
Journal of Environmental Management 148, 10-20, 2015
862015
Fire disturbance in tropical forests of Myanmar—Analysis using MODIS satellite datasets
S Biswas, KD Lasko, KP Vadrevu
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
792015
Improvement of land-cover classification over frequently cloud-covered areas using Landsat 8 time-series composites and an ensemble of supervised classifiers
CD Man, TT Nguyen, HQ Bui, K Lasko, TNT Nguyen
International Journal of Remote Sensing 39 (4), 1243-1255, 2018
782018
Spatiotemporal analysis of ground and satellite-based aerosol for air quality assessment in the Southeast Asia region
TTN Nguyen, HV Pham, K Lasko, MT Bui, D Laffly, A Jourdan, HQ Bui
Environmental pollution 255, 113106, 2019
312019
Incorporating Sentinel-1 SAR imagery with the MODIS MCD64A1 burned area product to improve burn date estimates and reduce burn date uncertainty in wildland fire mapping
K Lasko
Geocarto International, 2019
312019
Air pollution emission inventory and air quality modeling for Can Tho City, Mekong Delta, Vietnam
HQ Bang, VHN Khue, NT Tam, K Lasko
Air Quality, Atmosphere & Health 11, 35-47, 2018
232018
PM2.5 Emissions from Biomass Burning in South/Southeast Asia: Uncertainties and Trade-Offs
K Lasko, KP Vadrevu, V Bandaru, TNT Nguyen, HQ Bui
Biomass Burning in South and Southeast Asia Impacts on the Biosphere 2, 149-169, 2021
182021
Spatial variations in vegetation fires and emissions in South and Southeast Asia during COVID-19 and pre-pandemic
K Vadrevu, A Eaturu, E Casadaban, K Lasko, W Schroeder, S Biswas, ...
Scientific Reports 12 (1), 18233, 2022
172022
Gap filling cloudy Sentinel-2 NDVI and NDWI pixels with multi-frequency denoised C-band and L-band Synthetic Aperture Radar (SAR), texture, and shallow learning techniques
K Lasko
Remote Sensing 14 (17), 4221, 2022
72022
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