Juan Carlos Laso Bayas

Author

International Institute for Applied Systems Analysis ORCID

Also Known As

Bayas, Juan Carlos Laso, J. C. Laso-Bayas, J.-C. Laso Bayas, J.C. Laso Bayas, Juan Carlos Laso Bayas, Juan Laso Bayas, Juan-Carlos Laso Bayas, Laso Bayas, J.C., Laso Bayas, Juan Carlos

Publications

1.7K

Citations

H-Index

Concepts

All Affiliations

International Institute for Applied Systems Analysis Joint Research Centre Flemish Institute for Technological Research University of Maryland, College Park UCLouvain

About

Juan Carlos Laso Bayas is an author at International Institute for Applied Systems Analysis specializing in geography, engineering, and land use.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	16	16	664
2	Social Sciences	12	12	468
3	Public Health	6	6	251
4	Management	2	2	137
5	Civil Engineering	1	1	99

Juan Carlos Laso Bayas

Publications

1.6K

Citations

H-Index

Page 1

	Year	Citations
A comparison of global agricultural monitoring systems and current gaps Steffen Fritz, Linda See, Juan Carlos Laso Bayas, Agricultural Systems	2018	302
Estimating the global distribution of field size using crowdsourcing Myroslava Lesiv, Juan Carlos Laso Bayas, Linda See, Global Change Biology	2018	192
Influence of coastal vegetation on the 2004 tsunami wave impact in west Aceh Juan Carlos Laso Bayas, Carsten Marohn, Gerd Dercon, Proceedings of the National Academy of Sciences	2011	107
Technologies to Support Community Flood Disaster Risk Reduction Ian McCallum, Wei Liu, Linda See, International Journal of Disaster Risk Science New TechnologiesEnvironmental MonitoringEngineeringFlood ControlNatural Hazard Assessment	2016	99
Accounting for Training Data Error in Machine Learning Applied to Earth Observations Arthur Elmes, Hamed Alemohammad, Ryan Avery, Remote Sensing Earth ObservationEngineeringMachine LearningSpatial UncertaintyLand Cover	2020	99
A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform Juan Carlos Laso Bayas, Myroslava Lesiv, François Waldner, Scientific Data	2017	87
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery in Google Earth and Microsoft Bing Maps as a Source of Reference Data Myroslava Lesiv, Linda See, Juan Carlos Laso Bayas, Land Earth ObservationHigh ResolutionEngineeringMicrosoft Bing MapsLand Use	2018	78
WorldCereal: a dynamic open-source system for global-scale, seasonal, and reproducible crop and irrigation mapping Kristof Van Tricht, Jeroen Degerickx, Sven Gilliams, Earth system science data Precision AgricultureEngineeringLand UseCropping SystemAgricultural Economics	2023	74
Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology Juan Carlos Laso Bayas, Linda See, Steffen Fritz, Remote Sensing EngineeringLand UseSmart CityLand CoverSocial Sciences	2016	60
Estimating global economic well-being with unlit settlements Ian McCallum, Christopher C. M. Kyba, Juan Carlos Laso Bayas, Nature Communications	2022	60

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