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Juan Carlos Laso Bayas

Showing results (1-10 of 10) with videos related to

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Science (New York, N.Y.)|October 28, 2017
Comment on "The extent of forest in dryland biomes"Dmitry Schepaschenko, Steffen Fritz, Linda See, et al.
Remote Sensing|July 25, 2020
Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of TanzaniaJuan Carlos Laso Bayas, Linda See, Christoph Perger, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 9, 2011
Influence of coastal vegetation on the 2004 tsunami wave impact in west AcehJuan Carlos Laso Bayas, Carsten Marohn, Gerd Dercon, et al.
Plos One|July 13, 2023
Building a community-based open harmonised reference data repository for global crop mappingHendrik Boogaard, Arun Kumar Pratihast, Juan Carlos Laso Bayas, et al.
Nature Communications|May 5, 2022
Estimating global economic well-being with unlit settlementsIan McCallum, Christopher Conrad Maximillian Kyba, Juan Carlos Laso Bayas, et al.
Scientific Data|June 14, 2017
A global dataset of crowdsourced land cover and land use reference dataSteffen Fritz, Linda See, Christoph Perger, et al.
Iscience|March 5, 2025
New directions in mapping the Earth's surface with citizen science and generative AILinda See, Qingqing Chen, Andrew Crooks, et al.
Global Change Biology|December 15, 2018
Estimating the global distribution of field size using crowdsourcingMyroslava Lesiv, Juan Carlos Laso Bayas, Linda See, et al.
Scientific Data|April 2, 2022
Drivers of tropical forest loss between 2008 and 2019Juan Carlos Laso Bayas, Linda See, Ivelina Georgieva, et al.
Scientific Data|September 27, 2017
A global reference database of crowdsourced cropland data collected using the Geo-Wiki platformJuan Carlos Laso Bayas, Myroslava Lesiv, François Waldner, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Science (New York, N.Y.)|October 28, 2017
Comment on "The extent of forest in dryland biomes"Dmitry Schepaschenko, Steffen Fritz, Linda See, et al.
Remote Sensing|July 25, 2020
Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of TanzaniaJuan Carlos Laso Bayas, Linda See, Christoph Perger, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 9, 2011
Influence of coastal vegetation on the 2004 tsunami wave impact in west AcehJuan Carlos Laso Bayas, Carsten Marohn, Gerd Dercon, et al.
Plos One|July 13, 2023
Building a community-based open harmonised reference data repository for global crop mappingHendrik Boogaard, Arun Kumar Pratihast, Juan Carlos Laso Bayas, et al.
Nature Communications|May 5, 2022
Estimating global economic well-being with unlit settlementsIan McCallum, Christopher Conrad Maximillian Kyba, Juan Carlos Laso Bayas, et al.
Scientific Data|June 14, 2017
A global dataset of crowdsourced land cover and land use reference dataSteffen Fritz, Linda See, Christoph Perger, et al.
Iscience|March 5, 2025
New directions in mapping the Earth's surface with citizen science and generative AILinda See, Qingqing Chen, Andrew Crooks, et al.
Global Change Biology|December 15, 2018
Estimating the global distribution of field size using crowdsourcingMyroslava Lesiv, Juan Carlos Laso Bayas, Linda See, et al.
Scientific Data|April 2, 2022
Drivers of tropical forest loss between 2008 and 2019Juan Carlos Laso Bayas, Linda See, Ivelina Georgieva, et al.
Scientific Data|September 27, 2017
A global reference database of crowdsourced cropland data collected using the Geo-Wiki platformJuan Carlos Laso Bayas, Myroslava Lesiv, François Waldner, et al.
Pageof 1