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Juan Carlos Laso Bayas
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Zitiert von
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A comparison of global agricultural monitoring systems and current gaps
S Fritz, L See, JCL Bayas, F Waldner, D Jacques, I Becker-Reshef, ...
Agricultural systems 168, 258-272, 2019
3032019
A global dataset of crowdsourced land cover and land use reference data
S Fritz, L See, C Perger, I McCallum, C Schill, D Schepaschenko, ...
Scientific data 4 (1), 1-8, 2017
1462017
Estimating the global distribution of field size using crowdsourcing
M Lesiv, JC Laso Bayas, L See, M Duerauer, D Dahlia, N Durando, ...
Global change biology 25 (1), 174-186, 2019
1412019
Influence of coastal vegetation on the 2004 tsunami wave impact in west Aceh
JC Laso Bayas, C Marohn, G Dercon, S Dewi, HP Piepho, L Joshi, ...
Proceedings of the National Academy of Sciences 108 (46), 18612-18617, 2011
1382011
Assessing VGI data quality
CC Fonte, V Antoniou, L Bastin, J Estima, JJ Arsanjani, JCL Bayas, L See, ...
Mapping and the citizen sensor, 137-163, 2017
1172017
Technologies to support community flood disaster risk reduction
I McCallum, W Liu, L See, R Mechler, A Keating, S Hochrainer-Stigler, ...
International Journal of Disaster Risk Science 7, 198-204, 2016
1152016
Crowdsourcing in-situ data on land cover and land use using gamification and mobile technology
JC Laso Bayas, L See, S Fritz, T Sturn, C Perger, M Dürauer, M Karner, ...
Remote Sensing 8 (11), 905, 2016
822016
Accounting for training data error in machine learning applied to earth observations
A Elmes, H Alemohammad, R Avery, K Caylor, JR Eastman, L Fishgold, ...
Remote Sensing 12 (6), 1034, 2020
722020
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
M Lesiv, L See, JC Laso Bayas, T Sturn, D Schepaschenko, M Karner, ...
Land 7 (4), 118, 2018
722018
A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform
JC Laso Bayas, M Lesiv, F Waldner, A Schucknecht, M Duerauer, L See, ...
Scientific data 4 (1), 1-10, 2017
632017
Recent advances in forest observation with visual interpretation of very high-resolution imagery
D Schepaschenko, L See, M Lesiv, JF Bastin, D Mollicone, ...
Surveys in Geophysics 40, 839-862, 2019
502019
Conflation of expert and crowd reference data to validate global binary thematic maps
F Waldner, A Schucknecht, M Lesiv, J Gallego, L See, A Pérez-Hoyos, ...
Remote sensing of environment 221, 235-246, 2019
352019
Estimating global economic well-being with unlit settlements
I McCallum, CCM Kyba, JCL Bayas, E Moltchanova, M Cooper, ...
Nature Communications 13 (1), 2459, 2022
292022
LACO-Wiki: A new online land cover validation tool demonstrated using GlobeLand30 for Kenya
L See, JC Laso Bayas, D Schepaschenko, C Perger, C Dresel, V Maus, ...
Remote Sensing 9 (7), 754, 2017
272017
Comment on “The extent of forest in dryland biomes”
D Schepaschenko, S Fritz, L See, JC Laso Bayas, M Lesiv, F Kraxner, ...
Science 358 (6362), eaao0166, 2017
262017
Crowdsourcing LUCAS: citizens generating reference land cover and land use data with a mobile app
JC Laso Bayas, L See, H Bartl, T Sturn, M Karner, D Fraisl, I Moorthy, ...
Land 9 (11), 446, 2020
25*2020
N2O emissions from a loamy soil cropped with winter wheat as affected by N-fertilizer amount and nitrification inhibitor
I Guzman-Bustamante, T Winkler, R Schulz, T Müller, T Mannheim, ...
Nutrient cycling in agroecosystems 114, 173-191, 2019
252019
What do we know about poverty in North Korea?
J Crespo Cuaresma, O Danylo, S Fritz, M Hofer, H Kharas, JC Laso Bayas
Palgrave Communications 6 (1), 1-8, 2020
232020
Drivers of tropical forest loss between 2008 and 2019
JC Laso Bayas, L See, I Georgieva, D Schepaschenko, O Danylo, ...
Scientific data 9 (1), 146, 2022
182022
A continental assessment of the drivers of tropical deforestation with a focus on protected areas
S Fritz, JC Laso Bayas, L See, D Schepaschenko, F Hofhansl, M Jung, ...
Frontiers in Conservation Science 3, 830248, 2022
152022
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