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Proceedings of the National Academy of Sciences of the United States of America
|
August 23, 2017
Soil carbon debt of 12,000 years of human land use
Jonathan Sanderman, Tomislav Hengl, Gregory J Fiske
Journal of the American Mosquito Control Association
|
September 13, 2007
Spatiotemporal monitoring of floodwater mosquito dispersal in Osijek, Croatia
Mirta Sudarić Bogojević, Tomislav Hengl, Enrih Merdić
Peerj
|
June 28, 2023
Biomes of the world under climate change scenarios: increasing aridity and higher temperatures lead to significant shifts in natural vegetation
Carmelo Bonannella, Tomislav Hengl, Leandro Parente, et al.
Peerj
|
June 12, 2023
Ecodatacube.eu: analysis-ready open environmental data cube for Europe
Martijn Witjes, Leandro Parente, Josip Križan, et al.
Scientific Data
|
July 25, 2022
Global Soil Hydraulic Properties dataset based on legacy site observations and robust parameterization
Surya Gupta, Andreas Papritz, Peter Lehmann, et al.
Peerj
|
September 7, 2018
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
Tomislav Hengl, Madlene Nussbaum, Marvin N Wright, et al.
Peerj
|
August 30, 2018
Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential
Tomislav Hengl, Markus G Walsh, Jonathan Sanderman, et al.
Parasites & Vectors
|
January 24, 2025
Assessing tick attachments to humans with citizen science data: spatio-temporal mapping in Switzerland from 2015 to 2021 using spatialMaxent
Lisa Bald, Nils Ratnaweera, Tomislav Hengl, et al.
Peerj
|
August 1, 2022
Forest tree species distribution for Europe 2000-2020: mapping potential and realized distributions using spatiotemporal machine learning
Carmelo Bonannella, Tomislav Hengl, Johannes Heisig, et al.
Peerj
|
December 9, 2024
A computational framework for processing time-series of earth observation data based on discrete convolution: global-scale historical Landsat cloud-free aggregates at 30 m spatial resolution
Davide Consoli, Leandro Parente, Rolf Simoes, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 29) with videos related to
Sort By:
Page
of 3
Proceedings of the National Academy of Sciences of the United States of America
|
August 23, 2017
Soil carbon debt of 12,000 years of human land use
Jonathan Sanderman, Tomislav Hengl, Gregory J Fiske
Journal of the American Mosquito Control Association
|
September 13, 2007
Spatiotemporal monitoring of floodwater mosquito dispersal in Osijek, Croatia
Mirta Sudarić Bogojević, Tomislav Hengl, Enrih Merdić
Peerj
|
June 28, 2023
Biomes of the world under climate change scenarios: increasing aridity and higher temperatures lead to significant shifts in natural vegetation
Carmelo Bonannella, Tomislav Hengl, Leandro Parente, et al.
Peerj
|
June 12, 2023
Ecodatacube.eu: analysis-ready open environmental data cube for Europe
Martijn Witjes, Leandro Parente, Josip Križan, et al.
Scientific Data
|
July 25, 2022
Global Soil Hydraulic Properties dataset based on legacy site observations and robust parameterization
Surya Gupta, Andreas Papritz, Peter Lehmann, et al.
Peerj
|
September 7, 2018
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
Tomislav Hengl, Madlene Nussbaum, Marvin N Wright, et al.
Peerj
|
August 30, 2018
Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential
Tomislav Hengl, Markus G Walsh, Jonathan Sanderman, et al.
Parasites & Vectors
|
January 24, 2025
Assessing tick attachments to humans with citizen science data: spatio-temporal mapping in Switzerland from 2015 to 2021 using spatialMaxent
Lisa Bald, Nils Ratnaweera, Tomislav Hengl, et al.
Peerj
|
August 1, 2022
Forest tree species distribution for Europe 2000-2020: mapping potential and realized distributions using spatiotemporal machine learning
Carmelo Bonannella, Tomislav Hengl, Johannes Heisig, et al.
Peerj
|
December 9, 2024
A computational framework for processing time-series of earth observation data based on discrete convolution: global-scale historical Landsat cloud-free aggregates at 30 m spatial resolution
Davide Consoli, Leandro Parente, Rolf Simoes, et al.
Page
of 3