Josip Križan

Environmental Science · Physical Sciences

12h-index762citations102works0.02yr avg
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Research Topics

Soil Geostatistics and Mapping(34), Remote Sensing in Agriculture(13), Geographic Information Systems Studies(12), Land Use and Ecosystem Services(8), Soil Moisture and Remote Sensing(8)

Publications102 total

Database of topsoil chemical and physical properties in Croatia
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Database of topsoil chemical and physical properties in Croatia
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
Ecodatacube.eu: analysis-ready open environmental data cube for Europe
PeerJ·2023· 21 citedOpen Access
Ecodatacube.eu: Analysis-ready open environmental data cube for Europe
2023Open Access
Reducing bat mortality at wind farms using site-specific mitigation measures: a case study in the Mediterranean region, Croatia
Mammalia·2023· 8 citedOpen Access
EcoDataCube.eu: Analysis-Ready Open Environmental Data Cube for Europe
2022Open Access
EcoDataCube.eu: Analysis-ready open environmental data cube for Europe
2022Open Access
Peer Review #2 of "A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat (v0.3)"
2022Open Access
A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat
PeerJ·2022· 44 citedOpen Access
A spatiotemporal ensemble machine learning framework for generating land use / land cover time-series maps for Europe (2000 – 2019) based on LUCAS, CORINE and GLAD Landsat
2022Open Access
A spatiotemporal ensemble machine learning framework for generating land use / land cover time-series maps for Europe (2000 – 2019) based on LUCAS, CORINE and GLAD Landsat
2022· 4 citedOpen Access
Replication Data for: African Soil Properties and Nutrients Mapped at 30--m Spatial Resolution using Two-scale Ensemble Machine Learning
Harvard Dataverse·2022Open Access
A spatiotemporal ensemble machine learning framework for generating land use / land cover time-series maps for Europe (2000 – 2019) based on LUCAS, CORINE and GLAD Landsat
2021· 10 citedOpen Access
Seamless 30 meter Sentinel-2 L2A Pan-European seasonal cloudless mosaics from winter 2018 to spring 2020
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Seamless 30 meter Sentinel-2 L2A Pan-European seasonal cloudless mosaics from winter 2018 to spring 2020
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Seamless 30 meter Sentinel-2 L2A Pan-European seasonal cloudless mosaics from winter 2018 to spring 2020
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
A spatiotemporal ensemble machine learning framework for generating land use / land cover time-series maps for Europe (2000 – 2019) based on LUCAS, CORINE and GLAD Landsat
2021· 3 citedOpen Access
African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning
Scientific Reports·2021· 258 citedOpen Access
Input dataset for gap filling and land-cover mapping using eumap Library - 2000 to 2020
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
Input dataset for gap filling and land-cover mapping using eumap Library - 2000 to 2020
Zenodo (CERN European Organization for Nuclear Research)·2020Open Access
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Frequent Co-authors

Tomislav Hengl(28), Milan Kilibarda(20), Oleg Antonić(19), Matt Miller(15), Andrew Sila(14), Gifty Acquah(14), Leandro Parente(14), Martin Landa(9), Lukáš Brodský(9), Dragan Bukovec(7), Martijn Witjes(7), Ognjen Antonijević(6), Luka Glušica(6), Codrina Ilie(5), Vasile Crǎciunescu(5), Vladimir Kušan(5), Dalibor Hatić(5), Antun Marki(4), Chris J. van Diemen(4), Sven D. Jelaska(4)