PeerJ
Ho Y, Grohmann CH, Lindsay J, Reuter HI, Parente L, Witjes M, Hengl T.
A pre-whitening with block-bootstrap cross-correlation procedure for temporal alignment of data sampled by eddy covariance systems
Environmental and Ecological Statistics· 2024DOI Vitale Domenico, Fratini Gerardo, Helfter Carol, Hortnagl Lukas, Kohonen Kukka-Maaria, Mammarella Ivan, Nemitz Eiko, Nicolini Giacomo, Rebmann Corinna, Sabbatini Simone & Papale Dario
Environmental Research Letters
Environmental Research Letters· 2024DOI Johannes Reiche Johannes Balling, Amy Hudson Pickens, Robert N Masolele, Anika Berger, Mikaela J Weisse, Daniel Mannarino, Yaqing Gou, Bart Slagter, Gennadii Donchyts
Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-series at 250 m spatial resolution
Hackländer, J., Parente, L., Ho, Y.-F., Hengl, T., Simoes, R., Consoli, D., Şahin, M., Tian, X., Herold, M., Jung, M., Duveiller, G., Weynants, M., Wheeler, I., (2023?) “Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-serie
Multi-decadal trend analysis and forest disturbance assessment of European tree species: concerning signs of a subtle shift
Forest Ecology and Management· 2024DOI Carmelo Bonannella, Leandro Parente, Sytze de Bruin, Martin Herold
OpenEOcubes; an open-source and lightweight R-based RESTful web service for analyzing earth observation data cubes
Earth Science Informatics· 2024DOI Brian Pondi, Marius Appel, Edzer Pebesma
"A widely-used eddy covariance gap-filling method creates systematic bias in carbon balance estimates"
Scientific Report· 2023DOI Henriikka Vekuri, Juha-Pekka Tuovinen, Liisa Kulmala, Dario Papale, Pasi Kolari, Mika Aurela, Tuomas Laurila, Jari Liski & Annalea Lohila
"Impact of land tenure on deforestation control and forest restoration in Brazilian Amazonia"
Environmental Research Letters· 2023DOI Gilberto Camara4, Rolf Simoes, Heloisa M Ruivo, Pedro R Andrade, Aline C Soterroni, Fernando M Ramos, Rafael G Ramos, Marluce Scarabello, Claudio Almeida, Ieda Sanches
A harmonized Landsat Sentinel-2 (HLS) dataset for benchmarking time series reconstruction methods of vegetation indices
WAGENINGEN UNIVERSITY AND RESEARCH· 2023DOI Consoli, D., Leal Parente, L., Witjes, M., & Hengl, T. (2023). A harmonized Landsat Sentinel-2 (HLS) dataset for benchmarking time series reconstruction methods of vegetation indices (Version 1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8119407
A Simply Updatable Cloud-based Ensemble Digital Terrain Model
GEOMORPHOMETRY IASI ROMANIA· 2023DOI Yu-Feng HO; Tomislav Hengl; Leandro Parente
AI technology: what it is and what it’s not, and how it can (potentially) help us solve the climate crisis
Hengl, T., Consoli, D., Bagić, M., Brocca, L., & Herold, M. (2023). “AI technology: what it is and what it’s not, and how it can (potentially) help us solve the climate crisis” (v0.1). OpenGeoHub foundation. Published in MLearning.ai;
AmeriFlux BASE data pipeline to support network growth and data sharing
Housen Chu, Danielle S. Christianson, You-Wei Cheah, Gilberto Pastorello, Fianna O’Brien, Joshua Geden, Sy-Toan Ngo, Rachel Hollowgrass, Karla Leibowitz, Norman F. Beekwilder, Megha Sandesh, Sigrid Dengel, Stephen W. Chan, André Santos, Kyle Delwiche, Koo
Annual time series of global VIIRS nighttime lights for 2000-2021 at 500-m spatial resolution extrapolated using logistic regression
Open-Earth-Monitor Cyberinfrastructure project· 2023DOI Tom Hengl
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, Sytze de Bruin
Building a community-based open harmonised reference data repository for global crop mapping
Hendrik Boogaard; Arun Kumar Pratihast; Juan Carlos Laso Bayas; Santosh Karanam; Steffen Fritz; Kristof Van Tricht; Jeroen Degerickx; Sven Gilliams
Comparing ground below-canopy and satellite spectral data for an improved and integrated forest phenology monitoring system
Ecological Indicators· 2023DOI Vaglio Laurin, G., Cotrina-Sanchez, A., Belelli-Marchesini, L., Tomelleri, E., Battipaglia, G., Cocozza, C., Niccoli, F., Kabala, J. P., Gianelle, D., Vescovo, L., Da Ros, L., & Valentini, R. (2024). Comparing ground below-canopy and satellite spectral da
Crop-Type Recognition in Street-level Images with Convolutional Neural Networks
Fernando Orduna-cabrera , Marcial Sandoval-Gastelum , Ian MCCALLUM , Linda SEE, Steffen Fritz , Santosh Karanam , Tobias Sturn , Valeria Javalera-Rincon , F. Fernando González-Navarro
Deep learning and automatic reference label harvesting for Sentinel-1 SAR-based rapid tropical dry forest disturbance mapping
Remote Sensing of Environment· 2023DOI Adugna Mullissa, Johannes Reiche, Martin Herold
EcoDataCube.eu: Analysis-ready open environmental data cube for Europe
Witjes, M., Parente, L. L., Krizan, J., Antonic, L., & Hengl, T. (2022). EcoDataCube. eu: Analysis-ready open environmental data cube for Europe. PeerJ, in review.
Forest restoration challenges in Brazilian Amazonia
Camara; Simoes; Ruivo; Andrade; Soterroni; Ramos; Ramos; Scarabello; Almeida; Sanches; Maurano; Coutinho; Esquerdo; Antunes; Venturieri; Adami
G-reqs, a New Model Proposal for Capturing and Managing In Situ Data Requirements: First Results in the Context of the Group on Earth Observations
Joan Maso, Alba Brobia, Marie-Francoise Voidrot, Alaitz Zabala and Ivette Serral
High-precision datasets from monitoring stations based on eddy covariance measurements: what six years of quality evaluation process of ICOS ecosystem stations have to tell
EGU General Assembly 2023, Vienna, Austria· 2023DOI Sabbatini, S., Nicolini, G., Gielen, B., Op de Beeck, M., Michilsens, F., Iserbyt, A., Loustau, D., Lafont, S., Loubet, B., Canfora, E., Polidori, D., Ribeca, A., and Papale, D.
How textural features can improve SAR-based tropical forest disturbance mapping
International Journal of Applied Earth Observation and Geoinformation· 2023DOI Balling, J., Herold, M., Reiche, J.
Integrated global assessment of the natural forest carbon potential
Lidong Mo, Constantin M Zohner, Peter B Reich, Jingjing Liang, Sergio De Miguel, Gert-Jan Nabuurs, Susanne S Renner, Johan van den Hoogen, Arnan Araza, Martin Herold, et al.
Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information
Fernando Orduna-cabrera , Marcial Sandoval-Gastelum , Ian MCCALLUM , Linda SEE, Steffen Fritz , Santosh Karanam , Tobias Sturn , Valeria Javalera-Rincon , F. Fernando González-Navarro
Monitoring direct drivers of small-scale tropical forest disturbance in near real-time with Sentinel-1 and -2 data
Remote Sensing of Environment· 2023DOI Bart Slagter, Johannes Reiche, Diego Marcos, Adugna Mullissa, Etse Lossou, Marielos Peña-Claros, Martin Herold
Open-Earth-Monitor: a cyberinfrastructure bringing together key open source developers in Europe
Open-Earth-Monitor· 2023DOI Hengl, Tomislav
Paddy rice methane emissions across Monsoon Asia
Remote Sensing of Environment· 2023DOI Zutao Ouyang, Robert B. Jackson, Gavin McNicol, Etienne Fluet-Chouinard, Benjamin R.K. Runkle, Dario Papale, Sara H. Knox, Sarah Cooley, Kyle B. Delwiche, Sarah Feron, Jeremy Andrew Irvin, Avni Malhotra, Muhammad Muddasir, Simone Sabbatini, Ma. Carmelita
Past decade above-ground biomass change comparisons from four multi-temporal global maps
Remote Sensing of Environment· 2023DOI Arnan Araza, Martin Herold, Sytze de Bruin, Philippe Ciais, David A. Gibbs, Nancy Harris, Maurizio Santoro, Jean-Pierre Wigneron, Hui Yang, Natalia Mála, Karimon Nesha, Pedro Rodriguez-Veiga, Olga Brovkina, Hugh C.A. Brow
SM2RAIN-Climate, a monthly global long-term rainfall dataset for climatological studies
Hamidreza Mosaffa, Paolo Filippucci, Christian Massari, Luca Ciabatta, Luca Brocca
Spatial predictions and uncertainties of forest carbon fluxes for carbon accounting
Scientific Reports· 2023DOI Arnan Araza, Sytze de Bruin, Lars Hein & Martin Herold
Storm Daniel revealed the fragility of the Mediterranean region
The Innovation Geoscience· 2023DOI Junliang Qiu, Wei Zhao, Luca Brocca, Paolo Tarolli
StrucNet: a global network for automated vegetation structure monitoring
Remote Sensing in Ecology and Conservation· 2023DOI Kim Calders, Benjamin Brede, Glenn Newnham, Darius Culvenor, John Armston, Harm Bartholomeus, Anne Griebel, Jodie Hayward, Samuli Junttila, Alvaro Lau, Shaun Levick, Rosalinda Morrone, Niall Origo, Marion Pfeifer, Jan Verbesselt, Martin Herold
The contributions of citizen science to the United Nations sustainable development goals and other international agreements and frameworks
Citizen Science: Theory and Practice· 2023DOI Fraisl, Dilek, See, Linda, Campbell, Jillian, Danielsen, Finn and Andrianandrasana, Herizo T.
A Downsampling Method Addressing the Modifiable Areal Unit Problem in Remote Sensing
Remote Sensing 14 (2022) 21· 2022DOI Andrei Mîrț; Johannes Reiche; Jan Verbesselt; Martin Herold
Challenges to Achieving the Commitments of Brazil’s NDC in the Amazon Biome
Câmara, G., Simões, R., M. Ruivo, H., R. Andrade, P., Scarabello, M. ., Costa, W. ., Ramos, R., Ramos, F., Almeida, . C., Sanches, I., Adami, M., Maurano, L., Soterroni, A., Coutinho, A., Esquerdo, J., Antunes, J., & Venturieri, A.
Earth Observation and Machine Learning as the key technologies to track implementation of the Green Deal: 10 main takeaways
OPEN EARTH MONITOR· 2022DOI Hengl, T.; Ross, C.; Delconte, V.
Exploring characteristics of national forest inventories for integration with global space-based forest biomass data
Science of the total Environment· 2022DOI Karimon Nesha; Martin Herold; Veronique De Sy; Sytze de Bruin; Arnan Araza; Natalia Málaga; Javier G.P. Gamarra; Kristell Hergoualc'h; Anssi Pekkarinen; Carla Ramirez; David Morales-Hidalgo; Rebecca Tavani
High frequency land cover classification method for supporting global monitoring
Dainius Masiliūnas, Diego Marcos, Nandin-Erdene Tsendbazar, Martin Herold, Jan Verbesselt
Innovative governance, environmental observations and digital solutions in support of the European Green Deal - Open-Earth-Monitor public workshop 2022
Innovative governance, environmental observations and digital solutions in support of the European Green Deal - Open-Earth-Monitor public workshop 2022· 2022DOI OpenGeoHub
Precision of subnational forest AGB estimates within the Peruvian Amazonia using a global biomass map
International Journal of Applied Earth Observation and Geoinformation 115 (2022)· 2022DOI Natalia Málaga; Sytze de Bruin; Ronald E. McRoberts; Alexs Arana Olivos; Ricardo de la Cruz Paiva; Patricia Durán Montesinos; Daniela Requena Suarez; Martin Herold
Toward a forest biomass reference measurement system for remote sensing applications
Global Change Biology· 2022DOI Nicolas Labrière, Stuart J. Davies, Mathias I. Disney, Laura I. Duncanson, Martin Herold, Simon L. Lewis, Oliver L. Phillips, Shaun Quegan, Sassan S. Saatchi, Dmitry G. Schepaschenko, Klaus Scipal, Plinio Sist, Jérôme Chave
Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia
GIScience & Remote Sensing· 2022DOI Robert N. Masolele; Veronique De Sy; Diego Marcos; Jan Verbesselt; Fabian Gieseke; Kalkidan Ayele Mulatu; Yitebitu Moges; Heiru Sebrala; Christopher Martius; Martin Herold
Ways forward for Machine Learning to make useful global environmental datasets from legacy observations and measurements
NATURE COMMUNICATIONS· 2022DOI Nature Communications