Livrables
A centralized massive harmonized and georeferenced dataset of vegetation structure and birds species changes and dynamic will be created and made available for the project activities
D2.2 Definition and specification of protocols for merging EO data and specification of ‘state vector’: time, space, wavelength requirements, ancillary data (elevation, land cover), projections, file formats (Technical requirements document)Definition and specification of protocols for merging EO data and specification of system ‘state vector’: time, space, wavelength requirements, ancillary data (elevation, land cover), projections, file formats. This will form the basis of a technical requirements specification for the production of the state vector.
D2.6 Summary of exploitation of EO merging system, refinements, recommendations (scientific report/submitted journal publicationSummary of exploitation of EO merging system, refinements, recommendations, based on implementation, testing and refinement at test sites. This will comprise a summary document providing the detailed implementation and testing results as well as draft scientific papers demonstrating the method and application.
D7.3 Report on detailed land use change at the national and regional level, including an assessment of economic, social, political and institutional drivers of changeReport on detailed land use change at the national and regional level, including an assessment of economic, social, political and institutional drivers of change. A biophysical analysis of land system change will be combined with an institutional analysis of political, economic and social drivers of change in the selected regions.
D3.3 Synthesis dataset of tree ring records, with uncertainty analysisA new integrated treering dataset will be created using different archives including oxygen isotopes measurements The data will include when available stand information and tree mortality All the data will be harmonized and uncertainty estimated
D5.2 Methods for Multivariate Novelty Detection for Synthetic Change IndexMethods for Multivariate Novelty Detection for Synthetic Change Index - algorithms for novelty detection with local multivariate autoregressive models - explicit kernel transforms for novelty detection
D8.5 EO-based maps of the vulnerability of biodiversity (integrating independently estimated biodiversity vulnerability with RS estimates of ecosystem change)One major application of the BACIndex will be to highlight regions where major ecosystem changes are occurring WP5 to provide an early warning system for potential biodiversity losses We will explore this possibility by combining the BACIndex estimates with maps of biodiversity vulnerability Maps of biological vulnerability will include hotspots of threatened and endangered species richness and endemism determined from global range maps such as the IUCN maps In addition we will consider threatened habitat types as defined by the EU Habitats Directive hereunder focusing on the utility of EO to monitor biodiversity trends and conservation status of Natura 2000 sites linking EO to ground survey data eg thousands of repeatedly surveyed vegetation plots in Danish Natura 2000 sites Rapid changes in these areas represent a particular threat to biodiversity These maps of biological vulnerability will also be directly useful to conservation and land management throughout Europe enabling improved conservation prioritization
Product comparison and validation reportReport that presents the results of the validation exercise for a series of regional cases.
D2.1 Summary of available archived optical (UCL) microwave (FSU) low-level and derived productsSummary of available archived optical (UCL) and microwave (FSU) low-level (ie remote sensing specific) and derived (higher level, biophysical parameters) products. These are to be identified in terms of their utility to generating information for the system state vector, availability and ease of use.
D7.2 Report on global demand and for land-based products, and inputs in the land system in decadal time series at the global levelReport on global demand and for landbased products and inputs in the land system in decadal time series at the global level It will use the analytical framework Human appropriation of Net Primary Production Haberl et al 2007 as basis and collate data on inputs of landbased production By means of decomposition analysis the role of different socioeconomic drivers for land system changes will be analysed
D5.3 Algorithms for Interactive User Feedback for Model Analysis and ImprovementAlgorithms for Interactive User Feedback for Model Analysis and Improvement software prototype that allows for interactive user feedback and incremental model update
D7.4 Report on the socio-economic drivers of change detected by EOs in relation to other driversReport on the socio-economic drivers of change detected by EOs in relation to other drivers. Consistent accounts of the changes in socioeconomic inputs to the land production system will be related to the observed changes at the system level in the selected regions. This will serve as plausibility check for the attribution scheme in WP5.
D5.1 First Methods for Novelty Detection for Synthetic Change IndexFirst Methods for Novelty Detection for Synthetic Change Index - first version of a novelty detection algorithm that runs on a smaller subset of predictor variables and is restricted to a validation region - evaluation report of null space methods and GP predictive variance - kernel functions for mixed continuous and discrete data
D8.2 A pan-European assessment of the conservation status of Natura 2000 protected areasWe will assess the status of European protected areas with respect to changing ecosystem properties as estimated from EO products On one hand we expect protected areas to change relatively little compared to surrounding areas On the other rapid change in these areas raises a red flag for conservation concerns Results will be disseminated through the BACI newsletter and a peerreviewed manuscript
D3.2 Synthesis data product of ecosystem parameters derived at Fluxnet sites, characterized by uncertainty estimationA dataset of ecological propertiesfunctions and responses to external drivers will be calculated using eddy covariance measurements collected in sites in Europe and Africa The data will be harmonized and uncertainty estimated
D4.1 Scientific Report of newly developed machine learning techniques for upscaling EEVs and EFPsA technical report will sumarize the proscons of different machine learning methods for generating downstream products based on EOs and site level data
D5.4 Methods for Attribution Scheme and Near Real-Time BACI"Methods for Attribution Scheme and Near Real-Time BACI - analysis of feature relevance for novelty detection - software for near real-time change detection and novelty score It is important to note that the attribute ""near real-time"" for the change detection refers to the prediction speed of the algorithm. The availability of EO data for very recent timestamps will determine the real-time capability of the whole process."
D6.3 Synthesis paper on suitability and limitation of BACI for monitoring ecosystem changesVersion of a synthesis paper that describes the usefulness of BACI to track different key ecosystem changes. The synthesis will involve many of the project partners and results from WP 6 and 7 in particular.
Identification of promising applications for EO for land system science and sustainability science based on a user consultation workshop. Requirements for EO data products will be identified, and the potential of existing, and in particular novel BACI data products will be discussed.
D8.3 Validation of European space data layers for biodiversity monitoringWe will ground-truth BACI products, including the BACIndex, for general use in biodiversity monitoring using large databases of plant and bird population sizes and diversity through time. Rapid changes in diversity, or changes in species composition, of on-the-ground samples should be associated with ecosystem change estimates based on EOs. Assuming that a link is possible, this will pave the way for predictive biodiversity monitoring. Results will be disseminated through the BACI newsletter and peer-reviewed publications.
D4.5 Global products of plant trait phenologiesA data set incuding (time-dynamic) plant-trait phenologies will be made avaibale.
D2.5 Delivery of system state vector data including end-to-end testing results at identified sites, regionsDelivery of algorithm for generating system state vector and identified sites and regions, including end-to-end testing results and summary report.
D4.3 Spatialized and yearly resolved tree ring widths for EuropeThe results of Task 4.3 will be reported. A report will be submitted on the possibilities and results of upscaling tree ring width data spatially over Europe.
D3.1 Synthesis dataset of plant traits and phenology characterized by uncertainty estimationThe plant trait database TRY will be completed with species from Africa and with information about phonological information collected in other initiatives The data will be standardize georeferenced and associated with uncertainty estimations
D8.4 Species distribution models calibrated for a large number of European birds and plants, built on high-resolution remote sensing layers and continually updated as new data becomes available.We will assess the utility of high-resolution description ofecosystem properties for enhancing fine-scale habitat selection models for a wide range of bird and plant species. Accurate descriptions of fine-scale habitat characteristics is likely to lead to substantial improvements in model predictions. To the extent that species fine-scale distributions are related to EO-derived estimates of ecosystem properties, yearly updates of these properties will allow yearly updates to habitat selection models. This will enable improved monitoring – for example it will be useful to guide observers towards locations most likely to harbour a species of interest, and will serve as an early warning system for endangered species if the fine-scale habitat conditions for the species suddenly become unsuitable for the species. Results will be disseminated through the BACI newsletter and peer-reviewed publications.
D3.5 Collection of LiDAR derived vegetation structure and biomass data, including inventory informationA first collection of LIDAR data or derived products, complemented by inventory data in crucial regions where LIDAR measurements are not available and hyperspectral data when collected together with the LIDAR, will be created and harmonized.
D4.4 Global products of carbon and energy fluxes derived from upscaling FLUXNET observations that resolve the diurnal cycleA data set on CO2 and H2O landatmosphere fluxes resolving the diurnal cycle will be published
D6.1 Validation framework and description of regional validation sitesDescribes the consolidated validation framework and a description and data availability (including those of WP3) that will be used for the validation exercise.
D4.2 Global products of FLUXNET derived ecosystem functional properties at annual time scale with quantified uncertaintiesAnnual maps of ecosystem functional properties will be provided to the public Uncertainties will be explicitly quantified
A hard-cover brochure (also made avaibale online) will summarize the major findings in BACI. All WP leaders and partners will be invited to explain their innovations to a broader public. The preparation of the brochure will also be discussed with the scientific advisory board.
Press release 4Press release summarizing the majr progress made in BACI informing the public about the implications for stakeholders and mechanisms implemented.
Press release 3Press release informing the public about the progress in the BACI consortium
Press release 1Press release informaing about the objectives of BACI and potential implications for the public
WebsiteThe public webpage will be setup at the beginning of the project and contain all information relevant to the public eg structure of the project objectives organization services job opportunities publications and scientific highlights
Press release 2Press release on the prototype results of BACI
A Data Management Plan in compliance with the guidelines on Data Management in Horizon 2020 will be organized by WP1 within the first six months of the project and continuously updated with WP3 researchers being key contributors to the data management plan
Publications
Auteurs:
Sebastian Sippel, Jakob Zscheischler, Miguel D. Mahecha, Rene Orth, Markus Reichstein, Martha Vogel, Sonia I. Seneviratne
Publié dans:
Earth System Dynamics, Numéro 8/2, 2017, Page(s) 387-403, ISSN 2190-4987
Éditeur:
Copernicus publ
DOI:
10.5194/esd-8-387-2017
Auteurs:
Sujan Koirala, Martin Jung, Markus Reichstein, Inge E. M. de Graaf, Gustau Camps-Valls, Kazuhito Ichii, Dario Papale, Botond Ráduly, Christopher R. Schwalm, Gianluca Tramontana, Nuno Carvalhais
Publié dans:
Geophysical Research Letters, Numéro 44/9, 2017, Page(s) 4134-4142, ISSN 0094-8276
Éditeur:
American Geophysical Union
DOI:
10.1002/2017GL072885
Auteurs:
Karl-Heinz Erb, Sebastiaan Luyssaert, Patrick Meyfroidt, Julia Pongratz, Axel Don, Silvia Kloster, Tobias Kuemmerle, Tamara Fetzel, Richard Fuchs, Martin Herold, Helmut Haberl, Chris D. Jones, Erika Marín-Spiotta, Ian McCallum, Eddy Robertson, Verena Seufert, Steffen Fritz, Aude Valade, Andrew Wiltshire, Albertus J. Dolman
Publié dans:
Global Change Biology, Numéro 23/2, 2017, Page(s) 512-533, ISSN 1354-1013
Éditeur:
Blackwell Publishing Inc.
DOI:
10.1111/gcb.13443
Auteurs:
Jakob Zscheischler, Miguel D. Mahecha, Valerio Avitabile, Leonardo Calle, Nuno Carvalhais, Philippe Ciais, Fabian Gans, Nicolas Gruber, Jens Hartmann, Martin Herold, Kazuhito Ichii, Martin Jung, Peter Landschützer, Goulven G. Laruelle, Ronny Lauerwald, Dario Papale, Philippe Peylin, Benjamin Poulter, Deepak Ray, Pierre Regnier, Christian Rödenbeck, Rosa M. Roman-Cuesta, Christopher Schwalm, Gian
Publié dans:
Biogeosciences, Numéro 14/15, 2017, Page(s) 3685-3703, ISSN 1726-4189
Éditeur:
Copernicus Publ
DOI:
10.5194/bg-14-3685-2017
Auteurs:
Flurin Babst, Benjamin Poulter, Paul Bodesheim, Miguel D. Mahecha, David C. Frank
Publié dans:
Nature Ecology & Evolution, Numéro 1/2, 2017, Page(s) 0008, ISSN 2397-334X
Éditeur:
Nature Publising Group
DOI:
10.1038/s41559-016-0008
Auteurs:
Martin Jung, Markus Reichstein, Christopher R. Schwalm, Chris Huntingford, Stephen Sitch, Anders Ahlström, Almut Arneth, Gustau Camps-Valls, Philippe Ciais, Pierre Friedlingstein, Fabian Gans, Kazuhito Ichii, Atul K. Jain, Etsushi Kato, Dario Papale, Ben Poulter, Botond Raduly, Christian Rödenbeck, Gianluca Tramontana, Nicolas Viovy, Ying-Ping Wang, Ulrich Weber, Sönke Zaehle, Ning Zeng
Publié dans:
Nature, Numéro 541/7638, 2017, Page(s) 516-520, ISSN 0028-0836
Éditeur:
Nature Publishing Group
DOI:
10.1038/nature20780
Auteurs:
Gaia Vaglio Laurin, Francesco Pirotti, Mattia Callegari, Qi Chen, Giovanni Cuozzo, Emanuele Lingua, Claudia Notarnicola, Dario Papale
Publié dans:
Remote Sensing, Numéro 9/1, 2017, Page(s) 18, ISSN 2072-4292
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/rs9010018
Auteurs:
Milan Flach, Fabian Gans, Alexander Brenning, Joachim Denzler, Markus Reichstein, Erik Rodner, Sebastian Bathiany, Paul Bodesheim, Yanira Guanche, Sebastian Sippel, Miguel D. Mahecha
Publié dans:
Earth System Dynamics, Numéro 8/3, 2017, Page(s) 677-696, ISSN 2190-4987
Éditeur:
Copernicus Publ
DOI:
10.5194/esd-8-677-2017
Auteurs:
Hamunyela, E., Reiche, J., Verbesselt, J., Herold, M
Publié dans:
Remote Sensing, Numéro 9/6, 2017, Page(s) 515, ISSN 2072-4292
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/rs9060515
Auteurs:
Talie Musavi, Mirco Migliavacca, Markus Reichstein, Jens Kattge, Christian Wirth, T. Andrew Black, Ivan Janssens, Alexander Knohl, Denis Loustau, Olivier Roupsard, Andrej Varlagin, Serge Rambal, Alessandro Cescatti, Damiano Gianelle, Hiroaki Kondo, Rijan Tamrakar, Miguel D. Mahecha
Publié dans:
Nature Ecology & Evolution, Numéro 1/2, 2017, Page(s) 0048, ISSN 2397-334X
Éditeur:
Nature Publishing Goup
DOI:
10.1038/s41559-016-0048
Auteurs:
Miguel D. Mahecha, Fabian Gans, Sebastian Sippel, Jonathan F. Donges, Thomas Kaminski, Stefan Metzger, Mirco Migliavacca, Dario Papale, Anja Rammig, Jakob Zscheischler
Publié dans:
Biogeosciences, Numéro 14/18, 2017, Page(s) 4255-4277, ISSN 1726-4189
Éditeur:
Copernicus Publ
DOI:
10.5194/bg-14-4255-2017
Auteurs:
Iulia Ilie, Peter Dittrich, Nuno Carvalhais, Martin Jung, Andreas Heinemeyer, Mirco Migliavacca, James I. L. Morison, Sebastian Sippel, Jens-Arne Subke, Matthew Wilkinson, Miguel D. Mahecha
Publié dans:
Geoscientific Model Development, Numéro 10/9, 2017, Page(s) 3519-3545, ISSN 1991-9603
Éditeur:
Copernicus Publ
DOI:
10.5194/gmd-10-3519-2017
Auteurs:
Sebastian Sippel, Friederike E. L. Otto, Milan Flach, Geert Jan van Oldenborgh
Publié dans:
Bulletin of the American Meteorological Society, Numéro 97/12, 2016, Page(s) S51-S56, ISSN 0003-0007
Éditeur:
American Meteorological Society
DOI:
10.1175/BAMS-D-16-0150.1
Auteurs:
Sebastian Sippel, Holger Lange, Miguel D. Mahecha, Michael Hauhs, Paul Bodesheim, Thomas Kaminski, Fabian Gans, Osvaldo A. Rosso
Publié dans:
PLOS ONE, Numéro 11/10, 2016, Page(s) e0164960, ISSN 1932-6203
Éditeur:
Public Library of Science
DOI:
10.1371/journal.pone.0164960
Auteurs:
Sebastian Sippel, Jakob Zscheischler, Martin Heimann, Holger Lange, Miguel D. Mahecha, Geert Jan van Oldenborgh, Friederike E. L. Otto, Markus Reichstein
Publié dans:
Hydrology and Earth System Sciences, Numéro 21/1, 2017, Page(s) 441-458, ISSN 1607-7938
Éditeur:
Copernicus Publ
DOI:
10.5194/hess-21-441-2017
Auteurs:
Karl-Heinz Erb, Tamara Fetzel, Christoph Plutzar, Thomas Kastner, Christian Lauk, Andreas Mayer, Maria Niedertscheider, Christian Körner, Helmut Haberl
Publié dans:
Nature Geoscience, Numéro 9/9, 2016, Page(s) 674-678, ISSN 1752-0894
Éditeur:
Nature Publishing Group
DOI:
10.1038/ngeo2782
Auteurs:
Talie Musavi, Mirco Migliavacca, Martine Janet van de Weg, Jens Kattge, Georg Wohlfahrt, Peter M. van Bodegom, Markus Reichstein, Michael Bahn, Arnaud Carrara, Tomas F. Domingues, Michael Gavazzi, Damiano Gianelle, Cristina Gimeno, André Granier, Carsten Gruening, Kateřina Havránková, Mathias Herbst, Charmaine Hrynkiw, Aram Kalhori, Thomas Kaminski, Katja Klumpp, Pasi Kolari, Bernard Longdoz,
Publié dans:
Ecology and Evolution, Numéro 6/20, 2016, Page(s) 7352-7366, ISSN 2045-7758
Éditeur:
John Wiley and Sons Ltd
DOI:
10.1002/ece3.2479
Auteurs:
Gaia Vaglio Laurin, Nicola Puletti, Qi Chen, Piermaria Corona, Dario Papale, Riccardo Valentini
Publié dans:
International Journal of Applied Earth Observation and Geoinformation, Numéro 52, 2016, Page(s) 371-379, ISSN 0303-2434
Éditeur:
International Institute for Aerial Survey and Earth Sciences
DOI:
10.1016/j.jag.2016.07.008
Auteurs:
Gianluca Tramontana, Martin Jung, Christopher R. Schwalm, Kazuhito Ichii, Gustau Camps-Valls, Botond Ráduly, Markus Reichstein, M. Altaf Arain, Alessandro Cescatti, Gerard Kiely, Lutz Merbold, Penelope Serrano-Ortiz, Sven Sickert, Sebastian Wolf, Dario Papale
Publié dans:
Biogeosciences, Numéro 13/14, 2016, Page(s) 4291-4313, ISSN 1726-4189
Éditeur:
Copernicus Publ
DOI:
10.5194/bg-13-4291-2016
Auteurs:
M. Campioli, Y. Malhi, S. Vicca, S. Luyssaert, D. Papale, J. Peñuelas, M. Reichstein, M. Migliavacca, M. A. Arain, I. A. Janssens
Publié dans:
Nature Communications, Numéro 7, 2016, Page(s) 13717, ISSN 2041-1723
Éditeur:
Nature Publishing Group
DOI:
10.1038/NCOMMS13717
Auteurs:
Zhen Zhang, Flurin Babst, Valentin Bellassen, David Frank, Thomas Launois, Kun Tan, Philippe Ciais, Benjamin Poulter
Publié dans:
Ecosystems, 2017, ISSN 1432-9840
Éditeur:
Springer Verlag
DOI:
10.1007/s10021-017-0157-5
Auteurs:
Sebastian Sippel, Matthias Forkel, Anja Rammig, Kirsten Thonicke, Milan Flach, Martin Heimann, Friederike E L Otto, Markus Reichstein, Miguel D Mahecha
Publié dans:
Environmental Research Letters, Numéro 12/7, 2017, Page(s) 075006, ISSN 1748-9326
Éditeur:
Institute of Physics Publishing
DOI:
10.1088/1748-9326/aa7398
Auteurs:
Y. Sun, C. Frankenberg, J. D. Wood, D. S. Schimel, M. Jung, L. Guanter, D. T. Drewry, M. Verma, A. Porcar-Castell, T. J. Griffis, L. Gu, T. S. Magney, P. Köhler, B. Evans, K. Yuen
Publié dans:
Science, Numéro 358/6360, 2017, Page(s) eaam5747, ISSN 0036-8075
Éditeur:
American Association for the Advancement of Science
DOI:
10.1126/science.aam5747
Auteurs:
Neha Joshi, Matthias Baumann, Andrea Ehammer, Rasmus Fensholt, Kenneth Grogan, Patrick Hostert, Martin Jepsen, Tobias Kuemmerle, Patrick Meyfroidt, Edward Mitchard, Johannes Reiche, Casey Ryan, Björn Waske
Publié dans:
Remote Sensing, Numéro 8/1, 2016, Page(s) 70, ISSN 2072-4292
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/rs8010070
Auteurs:
Mathias Disney, Jan-Peter Muller, Said Kharbouche, Thomas Kaminski, Michael Voßbeck, Philip Lewis, Bernard Pinty
Publié dans:
Remote Sensing, Numéro 8/4, 2016, Page(s) 275, ISSN 2072-4292
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/rs8040275
Auteurs:
Johannes Reiche, Richard Lucas, Anthea L. Mitchell, Jan Verbesselt, Dirk H. Hoekman, Jörg Haarpaintner, Josef M. Kellndorfer, Ake Rosenqvist, Eric A. Lehmann, Curtis E. Woodcock, Frank Martin Seifert, Martin Herold
Publié dans:
Nature Climate Change, Numéro 6/2, 2016, Page(s) 120-122, ISSN 1758-678X
Éditeur:
Nature Publishing Group
DOI:
10.1038/nclimate2919
Auteurs:
Sandra Díaz, Jens Kattge, Johannes H. C. Cornelissen, Ian J. Wright, Sandra Lavorel, Stéphane Dray, Björn Reu, Michael Kleyer, Christian Wirth, I. Colin Prentice, Eric Garnier, Gerhard Bönisch, Mark Westoby, Hendrik Poorter, Peter B. Reich, Angela T. Moles, John Dickie, Andrew N. Gillison, Amy E. Zanne, Jérôme Chave, S. Joseph Wright, Serge N. Sheremet’ev, Hervé Jactel, Christopher Baralo
Publié dans:
Nature, Numéro 529/7585, 2015, Page(s) 167-171, ISSN 0028-0836
Éditeur:
Nature Publishing Group
DOI:
10.1038/nature16489
Auteurs:
C. Vittucci, P. Ferrazzoli, Y. Kerr, P. Richaume, L. Guerriero, R. Rahmoune, G. Vaglio Laurin
Publié dans:
Remote Sensing of Environment, Numéro 180, 2016, Page(s) 115-127, ISSN 0034-4257
Éditeur:
Elsevier BV
DOI:
10.1016/j.rse.2016.03.004
Auteurs:
Gaia Vaglio Laurin, Nicola Puletti, William Hawthorne, Veraldo Liesenberg, Piermaria Corona, Dario Papale, Qi Chen, Riccardo Valentini
Publié dans:
Remote Sensing of Environment, Numéro 176, 2016, Page(s) 163-176, ISSN 0034-4257
Éditeur:
Elsevier BV
DOI:
10.1016/j.rse.2016.01.017
Auteurs:
G Vaglio Laurin, WD Hawthorne, T Chiti, A Di Paola, R Cazzolla Gatti, S Marconi, S Noce, E Grieco, F Pirotti, R Valentini
Publié dans:
iForest - Biogeosciences and Forestry, 2016, Page(s) e1-e9, ISSN 1971-7458
Éditeur:
The Italian Society of Silviculture and Forest Ecology (SISEF)
DOI:
10.3832/ifor1779-008
Auteurs:
Maria Santos, Mathias Disney, Jérôme Chave
Publié dans:
Remote Sensing, Numéro 10/10, 2018, Page(s) 1593, ISSN 2072-4292
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/rs10101593
Auteurs:
Gaia Vaglio Laurin, Johannes Balling, Piermaria Corona, Walter Mattioli, Dario Papale, Nicola Puletti, Maria Rizzo, John Truckenbrodt, Marcel Urban
Publié dans:
Journal of Applied Remote Sensing, Numéro 12/01, 2018, Page(s) 1, ISSN 1931-3195
Éditeur:
Society of Photo-Optical Instrumentation Engineers
DOI:
10.1117/1.JRS.12.016008
Auteurs:
G Vaglio Laurin, R Avezzano, V Bacciu, FD Frate, D Papale, M Virelli
Publié dans:
iForest - Biogeosciences and Forestry, Numéro 11/3, 2018, Page(s) 389-395, ISSN 1971-7458
Éditeur:
The Italian Society of Silviculture and Forest Ecology (SISEF)
DOI:
10.3832/ifor2623-011
Auteurs:
Felix Cremer, Mikhail Urbazaev, Christian Berger, Miguel D. Mahecha, Christiane Schmullius, Christian Thiel
Publié dans:
IEEE Geoscience and Remote Sensing Letters, Numéro 15/4, 2018, Page(s) 537-541, ISSN 1545-598X
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/LGRS.2018.2791658
Auteurs:
Jennifer Adams, Philip Lewis, Mathias Disney
Publié dans:
Remote Sensing, Numéro 10/12, 2018, Page(s) 1911, ISSN 2072-4292
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/rs10121911
Auteurs:
Milan Flach, Sebastian Sippel, Fabian Gans, Ana Bastos, Alexander Brenning, Markus Reichstein, Miguel D. Mahecha
Publié dans:
Biogeosciences, Numéro 15/20, 2018, Page(s) 6067-6085, ISSN 1726-4170
Éditeur:
European Geosciences Union (EGU).
DOI:
10.5194/bg-15-6067-2018
Auteurs:
Johannes Reiche, Rob Verhoeven, Jan Verbesselt, Eliakim Hamunyela, Niels Wielaard, Martin Herold
Publié dans:
Remote Sensing, Numéro 10/5, 2018, Page(s) 777, ISSN 2072-4292
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/rs10050777
Auteurs:
Bjorn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler
Publié dans:
IEEE Transactions on Pattern Analysis and Machine Intelligence, Numéro 41/5, 2019, Page(s) 1088-1101, ISSN 0162-8828
Éditeur:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/TPAMI.2018.2823766
Auteurs:
Christoforos Pappas, Miguel D. Mahecha, David C. Frank, Flurin Babst, Demetris Koutsoyiannis
Publié dans:
Nature Ecology & Evolution, Numéro 1/9, 2017, Page(s) 1263-1270, ISSN 2397-334X
Éditeur:
Springer Nature
DOI:
10.1038/s41559-017-0277-5
Auteurs:
Gaia Vaglio Laurin, Claudio Belli, Roberto Bianconi, Pietro Laranci, Dario Papale
Publié dans:
The Journal of Agricultural Science, Numéro 156/3, 2018, Page(s) 396-407, ISSN 0021-8596
Éditeur:
Cambridge University Press
DOI:
10.1017/S0021859618000400
Auteurs:
Maxim Chernetskiy, Jose Gómez-Dans, Nadine Gobron, Olivier Morgan, Philip Lewis, Sina Truckenbrodt, Christiane Schmullius
Publié dans:
Remote Sensing, Numéro 9/7, 2017, Page(s) 656, ISSN 2072-4292
Éditeur:
Multidisciplinary Digital Publishing Institute (MDPI)
DOI:
10.3390/rs9070656
Auteurs:
Phil Wilkes, Mathias Disney, Matheus Boni Vicari, Kim Calders, Andrew Burt
Publié dans:
Carbon Balance and Management, Numéro 13/1, 2018, Page(s) 10, ISSN 1750-0680
Éditeur:
BioMed Central
DOI:
10.1186/s13021-018-0098-0
Auteurs:
Andrew Burt, Mathias Disney, Kim Calders
Publié dans:
Methods in Ecology and Evolution, Numéro 10(3), 2018, Page(s) 438445, ISSN 2041-210X
Éditeur:
John Wiley and Sons Inc.
DOI:
10.1111/2041-210x.13121
Auteurs:
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Proceedings of the National Academy of Sciences, Numéro 114/51, 2017, Page(s) E10937-E10946, ISSN 0027-8424
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Earth Interactions, Numéro 21/8, 2017, Page(s) 1-23, ISSN 1087-3562
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