Articles | Volume 12, issue 18
https://doi.org/10.5194/bg-12-5523-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-5523-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Seasonal variation in grass water content estimated from proximal sensing and MODIS time series in a Mediterranean Fluxnet site
Geological Survey of Denmark and Greenland (GEUS), Øster Voldgade 10, 1350 Copenhagen K, Denmark
Instituto de Economía, Geografía y Demografía, Centro de Ciencias Humanas y Sociales, Consejo Superior de Investigaciones Científicas (CSIC), Albasanz 26–28, 28037, Madrid, Spain
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350, Copenhagen K, Denmark
Associated Research Unit GEOLAB2 & 6
M. Pilar Martín
Instituto de Economía, Geografía y Demografía, Centro de Ciencias Humanas y Sociales, Consejo Superior de Investigaciones Científicas (CSIC), Albasanz 26–28, 28037, Madrid, Spain
Associated Research Unit GEOLAB2 & 6
Instituto de Agricultura Sostenible, Consejo Superior de Investigaciones Científicas (CSIC), 14080 Córdoba, Spain
J. Pacheco-Labrador
Instituto de Economía, Geografía y Demografía, Centro de Ciencias Humanas y Sociales, Consejo Superior de Investigaciones Científicas (CSIC), Albasanz 26–28, 28037, Madrid, Spain
Associated Research Unit GEOLAB2 & 6
S. Jurdao
Associated Research Unit GEOLAB2 & 6
Department of Geography and Geology, University of Alcalá, Calle Colegios 2, 28801, Alcalá de Henares, Spain
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Understanding tropical forest abiotic response to hurricanes using experimental manipulations, field observations, and satellite data
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Douglas I. Kelley, Chantelle Burton, Chris Huntingford, Megan A. J. Brown, Rhys Whitley, and Ning Dong
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M. Marshall, E. Okuto, Y. Kang, E. Opiyo, and M. Ahmed
Biogeosciences, 13, 625–639, https://doi.org/10.5194/bg-13-625-2016, https://doi.org/10.5194/bg-13-625-2016, 2016
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We compared two new Earth observation based long-term global vegetation index products used in global change research (Global Inventory Modeling and Mapping Studies and Vegetation Index and Phenology Lab- VIP version 3). The two products showed a high level of consistency throughout the primary growing season and were less consistent during green-up and brown-down that impacted trends in phenology. VIP was generally higher and more variable leading to poorer correlations with in situ data
S. Chen, J. Beardall, and K. Gao
Biogeosciences, 11, 4829–4837, https://doi.org/10.5194/bg-11-4829-2014, https://doi.org/10.5194/bg-11-4829-2014, 2014
F. Günther, P. P. Overduin, A. V. Sandakov, G. Grosse, and M. N. Grigoriev
Biogeosciences, 10, 4297–4318, https://doi.org/10.5194/bg-10-4297-2013, https://doi.org/10.5194/bg-10-4297-2013, 2013
B. M. Rogers, J. T. Randerson, and G. B. Bonan
Biogeosciences, 10, 699–718, https://doi.org/10.5194/bg-10-699-2013, https://doi.org/10.5194/bg-10-699-2013, 2013
Y. Xia and X. Yan
Biogeosciences, 8, 3159–3168, https://doi.org/10.5194/bg-8-3159-2011, https://doi.org/10.5194/bg-8-3159-2011, 2011
R. Sulpizio, G. Zanchetta, M. D'Orazio, H. Vogel, and B. Wagner
Biogeosciences, 7, 3273–3288, https://doi.org/10.5194/bg-7-3273-2010, https://doi.org/10.5194/bg-7-3273-2010, 2010
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