Articles | Volume 15, issue 17
https://doi.org/10.5194/bg-15-5455-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-5455-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Sep 2018
Research article |
| 14 Sep 2018
| 14 Sep 2018
On estimating the gross primary productivity of Mediterranean grasslands under different fertilization regimes using vegetation indices and hyperspectral reflectance
CEF, Centro de Estudos Florestais, Instituto Superior de Agronomia,
Universidade de Lisboa, PT, Lisbon, Portugal
Manuel Campagnolo
CEF, Centro de Estudos Florestais, Instituto Superior de Agronomia,
Universidade de Lisboa, PT, Lisbon, Portugal
Joana Faria
CEF, Centro de Estudos Florestais, Instituto Superior de Agronomia,
Universidade de Lisboa, PT, Lisbon, Portugal
Carla Nogueira
CEF, Centro de Estudos Florestais, Instituto Superior de Agronomia,
Universidade de Lisboa, PT, Lisbon, Portugal
Maria da Conceição Caldeira
CEF, Centro de Estudos Florestais, Instituto Superior de Agronomia,
Universidade de Lisboa, PT, Lisbon, Portugal
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Short summary
We compared the ability of in situ spectral and satellite sensors to estimate the productivity of Mediterranean grasslands undergoing different fertilization treatments. The objective of the study was to identify the best set of spectral predictors. In situ CO gas exchange and vegetation reflectance measurements were used for this purpose. Our results show the potential of Sentinel 2 and Landsat 8 satellites to monitor grasslands in support of a sustainable agriculture management.
We compared the ability of in situ spectral and satellite sensors to estimate the productivity...
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