On estimating the gross primary productivity of Mediterranean grasslands under different fertilization regimes using vegetation indices and hyperspectral reflectance

Cerasoli, Sofia; Campagnolo, Manuel; Faria, Joana; Nogueira, Carla; Caldeira, Maria da Conceição

doi:https://doi.org/10.5194/bg-15-5455-2018

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.

https://doi.org/10.5194/bg-15-5455-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 17

Research article

|

14 Sep 2018

Research article |

| 14 Sep 2018

On estimating the gross primary productivity of Mediterranean grasslands under different fertilization regimes using vegetation indices and hyperspectral reflectance

Sofia Cerasoli, Manuel Campagnolo, Joana Faria, Carla Nogueira, and Maria da Conceição Caldeira

Data sets

Hyperspectral reflectance, gas exchange and meteorological conditions in grassland plots undergoing different fertilization regimes in Central Portugal from March to June 2016 S. Cerasoli, M. Campagnolo, J. Faria, C. Nogueira, and M. C. Caldeira https://doi.org/10.1594/PANGAEA.892837

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.