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Journal of Sensors
Volume 2016, Article ID 4612809, 16 pages
http://dx.doi.org/10.1155/2016/4612809
Research Article

Remote Sensing of Grassland Biophysical Parameters in the Context of the Sentinel-2 Satellite Mission

1Sustainable Agro-Ecosystems and Bioresources Department, Research and Innovation Centre, Edmund Mach Foundation, Via E. Mach 1, 38010 San Michele all’Adige, Italy
2Meteorology Department, Poznan University of Life Sciences, Piatkowska Street 94, 60-649 Poznań, Poland
3Foxlab Joint CNR-FEM Initiative, Via E. Mach 1, 38010 San Michele all’Adige, Italy

Received 27 November 2015; Accepted 22 March 2016

Academic Editor: Hairong Qi

Copyright © 2016 Karolina Sakowska et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Jiahui Han, Chuanwen Wei, Yaoliang Chen, Weiwei Liu, Peilin Song, Dongdong Zhang, Anqi Wang, Xiaodong Song, Xiuzhen Wang, and Jingfeng Huang, “Mapping Above-Ground Biomass of Winter Oilseed Rape Using High Spatial Resolution Satellite Data at Parcel Scale under Waterlogging Conditions,” Remote Sensing, vol. 9, no. 3, pp. 238, 2017. View at Publisher · View at Google Scholar
  • Edoardo Cremonese, Gianluca Filippa, Marta Galvagno, Consolata Siniscalco, Ludovica Oddi, Umberto Morra di Cella, and Mirco Migliavacca, “Heat wave hinders green wave: The impact of climate extreme on the phenology of a mountain grassland,” Agricultural and Forest Meteorology, vol. 247, pp. 320–330, 2017. View at Publisher · View at Google Scholar
  • Bogna Uździcka, Marcin Stróżecki, Marek Urbaniak, and Radosław Juszczak, “Dependence of spectral characteristics on parameters describing CO2 exchange between crop species and the atmosphere,” International Agrophysics, vol. 31, no. 3, 2017. View at Publisher · View at Google Scholar
  • Lin Chen, Chunying Ren, Bai Zhang, Zongming Wang, and Yanbiao Xi, “Estimation of Forest Above-Ground Biomass by Geographically Weighted Regression and Machine Learning with Sentinel Imagery,” Forests, vol. 9, no. 10, pp. 582, 2018. View at Publisher · View at Google Scholar
  • Sofia Cerasoli, Manuel Campagnolo, Joana Faria, Carla Nogueira, and Maria da Conceição Caldeira, “On estimating the gross primary productivity of Mediterranean grasslands under different fertilization regimes using vegetation indices and hyperspectral reflectance,” Biogeosciences, vol. 15, no. 17, pp. 5455–5471, 2018. View at Publisher · View at Google Scholar
  • Radosław Juszczak, Bogna Uździcka, Marcin Stróżecki, and Karolina Sakowska, “Improving remote estimation of winter crops gross ecosystem production by inclusion of leaf area index in a spectral model,” PeerJ, vol. 6, pp. e5613, 2018. View at Publisher · View at Google Scholar
  • Anatoly A. Gitelson, Timothy J. Arkebauer, and Andrew E. Suyker, “Convergence of daily light use efficiency in irrigated and rainfed C3 and C4 crops,” Remote Sensing of Environment, vol. 217, pp. 30–37, 2018. View at Publisher · View at Google Scholar