Articles | Volume 15, issue 9
https://doi.org/10.5194/bg-15-2723-2018
© Author(s) 2018. 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-15-2723-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
07 May 2018
Research article |
| 07 May 2018
Remote sensing of canopy nitrogen at regional scale in Mediterranean forests using the spaceborne MERIS Terrestrial Chlorophyll Index
Copernicus Institute of sustainable development, Faculty of
Geosciences, Utrecht University, Utrecht, the Netherlands
Karin T. Rebel
Copernicus Institute of sustainable development, Faculty of
Geosciences, Utrecht University, Utrecht, the Netherlands
Derek Karssenberg
Physiscal geography, Faculty of Geosciences, Utrecht University,
Utrecht, the Netherlands
Martin J. Wassen
Copernicus Institute of sustainable development, Faculty of
Geosciences, Utrecht University, Utrecht, the Netherlands
Jordi Sardans
CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia,
Spain
CREAF, Cerdanyola del Vallès, Catalonia, Spain
Josep Peñuelas
CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Catalonia,
Spain
CREAF, Cerdanyola del Vallès, Catalonia, Spain
Steven M. De Jong
Physiscal geography, Faculty of Geosciences, Utrecht University,
Utrecht, the Netherlands
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Cited
17 citations as recorded by crossref.
- Inferring plant functional diversity from space: the potential of Sentinel-2 X. Ma et al.
- The Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI): Algorithm Improvements, Spatiotemporal Consistency and Continuity with the MERIS Archive J. Pastor-Guzman et al.
- Enhancing canopy nitrogen estimation in Torreya Grandis based on advanced SLIC-EVI and HMT-seCNN methods using hyperspectral UAV data L. Xu et al.
- Unraveling Crop Nitrogen-Water Dynamics with Hyperspectral-Thermal Sensing in Northern Central Valley, California S. Fazli et al.
- Exploring the use of vegetation indices to sense canopy nitrogen to phosphorous ratio in grasses Y. Loozen et al.
- Forest Restoration Potential and Carbon-Stock Interface: Integration of Spectroscopy-Derived Biomass Maps with Machine-Learning Regression Models V. Anupoju et al.
- Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data Q. Sun et al.
- Advancing our understanding of plant diversity-biological invasion relationships using imaging spectroscopy H. Gholizadeh et al.
- Correlations between savannah tree leaf chlorophyll concentrations and vegetation indices on a PRISMA hyperspectral image C. Munyati
- Improved Global Gross Primary Productivity Estimation by Considering Canopy Nitrogen Concentrations and Multiple Environmental Factors H. Zhang et al.
- Towards comparable assessment of the soil nutrient status across scales—Review and development of nutrient metrics K. Van Sundert et al.
- Spatial mapping of key plant functional traits in terrestrial ecosystems across China N. An et al.
- Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method Y. Loozen et al.
- Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery M. Jamali et al.
- Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: a review of methods, sensors and study areas S. Hasti & M. Ghamary Asl
- Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data Z. Zhang et al.
- An improved light use efficiency model by considering canopy nitrogen concentrations and multiple environmental factors H. Zhang et al.
17 citations as recorded by crossref.
- Inferring plant functional diversity from space: the potential of Sentinel-2 X. Ma et al.
- The Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI): Algorithm Improvements, Spatiotemporal Consistency and Continuity with the MERIS Archive J. Pastor-Guzman et al.
- Enhancing canopy nitrogen estimation in Torreya Grandis based on advanced SLIC-EVI and HMT-seCNN methods using hyperspectral UAV data L. Xu et al.
- Unraveling Crop Nitrogen-Water Dynamics with Hyperspectral-Thermal Sensing in Northern Central Valley, California S. Fazli et al.
- Exploring the use of vegetation indices to sense canopy nitrogen to phosphorous ratio in grasses Y. Loozen et al.
- Forest Restoration Potential and Carbon-Stock Interface: Integration of Spectroscopy-Derived Biomass Maps with Machine-Learning Regression Models V. Anupoju et al.
- Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data Q. Sun et al.
- Advancing our understanding of plant diversity-biological invasion relationships using imaging spectroscopy H. Gholizadeh et al.
- Correlations between savannah tree leaf chlorophyll concentrations and vegetation indices on a PRISMA hyperspectral image C. Munyati
- Improved Global Gross Primary Productivity Estimation by Considering Canopy Nitrogen Concentrations and Multiple Environmental Factors H. Zhang et al.
- Towards comparable assessment of the soil nutrient status across scales—Review and development of nutrient metrics K. Van Sundert et al.
- Spatial mapping of key plant functional traits in terrestrial ecosystems across China N. An et al.
- Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method Y. Loozen et al.
- Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery M. Jamali et al.
- Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: a review of methods, sensors and study areas S. Hasti & M. Ghamary Asl
- Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data Z. Zhang et al.
- An improved light use efficiency model by considering canopy nitrogen concentrations and multiple environmental factors H. Zhang et al.
Saved (final revised paper)
Latest update: 25 Apr 2026
Short summary
Nitrogen (N) is an essential nutrient for plant growth. It would be interesting to detect it using satellite data. The goal was to investigate if it is possible to remotely sense the canopy nitrogen concentration and content of Mediterranean trees using a product calculated from satellite reflectance data, the MERIS Terrestrial Chlorophyll Index (MTCI). The tree plots were located in Catalonia, NE Spain. The relationship between MTCI and canopy N was present but dependent on the type of trees.
Nitrogen (N) is an essential nutrient for plant growth. It would be interesting to detect it...
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