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
Viewed
Total article views: 3,095 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jun 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,094 | 902 | 99 | 3,095 | 62 | 90 |
- HTML: 2,094
- PDF: 902
- XML: 99
- Total: 3,095
- BibTeX: 62
- EndNote: 90
Total article views: 2,614 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 May 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,819 | 707 | 88 | 2,614 | 59 | 75 |
- HTML: 1,819
- PDF: 707
- XML: 88
- Total: 2,614
- BibTeX: 59
- EndNote: 75
Total article views: 481 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 29 Jun 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 275 | 195 | 11 | 481 | 3 | 15 |
- HTML: 275
- PDF: 195
- XML: 11
- Total: 481
- BibTeX: 3
- EndNote: 15
Viewed (geographical distribution)
Total article views: 3,095 (including HTML, PDF, and XML)
Thereof 2,879 with geography defined
and 216 with unknown origin.
Total article views: 2,614 (including HTML, PDF, and XML)
Thereof 2,412 with geography defined
and 202 with unknown origin.
Total article views: 481 (including HTML, PDF, and XML)
Thereof 467 with geography defined
and 14 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
14 citations as recorded by crossref.
- Spatial mapping of key plant functional traits in terrestrial ecosystems across China N. An et al. 10.5194/essd-16-1771-2024
- Inferring plant functional diversity from space: the potential of Sentinel-2 X. Ma et al. 10.1016/j.rse.2019.111368
- The Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI): Algorithm Improvements, Spatiotemporal Consistency and Continuity with the MERIS Archive J. Pastor-Guzman et al. 10.3390/rs12162652
- Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method Y. Loozen et al. 10.1016/j.rse.2020.111933
- Exploring the use of vegetation indices to sense canopy nitrogen to phosphorous ratio in grasses Y. Loozen et al. 10.1016/j.jag.2018.08.012
- Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery M. Jamali et al. 10.1016/j.ecoinf.2022.101967
- Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data Q. Sun et al. 10.1016/j.ecoinf.2023.102315
- Advancing our understanding of plant diversity-biological invasion relationships using imaging spectroscopy H. Gholizadeh et al. 10.1016/j.rse.2024.114028
- Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data Z. Zhang et al. 10.3390/rs12121927
- Improved Global Gross Primary Productivity Estimation by Considering Canopy Nitrogen Concentrations and Multiple Environmental Factors H. Zhang et al. 10.3390/rs15030698
- An improved light use efficiency model by considering canopy nitrogen concentrations and multiple environmental factors H. Zhang et al. 10.1016/j.agrformet.2023.109359
- Towards comparable assessment of the soil nutrient status across scales—Review and development of nutrient metrics K. Van Sundert et al. 10.1111/gcb.14802
- Explaining Leaf Nitrogen Distribution in a Semi-Arid Environment Predicted on Sentinel-2 Imagery Using a Field Spectroscopy Derived Model A. Ramoelo & M. Cho 10.3390/rs10020269
- Nitrogen Availability Dampens the Positive Impacts of CO2 Fertilization on Terrestrial Ecosystem Carbon and Water Cycles L. He et al. 10.1002/2017GL075981
12 citations as recorded by crossref.
- Spatial mapping of key plant functional traits in terrestrial ecosystems across China N. An et al. 10.5194/essd-16-1771-2024
- Inferring plant functional diversity from space: the potential of Sentinel-2 X. Ma et al. 10.1016/j.rse.2019.111368
- The Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI): Algorithm Improvements, Spatiotemporal Consistency and Continuity with the MERIS Archive J. Pastor-Guzman et al. 10.3390/rs12162652
- Mapping canopy nitrogen in European forests using remote sensing and environmental variables with the random forests method Y. Loozen et al. 10.1016/j.rse.2020.111933
- Exploring the use of vegetation indices to sense canopy nitrogen to phosphorous ratio in grasses Y. Loozen et al. 10.1016/j.jag.2018.08.012
- Wheat leaf traits monitoring based on machine learning algorithms and high-resolution satellite imagery M. Jamali et al. 10.1016/j.ecoinf.2022.101967
- Estimation of canopy nitrogen nutrient status in lodging maize using unmanned aerial vehicles hyperspectral data Q. Sun et al. 10.1016/j.ecoinf.2023.102315
- Advancing our understanding of plant diversity-biological invasion relationships using imaging spectroscopy H. Gholizadeh et al. 10.1016/j.rse.2024.114028
- Evaluating the Performance of Sentinel-3A OLCI Land Products for Gross Primary Productivity Estimation Using AmeriFlux Data Z. Zhang et al. 10.3390/rs12121927
- Improved Global Gross Primary Productivity Estimation by Considering Canopy Nitrogen Concentrations and Multiple Environmental Factors H. Zhang et al. 10.3390/rs15030698
- An improved light use efficiency model by considering canopy nitrogen concentrations and multiple environmental factors H. Zhang et al. 10.1016/j.agrformet.2023.109359
- Towards comparable assessment of the soil nutrient status across scales—Review and development of nutrient metrics K. Van Sundert et al. 10.1111/gcb.14802
2 citations as recorded by crossref.
- Explaining Leaf Nitrogen Distribution in a Semi-Arid Environment Predicted on Sentinel-2 Imagery Using a Field Spectroscopy Derived Model A. Ramoelo & M. Cho 10.3390/rs10020269
- Nitrogen Availability Dampens the Positive Impacts of CO2 Fertilization on Terrestrial Ecosystem Carbon and Water Cycles L. He et al. 10.1002/2017GL075981
Discussed (final revised paper)
Latest update: 20 Nov 2024
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...
Altmetrics
Final-revised paper
Preprint