Articles | Volume 10, issue 10
https://doi.org/10.5194/bg-10-6279-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/bg-10-6279-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
07 Oct 2013
Research article | Highlight paper |
| 07 Oct 2013
Remote sensing of LAI, chlorophyll and leaf nitrogen pools of crop- and grasslands in five European landscapes
E. Boegh
Roskilde University, Dept. of Environmental, Social and Spatial Change, Roskilde, Denmark
R. Houborg
King Abdullah University of Science and Technology, Water Desalination and Reuse Center, Thuwal, Kingdom of Saudi Arabia
J. Bienkowski
Institute for Agricultural and Forest Environment, Polish Academy of Sciences, Poznan, Poland
C. F. Braban
Centre for Ecology and Hydrology, Edinburgh Research Station, Penicuik, UK
T. Dalgaard
Aarhus University, Dept of Agroecology, Tjele, Denmark
N. van Dijk
Centre for Ecology and Hydrology, Edinburgh Research Station, Penicuik, UK
U. Dragosits
Centre for Ecology and Hydrology, Edinburgh Research Station, Penicuik, UK
E. Holmes
Roskilde University, Dept. of Environmental, Social and Spatial Change, Roskilde, Denmark
V. Magliulo
CNR ISAFoM, Napoli, Italy
K. Schelde
Aarhus University, Dept of Agroecology, Tjele, Denmark
P. Di Tommasi
CNR ISAFoM, Napoli, Italy
L. Vitale
CNR ISAFoM, Napoli, Italy
M. R. Theobald
Centre for Ecology and Hydrology, Edinburgh Research Station, Penicuik, UK
Technical University of Madrid, E. T. S. I Agrónomos, Madrid, Spain
P. Cellier
INRA, UMR1091 Environnement et Grandes Cultures, Thiverval-Grignon, France
M. A. Sutton
Centre for Ecology and Hydrology, Edinburgh Research Station, Penicuik, UK
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- Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland B. Lu & Y. He 10.1016/j.isprsjprs.2017.03.011
- Investigating Plant Response to Soil Characteristics and Slope Positions in a Small Catchment T. Zsigmond et al. 10.3390/land11060774
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- Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods P. Rosso et al. 10.1007/s11119-022-09893-4
- Satellite high-spatial-resolution multispectral imagery for crop type identification using Sentinel Application Platform and R software B. Boiarskii 10.1088/1742-6596/1679/3/032046
- Growing season leaf carbon:nitrogen dynamics in Arctic tundra vegetation from ground and Sentinel-2 observations reveal reallocation timing and upscaling potential A. Westergaard-Nielsen et al. 10.1016/j.rse.2021.112512
- Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm A. Nguy-Robertson et al. 10.1016/j.agrformet.2014.03.004
- Crop specific inversion of PROSAIL to retrieve green area index (GAI) from several decametric satellites using a Bayesian framework J. Wang et al. 10.1016/j.rse.2022.113085
- A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat S. Shah et al. 10.3390/rs11080920
- Mapping spatial variability of foliar nitrogen and carbon in Indian tropical moist deciduous sal (Shorea robusta) forest using machine learning algorithms and Sentinel-2 data V. Vasudeva et al. 10.1080/01431161.2020.1823043
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- Evaluation of nitrogen treatment effects on the reflectance of cotton at different spatial scales F. Muharam et al. 10.1080/01431161.2018.1488286
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- Hyperspectral UAV Images at Different Altitudes for Monitoring the Leaf Nitrogen Content in Cotton Crops C. Yin et al. 10.3390/rs14112576
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- Mapping leaf nitrogen and carbon concentrations of intact and fragmented indigenous forest ecosystems using empirical modeling techniques and WorldView-2 data G. Omer et al. 10.1016/j.isprsjprs.2017.07.005
- Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery M. Schirrmann et al. 10.3390/rs8090706
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- Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest H. Yang et al. 10.1038/s41598-017-01260-y
- Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency A. Rocha et al. 10.3390/rs10081263
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- A novel reflectance-based model for evaluating chlorophyll concentrations of fresh and water-stressed leaves C. Lin et al. 10.5194/bg-12-49-2015
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- Satellite retrievals of leaf chlorophyll and photosynthetic capacity for improved modeling of GPP R. Houborg et al. 10.1016/j.agrformet.2013.04.006
- Estimating Canopy Nitrogen Content in a Heterogeneous Grassland with Varying Fire and Grazing Treatments: Konza Prairie, Kansas, USA B. Ling et al. 10.3390/rs6054430
37 citations as recorded by crossref.
- Assessing the Impact of Soil on Species Diversity Estimation Based on UAV Imaging Spectroscopy in a Natural Alpine Steppe C. Xu et al. 10.3390/rs14030671
- Estimation of leaf nitrogen concentration in wheat using the MK-SVR algorithm and satellite remote sensing data L. Wang et al. 10.1016/j.compag.2017.05.023
- Mapping Foliar Nutrition Using WorldView-3 and WorldView-2 to Assess Koala Habitat Suitability H. Wu et al. 10.3390/rs11030215
- Estimation of leaf area index using PROSAIL based LUT inversion, MLRA-GPR and empirical models: Case study of tropical deciduous forest plantation, North India S. Sinha et al. 10.1016/j.jag.2019.102027
- Inversion of Winter Wheat Growth Parameters and Yield Under Different Water Treatments Based on UAV Multispectral Remote Sensing X. Han et al. 10.3389/fpls.2021.609876
- Species classification using Unmanned Aerial Vehicle (UAV)-acquired high spatial resolution imagery in a heterogeneous grassland B. Lu & Y. He 10.1016/j.isprsjprs.2017.03.011
- Investigating Plant Response to Soil Characteristics and Slope Positions in a Small Catchment T. Zsigmond et al. 10.3390/land11060774
- Estimation of biomass in wheat using random forest regression algorithm and remote sensing data L. Wang et al. 10.1016/j.cj.2016.01.008
- Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods P. Rosso et al. 10.1007/s11119-022-09893-4
- Satellite high-spatial-resolution multispectral imagery for crop type identification using Sentinel Application Platform and R software B. Boiarskii 10.1088/1742-6596/1679/3/032046
- Growing season leaf carbon:nitrogen dynamics in Arctic tundra vegetation from ground and Sentinel-2 observations reveal reallocation timing and upscaling potential A. Westergaard-Nielsen et al. 10.1016/j.rse.2021.112512
- Estimating green LAI in four crops: Potential of determining optimal spectral bands for a universal algorithm A. Nguy-Robertson et al. 10.1016/j.agrformet.2014.03.004
- Crop specific inversion of PROSAIL to retrieve green area index (GAI) from several decametric satellites using a Bayesian framework J. Wang et al. 10.1016/j.rse.2022.113085
- A Random Forest Machine Learning Approach for the Retrieval of Leaf Chlorophyll Content in Wheat S. Shah et al. 10.3390/rs11080920
- Mapping spatial variability of foliar nitrogen and carbon in Indian tropical moist deciduous sal (Shorea robusta) forest using machine learning algorithms and Sentinel-2 data V. Vasudeva et al. 10.1080/01431161.2020.1823043
- Optical remote sensing of crop biophysical and biochemical parameters: An overview of advances in sensor technologies and machine learning algorithms for precision agriculture M. Kganyago et al. 10.1016/j.compag.2024.108730
- Evaluation of nitrogen treatment effects on the reflectance of cotton at different spatial scales F. Muharam et al. 10.1080/01431161.2018.1488286
- Evaluating sensitivity of hyperspectral indices for estimating mangrove chlorophyll in Middle Andaman Island, India R. George et al. 10.1007/s10661-019-7679-6
- Vertical distributions of chlorophyll and nitrogen and their associations with photosynthesis under drought and rewatering regimes in a maize field Y. Li et al. 10.1016/j.agrformet.2019.03.026
- Hyperspectral UAV Images at Different Altitudes for Monitoring the Leaf Nitrogen Content in Cotton Crops C. Yin et al. 10.3390/rs14112576
- Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of Rice Panicles . He et al. 10.3390/rs11151809
- Mapping leaf nitrogen and carbon concentrations of intact and fragmented indigenous forest ecosystems using empirical modeling techniques and WorldView-2 data G. Omer et al. 10.1016/j.isprsjprs.2017.07.005
- Monitoring Agronomic Parameters of Winter Wheat Crops with Low-Cost UAV Imagery M. Schirrmann et al. 10.3390/rs8090706
- Performance assessment of the Sentinel-2 LAI products and data fusion techniques for developing new LAI datasets over the high-altitude Himalayan forests V. Dugesar et al. 10.1080/10106049.2023.2247380
- Mapping vegetation biophysical and biochemical properties using unmanned aerial vehicles-acquired imagery B. Lu et al. 10.1080/01431161.2017.1363441
- Vegetation traits of pre-Alpine grasslands in southern Germany A. Schucknecht et al. 10.1038/s41597-020-00651-7
- Unmanned aerial vehicle-based remote sensing in monitoring smallholder, heterogeneous crop fields in Tanzania I. Yonah et al. 10.1080/01431161.2018.1455241
- Empirical Prediction of Leaf Area Index (LAI) of Endangered Tree Species in Intact and Fragmented Indigenous Forests Ecosystems Using WorldView-2 Data and Two Robust Machine Learning Algorithms G. Omer et al. 10.3390/rs8040324
- Seasonal variations of leaf and canopy properties tracked by ground-based NDVI imagery in a temperate forest H. Yang et al. 10.1038/s41598-017-01260-y
- Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency A. Rocha et al. 10.3390/rs10081263
- Effects of Crop Leaf Angle on LAI-Sensitive Narrow-Band Vegetation Indices Derived from Imaging Spectroscopy X. Zou et al. 10.3390/app8091435
- Indoor Plant Soil-Plant Analysis Development (SPAD) Prediction Based on Multispectral Indices and Soil Electroconductivity: A Deep Learning Approach D. Radočaj et al. 10.3390/horticulturae9121290
- Comparison of Direct and Indirect Determination of Leaf Area Index in Permanent Grassland A. Klingler et al. 10.1007/s41064-020-00119-8
- A novel reflectance-based model for evaluating chlorophyll concentrations of fresh and water-stressed leaves C. Lin et al. 10.5194/bg-12-49-2015
- Estimating canopy LAI and chlorophyll of tropical forest plantation (North India) using Sentinel-2 data H. Padalia et al. 10.1016/j.asr.2019.09.023
- Spectral indices for remote sensing of phytomass, deciduous shrubs, and productivity in Alaskan Arctic tundra K. Kushida et al. 10.1080/01431161.2015.1080878
- Maize leaf functional responses to blending urea and slow-release nitrogen fertilizer under various drip irrigation regimes J. Guo et al. 10.1016/j.agwat.2021.107396
3 citations as recorded by crossref.
- Quantifying mangrove chlorophyll from high spatial resolution imagery M. Heenkenda et al. 10.1016/j.isprsjprs.2015.08.003
- Satellite retrievals of leaf chlorophyll and photosynthetic capacity for improved modeling of GPP R. Houborg et al. 10.1016/j.agrformet.2013.04.006
- Estimating Canopy Nitrogen Content in a Heterogeneous Grassland with Varying Fire and Grazing Treatments: Konza Prairie, Kansas, USA B. Ling et al. 10.3390/rs6054430
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