Articles | Volume 13, issue 1
https://doi.org/10.5194/bg-13-239-2016
© Author(s) 2016. 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-13-239-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Jan 2016
Research article |
| 15 Jan 2016
Characterizing leaf area index (LAI) and vertical foliage profile (VFP) over the United States
Department of Geographical Sciences, University of
Maryland, College Park, Maryland, USA
S. Ganguly
Bay Area Environmental Research Institute (BAERI) / NASA
Ames Research Center, Moffett Field, California, USA
G. Zhang
Bay Area Environmental Research Institute (BAERI) / NASA
Ames Research Center, Moffett Field, California, USA
M. A. Hofton
Department of Geographical Sciences, University of
Maryland, College Park, Maryland, USA
R. F. Nelson
Biospheric Sciences Branch, Code 618, NASA Goddard Space
Flight Center, Greenbelt, Maryland, USA
R. Dubayah
Department of Geographical Sciences, University of
Maryland, College Park, Maryland, USA
Viewed
Total article views: 3,809 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Aug 2015)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,975 | 1,696 | 138 | 3,809 | 291 | 103 | 129 |
- HTML: 1,975
- PDF: 1,696
- XML: 138
- Total: 3,809
- Supplement: 291
- BibTeX: 103
- EndNote: 129
Total article views: 2,930 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Jan 2016)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,660 | 1,148 | 122 | 2,930 | 291 | 97 | 122 |
- HTML: 1,660
- PDF: 1,148
- XML: 122
- Total: 2,930
- Supplement: 291
- BibTeX: 97
- EndNote: 122
Total article views: 879 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Aug 2015)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 315 | 548 | 16 | 879 | 6 | 7 |
- HTML: 315
- PDF: 548
- XML: 16
- Total: 879
- BibTeX: 6
- EndNote: 7
Cited
26 citations as recorded by crossref.
- Light-driven growth in Amazon evergreen forests explained by seasonal variations of vertical canopy structure H. Tang & R. Dubayah 10.1073/pnas.1616943114
- Canopy clumping index (CI): A review of methods, characteristics, and applications H. Fang 10.1016/j.agrformet.2021.108374
- Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges S. Liang et al. 10.1016/j.srs.2024.100152
- A linearly approximated iterative Gaussian decomposition method for waveform LiDAR processing G. Mountrakis & Y. Li 10.1016/j.isprsjprs.2017.05.009
- Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: A case study in Lopé National Park, Gabon S. Marselis et al. 10.1016/j.rse.2018.07.023
- Characterizing global forest canopy cover distribution using spaceborne lidar H. Tang et al. 10.1016/j.rse.2019.111262
- Tamm review: Leaf Area Index (LAI) is both a determinant and a consequence of important processes in vegetation canopies G. Parker 10.1016/j.foreco.2020.118496
- A Method for Quantifying Understory Leaf Area Index in a Temperate Forest through Combining Small Footprint Full-Waveform and Point Cloud LiDAR Data J. Song et al. 10.3390/rs13153036
- A Column Canopy‐Air Turbulent Diffusion Method for Different Canopy Structures X. Chen et al. 10.1029/2018JD028883
- An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications H. Fang et al. 10.1029/2018RG000608
- Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site Y. Wang et al. 10.1080/15481603.2023.2214987
- Differentiating Tree and Shrub LAI in a Mixed Forest With ICESat/GLAS Spaceborne LiDAR J. Tian et al. 10.1109/JSTARS.2016.2557074
- Vegetation canopy height shapes bats’ occupancy: a remote sensing approach F. Martins et al. 10.1080/15481603.2024.2374150
- Estimation of LAI with the LiDAR Technology: A Review Y. Wang & H. Fang 10.3390/rs12203457
- Derivation and Evaluation of LAI from the ICESat-2 Data over the NEON Sites: The Impact of Segment Size and Beam Type Y. Wang & H. Fang 10.3390/rs16163078
- Improved estimation of the underestimated GEDI footprint LAI in dense forests L. Liang et al. 10.1080/10095020.2023.2286377
- Vertical profiles of temperature, wind, and turbulent fluxes across a deciduous forest over a slope observed with a UAV B. Wrenger & J. Cuxart 10.3389/feart.2024.1159679
- Accuracy Assessment and Impact Factor Analysis of GEDI Leaf Area Index Product in Temperate Forest C. Wang et al. 10.3390/rs15061535
- Separating overstory and understory leaf area indices for global needleleaf and deciduous broadleaf forests by fusion of MODIS and MISR data Y. Liu et al. 10.5194/bg-14-1093-2017
- Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest J. Tian et al. 10.1016/j.jag.2017.05.002
- Tropical forests are mainly unstratified especially in Amazonia and regions with lower fertility or higher temperatures C. Doughty et al. 10.1088/2752-664X/ace723
- Towards high throughput assessment of canopy dynamics: The estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar G. Shao et al. 10.1016/j.rse.2018.10.035
- Definition and measurement of tree cover: A comparative analysis of field-, lidar- and landsat-based tree cover estimations in the Sierra national forests, USA H. Tang et al. 10.1016/j.agrformet.2019.01.024
- The Use of Spectral Indices to Recognize Waterlogged Agricultural Land in South Moravia, Czech Republic M. Bednář et al. 10.3390/agriculture13020287
- Quantifying Understory and Overstory Vegetation Cover Using UAV-Based RGB Imagery in Forest Plantation L. Li et al. 10.3390/rs12020298
- Rainfall interception modelling: Is the wet bulb approach adequate to estimate mean evaporation rate from wet/saturated canopies in all forest types? F. Pereira et al. 10.1016/j.jhydrol.2016.01.035
25 citations as recorded by crossref.
- Light-driven growth in Amazon evergreen forests explained by seasonal variations of vertical canopy structure H. Tang & R. Dubayah 10.1073/pnas.1616943114
- Canopy clumping index (CI): A review of methods, characteristics, and applications H. Fang 10.1016/j.agrformet.2021.108374
- Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges S. Liang et al. 10.1016/j.srs.2024.100152
- A linearly approximated iterative Gaussian decomposition method for waveform LiDAR processing G. Mountrakis & Y. Li 10.1016/j.isprsjprs.2017.05.009
- Distinguishing vegetation types with airborne waveform lidar data in a tropical forest-savanna mosaic: A case study in Lopé National Park, Gabon S. Marselis et al. 10.1016/j.rse.2018.07.023
- Characterizing global forest canopy cover distribution using spaceborne lidar H. Tang et al. 10.1016/j.rse.2019.111262
- Tamm review: Leaf Area Index (LAI) is both a determinant and a consequence of important processes in vegetation canopies G. Parker 10.1016/j.foreco.2020.118496
- A Method for Quantifying Understory Leaf Area Index in a Temperate Forest through Combining Small Footprint Full-Waveform and Point Cloud LiDAR Data J. Song et al. 10.3390/rs13153036
- A Column Canopy‐Air Turbulent Diffusion Method for Different Canopy Structures X. Chen et al. 10.1029/2018JD028883
- An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications H. Fang et al. 10.1029/2018RG000608
- Retrieval and validation of vertical LAI profile derived from airborne and spaceborne LiDAR data at a deciduous needleleaf forest site Y. Wang et al. 10.1080/15481603.2023.2214987
- Differentiating Tree and Shrub LAI in a Mixed Forest With ICESat/GLAS Spaceborne LiDAR J. Tian et al. 10.1109/JSTARS.2016.2557074
- Vegetation canopy height shapes bats’ occupancy: a remote sensing approach F. Martins et al. 10.1080/15481603.2024.2374150
- Estimation of LAI with the LiDAR Technology: A Review Y. Wang & H. Fang 10.3390/rs12203457
- Derivation and Evaluation of LAI from the ICESat-2 Data over the NEON Sites: The Impact of Segment Size and Beam Type Y. Wang & H. Fang 10.3390/rs16163078
- Improved estimation of the underestimated GEDI footprint LAI in dense forests L. Liang et al. 10.1080/10095020.2023.2286377
- Vertical profiles of temperature, wind, and turbulent fluxes across a deciduous forest over a slope observed with a UAV B. Wrenger & J. Cuxart 10.3389/feart.2024.1159679
- Accuracy Assessment and Impact Factor Analysis of GEDI Leaf Area Index Product in Temperate Forest C. Wang et al. 10.3390/rs15061535
- Separating overstory and understory leaf area indices for global needleleaf and deciduous broadleaf forests by fusion of MODIS and MISR data Y. Liu et al. 10.5194/bg-14-1093-2017
- Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest J. Tian et al. 10.1016/j.jag.2017.05.002
- Tropical forests are mainly unstratified especially in Amazonia and regions with lower fertility or higher temperatures C. Doughty et al. 10.1088/2752-664X/ace723
- Towards high throughput assessment of canopy dynamics: The estimation of leaf area structure in Amazonian forests with multitemporal multi-sensor airborne lidar G. Shao et al. 10.1016/j.rse.2018.10.035
- Definition and measurement of tree cover: A comparative analysis of field-, lidar- and landsat-based tree cover estimations in the Sierra national forests, USA H. Tang et al. 10.1016/j.agrformet.2019.01.024
- The Use of Spectral Indices to Recognize Waterlogged Agricultural Land in South Moravia, Czech Republic M. Bednář et al. 10.3390/agriculture13020287
- Quantifying Understory and Overstory Vegetation Cover Using UAV-Based RGB Imagery in Forest Plantation L. Li et al. 10.3390/rs12020298
Saved (final revised paper)
Saved (preprint)
Latest update: 21 Nov 2024
Short summary
This paper provides a unique insight into vertical distribution of leaf area index across North American ecosystems using spaceborne lidar data. This data set of leaf area index and vertical foliage profile can help set up a baseline of canopy structure needed for evaluating climate and land use induced forest changes at continental scale in the future.
This paper provides a unique insight into vertical distribution of leaf area index across North...
Altmetrics
Final-revised paper
Preprint