Articles | Volume 13, issue 13
https://doi.org/10.5194/bg-13-3847-2016
© 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-13-3847-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Spaceborne potential for examining taiga–tundra ecotone form and vulnerability
Paul M. Montesano
CORRESPONDING AUTHOR
Science Systems and Applications, Inc., Lanham, MD 20706, USA
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Guoqing Sun
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
University of Maryland, Department of Geographical Sciences, College Park, MD 20742, USA
Ralph O. Dubayah
University of Maryland, Department of Geographical Sciences, College Park, MD 20742, USA
K. Jon Ranson
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
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Cited
20 citations as recorded by crossref.
- Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence D. Fu et al. 10.3390/rs11121460
- The use of sun elevation angle for stereogrammetric boreal forest height in open canopies P. Montesano et al. 10.1016/j.rse.2017.04.024
- Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges P. Nelson et al. 10.1029/2021JG006697
- Dispersal distances and migration rates at the arctic treeline in Siberia – a genetic and simulation-based study S. Kruse et al. 10.5194/bg-16-1211-2019
- Role of LiDAR remote sensing in identifying physiognomic traits of alpine treeline: a global review J. Mathew et al. 10.1007/s42965-023-00317-6
- Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 S. Kruse et al. 10.5194/gmd-11-4451-2018
- Improved derivation of forest stand canopy height structure using harmonized metrics of full-waveform data C. Lin 10.1016/j.rse.2019.111436
- Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data H. Travers-Smith et al. 10.1016/j.rse.2024.114097
- Treelines—Approaches at Different Scales F. Holtmeier & G. Broll 10.3390/su9050808
- Reducing model uncertainty of climate change impacts on high latitude carbon assimilation A. Rogers et al. 10.1111/gcb.15958
- Strong shrub expansion in tundra-taiga, tree infilling in taiga and stable tundra in central Chukotka (north-eastern Siberia) between 2000 and 2017 I. Shevtsova et al. 10.1088/1748-9326/ab9059
- Estimating tree height from TanDEM-X data at the northwestern Canadian treeline S. Antonova et al. 10.1016/j.rse.2019.111251
- The ABoVE L-band and P-band airborne synthetic aperture radar surveys C. Miller et al. 10.5194/essd-16-2605-2024
- Trees outside forests are an underestimated resource in a country with low forest cover N. Thomas et al. 10.1038/s41598-021-86944-2
- Surface Reflectance From Commercial Very High Resolution Multispectral Imagery Estimated Empirically With Synthetic Landsat (2023) P. Montesano et al. 10.1109/JSTARS.2024.3456587
- Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
- Forest structure and individual tree inventories of northeastern Siberia along climatic gradients T. Miesner et al. 10.5194/essd-14-5695-2022
- Horizontal Pattern of Trees in the Cenopopulation of Larix gmelinii (Rupr.) Rupr. in the Forest Tundra Ecotone on the Taimyr Peninsula A. Bondarev & O. Secretenko 10.1134/S106741362401003X
- The bioclimatic extent and pattern of the cold edge of the boreal forest: the circumpolar taiga-tundra ecotone P. Montesano et al. 10.1088/1748-9326/abb2c7
- Delineation of the forest-tundra ecotone using texture-based classification of satellite imagery W. Guo et al. 10.1080/01431161.2020.1734254
19 citations as recorded by crossref.
- Patterns of Arctic Tundra Greenness Based on Spatially Downscaled Solar-Induced Fluorescence D. Fu et al. 10.3390/rs11121460
- The use of sun elevation angle for stereogrammetric boreal forest height in open canopies P. Montesano et al. 10.1016/j.rse.2017.04.024
- Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges P. Nelson et al. 10.1029/2021JG006697
- Dispersal distances and migration rates at the arctic treeline in Siberia – a genetic and simulation-based study S. Kruse et al. 10.5194/bg-16-1211-2019
- Role of LiDAR remote sensing in identifying physiognomic traits of alpine treeline: a global review J. Mathew et al. 10.1007/s42965-023-00317-6
- Implementing spatially explicit wind-driven seed and pollen dispersal in the individual-based larch simulation model: LAVESI-WIND 1.0 S. Kruse et al. 10.5194/gmd-11-4451-2018
- Improved derivation of forest stand canopy height structure using harmonized metrics of full-waveform data C. Lin 10.1016/j.rse.2019.111436
- Mapping vegetation height and identifying the northern forest limit across Canada using ICESat-2, Landsat time series and topographic data H. Travers-Smith et al. 10.1016/j.rse.2024.114097
- Treelines—Approaches at Different Scales F. Holtmeier & G. Broll 10.3390/su9050808
- Reducing model uncertainty of climate change impacts on high latitude carbon assimilation A. Rogers et al. 10.1111/gcb.15958
- Strong shrub expansion in tundra-taiga, tree infilling in taiga and stable tundra in central Chukotka (north-eastern Siberia) between 2000 and 2017 I. Shevtsova et al. 10.1088/1748-9326/ab9059
- Estimating tree height from TanDEM-X data at the northwestern Canadian treeline S. Antonova et al. 10.1016/j.rse.2019.111251
- The ABoVE L-band and P-band airborne synthetic aperture radar surveys C. Miller et al. 10.5194/essd-16-2605-2024
- Trees outside forests are an underestimated resource in a country with low forest cover N. Thomas et al. 10.1038/s41598-021-86944-2
- Surface Reflectance From Commercial Very High Resolution Multispectral Imagery Estimated Empirically With Synthetic Landsat (2023) P. Montesano et al. 10.1109/JSTARS.2024.3456587
- Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
- Forest structure and individual tree inventories of northeastern Siberia along climatic gradients T. Miesner et al. 10.5194/essd-14-5695-2022
- Horizontal Pattern of Trees in the Cenopopulation of Larix gmelinii (Rupr.) Rupr. in the Forest Tundra Ecotone on the Taimyr Peninsula A. Bondarev & O. Secretenko 10.1134/S106741362401003X
- The bioclimatic extent and pattern of the cold edge of the boreal forest: the circumpolar taiga-tundra ecotone P. Montesano et al. 10.1088/1748-9326/abb2c7
1 citations as recorded by crossref.
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Short summary
We demonstrate the potential of spaceborne data for integrating forest height and density to assess forest structure for patches in the taiga–tundra ecotone. We map forest patches at sites in northern Siberia with spaceborne data and examine the uncertainty of forest patch height estimates across these ecotone sites. Results demonstrate the opportunities for improving patch-based spaceborne estimates of forest height and forest structure patterns in the circumpolar domain.
We demonstrate the potential of spaceborne data for integrating forest height and density to...
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