Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data
The capability of spaceborne stereogrammetry using very high-resolution (VHR, <2 m) imagery with various environmental, experimental, and sensor configurations for characterizing forest canopy surfaces has not been completely explored. Existing archives of VHR imagery include a limited subset of...
| Main Authors: | , , , , , , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/174048 |
| _version_ | 1811686084614029312 |
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| author | Yin, Tiangang Montesano, Paul M. Cook, Bruce D. Chavanon, Eric Neigh, Christopher S. R. Shean, David Peng, Dongju Lauret, Nicolas Mkaouar, Ameni Morton, Douglas C. Regaieg, Omar Zhen, Zhijun Gastellu-Etchegorry, Jean-Philippe |
| author2 | Earth Observatory of Singapore |
| author_facet | Earth Observatory of Singapore Yin, Tiangang Montesano, Paul M. Cook, Bruce D. Chavanon, Eric Neigh, Christopher S. R. Shean, David Peng, Dongju Lauret, Nicolas Mkaouar, Ameni Morton, Douglas C. Regaieg, Omar Zhen, Zhijun Gastellu-Etchegorry, Jean-Philippe |
| author_sort | Yin, Tiangang |
| collection | NTU |
| description | The capability of spaceborne stereogrammetry using very high-resolution (VHR, <2 m) imagery with various environmental, experimental, and sensor configurations for characterizing forest canopy surfaces has not been completely explored. Existing archives of VHR imagery include a limited subset of potential stereo image acquisition configurations and may therefore exclude optimal configurations for capturing critical structural features of forest canopy surface. By contrast, simulated VHR imagery from 3-D radiative transfer models (RTM) can explore the full range of spatial, spectral, and sun-sensor configurations to identify factors that contribute to uncertainties in stereo-derived estimates of forest canopy structure. We developed a novel method to simulate VHR stereopairs using the discrete anisotropic radiative transfer (DART) model and then derive surface elevations from the simulated images. We reconstructed one open-canopy and one closed-canopy forest scene and created a reference digital surface model/digital terrain model (DSM/DTM) using airborne small-footprint lidar points over the study sites. The VHR simulations were configured to match three independent WorldView stereopairs. The results showed that, compared to the reference DSM, the surface elevations derived using simulated and WorldView image data were consistent, with differences of <1.6 m in vertical bias, < 1 m in root mean square error (RMSE), and < 0.07 in correlation coefficient (R). We demonstrated that realistic 3-D RTM simulations could be georeferenced with a camera model for DSM generation from simulated stereopairs. This work will support a follow-up investigation that examines stereo-derived DSM quality over a broad range of surface types and acquisition parameters to suggest optimal configurations for actual VHR stereo data acquisition of vegetation canopy surfaces. |
| first_indexed | 2024-10-01T04:54:48Z |
| format | Journal Article |
| id | ntu-10356/174048 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:54:48Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | ntu-10356/1740482024-03-19T15:37:03Z Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data Yin, Tiangang Montesano, Paul M. Cook, Bruce D. Chavanon, Eric Neigh, Christopher S. R. Shean, David Peng, Dongju Lauret, Nicolas Mkaouar, Ameni Morton, Douglas C. Regaieg, Omar Zhen, Zhijun Gastellu-Etchegorry, Jean-Philippe Earth Observatory of Singapore Earth and Environmental Sciences Radiative transfer model Photogrammetry The capability of spaceborne stereogrammetry using very high-resolution (VHR, <2 m) imagery with various environmental, experimental, and sensor configurations for characterizing forest canopy surfaces has not been completely explored. Existing archives of VHR imagery include a limited subset of potential stereo image acquisition configurations and may therefore exclude optimal configurations for capturing critical structural features of forest canopy surface. By contrast, simulated VHR imagery from 3-D radiative transfer models (RTM) can explore the full range of spatial, spectral, and sun-sensor configurations to identify factors that contribute to uncertainties in stereo-derived estimates of forest canopy structure. We developed a novel method to simulate VHR stereopairs using the discrete anisotropic radiative transfer (DART) model and then derive surface elevations from the simulated images. We reconstructed one open-canopy and one closed-canopy forest scene and created a reference digital surface model/digital terrain model (DSM/DTM) using airborne small-footprint lidar points over the study sites. The VHR simulations were configured to match three independent WorldView stereopairs. The results showed that, compared to the reference DSM, the surface elevations derived using simulated and WorldView image data were consistent, with differences of <1.6 m in vertical bias, < 1 m in root mean square error (RMSE), and < 0.07 in correlation coefficient (R). We demonstrated that realistic 3-D RTM simulations could be georeferenced with a camera model for DSM generation from simulated stereopairs. This work will support a follow-up investigation that examines stereo-derived DSM quality over a broad range of surface types and acquisition parameters to suggest optimal configurations for actual VHR stereo data acquisition of vegetation canopy surfaces. Published version This research was supported by (1) NASA Goddard Space Flight Center's Internal Research and Development Program, (2) NASA's Commercial SmallSat Data Acquisition Program (CDSA) augmentation to the Terrestrial Ecology Program [grant number NNH16ZDA001N CARBON], and (3) NASA's Earth Science Technology Office [grant number NNH21ZDA001N-DSI]. Maxar data were provided by NASA's Commercial Archive Data for NASA investigators under the National Geospatial-Intelligence Agency’s NextView license agreement. 2024-03-13T01:53:59Z 2024-03-13T01:53:59Z 2023 Journal Article Yin, T., Montesano, P. M., Cook, B. D., Chavanon, E., Neigh, C. S. R., Shean, D., Peng, D., Lauret, N., Mkaouar, A., Morton, D. C., Regaieg, O., Zhen, Z. & Gastellu-Etchegorry, J. (2023). Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data. Remote Sensing of Environment, 298, 113825-. https://dx.doi.org/10.1016/j.rse.2023.113825 0034-4257 https://hdl.handle.net/10356/174048 10.1016/j.rse.2023.113825 2-s2.0-85171857820 298 113825 en Remote Sensing of Environment © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). application/pdf |
| spellingShingle | Earth and Environmental Sciences Radiative transfer model Photogrammetry Yin, Tiangang Montesano, Paul M. Cook, Bruce D. Chavanon, Eric Neigh, Christopher S. R. Shean, David Peng, Dongju Lauret, Nicolas Mkaouar, Ameni Morton, Douglas C. Regaieg, Omar Zhen, Zhijun Gastellu-Etchegorry, Jean-Philippe Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data |
| title | Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data |
| title_full | Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data |
| title_fullStr | Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data |
| title_full_unstemmed | Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data |
| title_short | Modeling forest canopy surface retrievals using very high-resolution spaceborne stereogrammetry: (I) methods and comparisons with actual data |
| title_sort | modeling forest canopy surface retrievals using very high resolution spaceborne stereogrammetry i methods and comparisons with actual data |
| topic | Earth and Environmental Sciences Radiative transfer model Photogrammetry |
| url | https://hdl.handle.net/10356/174048 |
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