A multisource object-based upscaling framework for growing stock volume estimation integrating TLS, ALS, and orthophoto
- DOI
- 10.1016/j.ophoto.2026.100130
- Published
- 08
- Container
- ISPRS Open Journal of Photogrammetry and Remote Sensing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.ophoto.2026.100130,
title = {A multisource object-based upscaling framework for growing stock volume estimation integrating TLS, ALS, and orthophoto},
author = {Moonis Ali and Bharat Lohani and Markus Hollaus and Pankaj Fotedar and Norbert Pfeifer},
year = {2026},
journal = {ISPRS Open Journal of Photogrammetry and Remote Sensing},
doi = {10.1016/j.ophoto.2026.100130},
url = {https://doi.org/10.1016/j.ophoto.2026.100130}
}RIS
TY - JOUR TI - A multisource object-based upscaling framework for growing stock volume estimation integrating TLS, ALS, and orthophoto AU - Moonis Ali AU - Bharat Lohani AU - Markus Hollaus AU - Pankaj Fotedar AU - Norbert Pfeifer PY - 2026 JO - ISPRS Open Journal of Photogrammetry and Remote Sensing DO - 10.1016/j.ophoto.2026.100130 UR - https://doi.org/10.1016/j.ophoto.2026.100130 ER -
APA
Ali, M., Lohani, B., Hollaus, M., Fotedar, P., & Pfeifer, N. (2026). A multisource object-based upscaling framework for growing stock volume estimation integrating TLS, ALS, and orthophoto. ISPRS Open Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.ophoto.2026.100130
Source records
- doaj · retrieved 2026-09-26T07:41:30.384Z