Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures
- DOI
- 10.3390/rs6054582
- Published
- 2014-05-21
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs6054582,
title = {Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures},
author = {Nadja Stumberg and Marius Hauglin and Ole Bollandsås and Terje Gobakken and Erik Næsset},
year = {2014},
journal = {Remote Sensing},
doi = {10.3390/rs6054582},
url = {https://doi.org/10.3390/rs6054582}
}RIS
TY - JOUR TI - Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures AU - Nadja Stumberg AU - Marius Hauglin AU - Ole Bollandsås AU - Terje Gobakken AU - Erik Næsset PY - 2014 JO - Remote Sensing DO - 10.3390/rs6054582 UR - https://doi.org/10.3390/rs6054582 ER -
APA
Stumberg, N., Hauglin, M., Bollandsås, O., Gobakken, T., & Næsset, E. (2014). Improving Classification of Airborne Laser Scanning Echoes in the Forest-Tundra Ecotone Using Geostatistical and Statistical Measures. Remote Sensing. https://doi.org/10.3390/rs6054582
Source records
- crossref · retrieved 2026-09-26T13:24:08.268Z