Evaluating Close-Range Photogrammetry for 3D Understory Fuel Characterization and Biomass Prediction in Pine Forests

Understory biomass plays an important role in forests, and explicit characterizations of live and dead understory vegetation are critical for wildland fuel characterization and to link understory vegetation to ecosystem processes. Current methods to accurately model understory fuel complexity in 3D...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 15; H. 19; S. 4837
Hauptverfasser:	Cova, Gina R., Prichard, Susan J., Rowell, Eric, Drye, Brian, Eagle, Paige, Kennedy, Maureen C., Nemens, Deborah G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.10.2023
Schlagworte:	Automation Biomass biomass estimation cameras close range photogrammetry Comparative analysis Coniferous forests Data collection ecosystems Forest & brush fires Forests and forestry Fuels Measurement Photogrammetry Pine trees Pinus elliottii Pinus ponderosa Plant biomass point clouds prediction Prediction models Remote sensing Sampling Software structure from motion Surveys Three dimensional models Understory understory fuels Vegetation wildland United States Oregon Montana Florida United States > US Lubrecht Experimental Forest
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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