Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

Revenga; Jaime, C.; Trepekli; Katerina;, Oehmcke; Stefan;, Jensen; Rasmus;, Li; Lei;, Igel; Christian;, Gieseke; Fabian;, Friborg; Thomas

Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods

Revenga, Jaime C.; Trepekli, Katerina; Oehmcke, Stefan; Jensen, Rasmus; Li, Lei; Igel, Christian; Gieseke, Fabian; Friborg, Thomas

Keywords

remote sensing; machine learning

Cite as

Revenga, J. C., Trepekli, K., Oehmcke, S., Jensen, R., Li, L., Igel, C., Gieseke, F., & Friborg, T. (2022). Above-Ground Biomass Prediction for Croplands at a Sub-Meter Resolution Using UAV–LiDAR and Machine Learning Methods. Remote Sensing (Remote Sens.), 14(16), 3912.

Details

Publication type

Research article (journal)

Peer reviewed

Yes

Publication status

Published

Year

2022

Journal

Remote Sensing

Volume

14

Issue

16

Start page

3912

Language

English

ISSN

2072-4292

DOI

https://doi.org/10.3390/rs14163912