15 citations as recorded by crossref.

1. Applicability Assessment of Coherent Doppler Wind LiDAR for Monitoring during Dusty Weather at the Northern Edge of the Tibetan Plateau M. Song et al. 10.3390/rs14205264
2. Vertical Structure of Air Pollutant Transport Flux as Determined by Ground-Based Remote Sensing Observations in Fen-Wei Plain, China X. Ji et al. 10.3390/rs13183664
3. Enhanced resource assessment and atmospheric monitoring of the research wind farm WiValdi N. Wildmann et al. 10.1088/1742-6596/2265/2/022029
4. Analyses of Spatial Correlation and Coherence in ABL Flow with a Fleet of UAS T. Wetz et al. 10.1007/s10546-023-00791-4
5. Seasonal Changes in Boundary-Layer Flow Over a Forested Escarpment Measured by an Uncrewed Aircraft System K. zum Berge et al. 10.1007/s10546-022-00743-4
6. Estimating CH<sub>4</sub>, CO<sub>2</sub> and CO emissions from coal mining and industrial activities in the Upper Silesian Coal Basin using an aircraft-based mass balance approach A. Fiehn et al. 10.5194/acp-20-12675-2020
7. Wind Farm Fault Detection by Monitoring Wind Speed in the Wake Region M. Tran et al. 10.3390/en13246559
8. Determination of the emission rates of CO<sub>2</sub> point sources with airborne lidar S. Wolff et al. 10.5194/amt-14-2717-2021
9. A Machine Learning-Based Model for Flight Turbulence Identification Using LiDAR Data Z. Zhuang et al. 10.3390/atmos14050797
10. Quantification of methane emissions in Hamburg using a network of FTIR spectrometers and an inverse modeling approach A. Forstmaier et al. 10.5194/acp-23-6897-2023
11. Suppression of precipitation bias in wind velocities from continuous-wave Doppler lidars L. Jin et al. 10.5194/amt-16-6007-2023
12. Estimating Upper Silesian coal mine methane emissions from airborne in situ observations and dispersion modeling J. Kostinek et al. 10.5194/acp-21-8791-2021
13. Detection and quantification of CH<sub>4</sub> plumes using the WFM-DOAS retrieval on AVIRIS-NG hyperspectral data J. Borchardt et al. 10.5194/amt-14-1267-2021
14. Quantification of CH<sub>4</sub> coal mining emissions in Upper Silesia by passive airborne remote sensing observations with the Methane Airborne MAPper (MAMAP) instrument during the CO<sub>2</sub> and Methane (CoMet) campaign S. Krautwurst et al. 10.5194/acp-21-17345-2021
15. Observational constraints on methane emissions from Polish coal mines using a ground-based remote sensing network A. Luther et al. 10.5194/acp-22-5859-2022