Optimization and Representativeness of Atmospheric Chemical Sampling by Hovering Unmanned Aerial Vehicles Over Tropical Forests

Optimization and Representativeness of Atmospheric Chemical Sampling by Hovering Unmanned Aerial Vehicles Over Tropical Forests

Abstract Atmospheric chemical species play critical roles in ecosystem functioning and climate, but spatially resolving near‐surface concentrations has been challenging. In this regard, hovering unmanned aerial vehicles (UAVs) represent an emerging technology. The study herein provides guidance for...

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Bibliographic Details
Main Authors: Yongjing Ma, Jianhuai Ye, Igor Oliveira Ribeiro, Jordi Vilà‐Guerau de Arellano, Jinyuan Xin, Wenyu Zhang, Rodrigo Augusto Ferreira de Souza, Scot T. Martin
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-04-01
Series:Earth and Space Science
Subjects:
atmospheric chemical sampling
large‐eddy simulations
tropical forests
unmanned aerial vehicles
Online Access:https://doi.org/10.1029/2020EA001335

Internet

https://doi.org/10.1029/2020EA001335

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