AOD adaptive prediction method based on GNSS PWV
Aerosol optical depth (AOD) is a basic parameter of total aerosol content, which plays an important role in the study of atmospheric air quality. In order to explore the impact of different types of AOD on air quality, this paper proposes two adaptive AOD prediction methods based on GNSS PWV. The pr...
Enregistré dans:
Auteurs principaux: | ZHAO Qingzhi, SU Jing, YANG Pengfei, YAO Yibin |
---|---|
Format: | article |
Langue: | ZH |
Publié: |
Surveying and Mapping Press
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/70dc111a41e1455dba747e7d828338e3 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Preliminary study on theory and method of ground-based GNSS-IR wind speed
par: WANG Xiaolei, et autres
Publié: (2021) -
Automotive & Geomatica GNSS, SLAM e V2X le chiavi del futuro delle macchine autonome
par: Domenico Santarsiero
Publié: (2019) -
GNSS Radio Occultation in Advanced Numerical Weather Prediction Models
par: Guillermo Bosch
Publié: (2019) -
GNSS User Technology Report 2020
par: Marco Lisi
Publié: (2021) -
GNSS e droni aerei: un connubio vincente per applicazioni di telerilevamento, sorveglianza, sicurezza e logistica
par: Marco Lisi
Publié: (2021)