Current status and development trend of observation methods of ground-based cloud type and cloud amount

Jie Li; Suiping Qi; Ni Wang; Pingping Fan; Ran Ma; Zhongqiu Wang

doi:10.1117/12.2689317

31 July 2023 Current status and development trend of observation methods of ground-based cloud type and cloud amount

Jie Li, Suiping Qi, Ni Wang, Pingping Fan, Ran Ma, Zhongqiu Wang

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 1274713 (2023) https://doi.org/10.1117/12.2689317
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

Clouds are visible aggregates of small water droplets, supercooled water droplets, ice crystals or their mixtures suspended in the atmosphere; sometimes they also contain some larger raindrops, ice particles and snow crystals whose bottoms do not touch the ground[1]. The observation of clouds is an important part of meteorological observation, and the accurate acquisition of cloud information is of great importance for climate research, weather forecasting, and water resources management, among many other fields. Cloud amount, cloud type and cloud base height are the three elements of cloud observation in meteorological operations, and are also important statistics when analyzing cloud data[2]. Currently, only the cloud height measurement has been achieved, while there are no mature technologies and instruments for observing cloud type and cloud amount, and is still achieved through manual observation. In this paper, the ground-based observation technologies of cloud type and amount have been summarized, and the research status of cloud type identification and cloud amount observation have been analyzed and compared. On the basis of the image processing technologies, the development trend of cloud type and amount observation technologies are prospected by considering the number, quality, and feature extraction methods of samples.

Citation Download Citation

Jie Li, Suiping Qi, Ni Wang, Pingping Fan, Ran Ma, and Zhongqiu Wang "Current status and development trend of observation methods of ground-based cloud type and cloud amount", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 1274713 (31 July 2023); https://doi.org/10.1117/12.2689317

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Clouds

Image classification

Feature extraction

Image segmentation

Imaging systems

Neural networks

Detection and tracking algorithms

Show All Keywords

Keywords/Phrases

Search In:

Publication Years