Asset Details
Do you wish to reserve the book?
3D Cloud Field Retrieval using Multi-Angle Polarimetric Measurements
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
3D Cloud Field Retrieval using Multi-Angle Polarimetric Measurements
Do you wish to request the book?
3D Cloud Field Retrieval using Multi-Angle Polarimetric Measurements
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
3D Cloud Field Retrieval using Multi-Angle Polarimetric Measurements
2025
Overview
Active sensors capture cloud three-dimensional structures accurately, while their cloud profile products are restricted to narrow orbital trajectory. In contrast, passive sensors can capture the image structure of clouds over a large area, it is difficult to obtain features in the clouds’ vertical distribution. Therefore, in order to obtain the three-dimensional distributions of clouds, this study used the A-train Cloud Segment (ATCS) datasets, combining with active and multi-angle polarimetric measurements as input to generate a deep-learning-based cloud fraction retrieval model. We tested the retrieved vertical features of clouds, the results indicate that the new model is able to use passive sensor datasets to retrieve the three-dimensional vertical features of clouds. This work provides insights into the three-dimensional cloud feature retrieval using passive satellite data.
Publisher
IOP Publishing
Subject
