An Airborne C-band One-Dimensional Microwave Interferometric Radiometer with Ocean Aviation Experimental Results
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 5305316 |
Journal / Publication | IEEE Transactions on Geoscience and Remote Sensing |
Volume | 60 |
Online published | 1 Dec 2022 |
Publication status | Published - 2022 |
Link(s)
Abstract
The medium- and large- scale global sea surface temperature (SSTs), which is an important ocean parameter, are mainly measured by the space-borne microwave radiometry. However, the resolution and sensitivity are greatly limited by antenna size, orbit altitude, and flight speed. In this paper, an airborne C-band one-dimensional (1-D) microwave interferometric radiometer (ACMIR) is developed to obtain the SSTs with a high resolution and sensitivity. The spatial resolution of the ACMIR ranges from 40.7m to 612m, corresponding to the flight height of 500m to 8000m, while the sensitivity varies from 0.25K to 0.36K, associating with the boresight to the edge of the field of view. In order to evaluate the performance of the ACMIR, an ocean aviation experiment was conducted in the coastal area of the Yellow Sea in September 2020. The land observation results indicate that typical ground objects can be clearly distinguished. Furthermore, thesea surface brightness temperatures acquired by the ACMIR are compared with the estimates based on the radiative transfer model, with SST retrieval error of 0.77°C. The ACMIR can offer a high-resolution and accuracy of SST especially in coastal areas, and can meet several application requirements related to SSTs.
Research Area(s)
- Airborne, microwave interferometric radiometer, ocean aviation experiment, one-dimensional (1-D), sea surface temperature (SST)
Citation Format(s)
An Airborne C-band One-Dimensional Microwave Interferometric Radiometer with Ocean Aviation Experimental Results. / Li, Yinan; Liu, Shubo; Yang, Xiaojiao et al.
In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 5305316, 2022.
In: IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, 5305316, 2022.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review