An Improved Method for Retrieving Aerosol Optical Depth Using Gaofen-1 WFV Camera Data
The four wide-field-of-view (WFV) cameras aboard the GaoFen-1 (GF-1) satellite launched by China in April 2013 have been applied to the studies of the atmospheric environment. To highlight the advantages of GF-1 data in the atmospheric environment monitoring, an improved deep blue (DB) algorithm usi...
Päätekijät: | Fukun Yang, Meng Fan, Jinhua Tao |
---|---|
Aineistotyyppi: | Artikkeli |
Kieli: | English |
Julkaistu: |
MDPI AG
2021-01-01
|
Sarja: | Remote Sensing |
Aiheet: | |
Linkit: | https://www.mdpi.com/2072-4292/13/2/280 |
Samankaltaisia teoksia
-
Retrieval of High-Resolution Aerosol Optical Depth for Urban Air Pollution Monitoring
Tekijä: Rui Bai, et al.
Julkaistu: (2022-05-01) -
Analysis Ready Data of the Chinese GaoFen Satellite Data
Tekijä: Bo Zhong, et al.
Julkaistu: (2021-04-01) -
Extraction and Analysis of Blue Steel Roofs Information Based on CNN Using Gaofen-2 Imageries
Tekijä: Meiwei Sun, et al.
Julkaistu: (2020-08-01) -
Image Mosaicking Approach for a Double-Camera System in the GaoFen2 Optical Remote Sensing Satellite Based on the Big Virtual Camera
Tekijä: Yufeng Cheng, et al.
Julkaistu: (2017-06-01) -
An Effective Method for Detecting Clouds in GaoFen-4 Images of Coastal Zones
Tekijä: Zheng Wang, et al.
Julkaistu: (2020-09-01)