Research on Time Series Interpolation and Reconstruction of Multi-Source Remote Sensing AOD Product Data Using Machine Learning Methods
The satellite remote sensing of Aerosol Optical Depth (AOD) products is crucial in environmental monitoring and atmospheric pollution research. However, data gaps in AOD products from satellites like Fengyun significantly hinder continuous, seamless environmental monitoring capabilities, posing chal...
Saved in:
| Main Authors: | Huifang Wang, Min Wang, Pan Jiang, Fanshu Ma, Yanhu Gao, Xinchen Gu, Qingzu Luan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-05-01
|
| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/16/6/655 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Novel Aerosol Optical Depth Retrieval Method Based on SDAE from Himawari-8/AHI Next-Generation Geostationary Satellite in Hubei Province
by: Shiquan Deng, et al.
Published: (2025-04-01) -
KADI BURHANEDDİN DEVLETİNDE AHİLERİN FAALİYETLERİ
by: Mehmet Ali HACIGÖKMEN
Published: (2016-02-01) -
EFENDİKELİMESİNDEN HAREKETLE NASREDDİN HOCA’NIN KİMLİĞİ HAKKINDA GÖRÜŞLER
by: Rıdvan Öztürk
Published: (2007-08-01) -
Corn Yield Forecasting in Northeast China Using Remotely Sensed Spectral Indices and Crop Phenology Metrics
by: Meng WANG, et al.
Published: (2014-07-01) -
Clinical significance of the hemoglobin-to-red blood cell distribution width ratio in patients with severe OSAS
by: Ni Tan, et al.
Published: (2025-04-01)