Project Details
Description
With the advantage of wide coverage in regional or global scales, remote sensing imaging from satellites is widely applied to environmental monitoring, such as land cover analysis, weather analysis, air quality monitoring and crop phenology monitoring. For environmental monitoring, the polar-orbiting satellite observations equipped with high spatial resolution are usually employed. The major limitation of orbital observations could be the low revisit cycle which insufficient to examine the diurnal variation. On the other hand, geostationary satellites with high temporal resolution could be satisfied for time-critical applications. Himawari-8, the second generation Asian geostationary satellite launched in 2014, offering observations every 10-minutes, has been widely applied to investigations ofshort-term phenomena in dynamic procedures even with its low spatial resolution. In addition to a high temporal resolution, Himawari-8 has a new payload (Advanced Himawari Imager, AHI) with 16 optical bands for providing the detailed information on both terrestrial and atmospheric parameters. The similarity of the visible and thermal infrared bands between Landsat-8 OLI (Operational Land Imager), Sentinel, Formosat and Himawari-8 AHI sensors offers a high potential to fuse the high-spatial-resolution (30 m) with the ultra-high temporal resolution (10 minute windows) imagery for the monitoring of short-term events. With the improving image fusion technology (Spatial and Temporal Adaptive Reflectance Fusion Model-Aerosol Property, STARFM-AP), the dynamic monitoring of environment on high spatiotemporal observations can be implemented based on the high spatiotemporal fused imagery. The high spatiotemporal imagery will be provided on the data cube platform for publics The preliminary application inretrieving PM2.5 for air pollution monitoring in near-real time will be examined. The results could offer the reference for intensifying the performance of 3rd national project of space program.
| Status | Finished |
|---|---|
| Effective start/end date | 1/05/21 → 31/07/22 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 2 Zero Hunger
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SDG 6 Clean Water and Sanitation
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
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SDG 17 Partnerships for the Goals
Keywords
- Geostationary satellite Geostationary satellite(Himawari-8)
- Polar orbiting satellite (Landsat-8
- Sentinel
- Formosat)
- Image fusion
- High spatiotemporal imagery
- Data cube platform
- PM2.5 air pollution
- 3rd national project of space program
Fingerprint
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Research output
- 1 Article
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Sea Salt Aerosol Identification Based on Multispectral Optical Properties and Its Impact on Radiative Forcing over the Ocean
Atmoko, D. & Lin, T. H., 1 Jul 2022, In: Remote Sensing. 14, 13, 3188.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations