VOJA-Net: Vector- Offset Joint Attention Network for ICESat-2 Point Cloud Data Denoising DOI
Zhen Liu,

Yilong Zi,

Xin Ma

et al.

IEEE Geoscience and Remote Sensing Letters, Journal Year: 2024, Volume and Issue: 21, P. 1 - 5

Published: Jan. 1, 2024

Language: Английский

Evaluation of ICESat-2 ATL09 Atmospheric Products Using CALIOP and MODIS Space-Based Observations DOI Creative Commons
Kenneth Christian, Stephen P. Palm, John E. Yorks

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 482 - 482

Published: Jan. 30, 2025

Since its launch in 2018, the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) mission has provided atmospheric products, including calibrated backscatter profiles cloud aerosol layer detection. While not primary focus of mission, these products garnered more interest after end Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) data collection 2023. In comparing detection frequencies from CALIOP ICESat-2, we find general agreement global patterns. The were similar June, July, August 2019 (64.7% for ICESat-2 59.8% CALIOP), as location altitude tropical maximum; however, low daytime signal-to-noise ratios (SNRs) reduced ICESat-2’s compared to those CALIOP. likewise lower. generally retrieved a higher average optical depth Moderate Resolution Imaging Spectroradiometer (MODIS) over ocean, but two closer regions concentrations such Eastern Atlantic Ocean Northern Indian Ocean. orbital coincidences reveal highly correlated well top altitudes. Future work machine learning denoising techniques may allow improved feature detection, especially during daytime.

Language: Английский

Citations

0

VOJA-Net: Vector- Offset Joint Attention Network for ICESat-2 Point Cloud Data Denoising DOI
Zhen Liu,

Yilong Zi,

Xin Ma

et al.

IEEE Geoscience and Remote Sensing Letters, Journal Year: 2024, Volume and Issue: 21, P. 1 - 5

Published: Jan. 1, 2024

Language: Английский

Citations

1