Flare Parameters Estimation from VIIRS NtL Remote Sensing Data: Improving Classical Approach by Spectral Unmixing
Author:
Affiliation:
1. Agence Spatiale Algérienne, Centre des Techniques Spatiales,Arzew,Algérie
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9839665/9839673/09840275.pdf?arnumber=9840275
Reference12 articles.
1. The potential role of natural gas flaring in meeting greenhouse gas mitigation targets
2. Measuring Gas Flaring in Russia with Multispectral VIIRS Nightfire
3. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches
4. Visible Infrared Imaging Radiometer Suite (VIIRS) Sensor Data Record (SDR) User's Guide;cao;NOAA Technical Report NESDIS 142,2017
5. Vertex component analysis: a fast algorithm to unmix hyperspectral data
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An approach to detect gas flaring sites using sentinel-2 MSI and NOAA-20 VIIRS images;International Journal of Applied Earth Observation and Geoinformation;2023-11
2. Improving Classical Approach for Flare Parameters Estimation from VIIRS NtL Remote Sensing Data by Linear and Nonlinear Spectral Unmixing Methods;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17
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