Identification of vegetation under natural gas leakage by spectral index based on feature selection
Author:
Affiliation:
1. College of Geosciences and Surveying Engineering, China University of Mining and Technology, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2085068
Reference58 articles.
1. Potential impact of CO2 leakage from carbon capture and storage (CCS) systems on growth and yield in spring field bean
2. Investigating the capability of WorldView-3 superspectral data for direct hydrocarbon detection
3. A reappraisal of the use of DMSO for the extraction and determination of chlorophylls a and b in lichens and higher plants
4. 2021–2025 is a period of great development of China's natural gas industry: Suggestions on the exploration and development of natural gas during the 14th five-year plan in China
5. Davis, S. M., D. A. Landgrebe, T. L. Phillips, P. H. Swain, R. M. Hoffer, J. C. Lindenlaub, and L. F. Silva. 1978. “Remote Sensing: The Quantitative Approach.” New York.
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