Using vegetation spectral indices to detect oil pollution in the Niger Delta
Author:
Affiliation:
1. Department of Geography, Centre for Landscape and Climate Research, University of Leicester, Leicester, UK
Funder
Petroleum Technology Development Fund (PTDF) Nigeria
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2015.1015656
Reference47 articles.
1. Investigating vegetation spectral reflectance for detecting hydrocarbon pipeline leaks from multispectral data
2. Adamu, B., K. Tansey, and B. Ogutu. 2014. Detection of Oil Pollution along the Pipeline Routes in Tropical Ecosystem from Multi-Spectral Data. Translated by J. J. Braun, 9. Baltimore, MD: SPIE.
3. Measuring the Color of Growing Turf with a Reflectance Spectrophotometer 1
4. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
5. Mapping burns and natural reforestation using thematic Mapper data
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