Band selection in sentinel-2 satellite for agriculture applications

ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing

Volumn , Issue , 2017, Pages

  Zhang, Tianxiang ^a   Su, Jinya ^a   Liu, Cunjia ^a   Chen, Wen Hua ^a   Liu, Hui ^b   Liu, Guohai ^b  

^a LOUGHBOROUGH UNIVERSITY   (United Kingdom)

^b JIANGSU UNIVERSITY   (China)

Author keywords

Agriculture; Machine learning; Remote sensing; Sentinel 2A; Supervised classification

Indexed keywords

AGRICULTURE; AUTOMATION; LEARNING SYSTEMS; SUPERVISED LEARNING;

AGRICULTURE APPLICATIONS; BAND SELECTION; CLASSIFICATION PERFORMANCE; HIGH SPATIAL RESOLUTION; ON-BOARD SENSORS; SATELLITE REMOTE SENSING; SENTINEL-2A; SUPERVISED CLASSIFICATION;

REMOTE SENSING;

EID: 85039980246     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/IConAC.2017.8081990     Document Type: Conference Paper

References (21)

1. C. J. Tucker, "Remote sensing of leaf water content in the near infrared, " Remote Sens. Environ., vol. 10, no. 1, pp. 23-32, 1980.
2. J. Peñuelas, I. Filella, C. Biel, L. Serrano, and R. Savé, "The reflectance at the 950-970 nm region as an indicator of plant water status, " International Journal of Remote Sensing, vol. 14, no. 10, pp. 1887-1905, 1993.
3. M. J. Hill, "Vegetation index suites as indicators of vegetation state in grassland and savanna: An analysis with simulated SENTINEL 2 data for a North American transect, " Remote Sens. Environ., vol. 137, pp. 94-111, 2013.
4. W. Rouse, R. H. Haas, and D. W. Deering, " Monitoring vegetation systems in the Great Plains with ERTS", Texas A&M Univ, TX, United States, 1974, pp. 309-317.
5. Y. Gao et al., "Optical Sensing of Vegetation Water Content: A Synthesis Study, " IEEE J. Sel. Top. Appl. EARTH Obs. Remote Sens., vol. 8, no. 4, pp. 1-9, 2015.
6. B. C. Gao, "NDWI-A normalized difference water index for remote sensing of vegetation liquid water from space, " Remote Sens. Environ., vol 58, no. 3, pp. 257-266, 1996.
7. T. J. Jackson et al., "Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans, " Remote Sensing of Environment., vol. 92, no. 4, pp. 475-482, 2004.
8. D. Chen, J. Huang, and T. J. Jackson, "Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near-and short-wave infrared bands, " Remote Sens. Environ., vol. 98, no. 2, pp. 225-236, 2005.
9. D. A. Roberts, R. O. Green, and J. B. Adams, "Temporal and spatial patterns in vegetation and atmospheric properties from AVIRIS, " Remote Sens. Environ., vol. 62, no. 3, pp. 223-240, 1997.
10. M. Tugrul Yilmaz, E. Raymond Hunt Jr, and T. J. Jackson, "Remote sensing of vegetation water content from equivalent water thickness using satellite imagery, " Remote Sens. Environ., vol. 112, no. 5, pp. 2514-2522, 2008.
11. E. S. A. Communications, Sentinel-2 ESA's optical highresolution mission for GMES operational services. 2012.
12. M. Drusch et al., "Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services, " Remote Sens. Environ., vol. 120, pp. 25-36, 2012.
13. M. Pesaresi, C. Corbane, A. Julea, A. J. Florczyk, V. Syrris, and P. Soille, "Assessment of the added-value of sentinel-2 for detecting built-up areas, " Remote Sens., vol. 8, no. 4, pp. 299, 2016.
14. E. Mandanici and G. Bitelli, "Preliminary Comparison of Sentinel-2 and Landsat 8 Imagery for a Combined Use, " Remote Sens., vol. 8, no. 12, pp. 1014, 2016.
15. H. van der Werff and F. van der Meer, "Sentinel-2A MSI and Landsat 8 OLI provide data continuity for geological remote sensing, " Remote Sens., vol. 8, no. 11, pp. 883 2016.
16. R. Richter, "Atmospheric / Topographic Correction for Satellite Imagery (ATCOR-2/3 User Guide), " ATCOR-2/3 User Guid. Version 6. 3, pp. 1-71, 2007.
17. C. Emde et al., "The libRadtran software package for radiative transfer calculations (version 2. 0. 1), " Geosci. Model Dev., vol. 9, no. 5, pp. 1647-1672, 2016.
18. B. Pflug, J. Bieniarz, V. Debaecker, J. Louis, and U. Müller-Wilm, "Some Experience Using SEN2COR. "
19. S. J. Russell, P. Norvig, J. F. Canny, J. M. Malik, D. D. Edwards, and S. J. S. Jonathan, "A modern approach. " Artificial Intelligence. Prentice-Hall, Egnlewood Cliffs 25 (1995): 27.
20. Y. Yi, D. Yang, D. Chen, and J. Huang, "Retrieving crop physiological parameters and assessing water deficiency using MODIS data during the winter wheat growing period, " Can. J. Remote Sens., vol. 33, no. 3, pp. 189-202, 2007.
21. C. Slave, "Analysis of Agricultural Areas Using Satellite Images, " Int. J. Acad. Res. Environ. Geogr., vol. 1, no. 2, pp. 26-32, 2014.