Abstract
This study examines the choice of satellite image compositing method for Landsat 8/9 (Collection 2 Level-2) imagery to calculate the Normalised Difference Vegetation Index (NDVI). This paper compares the methods used to create median and medoid composites for the Angren open pit coal mine. The 'synthetic' nature of the composites is quantified based on a spectral consistency metric. This involves assessing the equivalence of median and medoid values, and analysing the sensitivity of NDVI to the compositing method across varying surface types. A strongly right-skewed distribution of surface reflectance values was found, covering 82.8% of the pixels, mostly in areas of active vegetation. In conclusion, medoid compositing is recommended to improve spectral accuracy, data detail, spatial completeness, and temporal stability.
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Last Page
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References
- Wulder, M. A., Loveland, T. R., Roy, D. P., Crawford, C. J., Masek, J. G., Woodcock, C. E., Allen, R. G., Anderson, M. C., Belward, A. S., Cohen, W. B., Dwyer, J., Erb, A., Gao, F., Griffiths, P., Helder, D., Hermosilla, T., Hipple, J. D., Hostert, P., Hughes, M. J., … Zhu, Z. (2019). Current status of Landsat program, science, and applications. Remote Sensing of Environment, 225, 127–147. https://doi.org/10.1016/j.rse.2019.02.015
- Griffiths, P., Van Der Linden, S., Kuemmerle, T., & Hostert, P. (2013). A pixel-based landsat compositing algorithm for large area land cover mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(5), 2088–2101. https://doi.org/10.1109/JSTARS.2012.2228167
- White, J. C., Wulder, M. A., Hobart, G. W., Luther, J. E., Hermosilla, T., Griffiths, P., Coops, N. C., Hall, R. J., Hostert, P., Dyk, A., & Guindon, L. (2014). Pixel-based image compositing for large-area dense time series applications and science. Canadian Journal of Remote Sensing, 40(3), 192–212. https://doi.org/10.1080/07038992.2014.945827
- Roy, D. P., Ju, J., Kline, K., Scaramuzza, P. L., Kovalskyy, V., Hansen, M., Loveland, T. R., Vermote, E., & Zhang, C. (2009). Web-enabled landsat data (Weld): Landsat etm+ composited mosaics of the conterminous united states. Remote Sensing of Environment, 114(1), 35–49. https://doi.org/10.1016/j.rse.2009.08.011
- Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., Kommareddy, A., Egorov, A., Chini, L., Justice, C. O., & Townshend, J. R. G. (2013). High-resolution global maps of 21st-century forest cover change. Science, 342(6160), 850–853. https://doi.org/10.1126/science.1244693
- Flood, N. (2013). Seasonal composite landsat tm/etm+ images using the medoid(A multi-dimensional median). Remote Sensing, 5(12), 6481–6500. https://doi.org/10.3390/rs5126481
- Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. (1974). Monitoring vegetation systems in the Great Plains with ERTS. NASA. Goddard Space Flight Center 3d ERTS-1 Symp., Vol. 1, Sect. A. https://ntrs.nasa.gov/citations/19740022614
- Pettorelli, N., Vik, J. O., Mysterud, A., Gaillard, J.-M., Tucker, C. J., & Stenseth, N. Chr. (2005). Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology & Evolution, 20(9), 503–510. https://doi.org/10.1016/j.tree.2005.05.011
- Huang, S., Tang, L., Hupy, J. P., Wang, Y., & Shao, G. (2021). A commentary review on the use of normalized difference vegetation index (Ndvi) in the era of popular remote sensing. Journal of Forestry Research, 32(1), 1–6. https://doi.org/10.1007/s11676-020-01155-1
- Leleko, A. I. (1998). Coal Industry of Uzbekistan: Stages of Development (in Russian). Mining Bulletin of Uzbekistan, 1, 3–6.
- United Nations Environment Programme. (2025). Atlas of environmental change—Republic of uzbekistan (in Russian). https://doi.org/10.59117/20.500.11822/48932
- Lepeko, A. I., & Krasnikov, S. A. (1998). The Atchinsky Landslide: A Unique Experience in Mitigating a Hazardous Phenomenon (in Russian). Mining Bulletin of Uzbekistan, 1, 18–21.
- Fazilova, D., Makhmudov, M., & Khalimov, B. (2025). The analysis of crustal deformation patterns in the Tashkent region, Uzbekistan, derived from GNSS data over the period 2018–2023. Geodesy and Geodynamics, 16(2), 137–146. https://doi.org/10.1016/j.geog.2024.07.001
- Fazilova, D., Makhmudov, M., & Magdiev, K. H. (2023). Analysis of Crustal Movements in the Angren-Almalyk Mining Industrial Area Using GNSS Data. International Journal of Geoinformatics, 19(11), 12–19. https://doi.org/10.52939/ijg.v19i11.2915
- Sichugova, L., & Fazilova, D. (2024). Study of the seismic activity of the Almalyk-Angren industrial zone based on lineament analysis. International Journal of Engineering and Geosciences, 9 (1), 1-11 https://doi.org/10.26833/ijeg.1192118
- Gorelick, N., Hancher, M., Dixon, M., Ilyushchenko, S., Thau, D., & Moore, R. (2017). Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 202, 18–27. https://doi.org/10.1016/j.rse.2017.06.031
- USGS. (2021). Landsat 8-9 Collection 2 (C2) Level 2 Science Product (L2SP) Guide (Version 4.0). https://www.usgs.gov/landsat-missions/landsat-collection-2-level-2-science-products
Recommended Citation
Khadzhaev, Ruslan Nailevich and FAZILOVA, DILBARKHON Shamuradovna
(2026)
"IMPACT OF COMPOSITING METHOD CHOICE ON SPECTRAL FIDELITY IN SEMI-ARID MINING LANDSCAPES,"
Technical science and innovation: Vol. 2026:
Iss.
1, Article 4.
DOI: https://doi.org/10.59048/2181-1180.1809
Available at:
https://btstu.researchcommons.org/journal/vol2026/iss1/4
Final paper incorporating all requested edits.