Methodology for detecting seasonal changes in landscape formations
https://doi.org/10.26897/1997-6011-2025-1-129-133
Abstract
The aim of the study is to investigate the possibility of developing a new method and an appropriate technique for detecting seasonal changes in water-saturated and coastal landscape formations. To assess seasonal changes in natural areas, an integral multiplicative criterion is proposed as an alternative to the existing vector criterion used in the technology of processing spectral data “Tasseled Cap”. It is determined that the proposed method, in comparison with the known analogue, provides for the use of an additional extreme feature to confirm the identification of characteristic natural zones when monitoring the Earth’s surface.
About the Authors
H. G. AsadovAzerbaijan
Hikmet G. Asadov, DSc (Eng), professor,
Baku
E. J. Suleymanova
Azerbaijan
Erane J. Suleymanova, CSs (Eng),
Baku
N. H. Mustafazade
Azerbaijan
Naira H. Mustafazade, CSs (Eng),
Baku
References
1. Syphard A.D. and Garcia M.W. 2001. Human and beaver induced wetland changes in the Chickahominy River watershed from 1953 to 1994. Wetlands. 21:342-53. 2. Ehrenfeld J.G. 2000. Evaluating wetlands within an urban context. Ecological Engineering. 15:253-65. 3.WinterT.C., Rosenberry D.O., Buso D.C. and Merk D.A. 2001. Water source to four U.S. Wetlands: implications for wetland management. Wetlands. 21:462-73. 4. Coppin P., Jonckheere I., Nackaerts K., Muys B. and Lambin E. 2004. Digital change detection methods in ecosystem monitoring; a review. International Journal of Remote Sensing. 25:1565-96.
2. Hayes D.J. and Sader S.A. 2001. Comparison of change detection techniques for monitoring tropical forest clearing and vegetation regrowth in a time series. Photogrammetric Engineering and Remote Sensing. 67:1067-75. Yellowstone Ecosystem: 1975-1995. Ecological Applications. 13:687-703.
3. Dymond C.C., Mladenoff D.J. and Radeloff V.C. 2002. Phenological differences in Tasseled Cap indices improve deciduous forest classification. Remote Sensing of Environment. 80:460-72.
4. Houhoulis P.F. and Michener W.K. 2000. Detecting wetland change: a rule-based approach using NWI and SPOT-XS data. Photogrammetric Engineering and Remote Sensing. 66:205-11.
5. Civco D.L., Hurd J.D., Wilson E.H., Song M. and Zhang Z. 2002. A comparison of land use and land cover change detection methods. American Congress on Surveying & Mapping – American Society for Photogrammetry and Remote Sensing. 2002. Annual Conference Proceedings.
6. Parmenter A.W., Hansen A., Kennedy R., Cohen W., Langner U., Lawrence R., Maxwell B., Gallant A. and Aspinall R. 2003. Land use and land cover change in the Greater Yellowstone Ecosystem: 1975-1995. Ecological Applications. 13:687-703.
7. Baker C., Lawrence R.L., Montagne C., Patten D. 2007. Change detection of wetland ecosystems using landsat imagery and change vector analysis // Wetlands. Vol. 27, № 3. Pp. 610-619.
8. Li D. and Tang P. A sensor specified method based on spectral transformation for masking cloud in landsat data // IEEE J Sel. Top. Appl. Earth Obs. Remote Sens. 2013. № 6. Рp. 1619-1627.
9. Li B., Li C., Ti X. Yan. Study of derivation of tasseled cap transformation for Landsat 8 OLI images Sci. Surv. Mapp. 2016. № 41. Рp. 102-107.
10. Zhang J., Liu M., Liu X., Luo W., Wu L., Zhu L. Spectral analysis of seasonal rock and vegetation changes for detecting karst rocky desertification in southwest China // International journal of applied observations and geoinformation. 2021. 100.
Review
For citations:
Asadov H.G., Suleymanova E.J., Mustafazade N.H. Methodology for detecting seasonal changes in landscape formations. Prirodoobustrojstvo. 2025;(1):129-133. (In Russ.) https://doi.org/10.26897/1997-6011-2025-1-129-133