Abstract
The Normalized Difference Vegetation Index (NDVI) was used for the analysis of ecological characteristics of the Northwest Black Sea region, which includes significant coastal territories and sea water areas between the Crimean and northwest coast of the Black Sea. The data used in this study were 1997–2008 monthly NDVI from NOAA’s GVI2 dataset and visible channels from 1998 to 2008 from MODIS (Aqua and Terra) and SeaWiF scanners. It is shown, that the NDVI can be used as the characteristic of the integrated “land–sea” ecosystem, including internal links in this system. There is a direct-proportional relationship between NDVI in the land coastal zone and near-coastal water optical–biological characteristics. Although the NDVI values for water are small compared to the atmospheric signals (aerosol and molecular scattering) the resulting estimations have shown, that the possible relative error of the NDVI measurement for the northwest area of the Black Sea is within 12–25%.
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References
Kirilenko NF, Kushnir VM, Lemeshko EM (2009) Influence of a river drain on ecological conditions in Northwestern area of the Black Sea according to contact measurements and remote sensing data. Geoinformatic 4 (in Russian)
Kogan F, Stark R, Gitelson A, Adar E, Jargalsaikhan L, Dugrajav C, Tsooj S (2004) Derivation of pasture biomass in Mongolia from AVHRR-based vegetation health indices. Int J Remote Sens 25(14):2889–2896
Kushnir VM, Stanichny SV (2007) Color index in the Northwestern Black Sea derived from scanner MODIS data. Res Earth Space 4:62–73 (in Russian)
Levin BR (1960) Theoretical basis of the statistical radio engineering. Second book. Soviet radio, Moscow, 503 p (in Russian)
Mankovsky VI, Vladimirov VL, Afonin EI, Mishonov AV, Solov’ev MV, Anninsky BE, Georgieva LV, Unev OA (1996) The long-term variability of the transparency of water in the Black Sea and the factors which have caused its strong reduction at the end of 80 beginning of 90-th years. Preprint /NAS of Ukraine. Marine Hydrophysical Inst., Sevastopol, 32 p
O’Reilly JE, Maritorena S, Mitchell BG, Siegel DA, Carder kL, Garver SA, Kahru M, McClain C (1998) Ocean color chlorophyll algorithms for SeaWiFS. J Geophys Res 103(C11):24937–24953
Rouse JW Jr, Haas RH, Schell JA, Deering DW (1973) Monitoring the vernal advancement and retrogradation (green wave effect) of natural vegetation. Progress Rep. RSC 1978-1, Remote Sensing Center, Texas A&M University, College Station, 93 p
Urdenko VA, Shimerman G (eds) (1987) Optical remote sensing of the sea and the influence of the atmosphere, vol 2, Part 2. Inst. for Space Research Academy of Sciences of GDR, Berlin, Moscow, Sevastopol, p 197, in Russian
Vinogradov ME, Sapozhnikov VV, Shychina EA (1992) Ecosystem of the Black Sea. Moscow, Science, 112 p (in Russian)
Vituk DM (1983) Weigh substance and its biogenic components. Naykova Dymka, Kiev, 210 p (in Russian)
Zaichev UP (1992) Ecological condition of the shelf zone of the Black Sea at coast of Ukraine (review). Hydrobiol J 28(4):3–19 (in Russian)
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Kushnir, V., Korotaev, G., Kogan, F., Powel, A.M. (2011). Consequences of Land and Marine Ecosystems Interaction for the Black Sea Coastal Zone. In: Kogan, F., Powell, A., Fedorov, O. (eds) Use of Satellite and In-Situ Data to Improve Sustainability. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9618-0_21
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DOI: https://doi.org/10.1007/978-90-481-9618-0_21
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