Vegetation cover dynamics mapping of the Curonian Spit National Park usingsatellite imagery Alos and Sentinel-2

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A.D. Nikitina*, S.V. Knyazeva, E.A. Gavrilyuk,
E.V. Tikhonova, S.P. Eydlina, N.V. Koroleva

Center for Forest Ecology and Productivity of the RAS

Profsoyuznaya st. 84/32 bldg. 14, Moscow, 117997, Russia

*E-mail: nikitina.al.dm@gmail.com

Received 24 June 2019

This article presents the results of assessing the quantitative changes in the area characteristics of the vegetation cover of the Curonian Spit National Park using materials from different-time multispectral imaging from satellite devices Alos and Sentinel-2 of high spatial resolution. Algorithms of automated classification “Random Forest” and “Maximum Likelihood Method” (Maximum Likelihood Estimation) were tested. Based on the obtained data of automated decoding of satellite images, indicators ecosystems monitoring of the national park were calculated, maps of the dynamics of these indicators and a map of different-time state of vegetation were compiled. The results show the direction of changes in the vegetation of the Curonian Spit over the ten-year period from 2007 to 2017: an increase in the proportion of forests and the proportion of sands fixed by vegetation near the Curonian Lagoon as a result of forest protection measures, a decrease in the proportion of forests and an increase in the proportion of waving sands near the sea coast as a result of the destruction of foredune under the influence of wind, wave and recreational loads.

Key words: vegetation cover, forest types, high spatial resolution satellite data, classification of satellite images, automated interpretation, recognition accuracy, indicators of environmental monitoring, dynamics maps.

REFERENCES

Banskota A., Kayastha N., Falkowski M., Wulder M.A., Froese R.E., White J.C., Forest monitoring using Landsat time-series data: A review, Canadian Journal of Remote Sensing, 2014, Тom 40, No. 5. pp. 362-384.

Boisvenue C., Smiley B.P., White J.C., Kurz W.A., Wulder M.A., Integration of Landsat time series and field plots for forest productivity estimates in decision support models, Forest Ecology and Management, 2016, Тom 376, pp. 284-297.

Breiman L., Random forests, Machine learning, 2001, Тom 45. No. 1. pp. 5-32.

Chebakova I.V., Nacional’nye parki Rossii, Moscow: Izd-vo Centra ohrany dikoj prirody, 1996, p. 198.

Chen Y., Dengsheng L., Geping L., Jingfeng H., Detection of vegetation abundance change in the alpine tree line using multitemporal Landsat Thematic Mapper imagery, International Journal of Remote Sensing, 2015, Тom 36, No.18, pp. 4683-4701.

Cohen J., A coefficient of agreement for nominal scales, Educational and Psychological Measurement, 1960, Vol. 20, No.1, pp. 37-46.

Gavier-Pizarro G.I., Kuemmerle T., Hoyos L.E., Stewart S.I., Huebner C.D., Keuler N.S., Radeloff V.C., Monitoring the invasion of an exotic tree (Ligustrum lucidum) from 1983 to 2006 with Landsat TM/ETM+ satellite data and Support Vector Machines in Córdoba, Argentina, Remote Sensing of Environment, 2012, Vol. 122, pp. 134-145.

Gavrilyuk E.A., Ershov D.V., Metodika sovmestnoj obrabotki raznosezonnyh izobrazhenij Landsat-TM i sozdaniya na ih osnove karty nazemnyh ekosistem Moskovskoj oblasti (Methods of joint processing of Landsat-TM multi-season images and creating on their basis maps of terrestrial ecosystems of the Moscow Region), Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa, 2012, Tom. 9, No. 4, pp. 15-23.

Gould W., Remote sensing of vegetation, plant species richness, and regional biodiversity hotspots, Ecological applications, 2000, Vol. 10, No. 6, pp. 1861-1870.

Grankina A.A., Mishvelov E.G., Sostoyanie i dinamika lesnyh fitocenozov osobo ohranyaemyh prirodnyh territorij Kavkazskih mineral’nyh vod v usloviyah rekreacionnogo vozdejstviya (State and dynamics of forest phytocenoses of Caucasian mineral waters specially protected natural territories under the conditions of recreational impact), Nauka. Innovacii. Tekhnologii, 2014, No. 4, pp. 121-129.

Gubareva I.Yu. Botanicheskie ob”ekty (Botanical objects). Osobo cennye prirodnye i kul’turnye ob”ekty nacional’nogo parka «Kurshskaya kosa»: sb. nauch. st. sost. O.V. Ryl’kov, I.P.ZHukovskaya (Especially Valuable Natural and Cultural Objects of the Curonian Spit National Park: Coll. of Sc. Art.,Comp. O.V. Rylkov, I.P. ZHukovskaya), Kaliningrad, Izd-vo RGU im. I. Kanta, 2009, pp. 9-36.

Hansen M.C., Potapov P.V., Moore R., Hancher M., Turubanova S.A., Tyukavina A. et al., High-resolution global maps of 21st-century forest cover change, Science, No. 342 (6160), pp. 850-853.

Homolova L., Malenovsky Z., Clevers J.G., Garcia-Santos G., Schaepman M.E., Review of optical-based remote sensing for plant trait mapping, Ecological Complexity, 2013, Vol. 15, pp. 1-16.

http://www.park-kosa.ru (2019, 27 June).

https://apps.sentinel-hub.com/eo-browser (2019, 27 June).

Immitzer M., Vuolo F., Atzberger C. First experience with Sentinel-2 data for crop and trees species classifications in central Europe, RemoteSensing, 2016, Vol. 8, No. 3, p. 166

Knyazeva S.V., Kartografo-aehrokosmicheskij monitoring lesov nacional’nyh parkov: Dis.kand.geogr.nauk (Cartographic-aerospace monitoring of national parks forests: the dissertation of the geographical sciences candidate), Moscow, MSU, 2006.

Komarova A.F., Zhuravleva I.V., YAblokov V.M., Otkrytye mul’tispektral’nye dannye i osnovnye metody distancionnogo zondirovaniya v izuchenii rastitel’nogo pokrova (Open multispectral data and main methods of remote sensing in the study of vegetation), Principy ekologii, 2016, No. 1 (17), pp. 40-74.

Koroleva N.V., Tihonova E.V. Ershov D.V., Saltykov A.N., Gavrilyuk E.A., Pugachevskij A.V., Ocenka masshtabov zarastaniya nelesnyh zemel’ v nacional’nom parke “Smolenskoe poozer’e” za 25 let po sputnikovym dannym Landsat (Assessment of the extent of non-forest lands growing in the Smolensk Lakeland National Park for 25 years using satellite data Landsat), Lesovedenie, 2018, No. 2, pp. 83-96.

Kravcova V.I., Generalizaciya aehrokosmicheskogo izobrazheniya: kontinual’nye i diskretnye snimki (Aerospace Image Generalization: Continuous and Discrete Images), Moscow, Izd-vo Mosk. un-ta, 2000, 256 p.

Kurbanov E.A., Vorob’ev O.N., Nezamaev, S.A., Gubaev A.V., Lezhnin S.A., Polevshchikova Yu.A., Tematicheskoe kartirovanie i stratifikaciya lesov Marijskogo Zavolzh’ya po sputnikovym snimkam Landsat (Thematic mapping and stratification of Mari Trans-Volga forests using Landsat satellite imagery), Vestnik Povolzhskogo gosudarstvennogo tekhnologicheskogo universiteta. Seriya: Les. Ekologiya. Prirodopol’zovanie, 2013, No. 3 (19), pp. 82-92.

Labutina I.A., Baldina E.A., Ispol’zovanie dannyh distancionnogo zondirovaniya dlya monitoringa ekosistem OOPT (Use of remote sensing data for monitoring ecosystems of protected areas), Moscow: WWF Rossii, 2011, p. 88.

Malysheva N.V., Orlova O.L., Knyazeva S.V., Zolina T.A., Vukolova I.A., Monitoring lesnyh ehkosistem nacional’nyh parkov s ispol’zovaniem distancionnyh metodov i GIS-tekhnologij. Metodicheskie podhody i opyt rabot (Monitoring forest ecosystems of national parks using remote sensing methods and GIS technologies. Methodical approaches and work experience), Lesohozyajstvennaya informaciya, 2002, No. 12, pp. 19-24.

McRoberts R.E., Cohen W.B., Næsset E., Stehman S.V., Tomppo E.O. Using remotely sensed data to construct and assess forest attribute maps and related spatial products, Scandinavian Journal of Forest Research, 2010, Vol. 25, No. 4. pp. 340-367.

Nagendra H., Lucas R., Honrado J.P., Jongman R.H., Tarantino C., Adamo M., Mairota P. Remote sensing for conservation monitoring: Assessing protected areas, habitat extent, habitat condition, species diversity, and threats, Ecological Indicators, 2013, Vol. 33, pp. 45-59.

Rasskazov A.A., Galaganova L.A., Ispol’zovanie dannyh LANDSAT dlya ocenki dinamiki izmenenij rastitel’nogo pokrova na territorii Meshchery (Use of LANDSAT data to assess changes in vegetation cover in Meshchera), Nauchnye trudy Instituta nepreryvnogo professional’nogo obrazovaniya, 2014, No. 3, p. 236.

Ryazanov S.S., Sahabiev I.A., Galimov D.Z., Klassifikaciya zemnogo pokrova ostrovov Kujbyshevskogo vodohranilishcha s ispol’zovaniem dannyh distancionnogo zondirovaniya (Classification of the land cover of the islands of the Kuibyshev reservoir using remote sensing data), Rossijskij zhurnal prikladnoj ekologii, 2015, No. 3 (3), pp.50-55.

Shaplygina T.V., Volkova I.I., Geoehkologicheskie aspekty rekreacionnogo prirodopol’zovaniya v nacional’nom parke “Kurshskaya kosa” (Geoecological aspects of recreational environmental management in the Curonian Spit National Park). Sb. materialov vserossijskoj nauchno-prakticheskoj konferencii “Problemy prirodopol’zovaniya, sohraneniya bioraznoobraziya i kul’turnogo naslediya na osobo ohranyaemyh prirodnyh territoriyah Rossii” (Materials Collection of the Russian Scientific-Practical Conference “Problems of Nature Management, Biodiversity Conservation and Cultural Heritage in Specially Protected Natural Areas of Russia”), Kaliningrad, Izd-vo BFU im. Im. I. Kanta, 2017, pp. 128-134.

Suhih V.I., Zhirin V.M., Primenenie skanernyh kosmicheskih snimkov pri inventarizacii rezervnyh lesov (The use of scanner satellite images in the inventory of reserve forests), Distancionnye metody v lesoustrojstve i uchete lesov. Pribory i tekhnologii: Materialy Vserossijskogo soveshchaniya-seminara s mezhdunarodnym uchastiem (Remote Methods in Forest Management and Forest Accounting. Instruments and Technologies: Materials of the All-russian Meeting-Seminar with International Participation.), Krasnoyarsk: Institut lesa im. V.N. Sukacheva SO RAS, 2005, p. 92.

Turner W., Rondinini C., Pettorelli N., Mora B., Leidner A.K., Szantoi Z., Buchanan G., Dech S., Dwyer J., Herold M., Koh L.P., Leimgruber P., Taubenboeck H., Wegmann M., Wikelski M., Woodcock C., Free and open-access satellite data are key to biodiversity conservation, Biological Conservation, 2015, Vol. 182, pp. 173-176.

Tyutrin S.A., Kondratovec R.B., Distancionnyj monitoring nezakonnyh rubok v Dal’nevostochnom federal’nom okruge (Remote monitoring of illegal logging in the Far Eastern Federal District), Zemlya iz kosmosa: naibolee ehffektivnye resheniya. 2010, No. 4, pp. 73-76.

Xie Y., Sha Z., Yu M., Remote sensing imagery in vegetation mapping: a review, Journal of plant ecology, 2008, Vol. 1, No. 1. pp. 9-23.

Yaldygina N.B., Ispol’zovanie programmnogo kompleksa ENVI dlya resheniya zadach lesnogo hozyajstva (Using the ENVI software package for solving forestry problems), Geomatika, 2011, No. 3, pp. 34-39.