{"id":2341,"date":"2019-08-19T22:06:25","date_gmt":"2019-08-19T19:06:25","guid":{"rendered":"https:\/\/jfsi.ru\/?p=2341"},"modified":"2020-07-19T22:37:41","modified_gmt":"2020-07-19T19:37:41","slug":"2-3-2019-nikitina_et_all","status":"publish","type":"post","link":"https:\/\/jfsi.ru\/en\/2-3-2019-nikitina_et_all\/","title":{"rendered":"Vegetation cover dynamics mapping of the Curonian Spit National Park usingsatellite imagery Alos\u00a0and\u00a0Sentinel-2"},"content":{"rendered":"

full text<\/span><\/em><\/a><\/p>\n

A.D. Nikitina*, S.V<\/span>. <\/span>Knyazeva<\/span>, E.A.<\/span>\u00a0Gavrilyuk<\/span>,
\n<\/span>E.V. Tikhonova, S.P. <\/span>Eydlina<\/span>, <\/span>N.V. Koroleva<\/span><\/span><\/strong><\/p>\n

Center for Forest Ecology and Productivity of the RAS<\/i><\/span><\/p>\n

Profsoyuznaya st. 84\/32 bldg. 14, Moscow, 117997, Russia<\/span><\/em><\/span><\/p>\n

<\/a> *E-mail:\u00a0nikitina.al.dm@gmail.com<\/span><\/span><\/p>\n

Received 24 June 2019<\/span><\/p>\n

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 \u201cRandom Forest\u201d and \u201cMaximum Likelihood Method\u201d (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.<\/span><\/p>\n

Key words:<\/b><\/span> vegetation cover, forest types, high spatial resolution satellite data, classification of satellite images, automated interpretation, recognition accuracy, indicators of environmental monitoring, dynamics maps.<\/i><\/span><\/span><\/p>\n

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full text A.D. Nikitina*, S.V. Knyazeva, E.A.\u00a0Gavrilyuk, 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:\u00a0nikitina.al.dm@gmail.com Received 24 June...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[13],"tags":[],"_links":{"self":[{"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/posts\/2341"}],"collection":[{"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/comments?post=2341"}],"version-history":[{"count":14,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/posts\/2341\/revisions"}],"predecessor-version":[{"id":3370,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/posts\/2341\/revisions\/3370"}],"wp:attachment":[{"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/media?parent=2341"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/categories?post=2341"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/tags?post=2341"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}