Structure and Dynamics of Boreal Ecosystems: Another Approach to Landsat Imagery Classification

Litinsky, Pyotr

doi:10.24057/2071-9388-2017-10-3-20-30

Cited by 2 publications

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“…The investigation was based on the analysis of cartographic works and remote sensing data which can be used to determine the vegetation structure (Litinsky 2017). As the initial map data, at the first stage a digital map of Russia's vegetation cover, based on the processing of MODIS images with a spatial resolution of 230 m (Bartalev et al 2011) was used.…”

Section: Methodsmentioning

confidence: 99%

Regional Features of the Altitudinal Gradients in Northern Transbaikalia Vegetation Cover

Бочарников

Ogureeva

Jargalsaikhan

2019

Geogr. environ. sustain.

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According to the the biome concept, the idea of the orobiome and its significance in the evaluation of the biodiversity for mountain territories are disclosed. Altitudinal gradients of vegetation with certain altitudinal limits of development are the basis for analysing the floristic and coenotic diversity of the orobiome and the ecological and geographical patterns of its spatial organization at the regional level. Based on the example from Kodar-Kalar orobiome, an altitudinal composition of the vegetation of the Northern Transbaikalia has been identified using thematic maps. The statistical evaluation of the altitudinal distribution of 4 vegetation belts (the upper tundra belt, the tundra belt, the sub-tundra belt and the mountain taiga belt) has been made. The regional features of the altitude position of the basic vegetation types forming the belts have been determined for the orobiome. They are reflected in three geographical variants. Orographic conditions and the history of the territory development have been discussed in the analysis of regional features of altitudinal spectra difference.KEY wORDS: orobiome, altitudinal structure of vegetation cover, vegetation belts, the Stanovoy highland.

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Section: Methodsmentioning

confidence: 99%

Regional Features of the Altitudinal Gradients in Northern Transbaikalia Vegetation Cover

Бочарников

Ogureeva

Jargalsaikhan

2019

Geogr. environ. sustain.

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“…Способ трансформации был найден эмпирическим путем [Литинский, 2011a]. оказалось, что при такой трансформации спектральное пространство более «компактно» и проще организовано, чем в классической Tasseled Cаp (brightness-greenness-wetness) и поэтому более удобно для визуального и математического анализа [Litinsky, 2017, fig. 3].…”

Section: трансформация спектрального пространстваunclassified

Spatial-temporal model of terrestrial ecosystems in Lake Onego catchment

Литинский¹,

Litinsky²

2018

Proceedings of KarRC of RAS

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геоинформационная модель создается для комплексного анализа функционирования гетеротрофной экосистемы онежского озера и отражает структуру и динамику наземных экосистем водосбора с 1950-х годов. используется оригинальная методика моделирования спектрального пространства снимков Landsat Тм/ЕТм+. Спектральная модель представляет собой математически формализованный объект, описывающий количественные и качественные характеристики биогеоценозов водосбора. Будучи «развернутой» в географическом пространстве, она превращается в оптимальную структурную основу для интеграции результатов дискретных натурных наблюдений в единый пространственно-временной континуум. К л ю ч е в ы е с л о в а: онежское озеро; геоинформационное моделирование; наземные экосистемы; водосбор; органический углерод. P. Yu. Litinsky. SPATIAL-TEMPORAL MODEL OF TERRESTRIAL ECOSYSTEMS IN LAKE ONEGO CATCHMENT The geographical information model of the catchment area of Lake onega is created for an integrated analysis of the functioning of the lake's heterotrophic ecosystem and reflects the structure and dynamics of terrestrial ecosystems since the 1950s. The original technique for modeling the spectral space of Landsat Tm / ETm + images is used. The spectral model is a mathematically formalized object that describes the quantitative and qualitative characteristics of the biogeocoenoses of the catchment. Being deployed in geographical space, it turns into an optimal structural frame for integrating the results of discrete field observations into a single space-time continuum. K e y w o r d s: Lake onego; geoinformation modeling; terrestrial ecosystems; catchment; organic carbon.

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Structure and Dynamics of Boreal Ecosystems: Another Approach to Landsat Imagery Classification

Cited by 2 publications

References 0 publications

Regional Features of the Altitudinal Gradients in Northern Transbaikalia Vegetation Cover

Regional Features of the Altitudinal Gradients in Northern Transbaikalia Vegetation Cover

Spatial-temporal model of terrestrial ecosystems in Lake Onego catchment

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