<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>Classification and inventory of the current diversity of forest communities and their environments (i.e. site conditions) were developed based on Kolesnikov's topogenetic classification approach in Angara region (Central Siberia). This classification considers characteristics of forest regeneration dynamics, such as trends and rates of forest regeneration succession in a range of site conditions; therefore, it is used as a basis of a key for a forest regeneration dynamics map. An algorithm of forest regeneration dynamics mapping based on a spatial analysis of multi-band satellite data, a digital elevation model (DEM), and ground data combined with expert estimates of the resulting land cover classes was applied using geographic information system (GIS) "Forests of Central Siberia". Based on this algorithm, Landsat 7 ETM+ satellite imagery, SRTM-3- DEM, and field data were processed for the Angara test site. The resulting maps include two polygonal vector layers: one is forest regeneration stages (stand types) and the other is forest succession series (forest types) in a range of site conditions.</p></abstract>

Classification and inventory of the current diversity of forest communities and their environments (i.e. site conditions) were developed based on Kolesnikov's topogenetic classification approach in Angara region (Central Siberia). This classification considers characteristics of forest regeneration dynamics, such as trends and rates of forest regeneration succession in a range of site conditions; therefore, it is used as a basis of a key for a forest regeneration dynamics map. An algorithm of forest regeneration dynamics mapping based on a spatial analysis of multi-band satellite data, a digital elevation model (DEM), and ground data combined with expert estimates of the resulting land cover classes was applied using geographic information system (GIS) "Forests of Central Siberia". Based on this algorithm, Landsat 7 ETM+ satellite imagery, SRTM-3- DEM, and field data were processed for the Angara test site. The resulting maps include two polygonal vector layers: one is forest regeneration stages (stand types) and the other is forest succession series (forest types) in a range of site conditions.

A Gis-Based Mapping and Estimation the Current Forest Landscape State and Dynamics

Russian Academy of Sciences, GIS Laboratory, V.N. Sukachev Institute of Forest, Siberian Br., 50/28, Akademgorodok, Krasnoyarsk 660036, Russia

Journal of Landscape Ecology

Classification and inventory of the current diversity of forest communities and their environments (i.e. site conditions) were developed based on Kolesnikov's...

A Gis-Based Mapping and Estimation the Current Forest Landscape State and Dynamics

Publicado en línea: 08 ago 2012

Páginas: 42 - 54

DOI: https://doi.org/10.2478/v10285-012-0033-0

Palabras clave
Central Siberia, regeneration succession, site conditions, forest type, stand type, forest regeneration dynamics map, GIS, digital elevation model (DEM), remote sensing data

This content is open access.

A Gis-Based Mapping and Estimation the Current Forest Landscape State and Dynamics

Publicado en línea: 08 ago 2012

Páginas: 42 - 54

DOI: https://doi.org/10.2478/v10285-012-0033-0

Palabras claveCentral Siberia, regeneration succession, site conditions, forest type, stand type, forest regeneration dynamics map, GIS, digital elevation model (DEM), remote sensing data

This content is open access.

Palabras clave
Central Siberia, regeneration succession, site conditions, forest type, stand type, forest regeneration dynamics map, GIS, digital elevation model (DEM), remote sensing data