Agrarian Bulletin of the Urals

The journal has been published since 2000

ISSN 1997 - 4868 (Print); ISSN 2307-0005 (Online)

 

V. V. FOMIN, S. V. ZALESOV, A. G. MAGASUMOVA, METHODS OF TREE STANDS DENSITY ASSESSMENT OF AGRICULTURAL LAND REFORESTATION WITH THE USE OF SATELLITE IMAGES WITH HIGH SPATIAL RESOLUTION

АuthorsV. V. FOMIN, doctor of biological sciences, professor,

S. V. ZALESOV, doctor of agricultural sciences, professor,

A. G. MAGASUMOVA, candidate of agricultural sciences, associate professor,

Ural State Forest Engineering University (37 Sibirskiy tr. Str., 620100, Ekaterinburg)

Abstract: Level of GIS and web-mapping technologies development, combined with the availability of satellite images with high spatial resolution opens up opportunities to develop of Internet-aware information systems for the taxation of forests. A com- parative analysis of tree stand density assessment methods on the basis of high spatial resolution satellite images for agri- cultural lands, overgrown with woody vegetation, suitable for use for forest inventory web-services were described in this paper. GIS vector layers were created during the studies have established vector GIS layers. They contain information about the location of trees and forest parcels boundaries. On their basis in the geographic information system, using map algebra functions was calculated density of undergrowth in each parcel on the basis of a complete enumeration of undergrowth as well as two sampling methods: using an automated method based on a regular grid of circular plots and angular distance method. Three map of trees density in study area were created using these methods. The analysis of the strengths and weaknesses of each method was implemented. Recommendations were developed to reduce the identified weaknesses. It was developed two modifications of the angular method that allows us to improve the accuracy of density assessment while maintaining strong side of this method — a relatively low complexity of its use. Simple algorithms for calculating the density of trees in con- junction with the availability of satellite images with high spatial resolution near settlements, allows us to consider them as a necessary element for the creation of Internet-aware information systems in the field of forest inventory, forest management, forestry, as well as to assess the overgrowing of agricultural land with woody vegetation.

Keywords: young trees, agricultural landuse, reforrestation, methods of tree stands density assessment, satellite image, high spatial resolution, map, forestry, forest taxation, forest inventory.

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