Geoinformation modeling of forest vegetation of the North-West Baikal (algorithms experience of geoimages classification

Aerophototopography (Aerial Surveying And Photogrammetry)

UDC:

528.7+911.52+912.43+910.1

1 Vladimirov I.N.

Year:

2012

№:

867

Pages:

30-35

Sochava Institute of Geography SB RAS

1,

Abstract:

The paper considers the use of different algorithms of geoimages classification when applying geoinformation modeling of the current state of forest vegetation in the Northern Pribaikalie. We suggest a technique, involving the shared use of the NDVI and NDWI indices, and DEM based on the SRTM data.

Keywords:

geoinformation technology, remote sensing, geoimages classification, modeling of forest vegetation

Citation:

Vladimirov I.N.,

(2012) Geoinformation modeling of forest vegetation of the North-West Baikal (algorithms experience of geoimages classification. Geodesy and cartography = Geodezia i Kartografia, (9), pp. 30-35. (In Russian).

Refbacks:

Vladimirov I.N., Kobylkin D.V., Kholboeva S.A. (2016) Geoinformation analysis and modeling of regenerative successions on fallow lands in the Transbaikalia. Geodesy and Cartography = Geodezia i kartografia, (1), pp. 21–27. (In Russian). DOI: 10.22389/0016-7126-2016-907-1-21-27.

Vasilchenko A.A., Vypritsky A.A. (2023) Mapping forest plantations of the Volgograd region according to remote sensing data using the BSFI and NDWI indices. Geodesy and Cartography = Geodezia i kartografia, 84 (10), pp. 39-49. (In Russian). DOI: 10.22389/0016-7126-2023-1000-10-39-49.

Publication History

Published: 20.10.2012