рус eng
«IZVESTIYA IRKUTSKOGO GOSUDARSTVENNOGO UNIVERSITETA». SERIYA «NAUKI O ZEMLE»
«THE BULLETIN OF IRKUTSK STATE UNIVERSITY». SERIES «EARTH SCIENCES»
ISSN 2073-3402 (Print)

List of issues > Series «Earth Sciences». 2017. Vol. 21

Technique of Disturbance of the Vegetation of South of Pribaikalye Using Space Images and Landscape Map

Author(s)
E. A. Istomina
Abstract
In monitoring and assessing the state of the vegetation and the landscape in general often not taken into consideration the information on their root (potential, undisturbed) state. Designed and illustrated a method of rapid assessment of vegetation cover disturbance using satellite images and landscape maps, where landscape map display potential state of the vegetation. There are the following geosystems states: areas without vegetation or with sparse vegetation (goltsy, fresh fairs, pastures and hayfields), herbal and grass-shrub communities, deciduous woods, light coniferous forests, dark coniferous forests. For each type (group facies) of landscape map of the south of Eastern Siberia (1: 1 500 000) possible stage of regenerative successions and root state were identified, as a result a map of the indigenous (potential, recovered) landscapes was made. ISODATA classification of satellite image Landsat MrSID with the release of the same five classes was made and a map of the current state of landscapes was created. Calculation of the difference in these two geoimages allows to determine the degree of disturbance of vegetation and to make a map of disturbance. From the map it can be concluded that as in 2000 the prevailing part of the territory is relatively undisturbed. Areas with varying degrees of disturbance are confined mostly to the coast of the lake Baikal and the flat basins sites.
Keywords
space image processing, ecological monitoring, remote sensing monitoring, invariant, landscape map
UDC
910.1528.77
References

1. Vladimirov I.N., Konovalova T.I., Bessolicina E.P. Landshaftno-interpretacionnoe kartografirovanie [Landscape-interpretative mapping]. Novosibirsk, 2005. 424 p.

2. Landshafty juga Vostochnoj Sibiri [The landscapes of the south of Eastern Siberia]. Мoscow, 1977. 4 p.

3. Lesnykh S.I., Cherkashin A.K. Model analysis of the interaction of different groups of species in the successional changes of the mountain taiga. Izvestiya Irkutskogo gosudarstvennogo universiteta. Seriya “Biologiya” [The Bulletin of Irkutsk State University. Series “Biology”], 2016, vol. 15, pp. 11-24 (in Russian).

4. Semenov Yu.M. The role of landscape-assessment maps in the regional analysis of environmental risks. Problemy analiza riska [Risk Analysis Problems], 2016, vol. 13, no 3, pp. 60-67 (in Russian).

5. Frolov A.A. Geoinformation mapping of landscape variability (for example, the Southern Baikal region). Geografija i prirodnye resursy [Geography and natural resources], 2015, no 1, pp. 156-166 (in Russian).

6. Yamashkin A. A. Electronic landscape map as a basis for the geoecological analysis and landscape planning of a territory. Kul'turnyj landshaft Mordovii (geojekologicheskie problemy i landshaftnoe planirovanie) [Cultural Landscape of Mordovia (geoecological problems and landscape planning)]. Saransk, 2003, pp. 17-28 (in Russian).

7. Hansen M.C., Potapov P. V., Moore R., Hancher M., Turubanova S. A., Tyukavina A., Thau D., Stehman S.V., Goetz S. J., Loveland T. R., Kommareddy A., Egorov A., Chini L., Justice C. O., Townshend J.R.G. High-resolution global maps of 21-st-century forest cover change. Science, 2013, vol. 342, pp. 850-853.

8. Hopkinson C., Barr A. G., Kljun N., Black T. A., McCaughey J. H. Monitoring boreal forest biomass and carbon storage change by integrating airborne laser scanning, biometry and eddy covariance data. Remote Sensing of Environment, 2016, vol. 181, pp. 82-95.

9. Norman S.P., Koch F. H., Hargrove W. W. Review of broad-scale drought monitoring of forests: Toward an integrated data mining approach. Forest Ecology and Management, 2016, vol. 380, pp. 346-358.

10. Romijn E., Lantican C. B., Herold M., Lindquist E., Ochieng R., Wijaya A., Murdiyarso D., Verchot L. Assessing change in national forest monitoring capacities of 99 tropical countries. Forest Ecology and Management, 2015, vol. 352, pp. 109-123.


Full text (russian)