| Инд. авторы: | Lashinskiy N.N., Zolnikov I.D., Glushkova N.V. |
| Заглавие: | Estimation of vegetation structure and its anthropogenic transformation by processing QuickBird images: A case study of the Novosibirsk Akademgorodok |
| Библ. ссылка: | Lashinskiy N.N., Zolnikov I.D., Glushkova N.V. Estimation of vegetation structure and its anthropogenic transformation by processing QuickBird images: A case study of the Novosibirsk Akademgorodok // Izvestiya. Atmospheric and Oceanic Physics. - 2013. - Vol.49. - Iss. 9. - P.1029-1035. - ISSN 0001-4338. - EISSN 1555-628X. |
| Внешние системы: | DOI: 10.1134/S0001433813090090; SCOPUS: 2-s2.0-84893286601; WoS: 000330973100017; |
| Реферат: | eng: A new method for forest mapping utilizing high-resolution satellite images has been developed by a case study of the Novosibirsk Akademgorodok. Guided classifications of summer and fall QuickBird images, overlay operations, and grid density analysis form the background for this method. This method was used to construct maps of forest density and quantitative ratios of softwood to hardwood tree species. A comparison with the traditional geobotanical mapping has demonstrated several advantages of the remote sensing approach (including the precise definition of boundaries as well as high accuracy of estimation of the canopy density and the ratio of soft- to hardwood tree species) and shortcomings. The proposed method is not intended to replace but rather supplement and quantitatively improve the traditional approach. Matching the integral forest map and the corresponding geological-geomorphological map makes it possible to reveal the correlations between specific geomorphological features of the area, the composition of surface deposits, and the forest stand structure and thus estimate the degree of anthropogenic transformation in the natural forest ecosystems. In turn, this may be useful when organizing ecosystem monitoring. © 2013 Pleiades Publishing, Ltd.
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| Ключевые слова: | anthropogenic source; estimation method; forest ecosystem; GIS; image classification; precision; QuickBird; remote sensing; satellite imagery; vegetation cover; vegetation structure; Russian Federation; Novosibirsk; Akademgorodok; mapping of forest stands; high resolution remote sensing images; remote sensing; GIS technology; |
| Издано: | 2013 |
| Физ. характеристика: | с.1029-1035 |