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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 1, pp. 147-156

Interpretation of vegetation of the northwest Ladoga region from high-resolution satellite imagery with the use of ordination on a complex of morphological and physiological features

A.N. Afonin 1 , Yu.V. Sokolova 1 , N.N. Bardakov 1 , I.O. Saharov 1 
1 Saint Petersburg State University, Saint Petersburg, Russia
Accepted: 20.11.2017
DOI: 10.21046/2070-7401-2018-15-1-147-156
Interpretation of vegetation was implemented with the use of high resolution imagery from satellites QuickBird-2 (2.4 and 0.6 m), GeoEye-1 (2 and 0.5 m) and WorldView-2 (2 and 0.5 m). The following morphological and physiological characteristics of objects were used as indicators for interpretation: morphometric features of cover projection of vegetation (tree crown) on snow, estimated by reflection of vegetation in the early spring image, and integral index of photosynthetic activity of vegetation, estimated by NDVI from summer image. Conceptual and methodological aspects of direct expert interpretation of vegetation by methods of classification with the use of raster algebra are considered. Validation of interpretation results by field observations showed 70−100 % precision of mapping different types of vegetation (6 classes for level of formations and groups of formation). Accounting more morphological and physiological characteristics allows to increase the accuracy of interpretation. However, some problems of using high resolution images of (<1 m) should be noted. For example, the problem of inaccurate geometric correction of high resolution images, provided for the research, and different camera angles during acquisition of images. These factors do not allow to conduct precise comparison of multitemporal images and to use the abilities of change detection by texture features of vegetation cover on the pixel level. This raises generalization as the necessary step in interpretation of high resolution images by classification methods of raster algebra.
Keywords: interpretation, vegetation, remote sensing data, high resolution imagery, methods, interpretation indicators, morphological and physiological indicators, classification, GIS, raster algebra, generalization
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