Research output: Contribution to journal › Article › peer-review
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. / Afonin, A. N.; Sokolova, Yu V.; Bardakov, N. N.; Saharov, I. O.
In: Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa, Vol. 15, No. 1, 01.01.2018, p. 147-156.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - 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
AU - Afonin, A. N.
AU - Sokolova, Yu V.
AU - Bardakov, N. N.
AU - Saharov, I. O.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
KW - Classification
KW - Generalization
KW - GIS
KW - High resolution imagery
KW - Interpretation
KW - Interpretation indicators
KW - Methods
KW - Morphological
KW - Physiological indicators
KW - Raster algebra
KW - Remote sensing data
KW - Vegetation
UR - http://www.scopus.com/inward/record.url?scp=85045840399&partnerID=8YFLogxK
U2 - 10.21046/2070-7401-2018-15-1-147-156
DO - 10.21046/2070-7401-2018-15-1-147-156
M3 - Article
AN - SCOPUS:85045840399
VL - 15
SP - 147
EP - 156
JO - СОВРЕМЕННЫЕ ПРОБЛЕМЫ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ ИЗ КОСМОСА
JF - СОВРЕМЕННЫЕ ПРОБЛЕМЫ ДИСТАНЦИОННОГО ЗОНДИРОВАНИЯ ЗЕМЛИ ИЗ КОСМОСА
SN - 2070-7401
IS - 1
ER -
ID: 35961006