Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

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Найдено документов в текущей БД: 2

    Multi-Sensor Approach for Assessing the Taiga-Tundra Boundary
/ K. J. Ranson [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS). - 2003. - Vol. 2: 2003 IGARSS: Learning From Earth's Shapes and Colours (21 July 2003 through 25 July 2003, Toulouse) Conference code: 61846. - P969-971 . -
Аннотация: Monitoring the dynamics of the tundra-taiga boundary is critical for our understanding of the causes and consequences of the changes in this area. Because of its inaccessibility, remote sensing data will play an important role. In this study we examined the use of several remote sensing techniques for identifying the existing tundra- taiga ecotone. These include Landsat, MISR and RADARSAT data. High-resolution IKONOS images were used for local ground truth. It was found that on Landsat ETM+ summer images, reflectance from tundra and taiga at band 4 (NIR) is similar, but different at other bands such as red, and MIR bands. When the incidence angle is small, C-band HH-pol backscattering coefficients from both tundra and taiga are relatively high. The backscattering from tundra targets decreases faster than taiga targets when the incidence angle increases, because the tundra targets look smoother than taiga. Because of the shading effect of the vegetation, the MISR data, both multi-spectral data at nadir looking and multi-angle data at red and NIR bands, clearly show the transition zone.

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Держатели документа:
NASA's Goddard Space Flight Center, Code 923, Greenbelt, MD, United States
Department of Geography, University of Maryland, College Park, MD, United States
V.N. Sukachev Institute of Forest, Academgorodok, Krasnoyarsk, Russian Federation
Sci. Systems and Applications, Inc., Lanham, MD, United States

Доп.точки доступа:
Ranson, K.J.; Sun, G.; Kharuk, V.I.; Kovacs, K.

    Fusion of airborne LiDAR and digital photography data for tree crowns segmentation and measurement
/ M. Favorskaya [et al.] // Smart Innovation, Systems and Technologies. - 2015. - Vol. 40: 8th KES International Conference on Intelligent Interactive Multimedia Systems and Services, IIMSS-2015; Sorrento; Italy; 17 June 2015 through 19 June 2015; Code 157679. - P191-201, DOI 10.1007/978-3-319-19830-9_18 . -
Аннотация: During airborne laser scanning, different types of information are available including Light Detection And Ranging (LiDAR) data as a cloud of 3D points, aerial digital photography data (hyperspectral or color visual images), and additional information about parameters of shooting. Difficulties of large image stitching due to parallax effects lead to distortions between ground truth 3D LiDAR coordinates and 2D visual coordinates of the same point. Our contribution is to develop a method for fusion of LiDAR and visual information for accurate segmentation of individual tree crowns in order to receive biomass measurements. The shearlet theory was used to improve boundaries and texture of airborne images. Also in this paper, a higher-order active contour model is applied for area evaluation of tree crowns in a plane. The received area measurements are promising and coincide with expert estimations providing accuracy 92–96%. The modeling results are good for non-Lambert space of forest. © Springer International Publishing Switzerland 2015.

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Держатели документа:
Siberian State Aerospace University, Institute of Informatics and Telecommunications, 31 Krasnoyarsky Rabochy, Krasnoyarsk, Russian Federation
Institute of Forest Russian Academy of Sciences, Siberian Branch, Akademgorodok, 50/28, Krasnoyarsk, Krasnoyarsk, Russian Federation
Department of Geography and Human Environment, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel

Доп.точки доступа:
Favorskaya, M.; Tkacheva, A.; Danilin, I. M.; Medvedev, E. M.