Abstract
The article deals with the results of a statistical analysis reflecting tendencies (trends) of the relationship between spectral characteristics of taiga forests, indicators of the morphological structure of forest canopy and illumination of the territory. The study was carried out on the example of the model forest territory of the Priangarskiy taiga region of Eastern Siberia (Krasnoyarsk krai) using historical data (forest inventory 1992, Landsat 5 TM 16.06.1989) and the digital elevation model. This article describes a method for determining the quantitative indicator of morphological structure of forest canopy based on taxation data, and the authors propose to subdivide the morphological structure into high complexity, medium complexity, and relatively simple. As a result of the research, dependences of average values of spectral brightness in near and short-wave infrared channels of a Landsat 5 TM image for dark-coniferous, light-coniferous and deciduous forests from the degree of complexity of the forest-canopy structure are received. A high level of variance and maximum brightness average values are marked in green moss (hilocominosa) dark-coniferous and various-grass (larioherbosa) dark-coniferous forests and light-coniferous forests with a complex structure of canopy. The parvifoliate forests are characterized by high values of brightness in stands with a relatively simple structure of the canopy and by a small variance in brightness of any degree of the structure of the canopy complexity. The increase in brightness for the lit slopes in comparison with shaded ones in all stands with a difficult morphological canopy structure is revealed. However, the brightness values of the lit and shaded slopes do not differ for stands with a medium complexity of the structure. It is noted that, in addition to the indicator of the forest-canopy structure, the possible impact on increasing the variance of spectral brightness for the taxation plot has a variability of the slope ratio of “microslopes” inside the forest plot if it exceeds 60%.
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References
Aerokosmicheskie metody v okhrane prirody i v lesnom khozyaistve (Aerospace Methods in Environmental Protection and Forestry), Sukhikh, V.I., Sinitsyn, S.G., Apostolov, Yu.S., Danyulis, E.P., Zhirin, V.M., Moroz, P.I., Rukosuev, G.N., and El’man, R.I., Eds., Moscow: Lesnaya promyshlennost’, 1979.
Cartus, O., Kellndorfer, J., Rombach, M., and Walker, W., Mapping canopy height and growing stock volume using airborne lidar, ALOS PALSAR and Landsat ETM+, Remote Sens., 2012, vol. 4, no. 11, p. 3320–3345. doi 10.3390/rs4113320
Daliakopoulos, I.N., Grillakis, E.G., Koutroulis, A.G., and Tsanis, I.K., Tree crown detection on multispectral VHR satellite imagery, Photogram. Eng. Remote Sens., 2009, vol. 75, no. 10, pp. 1201–1211.
Danilin, I.M. and Favorskaya, M.N., Description of program modules of the use of laser location and digital aerial photos of forest areas, Issled. Zemli Kosmosa, 2013, no. 2, pp. 62–73.
Elsakov, V.V. and Marushchak, I.O., Satellite images in the analysis of qualitative characteristics of forest phytocenoses of the Pechero-Ilych natural reserve, Komi Republic, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2011, vol. 8, no. 4, pp. 303–309.
Elsakov, V.V. and Teteryuk, L.V., The role of topography in the formation of vegetation of karst landscapes in northeastern Europe, Issled. Zemli Kosmosa, 2012, no. 3, pp. 78–93.
Ioffe, A.I., A method for assessing the inhomogeneities of the topography of a given area, Issled. Zemli Kosmosa, 2013, no. 3, pp. 91–94.
Karantzalos, K.G. and Argialas, D.P., Towards automatic olive tree extraction from satellite imagery, Commis. III, WG4, 2010.
Knyazeva, S.V., GIS of forest biogeocenotic cover of river basins, in Metodicheskie podkhody k ekologicheskoi otsenke lesnogo pokrova v basseine maloi reki (Methodical Approaches to Ecological Assessment of Forest Cover in the Basin of Small Rivers), Zaugol’nova, L.B. and Braslavskaya, T.Yu., Eds., Moscow: Tsentr po problemam ekologii i produktivnosti lesov RAN, 2010, pp. 208–226.
Kolobov, A.N., Modeling the spatial and temporal dynamics of wood communities: An individual-oriented approach, Lesovedenie, 2014, no. 5, pp. 72–82.
Kozoderov, V.V., Kondranin, T.V., Dmitriev, E.V., Egorov, V.D., and Borzyak, V.V., Innovation technology of processing of multispectral space images of the Earth’s surface, Issled. Zemli Kosmosa, 2008, no. 1, pp. 56–72.
Lymburner, L., Beggs, P.J., and Jacobson, C.R., Estimation of canopy-average surface-specific leaf area using Landsat TM data, Photogram. Eng. Remote Sens., 2000, vol. 66, no. 2, pp. 183–191.
Marushchak, O.I. snd Elsakov, V.V., Satellite monitoring materials in analyzing the density of forest phytocenoses in the near-polar Urals, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2010, vol. 7, no. 1, pp. 310–318.
Monitoring biologicheskogo raznoobraziya lesov Rossii: metodologiya i metody (Monitoring of Forest Biodiversity in Russia: Methodology and Methods), Isaev, A.S., Ed., Moscow: Nauka, 2008.
Novichikhin, A.E. and Tutubalina, O.V., Integration of algorithms of processing of space images of very high spatial resolution for automatic decoding of forest vegetation, Zemlya Kosmosa, 2009, no. 3, pp. 40–42.
Palace, M., Keller, M., Asner, G., Hagen, S., and Braswell, B., Amazon forest structure from IKONOS satellite data and the automated characterization of forest canopy properties, Biotropica, 2008, vol. 40, no. 2, pp. 141–150.
Rysin, L.P., The past and present of forest typology in Russia, in Produktsionnyi protsess i struktura lesnykh biogeotsenozov: teoriya i eksperiment (Pamyati Utkina A.I.) (The Production Process and Structure of Forest Biogeocenoses: Theory and Experiment (Commemorating A.I. Utkin)), Moscow: Inst. lesovedeniya RAN, Tovarishchestvo nauch. izd. KMK, 2009, pp. 161–183.
Samoilovich, G.G., Primenenie aerofotos"emki i aviatsii v lesnom khozyaistve (The Use of Aerial Photo Images in Forestry), Moscow: Lesnaya promyshlennost', 1964.
Savorskii, V.P., Zakharov, A.I., Zakharova, L.N., Maklakov, S.M., Panova, O.Yu., and Chumachenko, S.I., Integrated analysis of the results of optical and radar observations of forest canopies, Sovrem. Probl. Distan tsionnogo Zondirovaniya Zemli Kosmosa, 2013, vol. 10, no. 4, pp. 213–223.
Skorobogat’ko, N.D., The structure of decoding indicators of the canopy of modal spruce stands in the plain the Kama region and pine plants of the Kursk region for automated interpretation of aerial photographs, in Aktual’nye problemy lesnogo kompleksa (Important Problems of Forestry), Pamfilov, E.A., Ed., Bryansk: BGITA, 2004, vol. 9, pp. 42–50.
Tyukavina, A.Yu., Determination of the density of the crowns of rare Taimyr larch trees from space images of various resolutions, Issled. Zemli Kosmosa, 2012, no. 5, pp. 64–74.
Vasilevich, M.I., Elsakov, V.V., and Shchanov, V.M., Using satellite methods of research in monitoring of the state of forest phytocenoses in the zone of industrial releases, Sovrem. Probl. Distantsionnogo Zondirovaniya Zemli Kosmosa, 2014, vol. 11, no. 1, pp. 30–42.
Vohland, M., Stoffels, J., Hau, C., and Schuler, G., Remote sensing techniques for forest parameter assessment: Multispectral classification and linear spectral mixture analysis, Silva Fennica, 2007, vol. 41, no. 3, pp. 441–456.
Wulger, M.A., Han, T., White, J.C., Sweda, T., and Tsuzuki, H., Integration profiling lidar with Landsat data for regional boreal forest canopy attribute estimation and change characterization, Remote Sens. Environ., 2007, vol. 110, no. 1, pp. 123–137.
Zhirin, V.M. and Knyazeva, S.V., Specific features of the forest canopy ion the basis of vegetation indices calculated from MSU-E space surveying data, Issled. Zemli Kosmosa, 2003, no. 2, 73–79.
Zhirin, V.M., Knyazeva, S.V., and Eydlina, S.P., Remote tracking of forest formation in post-felling taiga forests of the Russian plain, Lesovedenie, 2011, no. 6, pp. 29–38.
Zhirin, V.M., Knyazeva, S.V., and Eydlina, S.P., Peculiarities of the recovery of damaged forest cover in taiga forest of the Russian plain, in Raznoobrazie i monitoring lesnykh ekosistem Rossii (Diversity and Monitoring of Forest Ecosystems in Russia), Isaev, A.S., Ed., Moscow: KMK, 2012, pp. 352–381.
Zhirin, V.M., Knyazeva, S.V., and Eydlina, S.P., Dynamics of spectral brightness of the age–species structure of forest type groups on Landsat images, Lesovedenie, 2014, no. 5, pp. 3–12.
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Original Russian Text © V.M. Zhirin, S.V. Knyazeva, S.P. Eydlina, 2016, published in Issledovanie Zemli iz Kosmosa, 2016, No. 5, pp. 10–20.
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Zhirin, V.M., Knyazeva, S.V. & Eydlina, S.P. Influence of Forest-Canopy Morphology and Relief on Spectral Characteristics of Taiga Forests. Izv. Atmos. Ocean. Phys. 53, 1019–1028 (2017). https://doi.org/10.1134/S0001433817090365
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DOI: https://doi.org/10.1134/S0001433817090365