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

[Text] / V. I. Kharuk, K. J. Ranson, S. T. Im ; ed.: AM Larar, Q Tong, Tong, // MULTISPECTRAL AND HYPERSPECTRAL REMOTE SENSING INSTRUMENTS AND APPLICATIONS. Ser. PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE) : SPIE-INT SOC OPTICAL ENGINEERING, 2003. - Vol. 4897: Conference on Multispectral and Hyperspectral Remote Sensing Instruments and Applications (OCT 25-27, 2002, HANGZHOU, PEOPLES R CHINA). - P272-278, DOI 10.1117/12.466865. - Cited References: 3 . - 7. - ISBN 0277-786X. - ISBN 0-8194-4683-1РУБ Geosciences, Multidisciplinary + Instruments & Instrumentation + Remote Sensing + Optics + Physics, Applied

Аннотация: This paper study considers the effects of oil exploration and development in the oilfields of Evenkiya, Central Siberia (60degrees30'N/96degrees30'E). The drilling in this area was initiated in 1970, and the first oil was extracted in 1977. Image data from the US' Landsat - 7, the Russian "Resours", and the European ERS-2 remote sensing satellites were analyzed. The information value of the Landsat-7channels was evaluated. In particular, the fresh oil drilling sites effectively differ from old ones in the third (0.63-0.69 mum) and fourth (0.75-0.90 mum) channels. Recently burned areas are detectable in the middle IR (1.55-1.75, 2.08-2.35 mum). The classification accuracy depends on the number of channels used, but does not improve greatly using more than 4 or 5 channels. Landsat - 7 scenes enable the detection of patterns for parallel strips (5 - 10 in in width) of cut forest, the first sign of the oil reconnaissance. Alongside the direct impacts of oil-exploitation, fire frequency was increased. The "big" fires (area > 200 ha) caused similar to90% of the total damage, but only accounted for 10% of total firescars. The area of human-caused impact is similar to20% of territory, which is similar to2.5 higher than average for known oil development areas within the Landsat scene. The ERS-2 scenes were found to be effective for mapping fresh drilling sites only. The comparative analysis of "Resours" KFA-1000 camera scene (June 1984) and Landsat-7 (October 1999) showed that during this period the number of oilrigs increased nearly 5 times. Generally, the Landsat-7 data are effective for early detection of the anthropogenic impact on the Siberian larch-dominated communities.

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Держатели документа:
Sukachev Inst Forest, Krasnoyarsk 660036, Russia

Доп.точки доступа:
Kharuk, V.I.; Ranson, K.J.; Im, S.T.; Larar, AM \ed.\; Tong, Q \ed.\; Tong, \ed.\

/ K. J. Ranson [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS). - 2007. - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 (23 June 2007 through 28 June 2007, Barcelona) Conference code: 71398. - Ст. 4423302. - P2306-2309, DOI 10.1109/IGARSS.2007.4423302 . -
Аннотация: Mapping of boreal forest's type, structure parameters and biomass are critical for understanding the boreal forest's significance in the carbon cycle, its response to and impact on global climate change. The biggest deficiency of the existing ground based forest inventories is the uncertainty in the inventory data, particularly in remote areas of Siberia where sampling is sparse, lacking, and often decades old. Remote sensing methods can overcome these problems. In this study, we used the moderate resolution imaging spectroradiometer (MODIS) and unique waveform data of the geoscience laser altimeter system (GLAS) and produced a map of timber volume for a 10В°?12В° area in Central Siberia. Using these methods, the mean timber volume for the forested area in the total study area was 203 m3/ ha. The new remote sensing methods used in this study provide a truly independent estimate of forest structure, which is not dependent on traditional ground forest inventory methods. В© 2007 IEEE.

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Держатели документа:
NASA GSFC, Code 614.4, Greenbelt, MD 20771, United States
Department of Geography, University of Maryland, College Park, MD 20742, United States
Sukachev Institute of Forest, Krasnoyarsk, Russian Federation
Science Systems and Applications Inc., Lanham, MD 20706, United States

Доп.точки доступа:
Ranson, K.J.; Nelson, R.; Kimes, D.; Sun, G.; Kharuk, V.; Montesano, P.

/ 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.

/ R. Nelson [et al.] // Remote Sens. Environ. - 2009. - Vol. 113, Is. 3. - P691-701, DOI 10.1016/j.rse.2008.11.010 . - ISSN 0034-4257
Аннотация: Geosciences Laser Altimeter System (GLAS) space LiDAR data are used to attribute a MODerate resolution Imaging Spectrometer (MODIS) 500В m land cover classification of a 10В° latitude by 12В° longitude study area in south-central Siberia. Timber volume estimates are generated for 16 forest classes, i.e., four forest cover types ? four canopy density classes, across this 811,414В km 2 area and compared with a ground-based regional volume estimate. Two regional GLAS/MODIS timber volume products, one considering only those pulses falling on slopes ? 10В° and one utilizing all GLAS pulses regardless of slope, are generated. Using a two-phase(GLAS-ground plot) sampling design, GLAS/MODIS volumes average 163.4 В± 11.8В m 3/ha across all 16 forest classes based on GLAS pulses on slopes ? 10В° and 171.9 В± 12.4В m 3/ha considering GLAS shots on all slopes. The increase in regional GLAS volume per-hectare estimates as a function of increasing slope most likely illustrate the effects of vertical waveform expansion due to the convolution of topography with the forest canopy response. A comparable, independent, ground-based estimate is 146В m 3/ha [Shepashenko, D., Shvidenko, A., and Nilsson, S. (1998). Phytomass (live biomass) and carbon of Siberian forests. Biomass and Bioenergy, 14, 21-31], a difference of 11.9% and 17.7% for GLAS shots on slopes ? 10В° and all GLAS shots regardless of slope, respectively. A ground-based estimate of total volume for the entire study area, 7.46 ? 10 9В m 3, is derived using Shepashenko et al.'s per-hectare volume estimate in conjunction with forest area derived from a 1990 forest map [Grasia, M.G. (ed.). (1990). Forest Map of USSR. Soyuzgiproleskhoz, Moscow, RU. Scale: 1:2,500,000]. The comparable GLAS/MODIS estimate is 7.38 ? 10 9В m 3, a difference of less than 1.1%. Results indicate that GLAS data can be used to attribute digital land cover maps to estimate forest resources over subcontinental areas encompassing hundreds of thousands of square kilometers.

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Полный текст

Держатели документа:
Biospheric Sciences Branch, NASA/Goddard Space Flight Center, Code 614.4, Greenbelt, MD 20771, United States
Department of Geography, University of Maryland, College Park, MD 20742, United States
Sukachev Forest Institute, Krasnoyarsk-36, Academgorodok, Russian Federation
Science Systems and Applications, Inc., Lanham, MD 20706, United States

Доп.точки доступа:
Nelson, R.; Ranson, K.J.; Sun, G.; Kimes, D.S.; Kharuk, V.; Montesano, P.

/ M. A. Korets, V. A. Ryzhkova, I. V. Danilova // Contemp. Probl. Ecol. - 2014. - Vol. 7, Is. 6. - P643-653, DOI 10.1134/S1995425514060067 . - ISSN 1995-4255
Аннотация: The degree of vegetation disturbance is assessed using the ENVISAT MERIS multispectral satellite sensor. The temporal dynamics of the terrestrial ecosystems is analyzed using SPOT VEGETATION multitemporal satellite data. Spatial regression models are developed for approximating the exceedances of background concentration levels of heavy metals and sulfur in various components of terrestrial ecosystems. Degrees of vegetation disturbance and territory pollution are evaluated using a scoring system. Territorial zoning by the degree of vegetation disturbance is carried out. All the procedures have been conducted based on ground surveys of key sites of ground pollution (2001–2004) of the Norilsk Industrial Region and remote sensing data (1998–2004).

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Держатели документа:
Sukachev Institute of Forest, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50/28Krasnoyarsk, Russian Federation

Доп.точки доступа:
Korets, M.A.; Ryzhkova, V.A.; Danilova, I.V.

/ E. G. Shvetsov, E. I. Ponomarev // Contemp. Probl. Ecol. - 2020. - Vol. 13, Is. 1. - P104-112, DOI 10.1134/S1995425520010096. - Cited References:31. - This work was financially supported by the Russian Foundation for Basic Research, project no. 0356-2019-0009; the government of Krasnoyarsk krai; and the Krasnoyarsk Krai Foundation for Scientific and Engineering Science Work project no. 18-41-242003 "Modeling and Remote Sensing of Effects Induced by Thermal Anomalies of Underlying Surface in the Seasonally Thawed Layer of Soils of Cryolithozone in Siberia" and project no. 18-05-00432 "Impact of Climate Change on Forests of Siberia: Analysis of Forest Area Fire Frequency, Increment for Accretion in Conifers, and Tree-Stand Vital State and Productivity." . - ISSN 1995-4255. - ISSN 1995-4263РУБ Ecology

Аннотация: This work considers the dynamics of vegetation indices and surface temperature of postfire areas of different ages in larch forests of the permafrost zone of Siberia obtained using long-term Terra/MODIS satellite imagery. Landsat/ETM and OLI satellite images were preliminarily classified to analyze the degree of pyrogenic disturbance in the sample of postfire sites. An increase in the average temperature of the underlying surface of the postpyrogenic areas by 3.9-4.6 degrees C was recorded, depending on the degree of disturbance of the litter, which is 15-30% of the average background values. Compared with background values, the deviation (decrease) in the next postfire year was 22% for the NDVI and 72% for the NBR index. Recovery of the NDVI to background values required 7-10 years after the fire. The recovery period for the surface temperature and the NBR index are significantly higher, that is, 15 years and more. Moreover, for 15-20 years after the fire, the temperature anomalies of the underlying surface remain significant.

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Держатели документа:
Russian Acad Sci, Sukachev Inst Forest, Siberian Branch, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.

Доп.точки доступа:
Shvetsov, E. G.; Ponomarev, E. I.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [0356-2019-0009]; government of Krasnoyarsk krai; Krasnoyarsk Krai Foundation for Scientific and Engineering Science Work project [18-41-242003, 18-05-00432]

/ V. I. Kharuk, S. T. Im, V. V. Soldatov // J. Mt. Sci. - 2020, DOI 10.1007/s11629-020-5989-3 . - Article in press. - ISSN 1672-6316
Аннотация: Siberian silkmoth (SSM, Dendrolimus sibiricus Tschetv.) is the most important defoliator of Siberian pine (Pinus sibirica Du Tour) and fir (Abies sibirica Ledeb.) stands. Warming-induced SSM outbreaks are one of the major driving factors of successions within the taiga zone. It is suggested that climate change impacted the SSM range and life cycle. We analyzed the migration of alpine and northerly SSM outbreak boundaries in Siberia and the impact of the climate variables and topography on the outbreak dynamics. We used time-series scenes (multispectral data, and vegetation indexes EVI and NDII) in combination with field studies, climate variables, and GIS techniques. We found that SSM outbreaks in the area of alpine boundary shifted about 370 m uphill since the mid of 1950. The outbreak onset was promoted by increased dryness and active temperatures and decreased root zone moisture content in the spring-early summer period. The terrain topography strongly affected SSM outbreak onset and dynamics. Initially, the outbreak was located at the middle elevations on the gentle concave southeastern slopes, which are the favorable insect habitats between outbreaks. Then the outbreak expanded uphill and downhill, to steeper slopes, and both concave and convex terrains. Alongside with elevation range expansion, SSM surpassed its northern historical outbreak boundary: the potential outbreaks’ boundary moved about 300 km northward. Climate warming contributes to SSM migration into former outbreak free conifer stands located in highlands and at northern latitudes. © 2020, Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature.

Scopus

Держатели документа:
Sukachev Institute of Forest, Federal Scientific Center, Russian Academy of Science, Siberian Branch, Academgorodok 50/28, Krasnoyarsk, 660036, Russian Federation
Siberian Federal University, Svobodny str.79, Krasnoyarsk, 660041, Russian Federation
Reshetnev Siberian State University of Science and Technology, Krasnoyarsky rabochy str. 31, Krasnoyarsk, 660014, Russian Federation
Russian Center of Forest Protection, Academgorodok 50A/2, Krasnoyarsk, 660036, Russian Federation

Доп.точки доступа:
Kharuk, V. I.; Im, S. T.; Soldatov, V. V.

/ V. I. Kharuk, S. T. Im, V. V. Soldatov // J Mt. Sci. - 2020, DOI 10.1007/s11629-020-5989-3. - Cited References:38. - This study was supported by the Russian Foundation for Basic Research, project nos. 18-45-240003 and 18-05-00432. . - Article in press. - ISSN 1672-6316. - ISSN 1993-0321РУБ Environmental Sciences

Аннотация: Siberian silkmoth (SSM,Dendrolimus sibiricusTschetv.) is the most important defoliator of Siberian pine (Pinus sibiricaDu Tour) and fir (Abies sibiricaLedeb.) stands. Warming-induced SSM outbreaks are one of the major driving factors of successions within the taiga zone. It is suggested that climate change impacted the SSM range and life cycle. We analyzed the migration of alpine and northerly SSM outbreak boundaries in Siberia and the impact of the climate variables and topography on the outbreak dynamics. We used time-series scenes (multispectral data, and vegetation indexes EVI and NDII) in combination with field studies, climate variables, and GIS techniques. We found that SSM outbreaks in the area of alpine boundary shifted about 370 m uphill since the mid of 1950. The outbreak onset was promoted by increased dryness and active temperatures and decreased root zone moisture content in the spring-early summer period. The terrain topography strongly affected SSM outbreak onset and dynamics. Initially, the outbreak was located at the middle elevations on the gentle concave southeastern slopes, which are the favorable insect habitats between outbreaks. Then the outbreak expanded uphill and downhill, to steeper slopes, and both concave and convex terrains. Alongside with elevation range expansion, SSM surpassed its northern historical outbreak boundary: the potential outbreaks' boundary moved about 300 km northward. Climate warming contributes to SSM migration into former outbreak free conifer stands located in highlands and at northern latitudes.

WOS

Держатели документа:
Russian Acad Sci, Fed Sci Ctr, Sukachev Inst Forest, Siberian Branch, Academgorodok 50-28, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Svobodny Str 79, Krasnoyarsk 660041, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsky Rabochy Str 31, Krasnoyarsk 660014, Russia.
Russian Ctr Forest Protect, Academgorodok 50A-2, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Kharuk, Viacheslav, I; Im, Sergei T.; Soldatov, Vladimir V.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [18-45-240003, 18-05-00432]