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

: материалы временных коллективов / Н. В. Трофимова // Исследования компонентов лесных экосистем Сибири. - 2008. - С. 41-43. - Библиогр. в конце ст.
Аннотация: Разработанный алгоритм распознавания и картирования пожарищ по многоканальным изображениям спутников TERRA, завышает оценку площади гари на 2%, в равнении с результатами картирования, по данным спутника LANDSAT+ETM. В то же время, алгоритм картирования пожаров по данным спутника AVHRR/NOAA, позволяет идентифицировать более 70% обнаруженных очагов горения общей площадью пожарищ, превышающую реальные значения почти на 30%. Из анализа причин возникновения неопределенностей и ошибок в оценке дымовых эмиссий, следует, что методика расчета позволяет производить оценку массы дымовых газов с точностью до 30%.

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50, стр., 28

Доп.точки доступа:
Trofimova N.V.

: материалы временных коллективов / В. А. Рыжкова, М. А. Корец, И. В. Данилова // Пожары в лесных экосистемах Сибири: материалы Всероссийской конф. с межд. участием, 17-19 сентября 2008 г., Красноярск. - 2008. - С. 175-178. - Библиогр. в конце ст.
Аннотация: Картографирование является базовым блоком в концепции мониторинга лесов, обеспечивающим пространственный аспект инвентаризации и оценки современного состояния и динамики лесного покрова. С использованием ГИС разработана методика автоматизированного картографирования восстановительной динамики лесов на основе сопряженного анализа данных космической мультиспектральной съемки, цифровой модели рельефа местности (ЦМР) и наземных исследований. На территорию тестового участка в Нижнем Приангарье по ЦМР (RTV 90m) и данным космической съемки (Landsat ETM+) получены векторные карты, отражающие распределение восстановительных рядов и стадий восстановления лесной растительности в разных лесорастительных условиях.

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок, 50, стр., 28

Доп.точки доступа:
Корец, Михаил Анатольевич; Korets, Mikhail Anatol'yevich; Данилова, Ирина Валерьевна; Danilova, Irina Valer'yevna; Ryzhkova, Vera Alexandrovna

: материалы временных коллективов / В. А. Рыжкова, М. Корец, И. В. Данилова // Генетическая типология, динамика и география лесов России: Доклады Всероссийской научной конференции (с международным участием), посвященной 100-летию со дня рождения Б.П. Колесникова (21-24 июля 2009 г., Екатеринбург). - Екатеринбург : УрО РАН, 2009. - С. 184-187. - Библиогр. в конце ст.
Аннотация: Обсуждены преимущества генетического подхода к классификации лесной растительности для изучения и картографирования динамических явлений в растительном покрове. С использованием ГИС разработана методика автоматизированного картографирования восстановительной динамики лесов на основе сопряженного анализа данных космической мультиспектральной съемки, цифровой модели рельефа местности (ЦМР) и наземных исследований. На тестовую территорию (Нижнее Приангарье) по данным космической съемки (Landsat ETM+) и ЦМР (SRTM 90m) получены векторные карты, отражающие распределение восстановительных рядов лесной растительности и их возрастных стадий в разных лесорастительных условиях.

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28

Доп.точки доступа:
Корец, Михаил Анатольевич; Korets, Mikhail Anatol'yevich; Данилова, Ирина Валерьевна; Danilova, Irina Valer'yevna; Ryzhkova, Vera Alexandrovna

: материалы временных коллективов / А. В. Климченко // Хвойные бореальной зоны. - 2011. - Т.29, №3-4. - С. 224-227. - Библиогр. в конце ст.
Аннотация: Представлена оценка запасов органического вещества аккумулированного в крупном фитодетрите темнохвойных насаждений средней тайги Приенисейской Сибири в зоне охвата измерительной вышки обсерватории ZOTTO (радиусом до 100 км). В результате автоматической классификации космоснимков LANDSAT ETM+, установлено, что около половины исследуемой территории приходится на темнохвойные леса. Общие запасы крупных древесных остатков (КДО) в темнохвойных насаждениях на исследованной территории составляют 92,4 млн.т, из которых 97% приходится на пихтачи и ельники. Оценка запасов КДО получена с целью формирования базы данных по компонентам углеродного цикла, которые необходимы для количественной характеристики запасов и потоков углерода

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28

Доп.точки доступа:
Klimchenko, Alexandr Vasil'yevich

: материалы временных коллективов / А. В. Климченко // Хвойные бореальной зоны. - 2011. - Т.29, №3-4. - С. 224-227. - Библиогр. в конце ст.
Аннотация: Представлена оценка запасов органического вещества аккумулированного в крупном фитодетрите темнохвойных насаждений средней тайги Приенисейской Сибири в зоне охвата измерительной вышки обсерватории ZOTTO (радиусом до 100 км). В результате автоматической классификации космоснимков LANDSAT ETM+, установлено, что около половины исследуемой территории приходится на темнохвойные леса. Общие запасы крупных древесных остатков (КДО) в темнохвойных насаждениях на исследованной территории составляют 92,4 млн.т, из которых 97% приходится на пихтачи и ельники. Оценка запасов КДО получена с целью формирования базы данных по компонентам углеродного цикла, которые необходимы для количественной характеристики запасов и потоков углерода

Держатели документа:
Институт леса им. В.Н. Сукачева Сибирского отделения Российской академии наук : 660036, Красноярск, Академгородок 50/28

[Text] / K. J. Ranson [et al.] // Remote Sens. Environ. - 2004. - Vol. 93, Is. 3. - P283-295, DOI 10.1016/j.rse.2004.06.019. - Cited References: 38 . - 13. - ISSN 0034-4257РУБ Environmental Sciences + Remote Sensing + Imaging Science & Photographic Technology

Аннотация: Monitoring the dynamics of the circumpolar boreal forest (taiga) and Arctic tundra boundary is important for understanding the causes and consequences of changes observed in these areas. This ecotone, the world's largest, stretches for over 13,400 km and marks the transition between the northern limits of forests and the Southern margin of the tundra. Because of the inaccessibility and large extent of this zone, remote sensing data can play an important role for mapping the characteristics and monitoring the dynamics. Basic understanding of the capabilities of existing space borne instruments for these purposes is required. In this study we examined the use of several remote sensing techniques for characterizing the existing tundra-taiga ecotone. These include Landsat-7, MISR, MODIS and RADARSAT data. Historical cover maps, recent forest stand measurements and high-resolution IKONOS images were used for local ground truth. It was found that a tundra-taiga transitional area can be characterized using multi-spectral Landsat ETM+ summer images, multi-angle MISR red band reflectance images, RADARSAT images with larger incidence angle, or multi-temporal and multi-spectral MODIS data. Because of different resolutions and spectral regions covered, the transition zone maps derived from different data types were not identical, but the general patterns were consistent. (C) 2004 Published by Elsevier Inc.

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Держатели документа:
NASA, Goddard Space Flight Ctr, Biospher Sci Branch, Greenbelt, MD 20771 USA
Univ Maryland, Dept Geog, College Pk, MD 20742 USA
Academogorodok, VN Sukachev Inst Forest, Krasnoyarsk, Russia
Sci Syst & Applicat Inc, Lanham, MD USA

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

[Text] / K. J. Ranson [et al.] // Can. J. Remote Sens. - 2003. - Vol. 29, Is. 2. - P271-285. - Cited References: 32 . - 15. - ISSN 0703-8992РУБ Remote Sensing

Аннотация: As part of a Siberian mapping project supported by the National Aeronautics and Space Administration (NASA), this study evaluated the capabilities of radars flown on the European Remote Sensing Satellite (ERS), Japanese Earth Resources Satellite (JERS), and Radarsat spacecraft and an optical sensor enhanced thematic mapper plus (ETM+) on-board Landsat-7 to detect fire scars, logging, and insect damage in the boreal forest. Using images from each sensor individually and combined, an assessment of the utility of using these sensors was developed. Transformed divergence analysis revealed that Landsat ETM+ images were the single best data type for this purpose. However, the combined use of the three radar and optical sensors did improve the results of discriminating these disturbances.

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Держатели документа:
NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
Sci Syst & Applicat Inc, Lanham, MD 20706 USA
Univ Maryland, Dept Geog, College Pk, MD 20742 USA
VN Sukachev Inst Forest, Krasnoyarsk, Russia

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

/ G. Sun [et al.] // International Geoscience and Remote Sensing Symposium (IGARSS). - 2004. - Vol. 2: 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 (20 September 2004 through 24 September 2004, Anchorage, AK) Conference code: 64488. - P722-724 . -
Аннотация: The transition zone between the Arctic Tundra and boreal forest is sensitive to both climate change and human activities. Monitoring the dynamics of this tundra-forest ecotone is important for understanding of the causes and consequences of changes in land cover. MSS image in 1973 and ETM+ image in 2002 were used to identify the changes at the taiga-tundra transition zones in Ary Mas, Siberia. Linear spectral unmixing was used to map taiga abundances across the boundary. An ETM+ image acquired in 2001 was also processed using linear spectral unmixing, and the results showed the consistence between 2001 and 2002. In order to make the results from MSS and ETM+ comparable, ETM+ images were re-sampled to the pixel size of MSS image, and only three bands (2,3,4) similar to MSS bands 7,5,4 were used. Comparing results from these two datasets shows the changes that occurred in the transition zone during this period. The most significant change is the thickening of taiga forests near the transition zone. The change of tree cover along the taiga-tundra transition zone may be attributed to climate change; however, the validation of these changes needs to be further studied.

Scopus

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

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

/ 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.

Scopus,
WOS

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.

/ G. Sun [et al.] // Eurasian Arct. Land Cover and Land Use in a Changing Climate. - 2011. - P53-77, DOI 10.1007/978-90-481-9118-5_4 . -
Аннотация: Monitoring the dynamics of the circumpolar boreal forest (taiga) and Arctic tundra boundary is important for understanding the causes and consequences of changes observed in these areas. Because of the inaccessibility and large extent of this zone, remote sensing data can play an important role for the purposes. In this study, climate-related changes that occurred in the Ary-Mas larch forests (the world's northernmost forest range) in the last three decades of the twentieth century were analyzed. An analysis of Landsat images in 1973 and 2000 has provided evidence for an increase in the closeness of larch forest canopy by 65% and the expansion of larch to the tundra for 3-10 m per year and to areas relatively poorly protected from wind due to topographic features (elevation, azimuth, and slope). It was found that a tundra-taiga transitional area can be characterized using multi-spectral Landsat ETM+ summer images, multi-angle MISR red band reflectance images, RADARSAT images with larger incidence angle, or multi-temporal and multi-spectral MODIS data. Because of different resolutions and spectral regions covered, the transition zone maps derived from different data types were not identical, but the general patterns were consistent. В© 2011 Springer Science+Business Media B.V.

Scopus,
Полный текст

Держатели документа:
Department of Geography, University of Maryland, Greenbelt, MD 20771, United States
Biospheric Sciences Branch, NASA/GSFC, Code 923, Greenbelt, MD 20771, United States
NASA's Goddard Space Flight Center, Greenbelt, MD 20771, United States
V.N. Sukachev Institute of Forest, SB RAS, Academgorodok, 50, 660036 Krasnoyarsk, Russian Federation

Доп.точки доступа:
Sun, G.; Ranson, K.J.; Kharuk, V.I.; Im, S.T.; Naurzbaev, M.M.

/ 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]

/ Y. Dvornikov, E. Novenko, M. Korets, A. Olchev // Remote Sens. - 2022. - Vol. 14, Is. 3. - Ст. 790, DOI 10.3390/rs14030790. - Cited References:48. - The studies of the key study regions in Vanavara, Igarka, and Turukhansk (field experiments and satellite data analysis conducted by Y.D. and E.N.) were supported by the Russian Science Foundation (grant 20-17-00043). The data analysis for the study area in Tura was conducted by M.K. and supported by the Russian Science Foundation (grant 21-17-00163). The forest inventory data analysis was also conducted by M.K. and supported by the Russian Foundation for Basic Research (grant 20-45-242908). . - ISSN 2072-4292РУБ Environmental Sciences + Geosciences, Multidisciplinary + Remote Sensing

Аннотация: The history of wildfires along a latitudinal transect from forest-tundra to middle taiga in North-Central Siberia was reconstructed for the period from 1985 to 2020 using Landsat imagery. The transect passed through four key regions (75 x 75 km(2)) with different climate and landscape conditions that allowed us to evaluate regional wildfire dynamics as well as estimate differences in post-fire forest recovery. The Level-2A Landsat data (TM, ETM+, and OLI) were used to derive: (i) burned area (BA) locations, (ii) timing of wildfire occurrence (date, month, or season), (iii) fire severity, and (iv) trends in post-fire vegetation recovery. We used pre-selected and pre-processed scenes suitable for BA mapping taken within four consecutive time intervals covering the entire period of data analysis (1985-2020). Pre- and post-fire dynamics of forest vegetation were described using spectral indices, i.e., NBR and NDVI. We found that during the last three decades, the maximum BA occurred in the southernmost Vanavara region where approximate to 58% of the area burned. Total BA gradually decreased to the northwest with a minimum in the Igarka region (approximate to 1%). Nearly half of these BAs appeared between summer 2013 and autumn 2020 due to higher frequency of hot and dry weather. The most severe wildfires were detected in the most northeastern Tura region. Analysis of NDVI and NBR dynamics showed that the mean period of post-fire vegetation recovery ranged between 20 and 25 years. The time of vegetation recovery at BAs with repeat wildfires and high severity was significantly longer.

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Держатели документа:
Peoples Friendship Univ Russia, Agr Technol Inst, Dept Landscape Design & Sustainable Ecosyst, Moscow 117198, Russia.
Lomonosov Moscow State Univ, Fac Geog, GSP-1,1-12 Leninskie Gory, Moscow 119991, Russia.
Russian Acad Sci, Inst Geog, Staromonetny Lane 29, Moscow 119017, Russia.
Russian Acad Sci, VN Sukachev Inst Forest, KSC SB RAS, Siberian Branch, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Shirshov Inst Oceanol, Moscow 117997, Russia.

Доп.точки доступа:
Dvornikov, Yury; Novenko, Elena; Korets, Mikhail; Olchev, Alexander; Russian Science FoundationRussian Science Foundation (RSF) [20-17-00043, 21-17-00163, 20-45-242908]