RAPID EVALUATION OF FOREST DAMAGED BY TYPHOON USING MULTISPECTRAL SATELLITE DATA – CASE STUDY IN HOKKAIDO JAPAN
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Аннотация
Тайфун SONGDA (2004.09) нанес серьезный ущерб лесу на Хоккайдо. Данные от Terra/ASTER были использованы для оценки упавших деревьев на юго-западе внутренних и прибрежных районов центрального Хоккайдо. Мы использовали вегетационный индекс в сочетании с максимальной вероятностью классификации (MLC) для картирования пикселей упавших деревьев. Извлечение кластеров упавших деревьев в результате интенсивных ветров было успешно продемонстрировано с использованием спутниковых данных Terra / ASTER.Библиографические ссылки
Asrar G., Fuschs M., Kanemasu E.T., and Hatfi eld J.L.
(1984) Estimating absorbed photosynthetic radiation and leaf
area index from spectral refl ectance in Wheat. Agronomy
Journal 76: 300-306.
Baret F. and Guyot G. (1991) Potentials and Limits of
vegetation indices for LAI and APAR assessment. Remote
Sensing of Environment 35:161-173.
Buhe Aosier; M. Takada; Y. Yasui (2005) Extraction of
fallen trees pixel using Terra/ASTER and MODIS data in
Hokkaido Japan. Proceeding of the 24th annual conference
of Japan Society for Natural Disaster Science. 79-80 (in
Japanese).
Buhe Aosier, M. Takada, Y. Yasui (2005) The spectrum
characteristics of fallen trees, retrieved from ASTER Data,
Report of Analysis of Forest Damage by typhoon Songda
(2004.09) Using Remotely Sensed Data. published by
Hokkaido Forest Disaster Remote Sensing Study Group. 13-
20 (in Japanese).
Buheaosier, Kaneko, M., Shimada, S. and Tsuchiya, K.
(2004) Estimating Soil Moisture in the Arid and Semi-Arid
Region using Terra/ASTER Data., Participatory Strategy for
Soil and Water Conservation.197-202. ERECON Press.
Buho Hoshino, Masami Kaneko, Kenta Ogawa (2009)
Correction of NDVI calculated from ASTER L1B and
ASTER(AST07) data based on ground measurement, Advan ces
in Geoscience and Remote Sensing (Book chapter), published
by IN-TECH press. ISBN978-953-307-005-6. 45-56.
Chen J.M., and Black T.A. (1992): Defi ning leaf area
index for non-fl at leaves. Agricultural and Forest Meteorology
57: 1–12.
Clandillon S., Yésou H., Meyer C., de Boissezon H.,
Favard J.C. (2003) Benefi ts of SPOT 5 HR and VHR data for
forest management and windfall damage mapping. IGARSS
Proceedings 5. 3079 – 3081.
Dwyer E., Pasquali P., Holecz F., Arino O. (2000)
Mapping forest damage cause by the 1999 Lothar storm in
Jura (France), using SAR interferometry. Earth Observation
Quarterly, 65. 28-29.
Ekstrand S (1994) Assessment of forest damage
with Landsat TM: Correction for varying forest stand
characteristics. Remote Sensing of Environment. 47: 291-302.
Ekstrand S (1996) Landsat TM-based forest dama ge
assessment: correction for topographic effects Photogrammetric
engineering and remote sensing 62: 151-161.
Mukai Y., Hasegawa I. (2000) Extraction of damaged
areas of windfall trees by typhoons using Landsat TM data.
Int. J. Remote Sensing, 21. 647-654.
Yésou H., Clandillon S., Meyer C., Allenbach B.,
Maire, C., de Fraipont, P., Favard, J.C., Béquignon, J. (2003)
Operational mapping of storm forest damage and assessment
of future VHR SAR and optical sensors. Goeinformation for
European wide integration, Benes(ed), Millpress, Rotterdam.
457-464.
(1984) Estimating absorbed photosynthetic radiation and leaf
area index from spectral refl ectance in Wheat. Agronomy
Journal 76: 300-306.
Baret F. and Guyot G. (1991) Potentials and Limits of
vegetation indices for LAI and APAR assessment. Remote
Sensing of Environment 35:161-173.
Buhe Aosier; M. Takada; Y. Yasui (2005) Extraction of
fallen trees pixel using Terra/ASTER and MODIS data in
Hokkaido Japan. Proceeding of the 24th annual conference
of Japan Society for Natural Disaster Science. 79-80 (in
Japanese).
Buhe Aosier, M. Takada, Y. Yasui (2005) The spectrum
characteristics of fallen trees, retrieved from ASTER Data,
Report of Analysis of Forest Damage by typhoon Songda
(2004.09) Using Remotely Sensed Data. published by
Hokkaido Forest Disaster Remote Sensing Study Group. 13-
20 (in Japanese).
Buheaosier, Kaneko, M., Shimada, S. and Tsuchiya, K.
(2004) Estimating Soil Moisture in the Arid and Semi-Arid
Region using Terra/ASTER Data., Participatory Strategy for
Soil and Water Conservation.197-202. ERECON Press.
Buho Hoshino, Masami Kaneko, Kenta Ogawa (2009)
Correction of NDVI calculated from ASTER L1B and
ASTER(AST07) data based on ground measurement, Advan ces
in Geoscience and Remote Sensing (Book chapter), published
by IN-TECH press. ISBN978-953-307-005-6. 45-56.
Chen J.M., and Black T.A. (1992): Defi ning leaf area
index for non-fl at leaves. Agricultural and Forest Meteorology
57: 1–12.
Clandillon S., Yésou H., Meyer C., de Boissezon H.,
Favard J.C. (2003) Benefi ts of SPOT 5 HR and VHR data for
forest management and windfall damage mapping. IGARSS
Proceedings 5. 3079 – 3081.
Dwyer E., Pasquali P., Holecz F., Arino O. (2000)
Mapping forest damage cause by the 1999 Lothar storm in
Jura (France), using SAR interferometry. Earth Observation
Quarterly, 65. 28-29.
Ekstrand S (1994) Assessment of forest damage
with Landsat TM: Correction for varying forest stand
characteristics. Remote Sensing of Environment. 47: 291-302.
Ekstrand S (1996) Landsat TM-based forest dama ge
assessment: correction for topographic effects Photogrammetric
engineering and remote sensing 62: 151-161.
Mukai Y., Hasegawa I. (2000) Extraction of damaged
areas of windfall trees by typhoons using Landsat TM data.
Int. J. Remote Sensing, 21. 647-654.
Yésou H., Clandillon S., Meyer C., Allenbach B.,
Maire, C., de Fraipont, P., Favard, J.C., Béquignon, J. (2003)
Operational mapping of storm forest damage and assessment
of future VHR SAR and optical sensors. Goeinformation for
European wide integration, Benes(ed), Millpress, Rotterdam.
457-464.
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Как цитировать
Hoshino В., Nurtazin, S., & Takada, M. (2016). RAPID EVALUATION OF FOREST DAMAGED BY TYPHOON USING MULTISPECTRAL SATELLITE DATA – CASE STUDY IN HOKKAIDO JAPAN. Вестник КазНУ. Серия Экологическая, 32(3). извлечено от https://bulletin-ecology.kaznu.kz/index.php/1-eco/article/view/152
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ОЦЕНКА ДЕЙСТВИЯ ЗАГРЯЗНИТЕЛЕЙ ОКРУЖАЮЩЕЙ СРЕДЫ НА БИОТУ И ЗДОРОВЬЕ НАСЕЛЕНИЯ
