Monitoring infestations of oak forests by Tortrix viridana (Lepidoptera: Tortricidae) using remote sensing L., Pir Bavaghar M., Amanollahi J., Ghobari H. (2016): Monitoring infestations of oak forests by Tortrix viridana (Lepidoptera: Tortricidae) using remote sensing. Plant Protect. Sci., 52: 270-276.
download PDF
We tested the suitability of Landsat images to track defoliation by insect herbivory with focus on the oak leaf roller, Tortrix viridana (Lep.: Tortricidae). Landsat images from the period before (2002) and after the T. viridana infestation (2007, 2014) were compared in oak forests of Zagros in western Iran. The Normalised Difference Vegetation Index (NDVI) was calculated for the test area from Landsat 5, 7, and 8 images. Because the red and near-infrared spectral bands of Landsat 8 OLI sensors are different from the other two, a model for the calibration of Landsat OLI NDVI was developed. The proposed model with a correlation coefficient of 0.928 and root mean square error of 0.05 turned out to be applicable and the NDVI decreased significantly during the observation period. Taking into account the protection status of the area and small fluctuations in temperature, the decrease in NDVI could be attributed to T. viridana damage.
Anonymous (2010). Report of the Garan Research Station. Agriculture and Natural Resources Research Center of Kurdistan.
Babst Flurin, Esper Jan, Parlow Eberhard (2010): Landsat TM/ETM+ and tree-ring based assessment of spatiotemporal patterns of the autumnal moth (Epirrita autumnata) in northernmost Fennoscandia. Remote Sensing of Environment, 114, 637-646
Chander Gyanesh, Markham Brian L., Helder Dennis L. (2009): Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment, 113, 893-903
Chavez Pat S. (1988): An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment, 24, 459-479
Chavez P.S. Jr. (1996): Image-based atmospheric corrections-revisited and improved. Photogrammetric Engineering and Remote Sensing, 62: 1025–1036.
Collins John B., Woodcock Curtis E. (1996): An assessment of several linear change detection techniques for mapping forest mortality using multitemporal landsat TM data. Remote Sensing of Environment, 56, 66-77
Entcheva P. K., Cibula W.G., Carter G.A. (1996): Spectral reflectance characteristics and remote sensing detection of southern pine beetle infestations. Eco-Informa Conference, Nov 4–7, 1996, Lake Buena Vista, USA.
Fazeli M.J., Abaei M. (1990): Green oak leaf-roller moth in Kohkiluyeh and Boyer-Ahmad province (Tortrix viridana L., Lep.: Tortricidae). Applied Entomology and Phytopathology, 57 (1–2): 1–11.
Franklin S.E., Wulder M.A., Skakun R.S., Carroll A.L. (2003): Mountain Pine Beetle Red-Attack Forest Damage Classification Using Stratified Landsat TM Data in British Columbia, Canada. Photogrammetric Engineering & Remote Sensing, 69, 283-288
Ghobari H., Goldansaz S.H., Askari H., Kharazi-Pakdel A., Bihamta M.R. (2007): Investigation of presence, distribution and flight period of oak leaf roller, Tortrix viridana (Lep.: Tortrixidae) using pheromone traps in Kurdistan province. Journal of Entomological Society of Iran, 27 (1): 47–59.
Haack R.A., Blyer J.W. (1993): Insects and pathogens: Regulators of forest ecosystems. Journal of Forestry, 91 (9): 32–37.
Hayes D.J., Sader S.A. (2001): Comparison of change detection techniques for monitoring tropical forest clearing and vegetation regrowth in a time series. Photogrametric Engineering and Remote Sensing, 67: 1067–1075.
Ismail R., Mutanga O., Bob U. (2006): The use of high resolution airborne imagery for the detection of forest canopy damage caused by Sirex noctilio. In: Proceedings International Precision Forestry Symposium. March 1–3, 2006, Stellenbosch, South Africa: 119–134.
Ivashov Anatoliy V, Boyko Georgiy E, Simchuk Andriy P (2002): The role of host plant phenology in the development of the oak leafroller moth, Tortrix viridana L. (Lepidoptera: Tortricidae). Forest Ecology and Management, 157, 7-14
Junttila Samuli, Kaasalainen Sanna, Vastaranta Mikko, Hakala Teemu, Nevalainen Olli, Holopainen Markus (2015): Investigating Bi-Temporal Hyperspectral Lidar Measurements from Declined Trees—Experiences from Laboratory Test. Remote Sensing, 7, 13863-13877
Kelly N.M. (2002): Monitoring sudden Oak death in California using high-resolution imagery, In: Proceedings 5th Symposium on Oak Woodlands: Oaks in California’s Changing Landscape, Oct 22–25, 2002, San Diego, USA: 799–810.
Li Peng, Jiang Luguang, Feng Zhiming (2014): Cross-Comparison of Vegetation Indices Derived from Landsat-7 Enhanced Thematic Mapper Plus (ETM+) and Landsat-8 Operational Land Imager (OLI) Sensors. Remote Sensing, 6, 310-329
Makela H., Pekkarinen A. (2004): Estimation of forest stands volumes by Landsat TM imagery and stand-level field-inventory data. Forest Ecology and Management, 196: 245−255.
Meddens Arjan J.H., Hicke Jeffrey A., Vierling Lee A., Hudak Andrew T. (2013): Evaluating methods to detect bark beetle-caused tree mortality using single-date and multi-date Landsat imagery. Remote Sensing of Environment, 132, 49-58
Meigs Garrett W., Kennedy Robert E., Cohen Warren B. (2011): A Landsat time series approach to characterize bark beetle and defoliator impacts on tree mortality and surface fuels in conifer forests. Remote Sensing of Environment, 115, 3707-3718
Pettorelli Nathalie, Vik Jon Olav, Mysterud Atle, Gaillard Jean-Michel, Tucker Compton J., Stenseth Nils Chr. (2005): Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in Ecology & Evolution, 20, 503-510
Rock B.N., Hoshizaki T., Miller J.R. (1988): Comparison of in situ and airborne spectral measurements of the blue shift associated with forest decline. Remote Sensing of Environment, 24, 109-127
Rullan-Silva C.D., Olthoff A.E., Delgado de la Mata J.A., Pajares-Alonso J.A. (2013): Remote Monitoring of Forest Insect Defoliation -A Review-. Forest Systems, 22, 377-
Sagheb Talebi Kh., Sajedi T., Yazdian F. (2004). Forests of Iran. Research Institute of Forests and Rangelands, Technical Publication No. 339-2003.
Schroeder Hilke, Degen Bernd (2008): Genetic structure of the green oak leaf roller (Tortrix viridana L.) and one of its hosts, Quercus robur L.. Forest Ecology and Management, 256, 1270-1279
Skakun Robert S., Wulder Michael A., Franklin Steven E. (2003): Sensitivity of the thematic mapper enhanced wetness difference index to detect mountain pine beetle red-attack damage. Remote Sensing of Environment, 86, 433-443
Sader S. A., Jin S. (2006): Feasibility and accuracy of MODIS 250M imagery for forest disturbance monitoring, In: Proceedings of ASPRS 2006 Annual Conference. May 1–5, 2006, Reno, USA: 10–17.
Tucker Compton J. (1979): Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8, 127-150
Vogelmann J.E., Rock B.N. (1988): Detection of pear thrips damage using satellite imagery data. In: Proceedings International Conference on Thrips, Febr 21–23, 1988, Burlington, USA: 285–300.
Vogelmann James E., Tolk Brian, Zhu Zhiliang (2009): Monitoring forest changes in the southwestern United States using multitemporal Landsat data. Remote Sensing of Environment, 113, 1739-1748
Wang J., Rich P. M., Price K. P. (2003): Temporal responses of NDVI to precipitation and temperature in the central Great Plains, USA. International Journal of Remote Sensing, 24, 2345-2364
Walter Jonathan A., Platt Rutherford V. (2013): Multi-temporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles. Forest Ecology and Management, 302, 308-318
White J.C., Wulder M.A., Grills D. (2006): Detecting and mapping mountain pine beetle red-attack damage with SPOT-5 10-m multispectral imagery. BC Journal of Ecosystems and Management, 7: 105–118.
Wulder Michael A., Dymond Caren C., White Joanne C., Leckie Donald G., Carroll Allan L. (2006): Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities. Forest Ecology and Management, 221, 27-41
Yazdanfar H., Ghodskhah M.D., Jalali J.S., Ghobari H. (2015): Effects of three Quercus species on feeding performance of the green oak leaf roller, Tortix viridana L. (Lepidoptera: Tortricidae). Journal of Crop Protection, 26: 711–718.
Zhang Quan-fa, Chen Wen-jun (2007): Fire cycle of the Canada’s boreal region and its potential response to global change. Journal of Forestry Research, 18, 55-61
download PDF

© 2021 Czech Academy of Agricultural Sciences | Prohlášení o přístupnosti