NOAA/AVHRR satellite detection of Siberian silkmoth outbreaks in eastern Siberia

Харук, В. И.; Ranson, K.J.; Kozuhovskaya, A. G.; Kondakov, Y. P.; Пестунов, И А

doi:10.1080/01431160410001719858

Cited by 34 publications

(21 citation statements)

References 7 publications

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“…However, the costs of obtaining and individually processing and calibrating large numbers of fine resolution images has prevented any practical use of fine resolution imagery for monitoring insect outbreaks on a regional scale. Very coarse resolution imagery, in particular SPOT_VEGETATION and NOAA AVHRR (>1 km resolution), have been put to use in identifying and mapping forest defoliation on regional scales Kharuk et al, 2004). While evaluations of coarse resolution imagery generally confirm that forest change patterns can be identified with a good accuracy, the coarse resolution limits the applicability of this type of imagery in detailed monitoring.…”

Section: Introductionmentioning

confidence: 98%

Monitoring the spatio-temporal dynamics of geometrid moth outbreaks in birch forest using MODIS-NDVI data

Jepsen

Hagen

Høgda

et al. 2009

Remote Sensing of Environment

101

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Section: Introductionmentioning

confidence: 98%

Monitoring the spatio-temporal dynamics of geometrid moth outbreaks in birch forest using MODIS-NDVI data

Jepsen

Hagen

Høgda

et al. 2009

Remote Sensing of Environment

101

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“…In general, these data are freely available with global cover. Several low spatial resolution sensor systems have been used in insect disturbance monitoring; for example, data from the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR), the Moderate Resolution Imaging Spectroradiometer (MODIS), and SPOT VEGETATION were utilized by Kharuk et al (2004Kharuk et al ( , 2007Kharuk et al ( , 2009 to monitor damage by the Siberian silk moth (Dendrolimus superans sibiricus Tschetverikov) in Siberia. MODIS data have also been used to detect defoliation by the European gypsy moth (Lymantria dispar L.) (de Beurs and Townsend 2008;Spruce et al 2011) in North America, and SPOT VEGETATION and NOAA AVHRR data were used by Fraser et al (2005) to monitor changes in forest cover at continental scale.…”

Section: Introductionmentioning

confidence: 99%

Development of a method for monitoring of insect induced forest defoliation – limitation of MODIS data in Fennoscandian forest landscapes

Olsson¹,

Kantola²,

Lyytikäinen‐Saarenmaa³

et al. 2016

Silva Fenn.

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Highlights• We developed and tested a method to monitor insect induced defoliation in forests based on coarse-resolution satellite data (MODIS).• MODIS data may fail to detect defoliation in fragmented landscapes, especially if defoliation history is long. More homogenous forests results in higher detection accuracies.• The method may be applied to future coarse and medium-resolution satellite data with high temporal resolution. AbstractWe investigated if coarse-resolution satellite data from the MODIS sensor can be used for regional monitoring of insect disturbances in Fennoscandia. A damage detection method based on z-scores of seasonal maximums of the 2-band Enhanced Vegetation Index (EVI2) was developed. Time-series smoothing was applied and Receiver Operating Characteristics graphs were used for optimisation. The method was developed in fragmented and heavily managed forests in eastern Finland dominated by Scots pine (Pinus sylvestris L.) (pinaceae) and with defoliation of European pine sawfly (Neodiprion sertifer Geoffr.) (Hymenoptera: Diprionidae) and common pine sawfly (Diprion pini L.) (Hymenoptera: Diprionidae). The method was also applied to subalpine mountain birch (Betula pubescens ssp. Czerepanovii N.I. Orlova) forests in northern Sweden, infested by autumnal moth (Epirrita autumnata Borkhausen) and winter moth (Operophtera brumata L.). In Finland, detection accuracies were fairly low with 50% of the damaged stands detected, and a misclassification of healthy stands of 22%. In areas with long outbreak histories the method resulted in extensive misclassification. In northern Sweden accuracies were higher, with 75% of the damage detected and a misclassification of healthy samples of 19%. Our results indicate that MODIS data may fail to detect damage in fragmented forests, particularly when the damage history is long. Therefore, regional studies based on these data may underestimate defoliation. However, the method yielded accurate results in homogeneous forest ecosystems and when long-enough periods without damage could be identified. Furthermore, the method is likely to be useful for insect disturbance detection using future medium-resolution data, e.g. from Sentinel-2.

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“…2) Owing to recent preventive and control measures by remote sensing, plane, spray, blacklight lamp and so on, the area, damaged by D. superans has decreased (Deng et al, 2002;Kharuk et al, 2004;Xiao, 2004;Li, 2006). In 2006, the average density of D. superans per tree and percentage of affected trees dropped to its lowest point in recent history, since the habitat of insect borers would be gradually lost due to the decrease of D. superans incidence.…”

Section: Discussionmentioning

confidence: 98%

Invasive sequence and ecological niche of main insect borers of Larix gmelinii forest in Aershan, Inner Mongolia

et al. 2008

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After the outbreak of Dendrolimus superans Buter in 2002, many insect borers quickly invaded larch (Larix gmelinii Rupr.) forests in the Aershan of Inner Mongolia. Methods involved included setting sample plots, collecting adults in iron traps and measuring areas of galleries to study the invasive sequence, their ecological niche and the extent of the different effects by the main insect borers to their hosts. The results showed that the damage of D. superans weakened L. gmelinii, first Ips subelongatus Motschulsky invaded, followed by Acanthocinus carinulatus Gebler, Monochamus urussovi Fisher and M. sutor L. After the outbreak of D. superans, the average density of longhorn beetles per L. gmelinii tree increased. The ecological niche of Ips subelongatus stretches almost from the base to the top of the trunk. The number of insects in older stands of L. gmelinii is larger than those in middle aged stands. They do not damage healthy trees of L. gmelinii. The ecological niche of A. carinulatus is higher in dead L. gmelinii trees than in weak ones. The degree of damage is directly proportional with age and depth of bark. M. urussovi mainly damages trunks below 4 m in weak trees; in dead trees they can do damage up to 6 m in height. M. sutor mainly damages trunks below 5 m in weak L. gmelinii trees; in dead trees they cause damage up to 7 m. Again, the degree of damage is directly proportional with age. None of the three species of longhorn beetles damage healthy L. gmelinii and younger trees. Among the main insect borers, the degree of damage caused by I. subelongatus is more serious than that of other insects.

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NOAA/AVHRR satellite detection of Siberian silkmoth outbreaks in eastern Siberia

Cited by 34 publications

References 7 publications

Monitoring the spatio-temporal dynamics of geometrid moth outbreaks in birch forest using MODIS-NDVI data

Monitoring the spatio-temporal dynamics of geometrid moth outbreaks in birch forest using MODIS-NDVI data

Development of a method for monitoring of insect induced forest defoliation – limitation of MODIS data in Fennoscandian forest landscapes

Invasive sequence and ecological niche of main insect borers of Larix gmelinii forest in Aershan, Inner Mongolia

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