Applicability of a vegetation indices-based method to map bark beetle outbreaks in the High Tatra Mountains

Havašová, Mária; Bucha, Tomáš; Ferenčík, Ján; Jakuš, Rastislav

doi:10.15287/afr.2015.388

Cited by 41 publications

(38 citation statements)

References 39 publications

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“…І. Лялько та ін. / Український журнал дистанційного зондування Землі 20 (2019) [4][5][6][7][8][9][10][11][12] У 2005 році фахівці ЦАКДЗ розпочали дослід ження у межах Карпатського національного при родного парку (КНПП). Використовуючи значний об'єм наявних наземних спостережень та дистан ційних матеріалів у межах КНПП, були зроблені методичні розробки для вирішення екологічних проблем лісів.…”

Section: результати дослідженьunclassified

“…Це показник розраховується за формулою простого співвідношення ко ефіцієнтів відбиття на довжинах хвиль середнього та ближнього інфрачервоного діапазонів (1 600 нм/820 нм). Індекс відношення MSI викори стовувався в роботах [12,15], які досліджували стан здоров'я хвойного лісу за допомогою дистанційно го зондування. Для сенсора Sentinel 2 це відповідає співвідношенню рівнів відбиття 11 та 8 каналів.…”

Section: виявлення осередків ураження деревостанів кнпп за знімком з unclassified

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Space monitoring of the environment – an effective mechanism of forest protection

Лялько

Zholobak

Khodorovskyi

et al. 2019

UJRS

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The supervised classification of mountain forests in Carpathian National Nature Park was carried out in order to clarify the spatial distribution of their species composition and phytosanitary conditions. The area of deciduous forests in territory of the Carpathians is constantly increasing comparing with coniferous forests. The investigation of affection factors for Carpathian spruce forests established that the damaged forest areas are mainly located in relief depressions. On the basis of Sentinel-2 satellite data the phytosanitary condition of individual forest areas was analyzed. The significant differences in brightness values and vegetation indices NDVI and MSI between diseased and healthy areas were determined.

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Section: результати дослідженьunclassified

Section: виявлення осередків ураження деревостанів кнпп за знімком з unclassified

Space monitoring of the environment – an effective mechanism of forest protection

Лялько

Zholobak

Khodorovskyi

et al. 2019

UJRS

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“…Previous studies have shown the significant potential of remote sensing data for detecting the advanced stages of bark beetle infestation (so-called 'redattack' and 'grey-attack') (Coops et al, 2006;Filchev, 2012;Franklin et al, 2003;Hais et al, 2009;Havašová et al, 2015;Meddens et al, 2013;Skakun et al, 2003;White et al, 2007;White et al, 2006;Wulder et al, 2006). A red-attack is the advanced stage of bark beetle infestation, in which the attacked trees develop stress symptoms by turning their needles' colour from green to yellow to red-brown.…”

Section: Introductionmentioning

confidence: 99%

“…For example, many studies have employed spectral vegetation indices (SVIs) from low-to-medium resolution satellite data to detect the advanced stages of bark beetle infestation (red and grey attack) (Filchev, 2012a;Franklin et al, 2003b;Hais et al, 2009;Havašová et al, 2015;Meddens et al, 2013;Wulder et al, 2006c); however, to date, the identification of European spruce bark beetle (Ips typographus, L.) green attack has been less satisfactory due to many biological, technical and logistical constraints/limitations. These issues include the flight activity of the bark beetle, the time duration required for the colonisation process and the period when the infested trees have yet to show distinct symptoms capable of being observed by human eye.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have utilised spectral vegetation indices (SVIs) from low-tomedium resolution satellite data to study bark beetle infestation. These studies have mainly focused on the last two infestation stages (red and grey) of attacks (Filchev, 2012b;Franklin et al, 2003;Hais et al, 2009;Havašová et al, 2015;Koch et al, 2010;Meddens et al, 2013;Wulder et al, 2006b). However, for effective and proper forest management, the detection of infestation should be early enough to allow for timely intervention to minimise the outbreak.…”

Section: Introductionmentioning

confidence: 99%

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Remote sensing of European spruce (lps typographus, L.) bark beetle green attack

Abdullah¹

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Sentinel‐2 accurately maps green‐attack stage of European spruce bark beetle (Ips typographus, L.) compared with Landsat‐8

Abdullah

Skidmore

Darvishzadeh

et al. 2018

Remote Sens Ecol Conserv

124

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Natural disturbances induced by insect outbreaks have increased in forest ecosystems over the past decades. To minimize economic loss and prevent a mass outbreak, early detection of bark beetle green attack -a period when trees have yet to show visual signs of infestation stress -is therefore crucial to effective and timely forest management. In this study, we evaluated the ability of spectral vegetation indices extracted from Landsat-8 and Sentinel-2 imagery to map bark beetle green attack using principal component analysis (PCA) and partial least square discriminate analysis (PLS-DA). A recent infestation map produced through visual interpretation of high-resolution aerial photographs validated the final infestation output maps. Leaf spectral measurements alongside total chlorophyll and nitrogen concentration, leaf water content and leaf dry matter content were measured to assess the impact of bark beetle green attack on foliar properties. We observed that the majority of spectral vegetation indices (SVIs) calculated from Sentinel-2, particularly red-edge dependent indices (NDRE 2 and 3) and water-related indices (SR-SWIR, NDWI, DSWI and LWCI), were able to discriminate healthy from infested plots. In contrast, only the water-related indices (NDWI, DSWI and RDI) from Landsat-8 were able to discriminate between healthy and infested plots efficiently. The total number of pixels identified as harboring a green attack that matched with ground truth data (aerial photography) was higher for Sentinel-2 (67%) than for Landsat-8 (36%) SVIs, indicating the elevated sensitivity of Sentinel-2 imagery to changes induced by bark beetle green attack. We also determined that foliar chlorophyll and leaf water content were significantly higher (P < 0.05) in healthy trees than in green-attacked trees. Our study highlights the potential of Sentinel-2 data for the early detection of bark beetle infestations and the production of reliable infestation maps at the green-attack stage.

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Applicability of a vegetation indices-based method to map bark beetle outbreaks in the High Tatra Mountains

Cited by 41 publications

References 39 publications

Space monitoring of the environment – an effective mechanism of forest protection

Space monitoring of the environment – an effective mechanism of forest protection

Remote sensing of European spruce (lps typographus, L.) bark beetle green attack

Sentinel‐2 accurately maps green‐attack stage of European spruce bark beetle (Ips typographus, L.) compared with Landsat‐8

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