Red-edge vegetation indices for detecting and assessing disturbances in Norway spruce dominated mountain forests

Adamczyk, Joanna; Osberger, Antonia

doi:10.1016/j.jag.2014.10.013

Cited by 31 publications

(21 citation statements)

References 19 publications

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“…The bark beetle infestation correlates, among others, with the changes in the greenness and leaf pigments concentration (Lausch et al, 2013). Based on the previous works (Tuominen et al, 2009;Ortiz et al, 2013;Adamczyk and Osberger, 2015), suitable vegetation indices have been selected to detect tree stress with respect to the spectral sensibility of the camera (Table 1).…”

Section: Photogrammetric Processingmentioning

confidence: 99%

“…Consequently, remote sensing technologies are widely applied for non-invasive mapping of forest disturbance by pest insects. Multi-temporal medium or low resolution satellite datasets like Landsat (TM/ETM+) and SPOT (Hais et al, 2009;Latifi et al, 2014), Colour-Infrared (CIR) images captured by manned aircraft (Heurich et al, 2010), TerraSAR-X and RapidEye data (Ortiz et al, 2013;Adamczyk and Osberger, 2015), or airborne pushbroom imagining radiometer (Campbell et al, 2004) have been used for monitoring of disturbances by bark beetle infestation. However, conventional remote sensing (RS) methods are not always appropriate for monitoring forest disturbance dynamics particularly in the case of rapid calamity mapping of small privately owned forest stands due to a high operating cost or limited spatial and temporal image data (Chambers et.…”

Section: Introductionmentioning

confidence: 99%

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Use of a Multispectral Uav Photogrammetry for Detection and Tracking of Forest Disturbance Dynamics

Minařík¹,

Langhammer²

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This study presents a new methodological approach for assessment of spatial and qualitative aspects of forest disturbance based on the use of multispectral imaging camera with the UAV photogrammetry. We have used the miniaturized multispectral sensor Tetracam Micro Multiple Camera Array (µ-MCA) Snap 6 with the multirotor imaging platform to get multispectral imagery with high spatial resolution. The study area is located in the Sumava Mountains, Central Europe, heavily affected by windstorms, followed by extensive and repeated bark beetle (Ips typographus [L.]) outbreaks in the past 20 years. After two decades, there is apparent continuous spread of forest disturbance as well as rapid regeneration of forest vegetation, related with changes in species and their diversity. For testing of suggested methodology, we have launched imaging campaign in experimental site under various stages of forest disturbance and regeneration. The imagery of high spatial and spectral resolution enabled to analyse the inner structure and dynamics of the processes. The most informative bands for tree stress detection caused by bark beetle infestation are band 2 (650nm) and band 3 (700nm), followed by band 4 (800 nm) from the, red-edge and NIR part of the spectrum. We have identified only three indices, which seems to be able to correctly detect different forest disturbance categories in the complex conditions of mixture of categories. These are Normalized Difference Vegetation Index (NDVI), Simple 800/650 Ratio Pigment specific simple ratio B1 and Red-edge Index.

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Section: Photogrammetric Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Use of a Multispectral Uav Photogrammetry for Detection and Tracking of Forest Disturbance Dynamics

Minařík¹,

Langhammer²

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Red-edge bands have proven their suitability for agricultural applications 6 ; land use classification 7 ; and forest monitoring 8 . In addition several research works 9,10,11 have shown their usefulness for burn severity discrimination.…”

Section: Introductionmentioning

confidence: 99%

Using Unmanned Aerial Vehicles (UAV) for forest damage monitoring in south-western Europe

Pérez-Rodríguez

Quintano

García-Llamas

et al. 2019

Imaging Spectrometry XXIII: Applications, Sensors, and Processing

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“…Adamczyk and Osberger (2014) use information layers to characterize forest disturbances in mountain forest habitats.…”

Section: This Special Issue: Extending Satellite Earth Observation Camentioning

confidence: 99%

Earth observation for habitat mapping and biodiversity monitoring

Lang

Mairota

Pernkopf

et al. 2015

International Journal of Applied Earth Observation and Geoinfor

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Red-edge vegetation indices for detecting and assessing disturbances in Norway spruce dominated mountain forests

Cited by 31 publications

References 19 publications

Use of a Multispectral Uav Photogrammetry for Detection and Tracking of Forest Disturbance Dynamics

Use of a Multispectral Uav Photogrammetry for Detection and Tracking of Forest Disturbance Dynamics

Using Unmanned Aerial Vehicles (UAV) for forest damage monitoring in south-western Europe

Earth observation for habitat mapping and biodiversity monitoring

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