
Remote Sensing of Environment, Год журнала: 2024, Номер 315, С. 114475 - 114475
Опубликована: Окт. 24, 2024
Язык: Английский
Remote Sensing of Environment, Год журнала: 2024, Номер 315, С. 114475 - 114475
Опубликована: Окт. 24, 2024
Язык: Английский
Forest Ecology and Management, Год журнала: 2024, Номер 556, С. 121595 - 121595
Опубликована: Фев. 16, 2024
Bark beetle disturbances increasingly threaten structure and functionality of temperate boreal forests globally. The early detection bark beetle-infested trees, i.e. before beetles' emergence from the breeding tree, is essential for an effective outbreak mitigation. Terrestrial control surveys as traditionally employed infestation detection, however, are resource-intensive approach their limits in difficult terrain during mass outbreaks. Developments remote sensing algorithms giving hope that early-infested trees will be detectable remotely, thereby improving success management efficacy. Yet, a comprehensive quantitative evaluation approaches currently being developed lacking to date. This review synthesises state-of-the-art recent research on (or green-attack) by sensing, places it context with underlying biological constraints, technical opportunities potential applications. Since each beetle-host tree system has specific characteristics detectability, we focus greatest impact European forests, spruce (Ips typographus), which attacks Norway (Picea abies). By screening published within period 2000–2022, included 26 studies our analyses. All reviewed were purely exploratory, testing variety data and/or classification relatively limited spatial temporal coverage. Among tested platforms sensor types, satellite multispectral imagery most frequently investigated. Promising spectral wavelength range or index highly varied among regions. Timeliness accuracy found insufficient efficient management, regardless platform, type, resolution applied. main reasons preventing better performance include rapid development I. typographus combination delayed variable vitality response crown, frequent cloud cover spruce-dominated regions across Europe. In conclusion, current survey methods cannot yet replace terrestrial timely management. Nevertheless, they might supportive either back-up regular surveys, situations, e.g. detect hibernation accessibility, extensively managed without sufficient capacity. We suggest term 'early detection' used consistently synonym 'pre-emergence avoid ambiguity. Finally, provide recommendations future based lessons learned analysed, namely use more rigorous targeted study design, ensure interdisciplinarity, communicate results explicitly.
Язык: Английский
Процитировано
21Natural hazards and earth system sciences, Год журнала: 2025, Номер 25(1), С. 77 - 117
Опубликована: Янв. 6, 2025
Abstract. Drought and heat events in Europe are becoming increasingly frequent due to human-induced climate change, impacting both human well-being ecosystem functioning. The intensity effects of these vary across the continent, making it crucial for decision-makers understand spatial variability drought impacts. Data on drought-related damage currently dispersed scientific publications, government reports, media outlets. This study consolidates data European forests from 2018 2022, using Europe-wide datasets including those related crown defoliation, insect damage, burnt forest areas, tree cover loss. data, covering 16 countries, were analysed four regions, northern, central, Alpine, southern, compared with a reference period 2010 2014. Findings reveal that all zones experienced reduced vitality elevated temperatures, varying severity. Central showed highest vulnerability, coniferous deciduous trees. southern zone, while affected by loss, demonstrated greater resilience, likely historical exposure. northern zone is experiencing emerging impacts less severely, possibly site-adapted boreal species, Alpine minimal impact, suggesting protective effect altitude. Key trends include (1) significant loss zones; (2) high levels despite 2021 being an average year, indicating lasting previous years; (3) notable challenges central Sweden bark beetle infestations; (4) no increase wildfire severity ongoing challenges. Based this assessment, we conclude (i) highly vulnerable heat, even resilient ecosystems at risk severe damage; (ii) tailored strategies essential mitigate change forests, incorporating regional differences resilience; (iii) effective management requires harmonised collection enhanced monitoring address future comprehensively.
Язык: Английский
Процитировано
11Frontiers in Forests and Global Change, Год журнала: 2025, Номер 8
Опубликована: Фев. 27, 2025
Introduction European forests face increasing threats from climate change-induced stressors, which create favorable conditions for bark beetle outbreaks. The most critical spruce forest pest in Europe is the Spruce Bark Beetle ( Ips typographus L.). Effective management of this beetles’ outbreaks necessitates timely detection recently attacked trees, challenging given difficulty identifying symptoms on infested tree crowns, especially over large areas. This study assessed detectability trees dominated areas (20–60 ha) using high-resolution drone multispectral imagery. Methods A sensor mounted an Unmanned Aerial Vehicle (UAV) was used to capture images investigated stands weekly during June 2023. These were compute reflectance all single derive vegetation indices, and then compare these between healthy ones. Results results showed that it possible separate spectral features final developmental stage first generation, despite limitations due difficulties image processing best performing indices included NDRE (Normalized Difference Red Edge index) GNDVI (Green Normalized Vegetation Index), allowed earlier separation trees. Discussion shows use UAV imagery can present some when early larger integration sensors focused narrower windows around Red-Edge Green bands other remote sensing methods (e.g., satellite imagery) could help overcome improve early-detection proposed approach will increase understanding factors consider with techniques. In particular, add insights upscaling spatial scales, providing useful guidance suffering
Язык: Английский
Процитировано
1ISPRS Journal of Photogrammetry and Remote Sensing, Год журнала: 2023, Номер 205, С. 352 - 366
Опубликована: Окт. 25, 2023
Forests are invaluable terrestrial ecosystems with considerable economic, ecological, and environmental benefits. Bark beetles have been recognized as one of the major causes forest disturbance, climate change can exacerbate their impact, leading to more tree mortality. Early detection bark beetle attacks is vital reduce loss devastating consequences. This study examines potential for early European spruce (Ips typographus L.) in southeastern Sweden using comprehensive harvester data time series Sentinel-2 images, 2015–2021. Specifically, it aims at 1) determining most pronounced wavelength bands vegetation indices (VIs) detection, 2) number attacked trees a pixel required enable 3) testing three approaches, Detecting Breakpoints Estimating Segments Trend (DBEST), Mean-Level-Shift (MLS), Cumulative Sum (CUSUM) investigate attacks. The greatest separation reflectance between healthy pixels, from first swarming peak (May 2018) till harvesting (April 2019), was observed SWIR1 (0.018) SWIR2 (0.011) followed by red-edge (0.008), red (0.007), NIR (0.005), green band (0.004). blue showed least (0.003). All VIs base level after this prominent NDRS an increase 0.14, NDWI (-0.13), CCI (-0.11) NDVI (-0.09), all decreasing values. responses relation increased gradually pixels having ten infested trees, strongest response 9 14 trees. Pixels including than did not show any further substantial VIs. DBEST, on average, indicated that infestation impact detectable month 15–31 days precision. MLS CUSUM up two months' accuracies were ranked next. superior performance compared NDWI. based smoothed influence noise missing cannot be directly applied near real-time method.
Язык: Английский
Процитировано
17Опубликована: Июль 26, 2023
Abstract. Drought and heat events are becoming more frequent in Europe due to human-induced climate change, affecting many aspects of human well-being ecosystem functioning. However, the intensity these drought is not spatially temporally uniform. Understanding spatial variability impacts important information for decision makers, supporting both planning preparations cope with changing climatic conditions. Currently, data relating damage caused by extended episodes scattered across languages sources such as scientific publications, governmental reports media. In this review paper, we compiled damages 2018 until 2022 forest ecosystems relate it large European sets, providing support making on regional levels. We partitioned from 16 countries following regions: Northern, Central, Alpine, South. focused forests, categorized them (1) physiological (2) pest, (3) fire damage. were able identify key trends: Relative defoliation rates broadleaves higher than conifers every country exception Czech Republic incidence wood destroyed insects extremely high Central Sweden Although fires can be related drought, they superimposed other anthropogenic influences (4) period (2018–2022), forests central particularly affected, while Northern Alpine zones less adaptations still observed Southern zone. (5) several regions 2021 was an average year levels indicating strong legacy effects 2018–2020. note that inventory should continuously updated new appear.
Язык: Английский
Процитировано
16Ecological Indicators, Год журнала: 2023, Номер 153, С. 110349 - 110349
Опубликована: Май 29, 2023
Bark beetles cause severe damage to European forests leading impacts on many sectors, from the environmental economical. Timely mapping of different stages an attack is very important. Remote sensing has been widely used map bark beetle using both airborne and satellite data. Newly available multispectral data with a daily revisit time high spatial resolution potential monitor in all its phases. This study explores spectral separability infestation Planet imagery at individual tree level. Multi-temporal analysis 78 trees spruce was carried out. Bands vegetation indexes derived 42 images were compared eleven field surveys over span approximately four months. The done considering three criteria exploring: 1) significance differences, 2) magnitude differences 3) supervised classification context. reported effects depending season - spring vs. summer. Spectral bands extracted healthy red-stage significantly different. Trees green-attack stage end summer showed statistically significant difference trees. measured classifier that it possible separate healthy, accuracy values (kappa above 0.9).
Язык: Английский
Процитировано
13IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Год журнала: 2023, Номер 16, С. 10050 - 10066
Опубликована: Янв. 1, 2023
Recent long spells of high temperatures and drought-hit summers have fostered the conditions for an unprecedented outbreak bark beetles in Europe. This phenomenon has ruined vast swathes European conifer forests creating a need amongst forest managers to find effective methods gather information about mapping beetle infestation hotspots. Sentinel-2 data been recently established as alternative field surveys certain inventory tasks. Hence, this study explores achievements machine learning perform hotspots images. In particular, we investigate accuracy performance spectral classifier that is learned task by leveraging vegetation indices performing self-training. We use dataset images acquired non-overlapping scenes from North-east France October 2018. The selected host different sizes, which originate mass reproduction 2018 infestation. stage accounting ground truth masks subset imagery (training set). goal produce prediction remaining (working Moreover, eXplainable Artificial Intelligence technique relevance explain effect both self-training on decisions.
Язык: Английский
Процитировано
10Frontiers in Forests and Global Change, Год журнала: 2024, Номер 7
Опубликована: Июнь 11, 2024
Introduction European forests face increasing threats due to climate change-induced stressors, which create the perfect conditions for bark beetle outbreaks. The most important spruce forest pest in Europe is Spruce Bark Beetle ( Ips typographus L.). Effective management of I. outbreaks necessitates timely detection recently attacked trees, challenging given difficulty spotting symptoms on infested tree crowns. population density one many factors that can affect infestation rate and development. This study compares appearance early endemic epidemic populations using highresolution Unmanned Aerial Vehicles (UAV) multispectral imagery. Methods In spring 2022, host colonization by beetles was induced groups trees growing 10 sites Southern Alps, characterized different (5 5 endemic). A sensor mounted a drone captured images once every 2 weeks, from May August 2022. analyses set vegetational indices allowed actual trees’ reflectance features be observed at each site, comparing them with those unattacked trees. Results show high triggers more rapid intense response regarding emergence symptoms. Infested were detected least 1 month before became evident human eye (red phase) sites, while this not possible sites. Key performing vegetation included NDVI (Normalized Difference Vegetation Index), SAVI (Soil Adjust Index, correction factor 0.44), NDRE Red Edge index). Discussion early-detection approach could allow automatic diagnosis beetles’ infestations provide useful guidance areas suffering
Язык: Английский
Процитировано
4Forest Ecology and Management, Год журнала: 2022, Номер 528, С. 120626 - 120626
Опубликована: Ноя. 14, 2022
Язык: Английский
Процитировано
15Forest Ecology and Management, Год журнала: 2023, Номер 547, С. 121400 - 121400
Опубликована: Сен. 7, 2023
Язык: Английский
Процитировано
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