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Article
Biodiversity Conservation
Marc Gruenig et al.
Summary: Area burned in Europe has decreased but may reverse due to climate change, especially in temperate and boreal forests. A study using remote sensing data of 64,448 fire events between 1986 and 2020 shows a power-law relationship between maximum fire size and area burned, and a positive correlation between vapor pressure deficit and fire severity. Climate change could double the probability of extreme fires by the end of the century, posing challenges to fire management and forest ecosystem services.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Ecology
Xin Zong et al.
Summary: This study demonstrates the use of three-dimensional cumulative viewshed in studying animal spatial behavior at a landscape level. The researchers utilized a combined terrestrial and airborne LiDAR technique to measure fine-scale habitat visibility in forested landscapes. The findings reveal the red deer's preference for intermediate habitat visibility and their adaptation of movement rate to fine-scale visibility. This research provides valuable insights into the influence of visibility on animal behavior and highlights the potential of LiDAR in animal ecology and behavior studies.
JOURNAL OF ANIMAL ECOLOGY
(2023)
Article
Ecology
Adria Descals et al.
Summary: Heatwaves and droughts in Europe are causing tree mortality and widespread early leaf shedding, which is linked to high temperatures and arid conditions. This study demonstrates the use of high-resolution satellite data to monitor the impacts of extreme climate events on forests and highlights the widespread and frequent occurrence of early leaf shedding associated with heatwaves and droughts across the continent.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2023)
Review
Forestry
Fabian Ewald Fassnacht et al.
Summary: Remote sensing technology is widely used in forestry and there are notable regional differences in its adoption into operational forest inventory and monitoring programs. This article highlights key challenges to increase the acceptance and integration of remote sensing data, including user uptake, technical challenges, and map validation. Recommendations include learning from successful cases, addressing real-world problems, and developing best practices for validation. The article also provides information on the use of remote sensing in forest inventory and monitoring and suggests areas for further investigation.
Article
Ecology
Lukas Drag et al.
Summary: Climate, topography, and forest structure play important roles in shaping local species communities, but little is known about how environmental characteristics affect the functional traits of wood-living beetles involved in wood recycling. In this study, we used ecological and morphological traits of saproxylic beetles and airborne laser scanning data to investigate the factors driving the distributions of over 230 species in European temperate forests. We found that elevation and the proportion of conifers were important factors determining species occurrences, while habitat heterogeneity and forest complexity had less influence. Ecological traits, such as canopy niche, wood decay niche, and host preference, were found to be more important in shaping species responses to forest structure and environmental variation, while morphological traits showed little association with environmental characteristics. These findings highlight the potential impacts of climate and tree species composition changes on saproxylic beetle communities, and the importance of ecological traits in predicting species responses to future environmental change.
FUNCTIONAL ECOLOGY
(2023)
Article
Geography, Physical
Simon Koenig et al.
Summary: Bark beetle infestations are a significant forest disturbance agent that has been increasing in frequency and affected areas due to global climate change. This study demonstrates the potential of using multi-sensor time series data from Landsat and Sentinel satellites to detect and monitor bark beetle infestations, with Sentinel-2 providing the best overall results.
GISCIENCE & REMOTE SENSING
(2023)
Article
Environmental Sciences
Manizheh Rajab Pourrahmati et al.
Summary: The GEDI LiDAR system is an effective tool for estimating forest biophysical parameters, particularly canopy height, at a global scale. This study found that GEDI canopy height estimation is more accurate for needleleaf forests compared to broadleaf and mixed forests. The study also identified the impact of foliage condition and plant area index on GEDI canopy height accuracy, suggesting the importance of filtering GEDI data based on seasonal acquisition time for specific forest types.
Article
Environmental Sciences
Patrick Kacic et al.
Summary: Monitoring forest conditions is crucial for preserving biodiversity, protecting carbon sinks, and promoting forest resilience in the face of global climate change. The semi-natural forests in Germany are facing severe challenges, such as insect infestation, due to the impacts of heatwaves and droughts. This study demonstrates the potential of using remote sensing sensors to generate comprehensive forest structure products for Germany, providing valuable information on recent forest conditions and supporting a better understanding of post-disturbance forest structure and resilience.
Article
Ecology
Lisa Mandl et al.
Summary: The launch of NASA's GEDI mission in 2018 provides new opportunities for describing forest ecosystems across large scales. The study quantified GEDI's potential to estimate forest structure in mountain landscapes and found a high agreement between GEDI and ALS at the landscape level. The research highlights the importance of GEDI for ecosystem dynamics and management.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2023)
Article
Biodiversity Conservation
Michele Dalponte et al.
Summary: This study explores the spectral separability of different stages of spruce bark beetle infestation using Planet imagery at individual tree level. The results show that there are significant differences in spectral bands and indexes between healthy trees and those in the red-stage of infestation, as well as between healthy trees and those in the green-attack stage at the end of the summer.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Guido Ceccherini et al.
Summary: We evaluate the effectiveness of European Protected Areas in conserving the vertical structure of forests using data from the Global Ecosystem Dynamics Investigation. Our findings show that European forests inside protected areas are on average 2m taller and more complex in vertical structure compared to nearby unprotected areas. Furthermore, forests outside protected areas exhibit greater variations in canopy height, likely due to forest management practices.
COMMUNICATIONS EARTH & ENVIRONMENT
(2023)
Article
Agronomy
Niklas Hase et al.
Summary: This study reveals a strong correlation between near-infrared reflectance of vegetation (NIRV) and gross primary production (GPP) across different ecosystems and temporal scales. The decline of NIRV is mainly driven by the decline of near-infrared (NIR) canopy reflectance (RNIR), while normalized difference vegetation index (NDVI) remains saturated. Changes in leaf area, leaf optical properties, canopy structure, sun-sensor geometry, or understory vegetation can explain the decline in NIRV.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Forestry
Johannes Breidenbach et al.
Summary: Using satellite-based maps and National Forest Inventory observations, this study finds that the ability of the maps to detect harvested areas abruptly increased after 2015 in Finland and Sweden, rather than the actual harvested area.
ANNALS OF FOREST SCIENCE
(2022)
Article
Forestry
Thomas Gschwantner et al.
Summary: Wood resources have been essential for human welfare throughout history, and growing stock is a key forest attribute monitored by National Forest Inventories. The origins of forest inventories date back to times of wood shortage in Europe, leading to the exploration and planning of wood utilization. Over time, forest surveys have evolved to cover larger areas, with modern NFIs assessing a multitude of variables related to sustainable forest management.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Article
Ecology
Cornelius Senf et al.
Summary: This study analyzed the resilience of Europe's forests using satellite-based indicators and found that, on average, forests in Europe recover to pre-disturbance levels within 30 years. The resilience of Europe's forests to disturbances is high, with recovery being over 10 times faster than disturbance on most of the forest area. However, 14% of Europe's forests have low or critical resilience, with disturbances occurring as fast or faster than forest canopy can recover.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2022)
Article
Geosciences, Multidisciplinary
Sonja Szymczak et al.
Summary: A user-friendly GIS tool has been developed to detect individual trees along railway lines and estimate the hazard of tree fall. The tool has been tested and applied successfully in two federal states in Germany.
Article
Plant Sciences
E. West et al.
Summary: This study used satellite data from MODIS, Landsat, and Sentinel-2 to observe the changes in European beech forest canopy health during intense droughts in the Rhon Biosphere Reserve, central Germany in 2003 and 2018. The results showed that Sentinel-2 data provided a detailed understanding of canopy-level impacts at the spatial scale, while MODIS data offered the clearest temporal progression of the drought's impacts. It was also found that low NDVI values in August were associated with SPEI values below -1.5, highlighting the sensitivity of canopy impact detection to the timing of image acquisition.
Article
Forestry
Gerhard Schmied et al.
Summary: Due to high productivity and past management approaches, the forests of Central Europe are dominated by conifers, even in areas where they are not naturally occurring. The vulnerability of Norway spruce to severe droughts and the lack of knowledge about how management strategies affect tree growth and drought responses emphasize the importance of this study. It found that the individual treatment history of a tree significantly influences its growth and drought resilience, with factors such as structural diversity, tree size, and thinning intensity playing a role.
Article
Environmental Sciences
Frank Thonfeld et al.
Summary: Central Europe experienced several severe droughts and heatwaves between 2018 and 2020, leading to significant impacts on forest ecosystems. In Germany, bark beetle infestations compounded the damage, resulting in extensive forest loss. This study utilized dense time-series data from Sentinel-2 and Landsat-8 to assess canopy cover loss in Germany from January 2018 to April 2021. The results revealed a total loss of 501,000 hectares, with varying levels of impact across different regions.
Article
Forestry
Mirela Beloiu et al.
Summary: Forests worldwide are increasingly exposed to extreme weather events, particularly drought. Drought has detrimental effects on forest health and functioning, leading to decreased diversity, productivity, and tree mortality. This study assessed the impact of drought on saplings of deciduous tree species and found that saplings have a remarkable capacity to recover from drought and survive subsequent droughts. The study also revealed species-specific responses to drought and highlighted the importance of site conditions, species diversity, and winter precipitation as indicators of tree health.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Article
Environmental Sciences
Janik Hoffmann et al.
Summary: The study aims to develop a robust method for spatially explicit modeling of biodiversity variables in temperate forests using open-access satellite data and deep learning models. By combining field data and satellite images, the researchers successfully predicted tree diameter variation but achieved lower accuracy in species diversity. The results demonstrate the potential of deep learning and satellite remote sensing in predicting forest parameters across various environmental and management gradients.
Article
Plant Sciences
Anne Gnilke et al.
Summary: Capturing forest disturbances over time is crucial for ecosystem recovery and providing timely information to foresters. Large satellite imagery spanning more than two decades represents a valuable data source, but challenges exist in obtaining reliable information and standardizing processing routines. This study investigates forest disturbances using ground validated occurrences in Germany and proposes a workflow based on MODIS EVI time series data.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Environmental Sciences
Oldrich Rakovec et al.
Summary: This study provides a comprehensive assessment of drought hazard in Europe from 2018 to 2020 by comparing it to past exceptional events. The 2018-2020 drought event is identified as unprecedented, with a large coverage area and long duration. The study also highlights the impact of global warming on drought events and predicts that Europe should be prepared for even more severe and longer-lasting drought events in the future.
Article
Ecology
Jeannine Cavender-Bares et al.
Summary: This Perspective discusses the importance of integrating remote sensing with field-based ecology and evolution to fully understand and preserve Earth's biodiversity. The inclusive integration of data collected through different methods can benefit conservation efforts and advance biodiversity science.
NATURE ECOLOGY & EVOLUTION
(2022)
Article
Agronomy
Nataliya Korolyova et al.
Summary: Plant traits are important in determining allocation of resources and survival dynamics in trees. This study investigated the survival of Norway spruce during a bark beetle outbreak and found that tree size, crown morphology, competition, and water balance all influenced tree survival. Larger diameter trees were more susceptible to bark beetles, competition had a negative effect on survival, and trees with extensive crowns were more resilient to beetle attacks. The outbreak, occurring during a warming trend and arid conditions, highlighted the potential intensification of bark beetle activity due to climate change.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Karola Anna Barta et al.
Summary: The increasing frequency of forest disturbances caused by climate change has highlighted the importance of understanding the entire process of disturbance, from its onset to forest recovery. This study aimed to detect the main features of forest disturbance and subsequent recovery using thermal Landsat imagery, and determine the relationship between thermal features and topography. The study area was a Norway spruce dominated forest in a Central European border region. The results showed that thermal infrared imagery can provide highly relevant data for assessing forest disturbance and recovery, as well as bio-climatic canopy functions in terms of topography and other environmental variables.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Forestry
Balazs Garamszegi et al.
Summary: Windstorms have a significant impact on managed forests, and modeling approaches using spaceborne remote sensing can be used to assess disturbance risk. This study explores the use of spaceborne imagery and recorded damage polygons to develop proxy predictors for wind disturbance modeling. The results show the potential of derived spaceborne variables as proxy variables for critical forest attributes, and these variables outperformed other spatial data products in modeling disturbance occurrence and severity. While the model accuracies were moderate, the study highlights the further potential of spaceborne imagery applications in disturbance modeling and assessment.
Article
Forestry
Philipp Kaiser et al.
Summary: This paper presents the use of multitemporal Sentinel-1 synthetic aperture radar (SAR) data to detect drought-affected and fire-endangered forest stands with high spatial and temporal resolution. The authors developed a novel Sentinel-1 Radar Drought Index (RDI) to reduce speckle noise and created a spatially explicit detection map of drought-affected forest stands in the Donnersberg study area in Germany. The results showed a significant correlation between RDI values and monthly mean temperatures, indicating the potential of Sentinel-1 data for timely detection of drought-affected and fire-prone forest areas.
Review
Environmental Sciences
Patrick Kacic et al.
Summary: Forests are vital for global environmental well-being, but they face increasing pressure from climate change, resource extraction, and human disturbances. Remote sensing technology offers a promising method for monitoring forest biodiversity at large scales. This review focuses on the application of remote sensing technology in forest biodiversity monitoring and analyzes its spatial-temporal distribution, sensors used, temporal scales, and thematic foci.
Article
Environmental Sciences
Marlin M. Mueller et al.
Summary: Forests' ecosystems play a crucial role in the global carbon cycle and are currently facing increasing pressures and changes due to climate change. Understanding the biophysical properties of forests is important for research and monitoring purposes. This study analyzed the connection between C-band Copernicus Sentinel-1 SAR backscatter and evapotranspiration estimates in coniferous forests, finding that the backscatter signal is sensitive to evapotranspiration.
Article
Computer Science, Artificial Intelligence
Maximilian Freudenberg et al.
Summary: We propose a deep learning-based framework for individual tree crown delineation in aerial and satellite images. The method creates irregular polygons for tree crown delineation instead of bounding boxes and provides a tree cover mask for areas that are not separable. It is trainable with low amounts of training data and does not require 3D height information. The results show that the approach can efficiently delineate individual tree crowns in high-resolution optical images.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Plant Sciences
Markus Muenzinger et al.
Summary: This paper presents a GIS workflow for classifying urban forests from LiDAR point clouds, detecting and reconstructing individual tree crowns, and representing them within semantic 3D city models. The evaluation of the workflow in Dresden, Germany achieved a classification accuracy of 95%. The paper also introduces an approach for parameterized reconstruction of tree crowns and demonstrates the suitability of LiDAR for measuring individual tree metrics.
URBAN FORESTRY & URBAN GREENING
(2022)
Article
Environmental Sciences
Torsten Welle et al.
Summary: Having knowledge about the distribution of tree species at a national scale is beneficial for forest management practices and decision making regarding the selection of suitable tree species for specific locations. The accurate identification of tree species in relation to their locations enables assessments of their resilience or vulnerability to various factors. This study used data from the national forest inventory in Germany to develop a machine-learning approach that classified a dense time series of satellite imagery, resulting in a map showing the dominant tree species in German forests. The accuracy of the model was validated through tests and comparisons with independent forest stand inventories and statistics from the national forest inventory.
Review
Environmental Sciences
Simon Ecke et al.
Summary: Recent technological advances have led to an increasing use of unmanned aerial vehicles (UAVs) for forestry applications, particularly in the field of forest health monitoring (FHM). While UAVs offer advantages such as flexibility and high spatial resolution, there are still challenges that need to be addressed, including the need for long-term and multi-temporal forest monitoring, increased use of hyperspectral and LiDAR sensors, better utilization of complementary data from other remote sensing sources, standardized workflows, improved interpretability of complex machine learning algorithms, and a reduced reliance on commercial software.
Review
Environmental Sciences
Duccio Rocchini et al.
Summary: This paper reviews the spectral species concept and discusses the complexities, challenges, and opportunities to apply this concept given current and future scientific advances in remote sensing.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2022)
Review
Ecology
Duccio Rocchini et al.
Summary: Given the unprecedented global changes in biodiversity, it is crucial to have real-time and accurate ecosystem and biodiversity assessments to inform policies and sustainable development. Biodiversity monitoring is particularly challenging for large areas like entire continents, but spaceborne and airborne sensors have provided us with information that cannot be seen by the human eye and at unprecedented spatial resolutions. Through different modeling techniques, it is now possible to study the changes in functional diversity at different scales. This paper aims to summarize the power of remote sensing in directly estimating plant species diversity, with a focus on the concept of spectral species.
Article
Environmental Sciences
Jakob Wernicke et al.
Summary: Knowledge about the forest canopy stratification is crucial for forest management, and remote sensing techniques, such as LiDAR and Sentinel-2, show great potential for differentiating forest strata. This study examined the classification abilities of six approaches using fused and unfused LiDAR and Sentinel-2 metrics for classifying five forest strata in Central Germany. The Random Forest classifier achieved the highest accuracy, and the importance of certain LiDAR metrics in the classification process was identified. The classification solely based on Sentinel-2 metrics had a lower overall accuracy.
REMOTE SENSING OF ENVIRONMENT
(2022)
Proceedings Paper
Geography, Physical
S. Dersch et al.
Summary: In this study, a novel tree detection method based on DETR is proposed for effectively detecting mixed and deciduous trees. DETR outperforms YOLOv4 by 28% and 5% in mixed and deciduous plots, respectively, but is inferior in coniferous plots.
XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II
(2022)
Proceedings Paper
Geography, Physical
Dennis Wittich et al.
Summary: This paper presents an approach for early detection of forest damages by training a Convolutional Neural Network (CNN) to predict the remaining life-time (RLT) of trees based on Sentinel-2 imagery. The method compensates for data imbalance and data gaps using sub-sampling and a new loss function. Experimental results show that the proposed approach significantly reduces training time and predicts the RLT with a maximum error of two months for 80% of the forest pixels that die within a year.
XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II
(2022)
Proceedings Paper
Geography, Physical
L. Kemper et al.
Summary: Monitoring environmental phenomena with remotely captured data is increasingly important. Observing midge infestation and bark beetle invasion can provide insights into their impact on the ecosystem, and multispectral or hyperspectral data captured by aircrafts or UAVs can assist in this observation.
XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III
(2022)
Article
Environmental Sciences
Bruno Montibeller et al.
Summary: This study analyzed the monthly trends in gross primary productivity and evapotranspiration in undisturbed core forest areas in Europe. The results showed that increases in productivity during spring and autumn led to improved water-use efficiency, but these increases were not enough to compensate for decreases in summer. Overall, around 20% of forest areas exhibited a net decrease in productivity during summer.
COMMUNICATIONS EARTH & ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Hannah Weiser et al.
Summary: This article describes the use of laser scanning from different acquisition platforms to collect 3D point clouds from various perspectives and resolutions. The researchers conducted airborne, unmanned aerial vehicle (UAV)-borne, and terrestrial laser scanning in German mixed forests and provided georeferenced point clouds and tree metrics. The dataset can be used for creating 3D tree models, fitting allometric equations, and as a benchmark for algorithms and machine learning tasks.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Geochemistry & Geophysics
Leonidas Alagialoglou et al.
Summary: Global-scale canopy height mapping is crucial for monitoring ecosystems and managing forests sustainably. By utilizing multitemporal information of image sequences, this study achieves improved estimation accuracy for canopy height.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Ecology
Johannes Heisig et al.
Summary: Climate change leads to extreme droughts and heat waves in Central Europe, which affect vegetative fuels and alter the local fire regime. To address this issue, local forest management needs to quantify fire hazards through a comprehensive workflow. This study presents a method for quantifying fuels and wildfire hazard using fire spread simulations, with a focus on a managed temperate forest in Northern Germany.
Article
Environmental Sciences
Jakob Wernicke et al.
Summary: This study investigated the potential of using LiDAR and Sentinel-2 metrics for forest canopy classification, and found that the Random Forest classifier most accurately separated the five forest strata, highlighting the important contribution of LiDAR metrics to classification accuracy.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geography, Physical
Abebe Mohammed Ali et al.
Summary: The study compared the use of radiative transfer model inversion and machine learning algorithms to predict plant traits in a forest, showing that machine learning methods had similar accuracy and robustness to the radiative transfer model inversion.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2021)
Article
Green & Sustainable Science & Technology
Cornelius Senf et al.
Summary: Changes in forest disturbance can have significant impacts on forests, with this study finding that 17% of Europe's forest area was affected by approximately 36 million disturbances between 1986 and 2016. The majority of disturbances were stand-replacing, and while disturbance size trends varied, disturbance frequency consistently increased while disturbance severity decreased over time. The study provides valuable spatial information for understanding the ongoing changes in Europe's forests.
NATURE SUSTAINABILITY
(2021)
Article
Biodiversity Conservation
Brigitte Rohner et al.
Summary: The study investigated the impact of a severe 2018 summer drought on beech trees in the Swiss National Forest Inventory, finding that affected trees suffered significant losses in growth and carbon sequestration, which partially recovered in 2019. Since the standard forest health assessment methods were unable to capture these effects, the authors suggest opportunities for adapting the assessment design to better reflect the impacts of climate change.
ECOLOGICAL INDICATORS
(2021)
Article
Biodiversity Conservation
Stef Haesen et al.
Summary: Ecological research often uses coarse-gridded climate data based on standardized temperature measurements, which may not accurately represent forest microclimates. A study in Europe found significant differences between sub-canopy and free-air temperatures, with sub-canopy air temperatures averaging 2.1 degrees Celsius lower in summer and 2.0 degrees Celsius higher in winter. High-resolution forest sub-canopy temperature maps could improve modeling of biological processes and species distributions in the future.
GLOBAL CHANGE BIOLOGY
(2021)
Article
Environmental Sciences
Alena Dostalova et al.
Summary: The constellation of two Sentinel-1 satellites offers unprecedented SAR data coverage with high spatial and temporal resolution, showing potential for forest mapping and classification at a continental scale in Europe.
Article
Environmental Sciences
Kazi Rifat Ahmed et al.
Summary: The combined heatwave and drought in 2018 significantly impacted European ecosystems, with ecosystem evapotranspiration strongly reduced in areas with extreme anomalies in temperature, precipitation, and evapotranspiration. Northern and Eastern Europe experienced prolonged anomalies in temperature, precipitation, and evapotranspiration, particularly affecting agricultural areas, mixed natural vegetation, and non-irrigated agricultural areas. The study highlights contrasting drought impacts on ecosystem evapotranspiration between different regions in Europe.
Article
Environmental Sciences
Ronny Richter et al.
Summary: The study found that different tree species have varying effects on canopy air temperature in an urban floodplain forest, with interspecific differences ranging up to 4 degrees Celsius and varying temporally and spatially. Satellite-derived LST products are recommended for operational use in detecting and monitoring tree species effects on temperature regulation at the crown scale.
Article
Ecology
Duccio Rocchini et al.
Summary: Real-time and accurate ecosystem and biodiversity assessments are crucial in the face of unprecedented changes in global biodiversity. Utilizing remote sensing and spectral information can provide an efficient way to estimate biodiversity, allowing for a faster and more reliable assessment in large areas.
ECOLOGICAL INFORMATICS
(2021)
Article
Forestry
Marina Palmero-Iniesta et al.
Summary: Forest area in Europe has increased by 1.4%, mainly due to forest expansion into former agricultural areas, particularly in Mediterranean and temperate regions. However, regeneration has dominated in boreal areas. Local drivers such as forest area and land cover diversity in 1992 have influenced the recent forest expansion.
EUROPEAN JOURNAL OF FOREST RESEARCH
(2021)
Article
Forestry
Maximilian Axer et al.
Summary: The study analyzed natural oak regeneration in coniferous stands and found that the highest regeneration densities were not necessarily closest to the seed source, but rather at distances between 60 and 140 meters away, demonstrating the importance of dispersal distance in oak regeneration in forest conversion.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Environmental Sciences
Marinela Adriana Chetan et al.
Summary: The majority of Natura 2000 sites in the European Union are still 'favourable' in terms of natural land cover range and areas, but are showing a trend towards 'unfavourable' status regarding landscape structure. Many sites are experiencing a net loss of dominant land cover type and degradation of landscape, leading to an 'unfavourable' conservation status.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Environmental Sciences
Jan Hemmerling et al.
Summary: Utilizing Sentinel-2 time-series based approach shows potential for mapping tree species in temperate forests, but also faces challenges in accurately classifying a diverse range of species. Addition of environmental variables and texture metrics only marginally improves classification accuracy for minor tree species. Mapping minor tree species is particularly challenging due to statistical reasons such as class imbalance and small sample size.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Kathrin Einzmann et al.
Summary: Early detection of vitality changes in trees under stress can be achieved using hyperspectral remote sensing. By combining field monitoring and airborne remote sensing data, differences in spectral changes between older and well-maintained forests can be detected in advance.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Peter Potapov et al.
Summary: The study utilized GEDI and Landsat data to create a global forest canopy height map, enabling monitoring of forest height and dynamics. The integration of GEDI data with optical imagery demonstrated in the study provides new possibilities for historical analysis and future monitoring.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Mariana Madruga de Brito
Summary: The study introduces a novel method for quantifying drought compound impacts and their cascading paths using network analysis and data mining tools. Findings from the case study of the 2018/19 drought in Germany suggest that drought impacts may not occur by chance but follow a pattern, with statistically significant co-occurrence associations outnumbering randomly distributed ones. The research highlights the importance of considering the compounding and cascading effects of drought impacts and emphasizes the need to move towards understanding how multi-sectoral impacts are interconnected.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Chemistry, Analytical
Elia Vangi et al.
Summary: Different forest types may have similar spectral signatures when observed with traditional multispectral satellite sensors, but can be better discriminated using hyperspectral imagery. The new PRISMA sensor has shown improved performance in forest type discrimination, especially with increasing complexity of the nomenclature system.
Article
Multidisciplinary Sciences
Giovanni Forzieri et al.
Summary: This study quantifies European forest vulnerability to fires, windthrows, and insect outbreaks from 1979 to 2018 using machine learning, disturbance data, and satellite products. Results show that about 33.4 billion tonnes of forest biomass could be seriously affected, with higher relative losses in windthrows and fires compared to insect outbreaks. The spatial pattern of vulnerability is influenced by forest characteristics and background climate, with hotspot regions identified at the borders of the climate envelope in southern and northern Europe.
NATURE COMMUNICATIONS
(2021)
Article
Environmental Sciences
Florian M. Hellwig et al.
Summary: This study investigates the early detection of spruce infestation by bark beetles using hyperspectral data, showing a new index with high accuracy and ability to detect more infested spruces. The index demonstrates great potential in the red-edge domain for distinguishing infested spruces at an early stage, with applications in forest preservation strategies.
Article
Environmental Sciences
Lars Uphus et al.
Summary: This study investigated the impact of climate change on spring phenology of European beech trees in forests in Bavaria, Germany. The results showed that as canopy temperature increased, the leaf unfolding of overstory Fagus sylvatica advanced, leading to an increased vertical phenological mismatch with the understory. This may have ecological effects and methodological consequences for remote sensing.
Article
Plant Sciences
Allan Buras et al.
Summary: Forest decline due to climate change, particularly hotter droughts, floods, late-frost, and storms, has led to an increase in tree mortality rates globally. Despite numerous studies on predisposing factors for tree mortality, there is still a lack of understanding on underlying eco-physiological mechanisms, the influence of varying environmental conditions, and species-specific strategies to cope with prolonged environmental stress. The introduction of remote-sensing tools like the European Forest Condition monitor (EFCM) provides a promising avenue for studying forest performance within larger networks by assessing tree vitality in near real-time across large regions.
FRONTIERS IN PLANT SCIENCE
(2021)
Review
Forestry
Chiara Torresan et al.
Summary: Climate-smart forestry is a new branch of sustainable adaptive forest management that focuses on enhancing forests' ability to adapt to and mitigate climate change. It relies on a comprehensive network of sensors and real-time monitoring data to improve monitoring accuracy and engage more stakeholders in data collection.
CANADIAN JOURNAL OF FOREST RESEARCH
(2021)
Article
Biodiversity Conservation
Cornelius Senf et al.
Summary: Abiotic forest disturbances caused by storms and fires are important drivers of ecosystem dynamics in Europe, with storms being more prevalent in western and central Europe, and fires more common in southern and southeastern Europe. The area and frequency of storm-related disturbances have been increasing over time, while no clear trend is observed for fire-related disturbances.
GLOBAL CHANGE BIOLOGY
(2021)
Article
Environmental Sciences
Michael Steffen et al.
Summary: The study developed a GIS-based method using high-resolution airborne LiDAR data and RGBI orthoimage data to identify and parameterize individual trees, aiming to detect trees that may pose a threat to road infrastructure and users.
JOURNAL OF APPLIED REMOTE SENSING
(2021)
Letter
Multidisciplinary Sciences
Iddo K. Wernick et al.
Letter
Multidisciplinary Sciences
Marc Palahi et al.
Article
Environmental Sciences
Marius Philipp et al.
Summary: This study explores the potential of satellite data combined with harmonic analyses in quantifying vegetation response to drought events in German forests. Harmonic modelling technique shows highest correlation scores at the 6th harmonic degree, especially with soil moisture and the self-calibrated Palmer Drought Severity Index (scPDSI). MODIS imagery with NDVI generates the best results for measuring spectral response to drought conditions.
Article
Agronomy
Nora Obladen et al.
Summary: Anthropogenic climate change is pushing forest ecosystems beyond their limits globally, with widespread forest die-off events attributed to increasingly frequent and intense droughts. A study in Germany focused on extensive mortality in Norway spruce and European beech forests following the 2018-2019 hot droughts, finding that the die-off was mainly attributed to increasing drought sensitivity. Sustainable forest management practices are needed to mitigate the effects of global warming on these important tree species.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Agronomy
Gourav Misra et al.
Summary: The study analyzed the impact of elevation on plant phenology in the Bavarian Alps. It found that insufficient winter chilling due to warming could delay spring phenology. Significant differences in start of season dates between alpine and pre-alpine areas were observed in warmer years, while minimal differences were found in colder years.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Geography, Physical
Przemyslaw Polewski et al.
Summary: This paper introduces a framework for segmenting instances of a common object class by multiple active contour evolution over semantic segmentation maps of images obtained through fully convolutional networks. The contour evolution is cast as an energy minimization problem, where efficient solution neighborhood operators are proposed to enable optimization through metaheuristics such as simulated annealing. The method is validated on real-world scenes, showing promising results for automatic fallen tree mapping in forests.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Feng Tian et al.
Summary: The study focuses on designing and evaluating a framework for tracking the phenology of vegetation using Sentinel-2 imagery and various ground observations. Different vegetation indices were tested for their capability to track seasonal trajectories of GPP and GCC, with the plant phenology index performing the best for GPP phenology.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Ecology
Hooman Latifi et al.
Summary: The effects of climate change-induced events on forest ecosystem dynamics have called for increased research on biodiversity indicators. The concept of data pools provides a smaller-scale alternative for developing remote sensing and forest ecosystem science. The Bohemian Forest Ecosystem Data Pool serves as an example of how data pools can efficiently contribute to global biodiversity observatories by providing data, algorithms, and feasibility studies for earth observation missions.
METHODS IN ECOLOGY AND EVOLUTION
(2021)
Review
Environmental Sciences
Matteo Pardini et al.
Summary: The paper reviews the use of Synthetic Aperture Radar (SAR) measurements for mapping forest 3D structure, focusing on the L-band TomoSAR reflectivity reconstructions and their potential for forest structure mapping. Experimental results obtained from airborne acquisitions over temperate forest sites in Germany support the analysis.
Proceedings Paper
Engineering, Environmental
Dimitri Bulatov et al.
Summary: The study emphasizes the importance of remote sensing platforms combined with machine learning, successfully achieving deadwood instance segmentation using the Mask R-CNN model, thus addressing key challenges in deadwood monitoring.
EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS XII
(2021)
Article
Ecology
Theresia Yazbeck et al.
Summary: Solar-Induced Chlorophyll Fluorescence (SIF) is a valuable predictor of Gross Primary Production (GPP), with considerations for site-specific and abiotic conditions contributing to model precision. Including environmental variables, particularly water stress indicators, improves the accuracy of GPP predictions using SIF at various timescales, highlighting the importance of accounting for canopy structure and water stress effects for better remote sensing-based GPP estimation.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2021)
Article
Geosciences, Multidisciplinary
Ana Bastos et al.
Summary: In 2018 and 2019, central Europe experienced two consecutive extreme dry and hot summers, with severe impacts on ecosystems. The effects of compound extreme events can be amplified by past disturbance legacies, increasing vegetation susceptibility to additional hazards. These findings highlight the importance of considering interannual legacy effects in predicting the impacts of climate extremes on ecosystems.
EARTH SYSTEM DYNAMICS
(2021)
Article
Ecology
Carsten Montzka et al.
Summary: Recent droughts have weakened forest stands in Central Europe, particularly affecting spruce trees. Utilizing satellite data for spruce monitoring, the study identified an increase in damaged trees and provided insights into vulnerable spruce habitats in the region.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2021)
Article
Green & Sustainable Science & Technology
Cornelius Senf et al.
Summary: The study reveals an increasing trend in canopy mortality in 35 European countries from 1985 to 2018, which may significantly impact the demographic structure of European forests. Recent levels of canopy mortality are shown to halt the aging trend of Europe's forests and could potentially lead to a shift towards younger forests, with cascading negative effects on forest biodiversity and carbon storage. Developing strategies to address the increasing canopy mortality is crucial for forest policy and management in Europe.
Article
Ecology
Jan Pisek et al.
Summary: The study suggests that accurate retrievals of forest understory NDVI can be obtained using MODIS data and a specific method, with better performance in forest types with open canopies, but limitations in forests with closed canopies and high foliage cover.
Article
Agronomy
Andreas Krause et al.
GLOBAL CHANGE BIOLOGY BIOENERGY
(2020)
Article
Environmental Sciences
Christophe F. Randin et al.
REMOTE SENSING OF ENVIRONMENT
(2020)
Article
Ecology
Bernhard Schuldt et al.
BASIC AND APPLIED ECOLOGY
(2020)
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Environmental Sciences
Luca Pulvirenti et al.
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Biodiversity Conservation
Liu Qiang et al.
GLOBAL CHANGE BIOLOGY
(2020)
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Environmental Sciences
Sebastian Zimmermann et al.
JOURNAL OF APPLIED REMOTE SENSING
(2020)
Review
Environmental Sciences
Vitor C. F. Gomes et al.
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Ecology
Lea Heidrich et al.
NATURE ECOLOGY & EVOLUTION
(2020)
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Ecology
Cornelius Senf et al.
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Multidisciplinary Sciences
Guido Ceccherini et al.
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Biodiversity Conservation
Michele Torresani et al.
ECOLOGICAL INDICATORS
(2020)
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Biodiversity Conservation
Philipp Brun et al.
GLOBAL CHANGE BIOLOGY
(2020)
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Environmental Sciences
Dominik Seidel et al.
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Environmental Sciences
Wolfgang Deigele et al.
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Environmental Sciences
Yasmina Loozen et al.
REMOTE SENSING OF ENVIRONMENT
(2020)
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Remote Sensing
Saverio Francini et al.
EUROPEAN JOURNAL OF REMOTE SENSING
(2020)
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Environmental Sciences
Christian Thiel et al.
Article
Environmental Sciences
Ankit Shekhar et al.
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Forestry
Benjamin F. Meyer et al.
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Geography, Physical
Felix Schiefer et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2020)
Article
Multidisciplinary Sciences
Cornelius Senf et al.
NATURE COMMUNICATIONS
(2020)
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Forestry
Daniel Scharvogel et al.
Article
Forestry
Selina Ganz et al.
Article
Environmental Sciences
Markus Adam et al.
Review
Environmental Sciences
Stefanie Holzwarth et al.
Article
Environmental Sciences
J. Malin Hoeppner et al.
Article
Remote Sensing
Christian Thiel et al.
Article
Ecology
Allan Buras et al.
Article
Biodiversity Conservation
Joerg Mueller et al.
CONSERVATION LETTERS
(2019)
Article
Geochemistry & Geophysics
Joachim Hill et al.
SURVEYS IN GEOPHYSICS
(2019)
Article
Environmental Sciences
Nicola Puletti et al.
JOURNAL OF APPLIED REMOTE SENSING
(2019)
Article
Biodiversity Conservation
Yann Vitasse et al.
GLOBAL CHANGE BIOLOGY
(2019)
Article
Environmental Sciences
Ran Wang et al.
REMOTE SENSING OF ENVIRONMENT
(2019)
Article
Multidisciplinary Sciences
Soyeon Bae et al.
NATURE COMMUNICATIONS
(2019)
Article
Ecology
Haidi Abdullah et al.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2019)
Review
Forestry
Jeffrey G. Masek et al.
FOREST ECOLOGY AND MANAGEMENT
(2015)
Review
Remote Sensing
Asim Banskota et al.
CANADIAN JOURNAL OF REMOTE SENSING
(2014)
Review
Forestry
Peter Brang et al.
Article
Multidisciplinary Sciences
M. C. Hansen et al.
Article
Forestry
Craig D. Allen et al.
FOREST ECOLOGY AND MANAGEMENT
(2010)
Article
Forestry
Andreas Bolte et al.
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
(2009)
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Environmental Sciences
MW Palmer et al.
