Ecological assessment of forest management approaches to develop resilient forests in the face of global change in Central Europe DOI Creative Commons
Franka Huth, Alexander Tischer, Petia Simeonova Nikolova

et al.

Basic and Applied Ecology, Journal Year: 2025, Volume and Issue: unknown

Published: May 1, 2025

Language: Английский

Forest Structure Characterization in Germany: Novel Products and Analysis Based on GEDI, Sentinel-1 and Sentinel-2 Data DOI Creative Commons
Patrick Kacic, Frank Thonfeld, Ursula Geßner

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(8), P. 1969 - 1969

Published: April 7, 2023

Monitoring forest conditions is an essential task in the context of global climate change to preserve biodiversity, protect carbon sinks and foster future resilience. Severe impacts heatwaves droughts triggering cascading effects such as insect infestation are challenging semi-natural forests Germany. As a consequence repeated drought years since 2018, large-scale canopy cover loss has occurred calling for improved disturbance monitoring assessment structure conditions. The present study demonstrates potential complementary remote sensing sensors generate wall-to-wall products combination high spatial temporal resolution imagery from Sentinel-1 (Synthetic Aperture Radar, SAR) Sentinel-2 (multispectral) with novel samples on Global Ecosystem Dynamics Investigation (GEDI, LiDAR, Light detection ranging) enables analysis dynamics. Modeling three-dimensional GEDI machine learning models reveals recent changes German due disturbances (e.g., degradation, salvage logging). This first consistent data set Germany 2017 2022 provides information height, biomass allows estimating at 10 m resolution. maps support better understanding post-disturbance

Language: Английский

Citations

20

Spectral-temporal traits in Sentinel-1 C-band SAR and Sentinel-2 multispectral remote sensing time series for 61 tree species in Central Europe DOI Creative Commons
Christian Schulz, Michael Förster, Stenka Vulova

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 307, P. 114162 - 114162

Published: April 17, 2024

Tree species maps derived from satellite imagery increasingly support forest administrations and nature conservation authorities with large-scale up-to-date information. However, many are often excluded or aggregated in classification tasks due to a limited knowledge of the most suitable predictors. Our study aims gain better understanding optical polarimetric traits for tree mapping by examining Sentinel-1 Sentinel-2 time series 61 temperate Europe. For selection 32 optical, structural variables, principal component analysis revealed that variables mainly explain variance data contributing "seasonality" "foliage color" components. contribute "texture" component. The Normalized Difference Vegetation Index (NDVI), Tasseled Cap Greenness (TCG) Radar (RVI) were chosen as key further analysis. Seasonality was found be dominant aspect all vegetation indices. Furthermore, TCG useful distinguish between early late budding species. RVI showed large potential discriminate conifers, which is attributed crown volume effect C-band SAR. Using exploratory analysis, we examined influence management, biogeographical meteorological factors on Fagus sylvatica, Pinus sylvestris, Picea abies. NDVI relatively robust different conditions. two conifer however, strong spatial variations presumably caused conditions across area. could therefore lead uncertainties gradients. This contributes improvement based dual-polarimetric thus benefits other stakeholders their monitoring decision-making.

Language: Английский

Citations

6

Predicting Species and Structural Diversity of Temperate Forests with Satellite Remote Sensing and Deep Learning DOI Creative Commons
Janik Hoffmann, Javier Muro, Olena Dubovyk

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(7), P. 1631 - 1631

Published: March 29, 2022

Anthropogenically-driven climate change, land-use changes, and related biodiversity losses are threatening the capability of forests to provide a variety valuable ecosystem services. The magnitude diversity these services governed by tree species richness structural complexity as essential regulators forest biodiversity. Sound conservation sustainable management strategies rely on information from indicators that is conventionally derived field-based, periodical inventory campaigns. However, data usually site-specific not spatially explicit, hampering their use for large-scale monitoring applications. Therefore, main objective our study was build robust method explicit modeling variables across temperate types using open-access satellite deep learning models. Field were obtained Biodiversity Exploratories, research infrastructure platform supports ecological in Germany. A total 150 plots sampled between 2014 2018, covering broad range environmental gradients From field data, we key (Shannon Wiener Index) heterogeneity (standard deviation diameter) proxies Deep neural networks used predict selected based Sentinel-1 Sentinel-2 images 2017. Predictions diameter variation achieved good accuracy (r2 = 0.51) winter-based backscatter data. best models set features but lower accuracies 0.25). Our results demonstrate potential remote sensing parameters at landscape scale, contrast most studies focus very homogeneous settings. These highly generalizable continuous can be status functions, contributing practices, answering complex questions.

Language: Английский

Citations

22

Using crowdsourced images to study selected cultural ecosystem services and their relationships with species richness and carbon sequestration DOI
Heera Lee, Bumsuk Seo, Anna F. Cord

et al.

Ecosystem Services, Journal Year: 2022, Volume and Issue: 54, P. 101411 - 101411

Published: Feb. 8, 2022

Language: Английский

Citations

20

Mapping Germany's circulating wood flow with oven-dry metric tonne in 2020 DOI Creative Commons
Ruisheng Wang, Peer Haller

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 204, P. 107476 - 107476

Published: Feb. 15, 2024

Wood has always been an indispensable material in human society throughout history. Its efficient utilization is even more crucial today achieving the Sustainable Development Goals (SDGs). However, its production, trade, use, and recycling are seldom systematically assessed, with Germany being exception due to extensive work conducted by University of Hamburg Thünen Institute over years. To provide a precise account wood this study employs oven-dry metric tonne as reference unit construct static flow based on analysis resource balance 2020. The Sankey diagrams comprehensively visualize stock various sectors, including forests, sawmills, pulp mills, buildings, energy, waste. Results showed that forest felling volume exceeded growth significant demand export, while carbon sinks increased because hardwood was retained German forests. building construction sector largest consumer primary products, accounting for 52.1 % total, followed furniture (29.5 %) packaging (14.0 %). All waste paper used produce recycled fiber pulp, whereas only 14 employed particle board production. woody biomass amounting 142.4 TWh, provided approximately 4.4 Germany's energy consumption, around half it private households. In addition apparent data, also uses allocation, storage, cascade potential examples demonstrate applicable further in-depth analysis, supporting utilization. It can be applied any country period sufficient data conversion factors, but here, they prevented from describing past future flows.

Language: Английский

Citations

4

Water indices for surface water extraction using geospatial techniques: a brief review DOI

Kapil Kumar Purnam,

A. D. Prasad, Padma Ganasala

et al.

Sustainable Water Resources Management, Journal Year: 2024, Volume and Issue: 10(2)

Published: March 5, 2024

Language: Английский

Citations

4

Assessing experimental silvicultural treatments enhancing structural complexity in a central European forest – BEAST time‐series analysis based on Sentinel‐1 and Sentinel‐2 DOI Creative Commons
Patrick Kacic, Ursula Geßner, Stefanie Holzwarth

et al.

Remote Sensing in Ecology and Conservation, Journal Year: 2024, Volume and Issue: 10(4), P. 531 - 550

Published: April 3, 2024

Abstract Assessing the dynamics of forest structure complexity is a critical task in times global warming, biodiversity loss and increasing disturbances order to ensure resilience forests. Recent studies on emphasize essential functions deadwood accumulation diversification light conditions for enhancement structural complexity. The implementation an experimental patch‐network managed broad‐leaved forests within Germany enables standardized analysis various aggregated distributed treatments characterized through diverse structures. To monitor enhanced as seasonal trend components, dense time‐series from high spatial resolution imagery Sentinel‐1 (Synthetic‐Aperture Radar, SAR) Sentinel‐2 (multispectral) are analyzed decomposition models (BEAST, Bayesian Estimator Abrupt change, Seasonal change Trend). Based several statistics comprehensive catalog spectral indices, metrics ( n = 84) 903) calculated at patch‐level. Metrics best identifying treatment event assessed by point dates probability scores. Heterogeneity VH NMDI (Normalized Multi‐band Drought Index) capture most accurately, with clear advantages identification treatments. In addition, structures downed or no can be characterized, well more complex standing structures, such snags habitat trees. conclude, complementary sensors have potential assess complexities, thus supporting continuous monitoring habitats functioning over time.

Language: Английский

Citations

4

Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany DOI Creative Commons
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha

et al.

Natural hazards and earth system sciences, Journal Year: 2024, Volume and Issue: 24(5), P. 1757 - 1777

Published: May 16, 2024

Abstract. Droughts often lead to cross-sectoral and interconnected socio-economic impacts, affecting human well-being, ecosystems, economic development. Extended drought periods, such as the 2018–2022 event in Germany, amplify these impacts due temporal carry-over effects. Yet, our understanding of impact dynamics during increasingly frequent multi-year periods is still its infancy. In this study, we analyse Germany compare them previous single-year events. Leveraging text-mining tools, derive a dataset covering reported by 260 news outlets on agriculture, forestry, livestock, waterways, aquaculture, fire, social spanning 2000 2022. We introduce concept profiles (DIPs) describe spatio-temporal patterns co-occurrences impacts. employ clustering algorithm detect DIPs then use sequence mining statistical tests trends. Our results reveal that had distinct compared prior droughts regarding their spatial extent, diversity, prevalent types. For period, identify shifts how have been perceived regionally, especially focusing legacy cascading effects forestry activities. Also, show regional differences relevant are controlled different land-cover findings enhance dynamic nature highlighting potential techniques study dynamics. The insights gained underscore need for strategies managing

Language: Английский

Citations

4

Understanding Tree Mortality Patterns: A Comprehensive Review of Remote Sensing and Meteorological Ground-Based Studies DOI Open Access

Filippos Eliades,

Dimitrios Sarris, Felix Bachofer

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(8), P. 1357 - 1357

Published: Aug. 3, 2024

Land degradation, desertification and tree mortality related to global climate change have been in the spotlight of remote sensing research recent decades since extreme climatic events could affect composition, structure, biogeography forests. However, complexity processes requires a holistic approach. Herein, we present first assessment historical perspective forest by reviewing both meteorological ground-based studies. We compiled 254 papers on that make use remotely sensed products, monitoring, drivers, focusing their spatial temporal patterns methods applied while highlighting gaps. Our core results indicate international publications are increase, with main hotspots being North America (39%) Europe (26%). Wetness indicators appear as barometer explaining at local scale, vegetation derived from multispectral optical sensors promising for large-scale assessments. observed almost all studies reviewed were based less than 25 years data scale. Longer timeframes regional scale investigations will include multiple species analysis significant impact future research.

Language: Английский

Citations

4

Earth-Observation-Based Monitoring of Forests in Germany—Recent Progress and Research Frontiers: A Review DOI Creative Commons
Stefanie Holzwarth, Frank Thonfeld, Patrick Kacic

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(17), P. 4234 - 4234

Published: Aug. 29, 2023

One-third of Germany’s land surface area is covered by forest (around 11.4 million hectares), and thus, it characterizes the landscape. The a habitat for large number animal plant species, source raw materials, important climate protection, well-being refuge people, to name just few its many functions. During annual condition surveys, crown German forests assessed on basis field samples at fixed locations, as trees considered an indicator their vitality. Since start surveys in 1984, mean defoliation all tree species has increased, now averaging about 25% species. Additionally, shows strong rise rate dieback. In 2019, most significant changes were observed. Due drastic recent years, efforts are being made assess situation using different remote sensing methods. There freely available products provided public, more will follow result numerous projects context earth-observation (EO)-based monitoring mapping Germany. 2020, regarding use was already investigated detail. However, these results no longer reflect current situation. last 3 years content this publication. For study, 84 citable research publications thoroughly analyzed compared with 2020. As major result, we found shift focus towards disturbance tendency cover larger areas, including national-scale studies. addition review scientific literature, also reviewed related products. congruence developments terms journals, need comprehensive, timely, large-area, complementary EO-based information around expressed multiple political programs. With review, provide update previous work link activities. We conclude that there still gaps between needs managers who usually rely from perspectives

Language: Английский

Citations

10