A5075301550- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Forest Ecology and Biodiversity Studies
- Forest Management and Policy
- Remote Sensing in Agriculture
- 3D Surveying and Cultural Heritage
- Fire effects on ecosystems
- MicroRNA in disease regulation
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Soil Geostatistics and Mapping
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Tree Root and Stability Studies
- Optical measurement and interference techniques
- Land Use and Ecosystem Services
- Climate change and permafrost
- Forest Insect Ecology and Management
- Image Processing Techniques and Applications
- Cancer-related molecular mechanisms research
- Soil erosion and sediment transport
- Atmospheric and Environmental Gas Dynamics
- Cryospheric studies and observations
- Forest Biomass Utilization and Management
- Wildlife Ecology and Conservation
- RNA modifications and cancer
Norwegian Institute of Bioeconomy Research
2016-2025
University of Kassel
2022-2024
Swedish University of Agricultural Sciences
2017
Landscape Institute
2012
Norwegian University of Life Sciences
2009-2011
Nordwestdeutsche Forstliche Versuchsanstalt
2008-2009
Zimmer Biomet (Germany)
2009
Forstliche Versuchs- und Forschungsanstalt Baden-Württemberg
2008
University of Göttingen
2008
The Nordic countries have long traditions in forest inventory and remote sensing (RS). In sample-based national inventories (NFIs), utilization of aerial photographs started during the 1960s, satellite images 1980s, laser scanning 2000s, photogrammetric point clouds 2010s. management (FMI), photos 1940s 2000s. However, so far, RS has mostly been used for map production research rather than estimation regional parameters or inference on their accuracy. recent years, technology developing very...
This paper focuses on the use of models for increasing precision estimators in large-area forest surveys. It is motivated by availability remotely sensed data, which facilitates development predicting variables interest We present, review and compare three different estimation frameworks where play a core role: model-assisted, model-based, hybrid estimation. The first two are well known, whereas third has only recently been introduced Hybrid inference mixes design-based model-based...
Abstract Past In the early twentieth century, forestry was one of most important sectors in Norway and an agitated discussion about perceived decline forest resources due to over-exploitation ongoing. To base on facts, young state established Landsskogtakseringen – world’s first National Forest Inventory (NFI). Field work started 1919 carried out by county. Trees were recorded 10 m wide strips with 1–5 km interspaces. Site quality land cover categories along each strip. Results for county...
Laser scanning data from unmanned aerial vehicles (UAV-LS) offer new opportunities to estimate forest growing stock volume ( V ) exclusively based on the UAV-LS data. We propose a method measure tree attributes and using these measurements without use of field for calibration. The consists five steps: i) Using data, crowns are automatically identified segmented wall-to-wall. ii) From all detected crowns, sample is taken where diameter at breast height (DBH) can be recorded reliably as...
This study aimed at estimating total forest above-ground net change (ΔAGB; Gg) over five years (2014–2019) based on model-assisted estimation utilizing freely available satellite imagery. The was conducted for a boreal area (approx. 1.4 Mha) in Norway where bi-temporal national inventory (NFI), Sentinel-2, and Landsat data were available. Biomass modelled direct approach. precision of estimates using only the NFI basic expansion estimator compared to four different alternative 1) Sentinel-2...
Wood resources have been essential for human welfare throughout history. Also nowadays, the volume of growing stock (GS) is considered one most important forest attributes monitored by National Forest Inventories (NFIs) to inform policy decisions and management planning. The origins inventories closely relate times early wood shortage in Europe causing need explore plan utilisation GS catchment areas mines, saltworks settlements. Over time, surveys became more detailed their scope turned...
Bark beetles cause widespread damages in the coniferous-dominated forests of central Europe and North America. In future, areas affected by bark may further increase due to climate change. However, early detection beetle green attack can guide management decisions prevent larger damages. For this reason, a field-based monitoring program is currently implemented Germany. The combination remote sensing field data help minimizing reaction time reducing costs programs covering large forested...
A functional forest carbon measuring, reporting and verification (MRV) system to support climate change mitigation policies, such as REDD+, requires estimates of biomass carbon, an input estimate emissions. combination field inventory remote sensing is expected provide those data. By linking Landsat 8 data, we (1) developed linear mixed effects models for total living (TLB) estimation a function spectral variables, (2) 30 m resolution map the (TLC), (3) estimated TLB stock study area....
Boreal forests constitute a large portion of the global forest area, yet they are undersampled through field surveys, and only few remotely sensed data sources provide structural information wall-to-wall throughout boreal domain. ArcticDEM is collection high-resolution (2 m) space-borne stereogrammetric digital surface models (DSM) covering entire land area north 60° latitude. The free-availability offers new possibilities for aboveground biomass mapping (AGB) across forests, thus it...
Nation-wide Sentinel-2 mosaics were used with National Forest Inventory (NFI) data for modelling and subsequent mapping of spruce, pine deciduous forest in Norway 16 m $\times$ resolution. The accuracies the best model ranged between 74% spruce 87% forest. An overall accuracy 90% was found on stand level using independent from more than 42.000 stands. Errors mostly resulting a mask reduced by approximately 10%. Nonetheless, efficiencies national area estimates increased 20% to 50%...
Abstract This study addresses the use of multiple sources auxiliary data from unmanned aerial vehicles (UAVs) and airborne laser scanning (ALS) for inference on key biophysical parameters in small forest properties (5–300 ha). We compared precision estimates using plot alone under a design-based with model-based that include following four types data: (1) terrain-independent variables UAV photogrammetric (UAV-SfM); (2) obtained normalized external terrain (UAV-SfMDTM); (3) UAV-LS (4) ALS...
The Norwegian forest resource map (SR16) maps attributes by combining national inventory (NFI), airborne laser scanning (ALS) and other remotely sensed data. While the ALS data were acquired over a time interval of 10 years using various sensors settings, NFI are continuously collected. Aims this study to analyze effects stratification on models linking field data, assess accuracy overall at project level. model dataset consisted 9203 plots from 367 projects, covering 17 Mha 2/3 productive...
Fine-grained information on the level of individual trees constitute key components for forest observation enabling management practices tackling effects climate change and loss biodiversity in ecosystems. Such tree crowns (ITC's) can be derived from application ITC segmentation approaches, which utilize remotely sensed data. However, many approaches require prior knowledge about characteristics, is difficult to obtain parameterization. This avoided by adoption data-driven, automated...
We present a unified electromagnetic modeling of coherence scanning interferometry, confocal microscopy, and focus variation microscopy as the most common techniques for surface topography inspection with micro- nanometer resolution. The model aims at analyzing instrument response predicting systematic deviations. Since main lies on microscopes, light–surface interaction is considered, based Kirchhoff approximation extended to vectorial imaging theory. However, it can be replaced by rigorous...
Abstract Forest biomass is an essential resource in relation to the green transition and its assessment key for sustainable management of forest resources. Here, we present a dataset Europe based on best available inventory satellite data, with higher level harmonisation spatial resolution than other existing data. This database provides statistics maps area, stock their share wood supply year 2020, gross net volume increment 2010–2020, 38 European countries. The most countries are at...
We investigated the effects of site properties, forest structure, and time on snow breakage, insect outbreaks, windthrow, total damage for predominantly planted forests. A series in southwestern Germany spanning 77 years, from 1925 to 2001, was available along with a database properties structure. The statistical modeling procedure successively addressed (i) probability occurrence, (ii) timber loss damaging events, (iii) interaction among agents over time. Logistic linear regressions were...
National Forest Inventories (NFIs) provide estimates of forest parameters for national and regional scales. Many key variables interest, such as biomass timber volume, cannot be measured directly in the field. Instead, models are used to predict those from measurements other field variables. Therefore, uncertainty or variability NFI results not only selecting a sample population but also uncertainties interest. The aim this study was quantify model-related Norway spruce (Picea abies [L.]...
Due to the availability of good and reasonably priced auxiliary data, use model-based regression-synthetic estimators for small area estimation is popular in operational settings. Examples are forest management inventories, where a linking model used combination with airborne laser scanning data estimate stand-level parameters no or too few observations collected within stand. This paper focuses on different approaches estimating variances those estimates. We compared variance estimator...
We developed nonlinear mixed effects height-diameter models for three major tree species: Norway spruce (Picea abies [L.] Karst.); Scots pine (Pinus sylvestris L.); and downy birch (Betula pubescens [Ehrh.]) in Norway. used data from four Norwegian national forest inventory (NFI) cycles (7th–10th NFI cycle) as model fitting the 6th cycle validation data. Among several bi-parametric functions tested base a preliminary analysis, Näslund function showed smallest residual variations, therefore...
This paper describes the development and utility of Norwegian forest resources map (SR16). SR16 is developed using photogrammetric point cloud data with ground plots from National Forest Inventory (NFI). First, an existing mask was updated object-based image analysis methods. Evaluation against NFI definitions showed Cohen's kappa 0.80 accuracy 0.91 in lowlands a 0.73 0.96 mountains. Within mask, 16×16 m raster Lorey's height, volume, biomass, tree species as attributes (SR16-raster). All...
Abstract Key message Using satellite-based maps, Ceccherini et al. (Nature 583:72-77, 2020) report abruptly increasing harvested area estimates in several EU countries beginning 2015. more than 120,000 National Forest Inventory observations to analyze the map, we show that it is not but map’s ability detect areas increases after 2015 Finland and Sweden.