Jannika Schäfer

ORCID: 0000-0002-1795-9432
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About
Contact & Profiles
Research Areas
  • Remote Sensing and LiDAR Applications
  • Forest ecology and management
  • Forest Ecology and Biodiversity Studies
  • Fire effects on ecosystems
  • Remote Sensing in Agriculture
  • Infrared Target Detection Methodologies
  • Soil erosion and sediment transport
  • Calibration and Measurement Techniques
  • Atmospheric Ozone and Climate

Karlsruhe Institute of Technology
2017-2024

Abstract. Laser scanning from different acquisition platforms enables the collection of 3D point clouds perspectives and with varying resolutions. These allow us to retrieve detailed information on individual tree forest structure. We conducted airborne laser (ALS), uncrewed aerial vehicle (UAV)-borne (ULS) terrestrial (TLS) in two German mixed forests species typical central Europe. provide spatially overlapping, georeferenced for 12 plots. As a result extraction, we furthermore present...

10.5194/essd-14-2989-2022 article EN cc-by Earth system science data 2022-07-05

The estimation of various forest inventory attributes from high spatial resolution airborne remote sensing data has been widely examined and proved to be successful at the experimental level. Nevertheless, operational use these in automated procedures support inventories management is still limited a small number cases. reasons for this are costs, availability over large areas resistance practitioners. In review main aim stimulate debate about spaceborne very stereo-imagery (VHRSI) as an...

10.1093/forestry/cpx014 article EN Forestry An International Journal of Forest Research 2017-03-07

Abstract Airborne laser scanning (ALS) data are routinely used to estimate and map structure-related forest inventory variables. The further development, refinement evaluation of methods derive variables from ALS require extensive datasets stand information on an individual tree-level corresponding data. A cost-efficient method obtain such is the combination virtual stands with a simulator. We present approach simulate by combining information, tree point cloud database simulation framework...

10.1093/forestry/cpad006 article EN Forestry An International Journal of Forest Research 2023-04-12

Abstract Despite decades of development, the uptake remote sensing-based information products in forestry sector is still lagging behind central and southern Europe. This may partly relate to a mismatch developed sensing requirements potential users. Here, we present results questionnaire survey which questioned 355 forest practitioners from eight European countries. We aimed learn about practitioners' technical for four products, including on tree species, canopy height, wood...

10.1093/forestry/cpae021 article EN Forestry An International Journal of Forest Research 2024-05-02

Abstract Airborne laser scanning data are increasingly used to predict forest biomass over large areas. Biomass information cannot be derived directly from airborne data; therefore, field measurements of plots required build regression models. We tested whether simulated virtual could train models and thereby reduce the amount required. compared performance that were trained with (i) only, (ii) a combination real data, (iii) collected different study sites, (iv) same site model was applied...

10.1093/forestry/cpad061 article EN Forestry An International Journal of Forest Research 2023-12-04

Abstract. Laser scanning from different acquisition platforms enables collecting 3D point clouds perspectives and with varying resolutions. Such allow us to e.g., retrieve information about the forest structure individual tree properties, or model trees in 3D. We conducted airborne laser (ALS), UAV-borne (ULS) terrestrial (TLS) German mixed forests species typical for Central Europe. provide spatially overlapping, georeferenced of acquisitions. As a result extraction, we furthermore present...

10.5194/essd-2022-39 preprint EN cc-by 2022-02-04

<p>Virtual laser scanning (VLS) is a valuable method to complement expensive data acquisition in the field. VLS refers simulation of LiDAR create 3D point clouds from models scenes, platforms and sensors mimicking real world acquisitions. In forestry, this can be used generate training testing with complete ground truth for algorithms performing essential tasks such as tree detection or species classification. Furthermore, allows in-depth investigation influence different...

10.5194/egusphere-egu21-9178 article EN 2021-03-04

<p>Rain throughfall under vegetation is determined by characteristics of the vertical structure and associated plant traits. It goes both ways: A protective layer ground covering or leaf litter can decrease kinetic energy (TKE), whereas formation large drips in canopy layers has been found to increase TKE. Abstracting three-dimensional into usable quantitative metrics challenging, therefore these processes have not yet sufficiently integrated spatial erosion models. The splash...

10.5194/egusphere-egu21-7816 article EN 2021-03-04

<p>LiDAR-based forest inventories focusing on estimating and mapping structure-related inventory variables across large areas have reached operationality. In the commonly applied area-based approach, a set of field-measured plots is combined with spatially co-located airborne laserscanning data to train empirical models that can then be used predict target metric over entire area covered by LiDAR data.</p><p>The approach was found produce reliable...

10.5194/egusphere-egu21-9197 article EN 2021-03-04

We combine forest inventory information, a tree point cloud database and the open-source laser scanning simulation framework HELIOS++ to generate synthetic data of forests. Airborne six 1-ha plots in temperate, central European forests was simulated compared real ALS these plots. The 3D representations stands were composed clouds single trees, and, for comparison, simplified models with cylindrical stems spheroidal crowns, both form penetrable an impenetrable surface. This dataset...

10.5445/ir/1000139603 article EN 2021-01-01
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