A5078978732- Calibration and Measurement Techniques
- Remote Sensing in Agriculture
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Geochemistry and Geologic Mapping
- Species Distribution and Climate Change
- Satellite Image Processing and Photogrammetry
- Land Use and Ecosystem Services
- Forest Ecology and Biodiversity Studies
- Infrared Target Detection Methodologies
- Atmospheric Ozone and Climate
- Forest Management and Policy
- Atmospheric and Environmental Gas Dynamics
- Climate variability and models
- Meteorological Phenomena and Simulations
- Forest ecology and management
- Plant Ecology and Soil Science
- Advanced Image Fusion Techniques
- Environmental Monitoring and Data Management
- 3D Surveying and Cultural Heritage
- Advanced Computational Techniques and Applications
- Geographic Information Systems Studies
- Botany and Plant Ecology Studies
- Oceanographic and Atmospheric Processes
- Leaf Properties and Growth Measurement
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
2014-2025
Remote Sensing Solutions (Germany)
2023
European Severe Storms Laboratory
2018
United Nations Human Settlements Programme
2017
Central Europe was hit by several unusually strong periods of drought and heat between 2018 2020. These droughts affected forest ecosystems. Cascading effects with bark beetle infestations in spruce stands were fatal to vast areas Germany. We present the first assessment canopy cover loss Germany for period January 2018–April 2021. Our approach makes use dense Sentinel-2 Landsat-8 time-series data. computed disturbance index (DI) from tasseled cap components brightness, greenness, wetness....
EnMAP (Environmental Mapping and Analysis Program) is a high-resolution imaging spectroscopy remote sensing mission that was successfully launched on April 1st, 2022. Equipped with prism-based dual-spectrometer, performs observations in the spectral range between 418.2nm 2445.5nm 224 bands high radiometric accuracy stability. products, ground instantaneous field-of-view of 30m×30m at swath width 30km, allow for qualitative quantitative analysis surface variables from frequently consistently...
Remote sensing multi-decadal time-series provide important information for analysing long-term environmental change. The Advanced Very High Resolution Radiometer (AVHRR) has been providing data since the early 1980s. Normalised Difference Vegetation Index (NDVI) derived thereof can be used monitoring vegetation conditions. This study presents novel TIMELINE NDVI product, which provides a consistent set of daily, 10-day, and monthly composites at 1 km spatial resolution based on AVHRR Europe...
Machine learning algorithms, in particular, kernel-based machine methods such as Gaussian processes regression (GPR) have shown to be promising alternatives traditional empirical for retrieving vegetation parameters from remotely sensed data. However, the performance of GPR predicting forest biophysical has hardly been examined using full-spectrum airborne hyperspectral The main objective this study was evaluate potential estimate leaf area index (LAI) To achieve this, field measurements LAI...
Land Surface Temperature (LST) is an important parameter for tracing the impact of changing climatic conditions on our environment. Describing interface between long- and shortwave radiation fluxes, as well turbulent heat fluxes ground flux, LST plays a crucial role in global balance. Satellite-derived indispensable tool monitoring these changes consistently over large areas long time periods. Data from AVHRR (Advanced Very High-Resolution Radiometer) sensors have been available since early...
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...
Mapping a specific tree species at individual level across landscapes using remote sensing is challenging, especially in forests where co-occurring exhibit similar characteristics. In Central European mixed forests, silver fir and Norway spruce have been identified as pair of coniferous with spectral structural characteristics, typically leading to major misclassification error mapping studies. Here, we aimed accurately map trees spruce-dominated natural forest the Bavarian Forest National...
Earth Observation satellite data allows for the monitoring of surface our planet at predefined intervals covering large areas. However, there is only one medium resolution sensor family in orbit that enables an observation time span 40 and more years a daily repeat interval. This AVHRR family. If we want to investigate long-term impacts climate change on environment, can do so based remains available several decades. then processes with respect change, need very high temporal enabling...
Remote sensing image composites are crucial for a wide range of remote applications, such as multi-decadal time series analysis. The Advanced Very High Resolution Radiometer (AVHRR) instrument has provided daily data since the early 1980s at spatial resolution 1 km, allowing analyses climate change-related environmental processes. For monitoring vegetation conditions, Normalized Difference Vegetation Index (NDVI) is most widely used metric. However, to actually enable analyses, consistent...
Abstract Effects of climate change‐induced events on forest ecosystem dynamics composition, function and structure call for increased long‐term, interdisciplinary integrated research biodiversity indicators, in particular within strictly protected areas with extensive non‐intervention zones. The long‐established concept supersites generally relies long‐term funds from national agencies goes beyond the logistic financial capabilities state‐ or region‐wide area administrations, universities...
Today, the ground segments of Landsat and Sentinel missions provide a wealth well-calibrated, characterized datasets which are already orthorectified corrected for atmospheric effects. Initiatives such as CEOS Analysis Ready Data (ARD) propose ensure guidelines requirements so that can readily be used, interoperability within between is given. With increasing availability data from operational research-oriented spaceborne hyperspectral sensors EnMAP, DESIS PRISMA, in preparation upcoming...
The Bavarian Forest National Park, established in 1970, is a unique area of forests with large nonintervention zones, which promote large-scale rewilding process low human interference. Thus, the Park authority particularly interested investigating structure and dynamics forest ecosystems within park. However, conventional inventories are timeconsuming not able to fully record heterogeneity natural forests. Our goal develop advanced techniques for tree species mapping based on hyperspectral...
Abstract Imaging spectroscopy is used in this work as an essential mapping tool to monitor changes contaminated river sediments. Multidate hyperspectral image data (HyMap) are utilized identify spatial mineral patterns, detect temporal mineralogy and link these with geochemical processes short‐term climate characteristics. River sediments by acid mine drainage covered crusts variably hydrated iron sulphate. The of the grain size underlying fluvial overlap. spectra build up maps from HyMap...