David Frantz

Latest

• Understanding the robustness of spectral-temporal metrics across the global Landsat archive from 1984 to 2019 – a quantitative evaluation
• Mapping oak wilt disease from space using land surface phenology
• High-resolution data and maps of material stock, population, and employment in Austria from 1985 to 2018
• Atmospheric Correction Inter-comparison eXercise, ACIX-II Land: An assessment of atmospheric correction processors for Landsat 8 and Sentinel-2 over land
• Improved burn severity estimation by using Land Surface Phenology metrics and red edge information estimated from Landsat
• High-resolution mapping of 33 years of material stock and population growth in Germany using Earth Observation data
• Sub-pixel building area mapping based on synthetic training data and regression-based unmixing using Sentinel-1 and -2 data
• Cloud Mask Intercomparison eXercise (CMIX): An evaluation of cloud masking algorithms for Landsat 8 and Sentinel-2
• Integrated topographic corrections improve forest mapping using Landsat imagery
• Revisiting the past: Replicability of a historic long-term vegetation dynamics assessment in the era of big data analytics
• Mapping grassland mowing events across Germany based on combined Sentinel-2 and Landsat 8 time series
• FORCE on Nextflow: Scalable Analysis of Earth Observation data on Commodity Clusters
• Multi-season unmixing of vegetation class fractions across diverse Californian ecoregions using simulated spaceborne imaging spectroscopy data.
• Operational Coregistration of the Sentinel-2A/B Image Archive Using Multitemporal Landsat Spectral Averages
• Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates
• High-Resolution Maps of Material Stocks in Buildings and Infrastructures in Austria and Germany
• Comparison of Masking Algorithms for Sentinel-2 Imagery
• National-scale mapping of building height using Sentinel-1 and Sentinel-2 time series
• Evaluation of machine learning algorithms for forest stand species mapping using Sentinel-2 imagery and environmental data in the Polish Carpathians
• Land-cover change in the Caucasus Mountains since 1987 based on the topographic correction of multi-temporal Landsat composites
• Mapping urban-rural gradients of settlements and vegetation at national scale using Sentinel-2 spectral-temporal metrics and regression-based unmixing with synthetic training data
• Spectral harmonization and red edge prediction of Landsat-8 to Sentinel-2 using land cover optimized multivariate regressors
• Visualizing and labeling dense multi-sensor earth observation time series: The EO Time Series Viewer
• A Global MODIS Water Vapor Database for the Operational Atmospheric Correction of Historic and Recent Landsat Imagery
• FORCE—Landsat + Sentinel-2 Analysis Ready Data and Beyond
• Interdependent effects of climate variability and forest cover change on streamflow dynamics: a case study in the Upper Umvoti River Basin, South Africa
• Mapping Cropping Practices on a National Scale Using Intra-Annual Landsat Time Series Binning
• Using Landsat and Sentinel-2 Data for the Generation of Continuously Updated Forest Type Information Layers in a Cross-Border Region
• Atmospheric Correction Inter-Comparison Exercise
• Deforestation for agricultural expansion in SW Zambia and NE Namibia and the impacts on soil fertility, soil organic carbon- and nutrient levels
• Improvement of the Fmask algorithm for Sentinel-2 images: Separating clouds from bright surfaces based on parallax effects
• Long-term land use change analysis in south-central Angola. Assessing the trade-off between major ecosystem services with remote sensing data
• Remote sensing-based environmental assessment and monitoring – generation of operational baseline and enhanced experimental products in southern Africa
• Seeing deforestation in Zambia - On the discrepancy between biophysical land-use changes and social perception
• Assessment of spatio-temporal changes of smallholder cultivation patterns in the Angolan Miombo belt using segmentation of Landsat time series
• Global Analysis of the Differences Between the MODIS Vegetation Index Compositing Date and the Actual Acquisition Date
• Phenology-adaptive pixel-based compositing using optical earth observation imagery
• Using Annual Landsat Time Series for the Detection of Dry Forest Degradation Processes in South-Central Angola
• An Operational Radiometric Landsat Preprocessing Framework for Large-Area Time Series Applications
• Evaluating the Trade-Off Between Food and Timber Resulting from the Conversion of Miombo Forests to Agricultural Land in Angola Using Multi-Temporal Landsat Data
• Fire spread from MODIS burned area data: obtaining fire dynamics information for every single fire
• Forest Disturbance Mapping Using Dense Synthetic Landsat/MODIS Time-Series and Permutation-Based Disturbance Index Detection
• Improving the Spatial Resolution of Land Surface Phenology by Fusing Medium- and Coarse-Resolution Inputs
• Linking Land Surface Phenology and Vegetation-Plot Databases to Model Terrestrial Plant α-Diversity of the Okavango Basin
• Enhancing the Detectability of Clouds and Their Shadows in Multitemporal Dryland Landsat Imagery: Extending Fmask
• On the Derivation of a Spatially Distributed Aerosol Climatology for its Incorporation in a Radiometric Landsat Preprocessing Framework
• Enhanced biomass prediction by assimilating satellite data into a crop growth model
• Fire Frequency, Fire Seasonality and Fire Intensity within the Okavango Region Derived from MODIS Fire Products