Unveiling patterns in human dominated landscapes through mapping the mass of US built structures.
Arctic shrub expansion revealed by Landsat-derived multitemporal vegetation cover fractions in the Western Canadian Arctic
Revisiting the Past: Replicability of a Historic Long-Term Vegetation Dynamics Assessment in the Era of Big Data Analytics
Annual maps of strength and duration of drought impacts on grasslands in northeastern Germany. Based on Sentinel-2 time series from 2017 to 2020).
Karten zur Landwirtschaftlichen Nutzung in Deutschland 2017-2019.
Mowing events derived from integrated Landsat 8 and Sentinel-2 time series at a spatial resolution of 10 m for the years 2017 - 2020.
Gridded population map, Germany, based on building density, height and type (year: 2018).
Visualization of student projects in the course Remote Sensing for Settlement Mapping, Summer 2020
Map of building heights at a spatial resolution of 10m for the entire Germany (year: 2018).
Map of twelve land cover classes across the entire Europe at 30m spatial resolution (year: 2015).
Fraction map of three land cover types (imperviousness, woody vegetation, non-woody vegetation) across Austria and Germany at 10m spatial resolution (year: 2018).
Map of material stocks in buildings and infrastructure across Germany and Austria at a spatial resolution of 10m. Includes federal statistics (year: 2018).
Map of five different cropping management practices across the entire Turkey at 30m resolution (year: 2015).
This interactive storymap presents results of a study mapping urban expansion and densification of Ouagadougou, Burkina Faso, from 2002 to 2013.
Tree species map for German Federal State of Brandenburg derived from multiannual Sentinel-2 time series in 10m resolution
OpenGIS Web Services (WMS, WFS, WCS)
Software developed in the EOL
Name | Purpose | Link |
---|---|---|
Bit Flag Renderer | QGIS Plugin to visualize raster image bit flags | https://bit-flag-renderer.readthedocs.io |
EnMAP-Box | QGIS Plugin to visualize and process hyper spectral remote sensing data, and particularly developed to handle EnMAP products | https://enmap-box.readthedocs.io |
EO Time Series Viewer | QGIS Plugin to visualize multi-sensor EO time series data | https://eo-time-series-viewer.readthedocs.io |
FORCE | Framework for Operational Radiometric Correction for Environmental Monitoring | https://github.com/davidfrantz/force |
FORCE4Q | QGIS Plugin to create higher level EO data products | https://force4q.readthedocs.io |
GEE Timeseries Explorer | QGIS Plugin to explore temporal raster data available in Google Earth Engine (GEE) | https://geetimeseriesexplorer.readthedocs.io |
Virtual Raster Builder | QGIS Plugin to creation virtual raster images |
A QGIS Plugin to visualize EO time series data from multiple sensors in QGIS