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Image Analysis in Earth Sciences - Customer Case Studies
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Customers in more than 100 countries rely on Definiens technology for advanced image analysis. Here are some of the diverse stories in which Definiens has solved real world problems rapidly and enabled better decisions.
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 Defense and Security
Infrastructure Planning
Natural Resource Management
Note: All Case Studies are in PDF format
Classification of nuclear power plants by Definiens eCognition
Forschungszentrum Jülich, Germany |
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The analysis of commercial satellite images in the context of nuclear verification has been recently proposed by the International Atomic Energy Agency (IAEA) as an additional tool to verify the absence of undeclared nuclear activities within IAEA member states. Object-oriented and knowledge-based image analysis could have a variety of applications in the context of nuclear verification.
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Definiens enables GeoVille to transform images into intelligent geo-information
GeoVille Group, Austria and Luxembourg |
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Using Definiens' technology, GeoVille has developed a highly-automated land use mapping application that further increases the reliability and efficacy of traditional processing approaches. The result provides European agencies, government bodies, and commercial customers with harmonized, cross-border land use data that enables customers to make better decisions.
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Airport Mapping and Change Detection
DigitalGlobe, USA |
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DigitalGlobe's airport feature extraction and change detection product primarily uses eCognition for identifying and extracting changes of interest in airports such as new construction of runways, changes in markers, taxiways, and other features.
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Basic land-cover classification of polarimetric SAR
Definiens AG, Germany |
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This study proposes an innovative strategy to extract agricultural regions, forest, water and urban areas from high-resolution, polarimetric SAR images in X- and L-band with Definiens eCognition.
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Detecting buildings and roads from IKONOS and DEM data with Definiens eCognition (a study from Tsukuba, Japan)
Definiens AG, Germany |
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Due to Definiens eCognition‘s advantages compared to pixel based methods the software is best suited to handling complex scenes such as high resolution images from urban areas. In combination with a digital elevation model the mapping accuracy can be further improved.
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Impervious surface mapping with High Resolution Satellite imagery
Center for Advanced Spatial Technologies (CAST) University of Arkansas, USA |
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Because impervious surface maps are an essential input layer to all storm water analysis models, methods for accurately mapping and measuring the extent and quantity of impervious surfaces are of critical importance. Beginning in the spring of 2003, researchers at the Center for Advanced Spatial Technologies (CAST) were investigating the feasibility of using DigitalGlobe Quickbird and Definiens eCognition for the mapping of urban surfaces.
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Mapping urban areas in the Santa Barbara South Coast using Ikonos data and Definiens eCognition
University of California, Department of Geography, USA |
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Definiens eCognition has proven its excellent concepts for improved mapping of urban areas from VHR remote sensing data. Object-oriented classification provides a superior approach in deriving detailed land cover information.
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Pixel vs. Object: A method comparison for analysing urban areas with VHR data
University of Bonn, Remote Sensing Department |
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Research at the University of Bonn proofs that Definiens eCognition's object-oriented image analysis technology is superior to traditional pixel-based methods for urban mapping from VHR image data.
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Using Definiens eCognition to detect storm losses in Swiss alpine forest areas from high resolution satellite data
Swiss Federal Research Institute WSL |
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On December 26, 1999, Hurricane Lothar struck many parts of Switzerland, leaving behind huge areas of destroyed forest.
This study investigates the usefullness of Definiens eCognition and VHR satellite images for the detection of storm losses in Swiss alpine forest.
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An object-oriented classification approach for land use analysis of the Ruhuna Basin, Sri Lanka using Landsat ETM data
University of Jena, Department of Geoinformatics, Geohydrology and Modelling,Germany |
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Researchers at the University of Jena have investigated the potential of Definiens eCognition for the analysis of medium-resoluted Landsat data in the heterogeneous environment of southern Sri Lanka. A hierarchical land use/land cover classification scheme has been developed for the Ruhuna-Walawe basins since only inconsistent land use schemes have been available for southern Sri Lanka.
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Advanced land use classification using polarimetric high-resolution SAR
University of Jena Jena, Department of Geography, Remote Sensing Unit, Germany |
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The presented study demonstrates the capability of multifrequent and multipolarimetric airborne SAR data in combination with the object-oriented image analysis approach of Definiens eCognition to classify land use more accurately.
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Agricultural parcel detection with Definiens eCognition
GAF AG, Germany |
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Monitoring agriculture is one of the major applications in remote sensing today. In particular, verifying eligibility for areabased subsidies in the EU makes a quick and precise check of farmers‘ applications necessary. Definiens eCognition and CIR aerial photographs were used to detect and classify parcels by their geometry and land use.
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Automated timber stand delineation from aerial imagery
Sanborn, USA |
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Using Definiens eCognition, Sanborn developed a two-stage approach to automatically map pine stands from aerial photographs. Results indicate that automated processing of aerial imagery could provide significant savings in time and resources for Sanborn's customer Plum Creek Timber Co., Georgia.
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Classification of clouds and weather situations in meteorological satellite data using Definiens eCognition
Forschungszentrum Karlsruhe, Institute of Meteorology and Climate Research |
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This study investigates Definiens eCognition's potential for the detection and classification of clouds and weather situations in low resolution satellite data.
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Combining HyMap-data with a DEM for vineyard mapping
University of Trier, Remote Sensing Department, Germany |
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The integration of HyMap data and a digital elevation model in Definiens eCognition software allowed for an improved classification of vineyards in western Germany.
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Definiens eCognition and hyperspectral HyMap data allow advanced land use classification
University of Jena Jena, Department of Geography, Remote Sensing Unit and Definiens AG, Germany |
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Hyperspectral HyMap™ data were used to map an agricultural terrain in southern Germany. Using the object-oriented approach of Definiens eCognition an advanced rule base was defined to classify different basic land use classes and several crop types.
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IKONOS imagery classified with Definiens eCognition for a flood damage assessment
European Joint Research Center, Natural Hazard Unit, Italy |
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This study presents an approach for detailed land use mapping from VHR satellite imagery for flood damage assessment in the Netherlands.
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Irak Marshland Observation System
UNEP-GRID Europe, Switzerland |
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GRID-Europe has developed an observation System for the Iraqi Mesopotamian Marshlands in order to monitor the distribution of the present reflooding and the nature of the associated ecological changes taking place. One of the IMOS requirements being the provision of vegetation and inundation maps on a weekly basis, the team developed a novel approach based on object extraction and classification from MODIS imagery, using the Definiens eCognition software.
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Land cover classification of Vienna Woods, Austria, using panchromatic KOMPSAT-1 and SPOT-5 data
ARC Seibersdorf research, Austria & Korea Aerospace Research Institute, Korea |
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The potential of the object-oriented approach to classification was tested in the environmentally sensitive Vienna Woods area of Austria. Image data from different satellite sensor sources taken at different spatial resolutions were subjected to the same classification procedure developed using Definiens eCognition and then compared to a land use classification produced by visual interpretation
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Operational burned area mapping on the Mediterranean island of Thasos
Aristotle University of Thessaloniki
Laboratory of Forest Management and Remote Sensing |
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A classification model has been developed to reliably access the ecological impact of fires that affect the Mediterranean region. Whereas previous techniques based on pixel-based multispectral classification were unable to distinguish between burned areas and other types of land cover Definiens eCognition has facilitated the development of a highly accurate classification system that can be applied to any areas similarly affected by wildfire.
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Using Definiens eCognition to detect informal settlements from IKONOS images (Cape Town, South Africa)
Definiens AG, Germany |
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The detection of informal settlements from remote sensing data is a challenging task. Due to its unique features Definiens eCognition can be used to improve the detection and mapping of informal settlements.
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Using Definiens eCognition to detect storm losses in Swiss alpine forest areas from high resolution satellite data
Swiss Federal Research Institute WSL |
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On December 26, 1999, Hurricane Lothar struck many parts of Switzerland, leaving behind huge areas of destroyed forest.
This study investigates the usefullness of Definiens eCognition and VHR satellite images for the detection of storm losses in Swiss alpine forest.
Download PDF
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