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EXTRACTING ROOF PARAMETERS AND HEAT BRIDGES OVER THE CITY OF OLDENBURG FROM HYPERSPECTRAL, THERMAL, AND AIRBORNE LASER SCANNING DATA
Hyperspectral Imaging Airborne Laser Scanning Thermal Imaging,
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2014/6/5
Remote sensing methods are used to obtain different kinds of information about the state of the environment. Within the cooperative
research project HiReSens, funded by the German BMBF, a hyperspec...
OBJECT IDENTIFICATION AND CHARACTERIZATION WITH HYPERSPECTRAL IMAGERY TO IDENTIFY STRUCTURE AND FUNCTION OF NATURA 2000 HABITATS
Spectral Mixture Analysis Object Segmentation Imaging Spectroscopy Heathland Conservation Status Grass Encroachment
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2014/6/12
Habitat monitoring of designated areas under the EU Habitats Directive requires every 6 years information on area, range, structure and function for the protected (Annex I) habitat types. First result...
AN OBJECT-BASED APPROACH TO QUANTITY AND QUALITY ASSESSMENT OF HEATHLAND HABITATS IN THE FRAMEWORK OF NATURA 2000 USING HYPERSPECTRAL AIRBORNE AHS IMAGES
Vegetation Hyper spectral Application Classification Ecosystem Landscape Object Contextual
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2014/6/12
Straightforward mapping of detailed heathland habitat patches and their quality using remote sensing is hampered by (1) the intrinsic property of a high heterogeneity in habitat species composition (i...
NATURA 2000 HABITAT IDENTIFICATION AND CONSERVATIONSTATUS ASSESSMENT WITH SUPERRESOLUTION ENHANCED HYPERSPECTRAL (CHRIS/PROBA) IMAGERY
habitat mapping vegetation mapping Natura2000 CHRIS/Proba hyperspectral superresolution satellite imagery
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2014/6/12
Monitoring and reporting on the status of Natura 2000 habitats is an obligation under the 1992 Habitats Directive for each member state of the European Union (EU). Satellite imagery providing ...
A GA-based Band Selection Algorithm for Producing Color Composite Image Using Hyperspectral Data
color composite image band selection hyperspectral data
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2009/3/16
This paper presents a GA(Genetic algorithms)-based band selection procedure for producing the color composite image using hyperspectral data (e.g., hyperion data). The more number of hyperspectral ban...
NDSI Map and IPLS Using Hyperspectral Data for Assessment of Plant and Ecosystem Variables—With a Case Study on Remote Sensing of Grain Protein Content, Chlorophyll Content and Biomass in Rice—
band selection hyperspectra multivariable analysis PLS spectral index
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2010/11/24
Hyperspectral reflectance is an important data source for remote sensing of vegetation and ecosystems, especially in assessment of ecophysiological and physiochemical properties. Nevertheless, major a...