Detection of Vegetation Coverage in Urban Agglomeration of Brussels by NDVI Indicator Using eCognition Software and Remote Sensing Measurements

International audience ; Introduction. The study area encompasses selected regions of the Brussels municipality, Belgium. In the past years the city of Brussels is experiencing intensification of the density of building structures. Unlike in some other European cities, where the most evident problem is urbanization and expansion of the city margins to the suburbia, the urban structure Brussels is the intensification of the buildings density in the city centre and the existing dwelling districts. Thus, the city structure tends to become more intense and dense, due to the process of filling the... Mehr ...

Verfasser: Lemenkova, Polina
Dokumenttyp: conferenceObject
Erscheinungsdatum: 2014
Verlag/Hrsg.: HAL CCSD
Schlagwörter: Image processing Image recognition / Image processing Pattern recognition / OBIA / Object Based Image Analysis OBIA / Object Based Image Classification / Brussels / GIS & Spatial Analyses / GIS Analysis / Bruxelles / Belgique / SIG / ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION / ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS / ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.6: Segmentation / ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture / ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.0: Image displays / ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.0: General/I.4.0.1: Image processing software / ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.1: Imaging geometry / ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.1: Digitization and Image Capture/I.4.1.6: Scanning / ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING / ACM: I.: Computing Methodologies/I.5: PATTERN RECOGNITION / ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.6: Methodology and Techniques / ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.3: Picture/Image Generation / ACM: I.: Computing Methodologies/I.3: COMPUTER GRAPHICS/I.3.4: Graphics Utilities / ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning / ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning/I.2.6.4: Knowledge acquisition / ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION/I.4.8: Scene Analysis / [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] / [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG] / [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY] / [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] / [INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR] / [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation / [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] / [SDE.ES]Environmental Sciences/Environmental and Society
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28898780
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://hal.archives-ouvertes.fr/hal-01972868

International audience ; Introduction. The study area encompasses selected regions of the Brussels municipality, Belgium. In the past years the city of Brussels is experiencing intensification of the density of building structures. Unlike in some other European cities, where the most evident problem is urbanization and expansion of the city margins to the suburbia, the urban structure Brussels is the intensification of the buildings density in the city centre and the existing dwelling districts. Thus, the city structure tends to become more intense and dense, due to the process of filling the empty spaces in the urban patterns and high level housing. Another example of urban processes in Brussels is reorganisation of the industrial areas. At the same time, monitoring vegetation areas is essential for environmental sustainability of the capital city. The lack of the green spaces may cause ecological instability and increase atmospheric pollution. For studies of the specific problems of the Brussels city the remote sensing data (raster image) was used together with NDVI function, in order to detect areas covered by city parks. Methods and ResultsStep I. The panchromatic image was loaded into project and processed.Step II. The image was segmented using the principle of Multiresolution Segmentation. This operation consists in the splitting of an image into segments in order to simplify complexity of the whole initial image. It is performed by the machine embedded logic based on mathematic algorithms and simplifying models. The general rule divides the area into regions according to the principle “neighbour pixels have similar parameters” (spectral reflectance value, texture, form, shape).Step III. All vegetation coverage has been detected and separated from other objects (impervious structures) using natural characteristics of the vegetation spectral reflectance. For this, first the arithmetic expression for Normalized Difference Vegetation Index (NDVI) was created in eCognition operators using formula for spectral ...