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Verlagsausgabe
DOI: 10.5445/IR/1000075898#verlagsausgabe
Originalveröffentlichung
DOI: 10.5194/isprs-archives-XLII-3-W3-65-2017

Revisiting Existing Classification Approaches for Building Materials Based on Hyperspectral Data

Ilehag, Rebecca; Weinmann, Martin; Schenk, Andreas; Keller, Sina; Jutzi, Boris; Hinz, Stefan

Abstract:
Pollution emissions into the drainage basin have direct impact on surface water quality. These emissions result from human activities that turn into pollution loads when they reach the water bodies, as point or diffuse sources. Their pollution potential depends on the characteristics and quantity of the transported materials. The estimation of pollution loads can assist decision-making in basin management. Knowledge about the potential pollution sources allows for a prioritization of pollution control policies to achieve the desired water quality. Consequently, it helps avoiding problems such as eutrophication of water bodies. The focus of the research described in this study is related to phosphorus emissions into river basins. The study area is the upper Iguazu basin that lies in the northeast region of the State of Paraná, Brazil, covering about 2,965 km² and around 4 million inhabitants live concentrated on just 16% of its area. The MoRE (Modeling of Regionalized Emissions) model was used to estimate phosphorus emissions. MoRE is a model that uses empirical approaches to model processes in analytical units, capable of using spat ... mehr


Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator ISSN: 1682-1750
URN: urn:nbn:de:swb:90-758981
KITopen ID: 1000075898
Erschienen in The international archives of photogrammetry, remote sensing and spatial information sciences
Band XLII-3/W3
Seiten 65-71
Bemerkung zur Veröffentlichung Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions, Jyväskylä, Finland, 25th - 27th October 2017
Schlagworte Hyperspectral data, Building facades, Feature selection, Classification, Urban materials
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