Mapping global urban areas using MODIS 500-m data: New methods and datasets based on 'urban ecoregions'

Remote Sensing of Environment

Volumn 114, Issue 8, 2010, Pages 1733-1746

  Schneider, Annemarie ^a   Friedl, Mark A ^b   Potere, David ^c  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b BOSTON UNIVERSITY   (United States)

^c PRINCETON UNIVERSITY   (United States)

Author keywords

Cities; Classification; Decision trees; Environment; Global monitoring; Land cover; Machine learning; Urban areas; Urbanization

Indexed keywords

BUILT ENVIRONMENT; CITY SCALE; CLASSIFICATION ALGORITHM; CLASSIFICATION DECISION; DATA SETS; ECONOMIC ACTIVITIES; ECONOMIC DEVELOPMENT; ECOREGIONS; ENERGY CONSUMPTION; ENVIRONMENTAL IMPLICATIONS; ENVIRONMENTAL RESEARCHES; GLOBAL MONITORING; GLOBAL SCALE; HUMAN ACTIVITIES; HYDROLOGICAL CYCLES; IMPERVIOUS SURFACE; LAND COVER; LAND-COVER TYPES; METHODOLOGICAL APPROACH; PIXEL LEVEL; POPULATION SIZES; REFERENCE DATA; SPATIAL RESOLUTION; SPECTRAL INFORMATION; TRAINING DATABASE; URBAN AREAS;

AIR QUALITY; DATA PROCESSING; DECISION TREES; ECONOMICS; LANDFORMS; LEARNING SYSTEMS; MONITORING; RADIOMETERS;

POPULATION STATISTICS;

ATMOSPHERIC POLLUTION; DATA SET; ECONOMIC ACTIVITY; ECOREGION; HUMAN ACTIVITY; HYDROLOGICAL CYCLE; LAND COVER; MODIS; POPULATION SIZE; SATELLITE DATA; SPATIAL RESOLUTION; URBAN AREA; URBANIZATION;

EID: 77955326628     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2010.03.003     Document Type: Article

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