Using spatial autocorrelation techniques and multi-temporal satellite data for analyzing urban sprawl

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7335 LNCS, Issue PART 3, 2012, Pages 512-527

  Nolè, Gabriele ^a,c   Danese, Maria ^b   Murgante, Beniamino ^c   Lasaponara, Rosa ^a,c   Lanorte, Antonio ^a  

^a CNR   (Italy)

^b CNR Consiglio Nazionale delle Ricerche   (Italy)

^c UNIVERSITY OF BASILICATA   (Italy)

Author keywords

Autocorrelation; Change Detection; Remote sensing; Urban morphology

Indexed keywords

CHANGE DETECTION; LAND-USE CHANGE; LANDSAT IMAGES; LOCAL AUTO-CORRELATION; MULTI-TEMPORAL; MULTI-TEMPORAL DATA; QUANTITATIVE ASSESSMENTS; SATELLITE DATA; SATELLITE IMAGES; SATELLITE TIME; SMALL TOWNS; SPATIAL AUTOCORRELATIONS; SPATIAL CHARACTERIZATION; SPATIAL PATTERNS; SPECTRAL INDICES; THEMATIC MAPPERS; URBAN AREAS; URBAN EXPANSION; URBAN MORPHOLOGY; URBAN SPRAWL;

LAND USE; NASA; REMOTE SENSING; URBAN GROWTH;

AUTOCORRELATION;

EID: 84863907165     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31137-6_39     Document Type: Conference Paper

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