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Nolè, Danese, Murgante, Lasaponara & Lanorte - input 2012
 

Nolè, Danese, Murgante, Lasaponara & Lanorte - input 2012

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Gabriele Nolè, Rosa Lasaponara, Maria Danese, Beniamino Murgante and Antonio Lanorte on "Analyzing urban growth with spatial autocorrelation in multi-temporal satellite data"

Gabriele Nolè, Rosa Lasaponara, Maria Danese, Beniamino Murgante and Antonio Lanorte on "Analyzing urban growth with spatial autocorrelation in multi-temporal satellite data"

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    Nolè, Danese, Murgante, Lasaponara & Lanorte - input 2012 Nolè, Danese, Murgante, Lasaponara & Lanorte - input 2012 Presentation Transcript

    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Analyzing urban growth with spatial autocorrelation in multi-temporal satellite dataCagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering A phenomenon already present in Europe France - Investigations on the 22 largest metropolitan agglomerations Within the City, the residential migrations towords external crowns clearly outweigh those directed towards the center (in thousands). source:Certu, 2000Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Urban and rural population of the World, 1950-2050 World Urbanization Prospects The 2007 Revision-Highlights United Nations New YorkCagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering An unregulated urbanization for the periurban crown: - consumes the soil - denatures the Landscape time required to move congestion and public transport increased path home-work construction and house prices the maintenance diseconomies roadways public services (street consumption of lighting, waste the soil management) Urbanization costCagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering URBAN SPRAWL: A PHENOMENA TO BE MONITORED IN ORDER TO CONTROLL IT A critical point for understanding and monitoring urban expansion processes is the availability of both (i) time-series data set (ii) updated information relating to current urban spatial structure to define and to locate evolution trends. Remote Sensing LANDSATCagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Dati –> LANDSAT www.landsat.org http://earthexplorer.usgs.gov/ ….Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Dati –> LANDSAT www.landsat.org http://glovis.usgs.gov/ ….Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering URBAN SPRAWL: A PHENOMENA TO BE MONITORED IN ORDER TO CONTROLL IT To cope with the fact that small changes have to be captured and extracted from TM multi-temporal data sets, we adopted the use of spectral indices to emphasize occurring changes, and geospatial data analysis for revealing spatial patterns. spectral indices Spatial autocorrelation Spatial autocorrelation statistics are considered very useful tools in analysing satellite images, since they consider not only pixel value (reflectance, temperature, spectral index) under investigation, but also the relationship between same pixel Global indicator Local indicator and its surrounding pixels in a relevant scope of analysis. (Moran, Geary C ratio) (LISA, Local Geary, Getis e Ord)Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Toblers First Law of Geography “All things are related, but nearby things are more related than distant things ” (1970) Positive Negative No Autocorrelation Autocorrelation AutocorrelationCagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Database GRASS and tools - Import/export Dati GRASS - Elaboration of remote sensing images - Index elaboration (es. NDVI, BAI) R Project for Statistical Computing - data analysis - Import/export data - Import/export data - thematic - Elaboration of representation remote sensing - layout image - Geostatistics (Moran, Getis,..)Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Study areaCagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Study Area Landsat in RGBCagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Analysis RNIR − RRED NDVI - Normalized Difference Vegetation Index NDVI = RNIR + RRED ​Takes values between -1 and 1, in particular below 0 for the water, slightly higher than 0 for soils,and between 0.4 and 0.7 for vegetation. Only very dense vegetation to reach 0.8.It is intuitive that an increased presence of pigments increases the numerator.The NDVI allows torelate the absorption spectrum of chlorophyll in the red, with the phenomenon of reflection in thenear infrared (strongly influenced by the type of leaf structure)Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Analysis Change Detection 1999 – 2009 NDVI RNIR − RRED NDVI = RNIR + RREDCagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Analysis Spatial autocorrelation – Getis Gi − n n ∑ w (d ) x i i − xi ∑ wi (d )Gi ( d ) = i =1 i =1  2  ( N −1) ∑ wi (d ) −  ∑ wi (d )   n n      i =1  i =1    S (i ) N −2Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Analysis Spatial autocorrelation – Local Geary N ci = ∑ wij ( zi − z j ) 2 j =1Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Analysis Spatial autocorrelation – Lisa (X −X ) ∑( w ( X − X )) N Ii = i 2 ij j SX j=1Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Conclusions Spatial autocorrelation – comparisonGetis and Ords Index, Lisa index, gives thebetter captures this worst result, because ofphenomenon Instead for a spread of pixels ofGeary index, areas in light different colours, whichred pixels are too large and means that there is notautocorrelated areas a strong autocorrelationinclude not only urban and urban areas are notareas, but also bare captured by such anterrains. analysis.Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte
    • University of Basilicata - DAPIT Laboratory of Urban and Regional Territorial Systems Engineering Conclusions - The process has been carried out using free tools and data. Operating system (Linux Ubuntu) and GIS software (GRASS GIS and Quantum GIS) are open source type, while Landsat data are downloadable and ready to use. - The main objectives of the study were: (i) to assess if the variation of urban structure over time can be quantitatively determined using TM images, (ii) to investigate and describe the modification of urban shape and morphology over time. - Analysing and comparing different years, the process of urban intensification has been observed, and the increase of urbanized area was revealed. - However, this study is preliminary and quite suggestive and its main objective was to present a way of applying autocorrelation analysis to the monitoring of urban area evolution. The need of analysing more time periods and a comparative analysis among many urban areas would be fruitful, and the application of the geostatistical analysis applied to satellite time series constitutes a major challenge for further investigation.Cagliari, 10-11-12 Maggio 2012 Gabriele Nolè, Maria Danese, Beniamino Murgante, Rosa Lasaponara, Antonio Lanorte