SlideShare a Scribd company logo
1 of 34
REMOTE SENSING  AND  URBAN ANALYSIS  A. Bianchin, L. Bravin  GEDDeS Laboratory – Planning Department  University IUAV of  Venice
Urban Analysis ,[object Object],[object Object],[object Object],[object Object]
Processing Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Processing Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Analist must  ,[object Object],[object Object],[object Object],[object Object]
Case study  Urban Phenomena at different scale ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
EXTRACTION OF BUILT SPACE ,[object Object],[object Object],[object Object],[object Object],[object Object]
LANDSAT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SPOT_PAN ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
PROCEDURE ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IKONOS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
IMAGES Landsat7 ETM+,  Spatial resolution 30 m R:4;G:3,B:2 SPOT 4  Spatial resolution 10 m  PAN IKONOS Spatial resolution 1 m R:4;G:3,B:2
BUILT SURFACES Landsat 7 Spatial resolution 30 m SPOT 4 Spatial resolution 10 m IKONOS Spatial resolution 1 m
ACCURACY ASSESSMENT ,[object Object],[object Object],[object Object]
Landsat  OverallAccuracy  354/400=88,5% Spot  OverallAccuracy  340/400=85,00% IKONOS OverallAccuracy  363/400=90,75%
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],ANALYSIS TECHNIQUES CHARACTERIZING URBAN SPACE
IKONOS_5  IKONOS_10
1.  BUILT AREA SURFACE
RESULTS ,[object Object],[object Object],[object Object],[object Object]
2.  DENSITY FUNCTION ,[object Object],[object Object],[object Object],[object Object],[object Object]
DENSITY FUNCTION ,[object Object],IKONOS Built space density classes over 5 images
RESULTS   ,[object Object],[object Object],[object Object],[object Object]
DENSITY FUNCTION  - CROSS TABLES   ,[object Object],[object Object]
In blue  : Distribution of each density class of Spot into IKONOS classes.  (percentage values) In pink:  Distribution of each density class of IKONOS into Spot classes  (percentage values) Cross table   Graphic representation of cross table
RESULTS ,[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],DENSITY FUNCTION - CONCLUSIONS
3. LANDSCAPE INDEXES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],landscapes with few regions landscapes with several regions
WORKING  STEPS  ,[object Object],[object Object],[object Object],[object Object]
  Five sub-areas   ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
1_compact core; 2_suburban area;  3_connection area; 4_scattered settlements;  5_ industrial area
Study Area Indexes for the 5 sub-areas 1-2 Concentrated urban areas: uniform and compact in Landsat and Spot; a dense set of single elements in IKONOS.   3-4  Fragmented areas are represented by numerous patches spread over the territory whose minimum size is defined by pixel size. 5  Representation of industrial area similar over scales, shaped into a set of medium-wide sized patches
[object Object],[object Object],[object Object],LANDSCAPE STATISTICS - CONCLUSION
CONCLUSIONS ,[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

Region Splitting and Merging Technique For Image segmentation.
Region Splitting and Merging Technique For Image segmentation.Region Splitting and Merging Technique For Image segmentation.
Region Splitting and Merging Technique For Image segmentation.SomitSamanto1
 
Ajay ppt region segmentation new copy
Ajay ppt region segmentation new   copyAjay ppt region segmentation new   copy
Ajay ppt region segmentation new copyAjay Kumar Singh
 
Image segmentation and defect detection techniques using homogeneity
Image segmentation and defect detection techniques using homogeneityImage segmentation and defect detection techniques using homogeneity
Image segmentation and defect detection techniques using homogeneitycrew1274
 
Marker Controlled Segmentation Technique for Medical application
Marker Controlled Segmentation Technique for Medical applicationMarker Controlled Segmentation Technique for Medical application
Marker Controlled Segmentation Technique for Medical applicationRushin Shah
 
Interactive segmentation for change detection in multispectral remote sensing...
Interactive segmentation for change detection in multispectral remote sensing...Interactive segmentation for change detection in multispectral remote sensing...
Interactive segmentation for change detection in multispectral remote sensing...Ecway Technologies
 
Region based image segmentation
Region based image segmentationRegion based image segmentation
Region based image segmentationSafayet Hossain
 
Image segmentation 2
Image segmentation 2 Image segmentation 2
Image segmentation 2 Rumah Belajar
 
Pre processing of raw rs data
Pre processing of raw rs dataPre processing of raw rs data
Pre processing of raw rs dataguriaghosh
 
Image segmentation
Image segmentationImage segmentation
Image segmentationkhyati gupta
 
Bio medical image segmentation using marker controlled watershed algorithm a ...
Bio medical image segmentation using marker controlled watershed algorithm a ...Bio medical image segmentation using marker controlled watershed algorithm a ...
Bio medical image segmentation using marker controlled watershed algorithm a ...eSAT Publishing House
 
IMAGE SEGMENTATION TECHNIQUES
IMAGE SEGMENTATION TECHNIQUESIMAGE SEGMENTATION TECHNIQUES
IMAGE SEGMENTATION TECHNIQUESVicky Kumar
 

What's hot (17)

Region Splitting and Merging Technique For Image segmentation.
Region Splitting and Merging Technique For Image segmentation.Region Splitting and Merging Technique For Image segmentation.
Region Splitting and Merging Technique For Image segmentation.
 
Ajay ppt region segmentation new copy
Ajay ppt region segmentation new   copyAjay ppt region segmentation new   copy
Ajay ppt region segmentation new copy
 
Image segmentation and defect detection techniques using homogeneity
Image segmentation and defect detection techniques using homogeneityImage segmentation and defect detection techniques using homogeneity
Image segmentation and defect detection techniques using homogeneity
 
Region based segmentation
Region based segmentationRegion based segmentation
Region based segmentation
 
Marker Controlled Segmentation Technique for Medical application
Marker Controlled Segmentation Technique for Medical applicationMarker Controlled Segmentation Technique for Medical application
Marker Controlled Segmentation Technique for Medical application
 
Interactive segmentation for change detection in multispectral remote sensing...
Interactive segmentation for change detection in multispectral remote sensing...Interactive segmentation for change detection in multispectral remote sensing...
Interactive segmentation for change detection in multispectral remote sensing...
 
Region based image segmentation
Region based image segmentationRegion based image segmentation
Region based image segmentation
 
C012271015
C012271015C012271015
C012271015
 
Image segmentation 2
Image segmentation 2 Image segmentation 2
Image segmentation 2
 
cvpr10-depth
cvpr10-depthcvpr10-depth
cvpr10-depth
 
Segmentation
SegmentationSegmentation
Segmentation
 
Image segmentation
Image segmentationImage segmentation
Image segmentation
 
Pre processing of raw rs data
Pre processing of raw rs dataPre processing of raw rs data
Pre processing of raw rs data
 
Image segmentation
Image segmentationImage segmentation
Image segmentation
 
Image segmentation
Image segmentationImage segmentation
Image segmentation
 
Bio medical image segmentation using marker controlled watershed algorithm a ...
Bio medical image segmentation using marker controlled watershed algorithm a ...Bio medical image segmentation using marker controlled watershed algorithm a ...
Bio medical image segmentation using marker controlled watershed algorithm a ...
 
IMAGE SEGMENTATION TECHNIQUES
IMAGE SEGMENTATION TECHNIQUESIMAGE SEGMENTATION TECHNIQUES
IMAGE SEGMENTATION TECHNIQUES
 

Similar to Bianchin

A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...
A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...
A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...IJLT EMAS
 
Multi sensor data fusion for change detection
Multi sensor data fusion for change detectionMulti sensor data fusion for change detection
Multi sensor data fusion for change detectionsanu sharma
 
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...Unsupervised Building Extraction from High Resolution Satellite Images Irresp...
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...CSCJournals
 
spkumar-503report-approved
spkumar-503report-approvedspkumar-503report-approved
spkumar-503report-approvedPrasanna Kumar
 
Satellite image Processing Seminar Report
Satellite image Processing Seminar ReportSatellite image Processing Seminar Report
Satellite image Processing Seminar Reportalok ray
 
An Unsupervised Change Detection in Satellite IMAGES Using MRFFCM Clustering
An Unsupervised Change Detection in Satellite IMAGES Using MRFFCM ClusteringAn Unsupervised Change Detection in Satellite IMAGES Using MRFFCM Clustering
An Unsupervised Change Detection in Satellite IMAGES Using MRFFCM ClusteringEditor IJCATR
 
Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative...
Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative...Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative...
Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative...Dibya Jyoti Bora
 
REGION CLASSIFICATION AND CHANGE DETECTION USING LANSAT-8 IMAGES
REGION CLASSIFICATION AND CHANGE DETECTION USING LANSAT-8 IMAGESREGION CLASSIFICATION AND CHANGE DETECTION USING LANSAT-8 IMAGES
REGION CLASSIFICATION AND CHANGE DETECTION USING LANSAT-8 IMAGESADEIJ Journal
 
Forest Change Detection in incomplete satellite images with deep neural networks
Forest Change Detection in incomplete satellite images with deep neural networksForest Change Detection in incomplete satellite images with deep neural networks
Forest Change Detection in incomplete satellite images with deep neural networksAatif Sohail
 
OBIA on Coastal Landform Based on Structure Tensor
OBIA on Coastal Landform Based on Structure Tensor OBIA on Coastal Landform Based on Structure Tensor
OBIA on Coastal Landform Based on Structure Tensor csandit
 
GEOGRAPHIC MAPS CLASSIFICATION BASED ON L*A*B COLOR SYSTEM
GEOGRAPHIC MAPS CLASSIFICATION BASED ON L*A*B COLOR SYSTEMGEOGRAPHIC MAPS CLASSIFICATION BASED ON L*A*B COLOR SYSTEM
GEOGRAPHIC MAPS CLASSIFICATION BASED ON L*A*B COLOR SYSTEMIJCNCJournal
 
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation
Fuzzy Region Merging Using Fuzzy Similarity Measurement  on Image Segmentation  Fuzzy Region Merging Using Fuzzy Similarity Measurement  on Image Segmentation
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation IJECEIAES
 
Noise tolerant color image segmentation using support vector machine
Noise tolerant color image segmentation using support vector machineNoise tolerant color image segmentation using support vector machine
Noise tolerant color image segmentation using support vector machineeSAT Publishing House
 
Accelerated Joint Image Despeckling Algorithm in the Wavelet and Spatial Domains
Accelerated Joint Image Despeckling Algorithm in the Wavelet and Spatial DomainsAccelerated Joint Image Despeckling Algorithm in the Wavelet and Spatial Domains
Accelerated Joint Image Despeckling Algorithm in the Wavelet and Spatial DomainsCSCJournals
 
Automated features extraction from satellite images.
Automated features extraction from satellite images.Automated features extraction from satellite images.
Automated features extraction from satellite images.HimanshuGupta1081
 
Feature Analyst Extraction of Lockheed Martin building using ArcGIS
Feature Analyst Extraction of Lockheed Martin building using ArcGISFeature Analyst Extraction of Lockheed Martin building using ArcGIS
Feature Analyst Extraction of Lockheed Martin building using ArcGISAriez Reyes
 

Similar to Bianchin (20)

A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...
A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...
A New Approach for Multi Index Automatic Change Detection in HR Remotely Sens...
 
Multi sensor data fusion for change detection
Multi sensor data fusion for change detectionMulti sensor data fusion for change detection
Multi sensor data fusion for change detection
 
Lw3620362041
Lw3620362041Lw3620362041
Lw3620362041
 
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...Unsupervised Building Extraction from High Resolution Satellite Images Irresp...
Unsupervised Building Extraction from High Resolution Satellite Images Irresp...
 
spkumar-503report-approved
spkumar-503report-approvedspkumar-503report-approved
spkumar-503report-approved
 
Satellite image Processing Seminar Report
Satellite image Processing Seminar ReportSatellite image Processing Seminar Report
Satellite image Processing Seminar Report
 
Mn3621372142
Mn3621372142Mn3621372142
Mn3621372142
 
B05531119
B05531119B05531119
B05531119
 
An Unsupervised Change Detection in Satellite IMAGES Using MRFFCM Clustering
An Unsupervised Change Detection in Satellite IMAGES Using MRFFCM ClusteringAn Unsupervised Change Detection in Satellite IMAGES Using MRFFCM Clustering
An Unsupervised Change Detection in Satellite IMAGES Using MRFFCM Clustering
 
Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative...
Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative...Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative...
Multispectral Satellite Color Image Segmentation Using Fuzzy Based Innovative...
 
REGION CLASSIFICATION AND CHANGE DETECTION USING LANSAT-8 IMAGES
REGION CLASSIFICATION AND CHANGE DETECTION USING LANSAT-8 IMAGESREGION CLASSIFICATION AND CHANGE DETECTION USING LANSAT-8 IMAGES
REGION CLASSIFICATION AND CHANGE DETECTION USING LANSAT-8 IMAGES
 
Forest Change Detection in incomplete satellite images with deep neural networks
Forest Change Detection in incomplete satellite images with deep neural networksForest Change Detection in incomplete satellite images with deep neural networks
Forest Change Detection in incomplete satellite images with deep neural networks
 
OBIA on Coastal Landform Based on Structure Tensor
OBIA on Coastal Landform Based on Structure Tensor OBIA on Coastal Landform Based on Structure Tensor
OBIA on Coastal Landform Based on Structure Tensor
 
GEOGRAPHIC MAPS CLASSIFICATION BASED ON L*A*B COLOR SYSTEM
GEOGRAPHIC MAPS CLASSIFICATION BASED ON L*A*B COLOR SYSTEMGEOGRAPHIC MAPS CLASSIFICATION BASED ON L*A*B COLOR SYSTEM
GEOGRAPHIC MAPS CLASSIFICATION BASED ON L*A*B COLOR SYSTEM
 
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation
Fuzzy Region Merging Using Fuzzy Similarity Measurement  on Image Segmentation  Fuzzy Region Merging Using Fuzzy Similarity Measurement  on Image Segmentation
Fuzzy Region Merging Using Fuzzy Similarity Measurement on Image Segmentation
 
sheeba 1.pptx
sheeba 1.pptxsheeba 1.pptx
sheeba 1.pptx
 
Noise tolerant color image segmentation using support vector machine
Noise tolerant color image segmentation using support vector machineNoise tolerant color image segmentation using support vector machine
Noise tolerant color image segmentation using support vector machine
 
Accelerated Joint Image Despeckling Algorithm in the Wavelet and Spatial Domains
Accelerated Joint Image Despeckling Algorithm in the Wavelet and Spatial DomainsAccelerated Joint Image Despeckling Algorithm in the Wavelet and Spatial Domains
Accelerated Joint Image Despeckling Algorithm in the Wavelet and Spatial Domains
 
Automated features extraction from satellite images.
Automated features extraction from satellite images.Automated features extraction from satellite images.
Automated features extraction from satellite images.
 
Feature Analyst Extraction of Lockheed Martin building using ArcGIS
Feature Analyst Extraction of Lockheed Martin building using ArcGISFeature Analyst Extraction of Lockheed Martin building using ArcGIS
Feature Analyst Extraction of Lockheed Martin building using ArcGIS
 

More from Beniamino Murgante

Analyzing and assessing ecological transition in building sustainable cities
Analyzing and assessing ecological transition in building sustainable citiesAnalyzing and assessing ecological transition in building sustainable cities
Analyzing and assessing ecological transition in building sustainable citiesBeniamino Murgante
 
Smart Cities: New Science for the Cities
Smart Cities: New Science for the CitiesSmart Cities: New Science for the Cities
Smart Cities: New Science for the CitiesBeniamino Murgante
 
The evolution of spatial analysis and modeling in decision processes
The evolution of spatial analysis and modeling in decision processesThe evolution of spatial analysis and modeling in decision processes
The evolution of spatial analysis and modeling in decision processesBeniamino Murgante
 
Involving citizens in smart energy approaches: the experience of an energy pa...
Involving citizens in smart energy approaches: the experience of an energy pa...Involving citizens in smart energy approaches: the experience of an energy pa...
Involving citizens in smart energy approaches: the experience of an energy pa...Beniamino Murgante
 
Programmazione per la governance territoriale in tema di tutela della biodive...
Programmazione per la governance territoriale in tema di tutela della biodive...Programmazione per la governance territoriale in tema di tutela della biodive...
Programmazione per la governance territoriale in tema di tutela della biodive...Beniamino Murgante
 
Involving Citizens in a Participation Process for Increasing Walkability
Involving Citizens in a Participation Process for Increasing WalkabilityInvolving Citizens in a Participation Process for Increasing Walkability
Involving Citizens in a Participation Process for Increasing WalkabilityBeniamino Murgante
 
Presentation of ICCSA 2019 at the University of Saint petersburg
Presentation of ICCSA 2019 at the University of Saint petersburg Presentation of ICCSA 2019 at the University of Saint petersburg
Presentation of ICCSA 2019 at the University of Saint petersburg Beniamino Murgante
 
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...Beniamino Murgante
 
Presentation of ICCSA 2017 at the University of trieste
Presentation of ICCSA 2017 at the University of triestePresentation of ICCSA 2017 at the University of trieste
Presentation of ICCSA 2017 at the University of triesteBeniamino Murgante
 
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...Beniamino Murgante
 
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...Beniamino Murgante
 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector Beniamino Murgante
 
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...Beniamino Murgante
 
Garden in motion. An experience of citizens involvement in public space regen...
Garden in motion. An experience of citizens involvement in public space regen...Garden in motion. An experience of citizens involvement in public space regen...
Garden in motion. An experience of citizens involvement in public space regen...Beniamino Murgante
 
Planning and Smartness: the true challenge
Planning and Smartness: the true challengePlanning and Smartness: the true challenge
Planning and Smartness: the true challengeBeniamino Murgante
 
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...Beniamino Murgante
 
Informazione Geografica, Città, Smartness
Informazione Geografica, Città, Smartness Informazione Geografica, Città, Smartness
Informazione Geografica, Città, Smartness Beniamino Murgante
 
Tecnologie, Territorio, Smartness
Tecnologie, Territorio, SmartnessTecnologie, Territorio, Smartness
Tecnologie, Territorio, SmartnessBeniamino Murgante
 

More from Beniamino Murgante (20)

Analyzing and assessing ecological transition in building sustainable cities
Analyzing and assessing ecological transition in building sustainable citiesAnalyzing and assessing ecological transition in building sustainable cities
Analyzing and assessing ecological transition in building sustainable cities
 
Smart Cities: New Science for the Cities
Smart Cities: New Science for the CitiesSmart Cities: New Science for the Cities
Smart Cities: New Science for the Cities
 
The evolution of spatial analysis and modeling in decision processes
The evolution of spatial analysis and modeling in decision processesThe evolution of spatial analysis and modeling in decision processes
The evolution of spatial analysis and modeling in decision processes
 
Smart City or Urban Science?
Smart City or Urban Science?Smart City or Urban Science?
Smart City or Urban Science?
 
Involving citizens in smart energy approaches: the experience of an energy pa...
Involving citizens in smart energy approaches: the experience of an energy pa...Involving citizens in smart energy approaches: the experience of an energy pa...
Involving citizens in smart energy approaches: the experience of an energy pa...
 
Programmazione per la governance territoriale in tema di tutela della biodive...
Programmazione per la governance territoriale in tema di tutela della biodive...Programmazione per la governance territoriale in tema di tutela della biodive...
Programmazione per la governance territoriale in tema di tutela della biodive...
 
Involving Citizens in a Participation Process for Increasing Walkability
Involving Citizens in a Participation Process for Increasing WalkabilityInvolving Citizens in a Participation Process for Increasing Walkability
Involving Citizens in a Participation Process for Increasing Walkability
 
Presentation of ICCSA 2019 at the University of Saint petersburg
Presentation of ICCSA 2019 at the University of Saint petersburg Presentation of ICCSA 2019 at the University of Saint petersburg
Presentation of ICCSA 2019 at the University of Saint petersburg
 
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...
 
Presentation of ICCSA 2017 at the University of trieste
Presentation of ICCSA 2017 at the University of triestePresentation of ICCSA 2017 at the University of trieste
Presentation of ICCSA 2017 at the University of trieste
 
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
 
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...
 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
Socio-Economic Planning profiles: Sciences VS Daily activities in public sector 
 
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...
 
Garden in motion. An experience of citizens involvement in public space regen...
Garden in motion. An experience of citizens involvement in public space regen...Garden in motion. An experience of citizens involvement in public space regen...
Garden in motion. An experience of citizens involvement in public space regen...
 
Planning and Smartness: the true challenge
Planning and Smartness: the true challengePlanning and Smartness: the true challenge
Planning and Smartness: the true challenge
 
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
GeoSDI: una piattaforma social di dati geografici basata sui principi di INSP...
 
Murgante smart energy
Murgante smart energyMurgante smart energy
Murgante smart energy
 
Informazione Geografica, Città, Smartness
Informazione Geografica, Città, Smartness Informazione Geografica, Città, Smartness
Informazione Geografica, Città, Smartness
 
Tecnologie, Territorio, Smartness
Tecnologie, Territorio, SmartnessTecnologie, Territorio, Smartness
Tecnologie, Territorio, Smartness
 

Recently uploaded

How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxLoriGlavin3
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersRaghuram Pandurangan
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfMounikaPolabathina
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 

Recently uploaded (20)

How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptxA Deep Dive on Passkeys: FIDO Paris Seminar.pptx
A Deep Dive on Passkeys: FIDO Paris Seminar.pptx
 
Generative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information DevelopersGenerative AI for Technical Writer or Information Developers
Generative AI for Technical Writer or Information Developers
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
What is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdfWhat is DBT - The Ultimate Data Build Tool.pdf
What is DBT - The Ultimate Data Build Tool.pdf
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 

Bianchin

  • 1. REMOTE SENSING AND URBAN ANALYSIS A. Bianchin, L. Bravin GEDDeS Laboratory – Planning Department University IUAV of Venice
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. IMAGES Landsat7 ETM+, Spatial resolution 30 m R:4;G:3,B:2 SPOT 4 Spatial resolution 10 m PAN IKONOS Spatial resolution 1 m R:4;G:3,B:2
  • 14. BUILT SURFACES Landsat 7 Spatial resolution 30 m SPOT 4 Spatial resolution 10 m IKONOS Spatial resolution 1 m
  • 15.
  • 16. Landsat OverallAccuracy 354/400=88,5% Spot OverallAccuracy 340/400=85,00% IKONOS OverallAccuracy 363/400=90,75%
  • 17.
  • 19. 1. BUILT AREA SURFACE
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25. In blue : Distribution of each density class of Spot into IKONOS classes. (percentage values) In pink: Distribution of each density class of IKONOS into Spot classes (percentage values) Cross table Graphic representation of cross table
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31. 1_compact core; 2_suburban area; 3_connection area; 4_scattered settlements; 5_ industrial area
  • 32. Study Area Indexes for the 5 sub-areas 1-2 Concentrated urban areas: uniform and compact in Landsat and Spot; a dense set of single elements in IKONOS. 3-4 Fragmented areas are represented by numerous patches spread over the territory whose minimum size is defined by pixel size. 5 Representation of industrial area similar over scales, shaped into a set of medium-wide sized patches
  • 33.
  • 34.