SlideShare a Scribd company logo
Analysis of Relief Diversity. The Example of Saxon 
Switzerland National Park 
Hiba Idris 
Supervisor Prof. Dr. Manfred Buchroithner 
Institute for Cartography 20.10.14
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Objective 
 Analyze the relief diversity in the study area using the ArcGIS 
softwareand patch analyst extension 
 Produce a final output map presents the degree of the relief intensity 
in area which covering a part of Saxon Switzerland, using ARCMAP. 
DEM’s and layer files will be included to produce several maps, all data 
gathered will be organized and compiled in a database
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
The Study Area 
 East Germany, Saxon Switzerland 
 Total area of 81.36 km² 
 Range of Elevation 300 m 
 Krippen, Bad Schandau, and Kirnitzschtal 
 Covered by The National Park Saxon Switzerland
The Study Area Location
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
The Study Area 
• The area of interest for this study is a part of Saxon Switzerland National Park 
Region “Sächsische Schweiz” which is exemplified by the national park region 
Saxon Switzerland (398 km²), and consists of a national park (93.5 km²) and a 
surrounding landscape conservation area (287.5 km²) 
• The selected study area has a total area of (81.36 km²) 
• The topography of the area is characterized by its sandstone rocks “Elbe 
Sandstone Mountains”, The Elbe River breaks through the mountain range in a 
steep and narrow valley; therefore, the region involves a complex distribution of 
rocky mountains, plains, hills, valleys and Elbe valley 
• The Saxon Switzerland is an intensively fissured and rocky canyon landscape. 
The highest peak of the National Park is at 556 meters above sea level but only 
in short distance to the valley of the Elbe river at 110 to 120 m (Wächter and 
Boehnert 1998)
u 
Color-coded DEM visualization of study area
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Data Processing 
1. Provision of IRS Imagery Provided by Dresden IRP in Arc info 
format 
2. The Raster calculator tool within ARC/MAP 
3. Detailed Relive Analyses using Patch Analyst extension of Arc Map
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
What is Patch Analyst for ArcGIS 
 Tool for quantifying landscape structure 
 Extension to the ArcGIS® software system that facilitates the spatial analysis of 
landscape patches and the modeling of attributes associated with patches 
 Used for spatial pattern analysis 
 Includes capabilities to characterize patch pattern and the ability to assign patch values 
based on combinations of patch attributes
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
The Hexagon Regions Lattice Used In Patch Analyst
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
What can it be used for ? 
Patch Analyst allows the data to be analyzed within three levels of hierarchy: 
1. Landscape relates to all the patches, polygons, contiguous cells or shapes 
in a view or theme 
2. Classes relate to all the patches, polygons, contiguous cells or shapes in a 
theme, view or landscape that have the same value for a given attribute 
3. Patches relate to the individual polygons or contiguous set of cells or 
shapes. Each patch has a separate record or row in the theme attribute table
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Why Relief diversity Index 
 The practical meaning of the landscape evaluation is spatial 
development used for the for the tourism activities 
 The relief diversity index used with set indexes which reflects the 
aesthetical value of the landscape
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Shannon's Diversity Index (SDI) 
• Used to measure relief intensity in categorical data or the proportional 
abundance of each patch type within the landscape 
• only available at the landscape level and is a relative measure of patch 
diversity 
• The advantage of this index is that it takes into account the number of 
species and the evenness of the elevation classes
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
• ni The number of individuals in species i; the abundance of species i. 
• S The number of species. Also called species richness. 
• N The total number of all individuals 
• pi The relative abundance of each species, calculated as the proportion 
of individuals of a given species to the total number of individuals in the 
community:
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Input Data 
 IRS / 5m x 5m 
 NPSS: DEM /10m x10m 
 NPSS: Regional location 
map 
 NPSS: Administrative 
boundaries 
 NPSS: Land use map 
 NPSS: Topographic Maps 
1/ 25000
DTM 
Spatial Analyst 
Landscape Fragmentation 
Patch Analyst 
Landscape Metrics 
Spatial Analyst 
Relief Diversity Map
Spatial Analyst 
Patch Analyst Landscape Fragmentation 
Spatial Analyst 
DDEEMM 
RReelileief fD Diviveersrsitiyty M Maapp 
Calculation of the relief diversity index 
Applying 
Spatial Statistics 
(by Regions) 
Calculation the 
SHDI Index 
Combining 
Regions Extraction 
Joining tables 
Joined table 
Individual Region 
Set of tables 
Author‘s design 
Slope Aspect Ver. Curvature 
Slope classes Aspect classes Ver. Curvature classes 
Patches/ Regions 
Ranging 
Clipping
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Shannon's Diversity Index Classes
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Combination of Slope, Aspect and Curvature
Slope Classes Map
Aspect Classes Map
Vertical Curvature Classes Map
Map of Comined Relief Parameters
Shannon's D iversity Indices
Relief Diversity Map
Relief Deversity
Relief Diversity
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Conclusions 
 The region displays high to very high relief diversity 
 Low values cover only 5% of the study area (inside the National Park ) 
 High and very high diversity values exclude agricultural and areas and 
settlements areas 
 Along the Elbe Valley: high values
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Benefits 
 Allow to analytically derive morph graphic features (such as slope, aspect, 
curvature, etc.) 
 Allow to create value-added map products 
 The assessment of spatial landscape diversity and relief diversity could be easier 
and faster 
 A lot of parameters could be carried out 
 External nets, regions, analyses units could be exported, then joined with patch 
tools 
 possibility to derive small units which could match other statistical parameters 
 The opportunity to explore such possibilities within Patch Analyst was not hard to 
perform
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Weak points and limitations 
 Does not include the landscape fragmentation function 
 NO tool to represent the final calculated output 
 Executing some processes requires computing times too long for 
smaller computers 
Embedding of the study 
Small exercise dealing with quantization of landscape metrics 
Overall objective: landscape aesthetics in relation to the recreational 
value
Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park 
Hiba Idris 20.10.14 
Embedding of the study 
•Embedding of the study 
•Small exercise dealing with quantization of landscape metrics 
•Overall objective: landscape aesthetics in relation to the 
recreational value
Thank you 
Thank you

More Related Content

What's hot

Modelling Landscape Changes and Detecting Land Cover Types by Means of the Re...
Modelling Landscape Changes and Detecting Land Cover Types by Means of the Re...Modelling Landscape Changes and Detecting Land Cover Types by Means of the Re...
Modelling Landscape Changes and Detecting Land Cover Types by Means of the Re...
Universität Salzburg
 
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
  TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE  TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
grssieee
 
IGARSS__RTC.pptx
IGARSS__RTC.pptxIGARSS__RTC.pptx
IGARSS__RTC.pptx
grssieee
 
Bouvet_IGARSS2011.ppt
Bouvet_IGARSS2011.pptBouvet_IGARSS2011.ppt
Bouvet_IGARSS2011.ppt
grssieee
 
Ieee gold angiati
Ieee gold angiatiIeee gold angiati
Ieee gold angiati
grssieee
 
Arc gis introduction-ppt
Arc gis introduction-pptArc gis introduction-ppt
Arc gis introduction-ppt
Ashok Peddi
 

What's hot (18)

Watershed Delineation Using ArcMap
Watershed Delineation Using ArcMapWatershed Delineation Using ArcMap
Watershed Delineation Using ArcMap
 
Modelling Landscape Changes and Detecting Land Cover Types by Means of the Re...
Modelling Landscape Changes and Detecting Land Cover Types by Means of the Re...Modelling Landscape Changes and Detecting Land Cover Types by Means of the Re...
Modelling Landscape Changes and Detecting Land Cover Types by Means of the Re...
 
Digital Soil Mapping–Capacity Building Course- Lecture1
Digital Soil Mapping–Capacity Building Course- Lecture1Digital Soil Mapping–Capacity Building Course- Lecture1
Digital Soil Mapping–Capacity Building Course- Lecture1
 
Thesis defense
Thesis defenseThesis defense
Thesis defense
 
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
  TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE  TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
TH4.L10.1: SMOS SMAP SYNERGISMS FOR THE RETRIEVAL OF SOIL MOISTURE
 
Watershed Delineation in ArcGIS
Watershed Delineation in ArcGISWatershed Delineation in ArcGIS
Watershed Delineation in ArcGIS
 
IGARSS__RTC.pptx
IGARSS__RTC.pptxIGARSS__RTC.pptx
IGARSS__RTC.pptx
 
Map design in GIS
Map design in GISMap design in GIS
Map design in GIS
 
Floodplain Modeling with LiDAR-Derived Terrain
Floodplain Modeling with LiDAR-Derived TerrainFloodplain Modeling with LiDAR-Derived Terrain
Floodplain Modeling with LiDAR-Derived Terrain
 
Bouvet_IGARSS2011.ppt
Bouvet_IGARSS2011.pptBouvet_IGARSS2011.ppt
Bouvet_IGARSS2011.ppt
 
#5/9: A plea for survey precision
#5/9: A plea for survey precision#5/9: A plea for survey precision
#5/9: A plea for survey precision
 
Digital Soil Mapping–Capacity Building Course- Introduction
Digital Soil Mapping–Capacity Building Course- IntroductionDigital Soil Mapping–Capacity Building Course- Introduction
Digital Soil Mapping–Capacity Building Course- Introduction
 
Land use cover pptx.
Land use cover pptx.Land use cover pptx.
Land use cover pptx.
 
e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...
e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...
e-SOTER Regional pilot platform as EU contribution to a Global Soil observing...
 
Presentation karissa reischke
Presentation karissa reischkePresentation karissa reischke
Presentation karissa reischke
 
Ieee gold angiati
Ieee gold angiatiIeee gold angiati
Ieee gold angiati
 
Open Source Work-flow for Surface Interpolation with Curvilinear Anisotropy
Open Source Work-flow for Surface Interpolation with Curvilinear AnisotropyOpen Source Work-flow for Surface Interpolation with Curvilinear Anisotropy
Open Source Work-flow for Surface Interpolation with Curvilinear Anisotropy
 
Arc gis introduction-ppt
Arc gis introduction-pptArc gis introduction-ppt
Arc gis introduction-ppt
 

Viewers also liked

OGiC - Menno-Jan Kraak - Maps and time
OGiC - Menno-Jan Kraak - Maps and timeOGiC - Menno-Jan Kraak - Maps and time
OGiC - Menno-Jan Kraak - Maps and time
swenney
 
Menno-Jan Kraak - The time wave
Menno-Jan Kraak - The time waveMenno-Jan Kraak - The time wave
Menno-Jan Kraak - The time wave
swenney
 

Viewers also liked (9)

OGiC - Manfred Buchroithner - Karst caves in tropical jungle: 3D mapping and ...
OGiC - Manfred Buchroithner - Karst caves in tropical jungle: 3D mapping and ...OGiC - Manfred Buchroithner - Karst caves in tropical jungle: 3D mapping and ...
OGiC - Manfred Buchroithner - Karst caves in tropical jungle: 3D mapping and ...
 
Workshop - Hajek+Jedlicka - Jak exportovat sémantická data ze SketchUp
Workshop - Hajek+Jedlicka - Jak exportovat sémantická data ze SketchUpWorkshop - Hajek+Jedlicka - Jak exportovat sémantická data ze SketchUp
Workshop - Hajek+Jedlicka - Jak exportovat sémantická data ze SketchUp
 
OGiC - Menno-Jan Kraak - Maps and time
OGiC - Menno-Jan Kraak - Maps and timeOGiC - Menno-Jan Kraak - Maps and time
OGiC - Menno-Jan Kraak - Maps and time
 
Ooms - Cognitive user evaluation of digital maps: findings and challenges
Ooms - Cognitive user evaluation of digital maps: findings and challengesOoms - Cognitive user evaluation of digital maps: findings and challenges
Ooms - Cognitive user evaluation of digital maps: findings and challenges
 
Menno-Jan Kraak - The time wave
Menno-Jan Kraak - The time waveMenno-Jan Kraak - The time wave
Menno-Jan Kraak - The time wave
 
Workshop - Stachon - Staré mapy v praxi
Workshop - Stachon - Staré mapy v praxiWorkshop - Stachon - Staré mapy v praxi
Workshop - Stachon - Staré mapy v praxi
 
OGiC - Kristien Ooms - Eye tracking in the Geo-domain: a perception on cartog...
OGiC - Kristien Ooms - Eye tracking in the Geo-domain: a perception on cartog...OGiC - Kristien Ooms - Eye tracking in the Geo-domain: a perception on cartog...
OGiC - Kristien Ooms - Eye tracking in the Geo-domain: a perception on cartog...
 
Workshop - Ruzicka - Webové mapy prakticky
Workshop - Ruzicka - Webové mapy praktickyWorkshop - Ruzicka - Webové mapy prakticky
Workshop - Ruzicka - Webové mapy prakticky
 
Buchroithner - Multitemporal remote sensing-based 3D mapping of glacier chang...
Buchroithner - Multitemporal remote sensing-based 3D mapping of glacier chang...Buchroithner - Multitemporal remote sensing-based 3D mapping of glacier chang...
Buchroithner - Multitemporal remote sensing-based 3D mapping of glacier chang...
 

Similar to Hiba idris - GIS Based Visualisation of the Aesthetic Value of The Landscapes. The Example of Saxon Switzerland

Final Project Update
Final Project UpdateFinal Project Update
Final Project Update
molivos
 
Reeves: Modelling & Estimating Forest Structure Attributes Using LiDAR
Reeves: Modelling & Estimating Forest Structure Attributes Using LiDARReeves: Modelling & Estimating Forest Structure Attributes Using LiDAR
Reeves: Modelling & Estimating Forest Structure Attributes Using LiDAR
COGS Presentations
 
Spatial analysis for the assessment of the environmental changes in the lands...
Spatial analysis for the assessment of the environmental changes in the lands...Spatial analysis for the assessment of the environmental changes in the lands...
Spatial analysis for the assessment of the environmental changes in the lands...
Universität Salzburg
 
InteriorForestAnalysisProcedure
InteriorForestAnalysisProcedureInteriorForestAnalysisProcedure
InteriorForestAnalysisProcedure
Tammy Kobliuk
 
Shadow Removal of Individual Tree Crowns in a High Resolution Satellite Imagery
Shadow Removal of Individual Tree Crowns in a High Resolution Satellite ImageryShadow Removal of Individual Tree Crowns in a High Resolution Satellite Imagery
Shadow Removal of Individual Tree Crowns in a High Resolution Satellite Imagery
IJMTST Journal
 
Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.ppt
Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.pptIntegration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.ppt
Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.ppt
grssieee
 

Similar to Hiba idris - GIS Based Visualisation of the Aesthetic Value of The Landscapes. The Example of Saxon Switzerland (20)

Spatial tools for LiDAR based watershed management and forestry analysis
Spatial tools for LiDAR based watershed management and forestry analysisSpatial tools for LiDAR based watershed management and forestry analysis
Spatial tools for LiDAR based watershed management and forestry analysis
 
Final Project Update
Final Project UpdateFinal Project Update
Final Project Update
 
Presentation: Fee & Brigley
Presentation: Fee & BrigleyPresentation: Fee & Brigley
Presentation: Fee & Brigley
 
Reeves: Modelling & Estimating Forest Structure Attributes Using LiDAR
Reeves: Modelling & Estimating Forest Structure Attributes Using LiDARReeves: Modelling & Estimating Forest Structure Attributes Using LiDAR
Reeves: Modelling & Estimating Forest Structure Attributes Using LiDAR
 
LESTO tools in JGrassToolbox
LESTO tools in JGrassToolboxLESTO tools in JGrassToolbox
LESTO tools in JGrassToolbox
 
Participatory GIS for collaborative deer management
Participatory GIS for collaborative deer managementParticipatory GIS for collaborative deer management
Participatory GIS for collaborative deer management
 
2015 FOSS4G Track: Analyzing Aspen's Community Forest with Lidar, Object-Base...
2015 FOSS4G Track: Analyzing Aspen's Community Forest with Lidar, Object-Base...2015 FOSS4G Track: Analyzing Aspen's Community Forest with Lidar, Object-Base...
2015 FOSS4G Track: Analyzing Aspen's Community Forest with Lidar, Object-Base...
 
Large Scale Forest Taxation based on Single Tree Measurements by means of Air...
Large Scale Forest Taxation based on Single Tree Measurements by means of Air...Large Scale Forest Taxation based on Single Tree Measurements by means of Air...
Large Scale Forest Taxation based on Single Tree Measurements by means of Air...
 
Habitat suitability of One horned Rhinoceros using GIS.pptx
Habitat suitability of One horned Rhinoceros using GIS.pptxHabitat suitability of One horned Rhinoceros using GIS.pptx
Habitat suitability of One horned Rhinoceros using GIS.pptx
 
Copernicus Land Moniotring Service Portfolio
Copernicus Land Moniotring Service PortfolioCopernicus Land Moniotring Service Portfolio
Copernicus Land Moniotring Service Portfolio
 
Environmental Remote Sensing
 Environmental Remote Sensing  Environmental Remote Sensing
Environmental Remote Sensing
 
Spatial analysis for the assessment of the environmental changes in the lands...
Spatial analysis for the assessment of the environmental changes in the lands...Spatial analysis for the assessment of the environmental changes in the lands...
Spatial analysis for the assessment of the environmental changes in the lands...
 
InteriorForestAnalysisProcedure
InteriorForestAnalysisProcedureInteriorForestAnalysisProcedure
InteriorForestAnalysisProcedure
 
4.2 spatial data mining
4.2 spatial data mining4.2 spatial data mining
4.2 spatial data mining
 
Cost-Effective Raster Image Processing for Geoecological Analysis Using “ISOC...
Cost-Effective Raster Image Processing for Geoecological Analysis Using “ISOC...Cost-Effective Raster Image Processing for Geoecological Analysis Using “ISOC...
Cost-Effective Raster Image Processing for Geoecological Analysis Using “ISOC...
 
Shadow Removal of Individual Tree Crowns in a High Resolution Satellite Imagery
Shadow Removal of Individual Tree Crowns in a High Resolution Satellite ImageryShadow Removal of Individual Tree Crowns in a High Resolution Satellite Imagery
Shadow Removal of Individual Tree Crowns in a High Resolution Satellite Imagery
 
Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.ppt
Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.pptIntegration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.ppt
Integration of Colorized Single-Pol SAR Data Into Optical Image Mosaics.ppt
 
Image enhancement technique digital image analysis, in remote sensing ,P K MANI
Image enhancement technique  digital image analysis, in remote sensing ,P K MANIImage enhancement technique  digital image analysis, in remote sensing ,P K MANI
Image enhancement technique digital image analysis, in remote sensing ,P K MANI
 
Fragmentation revisited 050902
Fragmentation revisited 050902Fragmentation revisited 050902
Fragmentation revisited 050902
 
Performance of RGB and L Base Supervised Classification Technique Using Multi...
Performance of RGB and L Base Supervised Classification Technique Using Multi...Performance of RGB and L Base Supervised Classification Technique Using Multi...
Performance of RGB and L Base Supervised Classification Technique Using Multi...
 

More from swenney

VARS Brno
VARS BrnoVARS Brno
VARS Brno
swenney
 
Rostislav Nétek - Designing of Smart Client for Fire Brigade of Olomouc Region
Rostislav Nétek - Designing of Smart Client for Fire Brigade of Olomouc RegionRostislav Nétek - Designing of Smart Client for Fire Brigade of Olomouc Region
Rostislav Nétek - Designing of Smart Client for Fire Brigade of Olomouc Region
swenney
 
Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammet...
Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammet...Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammet...
Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammet...
swenney
 
Vít Pászto - Rural and urban areas delimitation using fuzzy inference system
Vít Pászto	- Rural and urban areas delimitation using fuzzy inference systemVít Pászto	- Rural and urban areas delimitation using fuzzy inference system
Vít Pászto - Rural and urban areas delimitation using fuzzy inference system
swenney
 
Itzhak Benenson - OGiC - Shortest path and service area algorithms and their ...
Itzhak Benenson - OGiC - Shortest path and service area algorithms and their ...Itzhak Benenson - OGiC - Shortest path and service area algorithms and their ...
Itzhak Benenson - OGiC - Shortest path and service area algorithms and their ...
swenney
 

More from swenney (20)

Workshop - Sasinka - Metodologické aspekty empirického výzkumu v oblasti kogn...
Workshop - Sasinka - Metodologické aspekty empirického výzkumu v oblasti kogn...Workshop - Sasinka - Metodologické aspekty empirického výzkumu v oblasti kogn...
Workshop - Sasinka - Metodologické aspekty empirického výzkumu v oblasti kogn...
 
Workshop - Hejlova - Bezdrátová senzorová síť
Workshop - Hejlova - Bezdrátová senzorová síťWorkshop - Hejlova - Bezdrátová senzorová síť
Workshop - Hejlova - Bezdrátová senzorová síť
 
Merickova - Characteristic of the Cognition of Military Pilots: A Geographic ...
Merickova - Characteristic of the Cognition of Military Pilots: A Geographic ...Merickova - Characteristic of the Cognition of Military Pilots: A Geographic ...
Merickova - Characteristic of the Cognition of Military Pilots: A Geographic ...
 
Vavra - Assessment and visualization of phenological data by using of GIS
Vavra - Assessment and visualization of phenological data by using of GISVavra - Assessment and visualization of phenological data by using of GIS
Vavra - Assessment and visualization of phenological data by using of GIS
 
Popelka - The role of hill-shading in tourist maps: an eye-tracking study
Popelka - The role of hill-shading in tourist maps: an eye-tracking studyPopelka - The role of hill-shading in tourist maps: an eye-tracking study
Popelka - The role of hill-shading in tourist maps: an eye-tracking study
 
Brychtova - Evaluation of colour schemes usability in Atlas of the Phenologic...
Brychtova - Evaluation of colour schemes usability in Atlas of the Phenologic...Brychtova - Evaluation of colour schemes usability in Atlas of the Phenologic...
Brychtova - Evaluation of colour schemes usability in Atlas of the Phenologic...
 
Caha - Visibility on a fuzzy surface: A case study
Caha - Visibility on a fuzzy surface: A case studyCaha - Visibility on a fuzzy surface: A case study
Caha - Visibility on a fuzzy surface: A case study
 
Dolezalova - Optimizing colors for effective visualization of geographic data
Dolezalova - Optimizing colors for effective visualization of geographic dataDolezalova - Optimizing colors for effective visualization of geographic data
Dolezalova - Optimizing colors for effective visualization of geographic data
 
Zajickova - Changes in the public service transport network in the Olomouc Re...
Zajickova - Changes in the public service transport network in the Olomouc Re...Zajickova - Changes in the public service transport network in the Olomouc Re...
Zajickova - Changes in the public service transport network in the Olomouc Re...
 
Hejlova - Parametres of WSN for temperature monitoring
Hejlova - Parametres of WSN for temperature monitoringHejlova - Parametres of WSN for temperature monitoring
Hejlova - Parametres of WSN for temperature monitoring
 
Netek - On-screen Editing of Map Content via Web Browser in Real Time
 Netek - On-screen Editing of Map Content via Web Browser in Real Time Netek - On-screen Editing of Map Content via Web Browser in Real Time
Netek - On-screen Editing of Map Content via Web Browser in Real Time
 
Samec - Regression analysis of relations among main Quaternary environmental ...
Samec - Regression analysis of relations among main Quaternary environmental ...Samec - Regression analysis of relations among main Quaternary environmental ...
Samec - Regression analysis of relations among main Quaternary environmental ...
 
Paszto - Fractal dimension of the Czech road network
Paszto - Fractal dimension of the Czech road networkPaszto - Fractal dimension of the Czech road network
Paszto - Fractal dimension of the Czech road network
 
Marek - Spatial analyses of health data: From points to models
Marek - Spatial analyses of health data: From points to modelsMarek - Spatial analyses of health data: From points to models
Marek - Spatial analyses of health data: From points to models
 
Janoska - Methods for Description of Distribution of Species Obtained by Quad...
Janoska - Methods for Description of Distribution of Species Obtained by Quad...Janoska - Methods for Description of Distribution of Species Obtained by Quad...
Janoska - Methods for Description of Distribution of Species Obtained by Quad...
 
VARS Brno
VARS BrnoVARS Brno
VARS Brno
 
Rostislav Nétek - Designing of Smart Client for Fire Brigade of Olomouc Region
Rostislav Nétek - Designing of Smart Client for Fire Brigade of Olomouc RegionRostislav Nétek - Designing of Smart Client for Fire Brigade of Olomouc Region
Rostislav Nétek - Designing of Smart Client for Fire Brigade of Olomouc Region
 
Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammet...
Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammet...Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammet...
Jakub Miřijovský - Monitoring of the shallow landslide using UAV photogrammet...
 
Vít Pászto - Rural and urban areas delimitation using fuzzy inference system
Vít Pászto	- Rural and urban areas delimitation using fuzzy inference systemVít Pászto	- Rural and urban areas delimitation using fuzzy inference system
Vít Pászto - Rural and urban areas delimitation using fuzzy inference system
 
Itzhak Benenson - OGiC - Shortest path and service area algorithms and their ...
Itzhak Benenson - OGiC - Shortest path and service area algorithms and their ...Itzhak Benenson - OGiC - Shortest path and service area algorithms and their ...
Itzhak Benenson - OGiC - Shortest path and service area algorithms and their ...
 

Recently uploaded

一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
ewymefz
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
enxupq
 
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Domenico Conte
 
Opendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptxOpendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptx
Opendatabay
 
Computer Presentation.pptx ecommerce advantage s
Computer Presentation.pptx ecommerce advantage sComputer Presentation.pptx ecommerce advantage s
Computer Presentation.pptx ecommerce advantage s
MAQIB18
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
yhkoc
 
Investigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_CrimesInvestigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_Crimes
StarCompliance.io
 
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
nscud
 
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
ewymefz
 
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
nscud
 

Recently uploaded (20)

一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单
 
一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单一比一原版(YU毕业证)约克大学毕业证成绩单
一比一原版(YU毕业证)约克大学毕业证成绩单
 
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflictSupply chain analytics to combat the effects of Ukraine-Russia-conflict
Supply chain analytics to combat the effects of Ukraine-Russia-conflict
 
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
Professional Data Engineer Certification Exam Guide  _  Learn  _  Google Clou...
 
社内勉強会資料_LLM Agents                              .
社内勉強会資料_LLM Agents                              .社内勉強会資料_LLM Agents                              .
社内勉強会資料_LLM Agents                              .
 
Opendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptxOpendatabay - Open Data Marketplace.pptx
Opendatabay - Open Data Marketplace.pptx
 
Criminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdfCriminal IP - Threat Hunting Webinar.pdf
Criminal IP - Threat Hunting Webinar.pdf
 
tapal brand analysis PPT slide for comptetive data
tapal brand analysis PPT slide for comptetive datatapal brand analysis PPT slide for comptetive data
tapal brand analysis PPT slide for comptetive data
 
Computer Presentation.pptx ecommerce advantage s
Computer Presentation.pptx ecommerce advantage sComputer Presentation.pptx ecommerce advantage s
Computer Presentation.pptx ecommerce advantage s
 
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
一比一原版(CU毕业证)卡尔顿大学毕业证成绩单
 
Investigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_CrimesInvestigate & Recover / StarCompliance.io / Crypto_Crimes
Investigate & Recover / StarCompliance.io / Crypto_Crimes
 
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
一比一原版(CBU毕业证)卡普顿大学毕业证成绩单
 
How can I successfully sell my pi coins in Philippines?
How can I successfully sell my pi coins in Philippines?How can I successfully sell my pi coins in Philippines?
How can I successfully sell my pi coins in Philippines?
 
Q1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year ReboundQ1’2024 Update: MYCI’s Leap Year Rebound
Q1’2024 Update: MYCI’s Leap Year Rebound
 
Tabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflowsTabula.io Cheatsheet: automate your data workflows
Tabula.io Cheatsheet: automate your data workflows
 
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
一比一原版(UPenn毕业证)宾夕法尼亚大学毕业证成绩单
 
Slip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp ClaimsSlip-and-fall Injuries: Top Workers' Comp Claims
Slip-and-fall Injuries: Top Workers' Comp Claims
 
Using PDB Relocation to Move a Single PDB to Another Existing CDB
Using PDB Relocation to Move a Single PDB to Another Existing CDBUsing PDB Relocation to Move a Single PDB to Another Existing CDB
Using PDB Relocation to Move a Single PDB to Another Existing CDB
 
Innovative Methods in Media and Communication Research by Sebastian Kubitschk...
Innovative Methods in Media and Communication Research by Sebastian Kubitschk...Innovative Methods in Media and Communication Research by Sebastian Kubitschk...
Innovative Methods in Media and Communication Research by Sebastian Kubitschk...
 
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
一比一原版(CBU毕业证)不列颠海角大学毕业证成绩单
 

Hiba idris - GIS Based Visualisation of the Aesthetic Value of The Landscapes. The Example of Saxon Switzerland

  • 1. Analysis of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris Supervisor Prof. Dr. Manfred Buchroithner Institute for Cartography 20.10.14
  • 2. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Objective  Analyze the relief diversity in the study area using the ArcGIS softwareand patch analyst extension  Produce a final output map presents the degree of the relief intensity in area which covering a part of Saxon Switzerland, using ARCMAP. DEM’s and layer files will be included to produce several maps, all data gathered will be organized and compiled in a database
  • 3. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 The Study Area  East Germany, Saxon Switzerland  Total area of 81.36 km²  Range of Elevation 300 m  Krippen, Bad Schandau, and Kirnitzschtal  Covered by The National Park Saxon Switzerland
  • 4. The Study Area Location
  • 5. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 The Study Area • The area of interest for this study is a part of Saxon Switzerland National Park Region “Sächsische Schweiz” which is exemplified by the national park region Saxon Switzerland (398 km²), and consists of a national park (93.5 km²) and a surrounding landscape conservation area (287.5 km²) • The selected study area has a total area of (81.36 km²) • The topography of the area is characterized by its sandstone rocks “Elbe Sandstone Mountains”, The Elbe River breaks through the mountain range in a steep and narrow valley; therefore, the region involves a complex distribution of rocky mountains, plains, hills, valleys and Elbe valley • The Saxon Switzerland is an intensively fissured and rocky canyon landscape. The highest peak of the National Park is at 556 meters above sea level but only in short distance to the valley of the Elbe river at 110 to 120 m (Wächter and Boehnert 1998)
  • 6.
  • 7. u Color-coded DEM visualization of study area
  • 8. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Data Processing 1. Provision of IRS Imagery Provided by Dresden IRP in Arc info format 2. The Raster calculator tool within ARC/MAP 3. Detailed Relive Analyses using Patch Analyst extension of Arc Map
  • 9. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 What is Patch Analyst for ArcGIS  Tool for quantifying landscape structure  Extension to the ArcGIS® software system that facilitates the spatial analysis of landscape patches and the modeling of attributes associated with patches  Used for spatial pattern analysis  Includes capabilities to characterize patch pattern and the ability to assign patch values based on combinations of patch attributes
  • 10. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 The Hexagon Regions Lattice Used In Patch Analyst
  • 11. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 What can it be used for ? Patch Analyst allows the data to be analyzed within three levels of hierarchy: 1. Landscape relates to all the patches, polygons, contiguous cells or shapes in a view or theme 2. Classes relate to all the patches, polygons, contiguous cells or shapes in a theme, view or landscape that have the same value for a given attribute 3. Patches relate to the individual polygons or contiguous set of cells or shapes. Each patch has a separate record or row in the theme attribute table
  • 12. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Why Relief diversity Index  The practical meaning of the landscape evaluation is spatial development used for the for the tourism activities  The relief diversity index used with set indexes which reflects the aesthetical value of the landscape
  • 13. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Shannon's Diversity Index (SDI) • Used to measure relief intensity in categorical data or the proportional abundance of each patch type within the landscape • only available at the landscape level and is a relative measure of patch diversity • The advantage of this index is that it takes into account the number of species and the evenness of the elevation classes
  • 14. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 • ni The number of individuals in species i; the abundance of species i. • S The number of species. Also called species richness. • N The total number of all individuals • pi The relative abundance of each species, calculated as the proportion of individuals of a given species to the total number of individuals in the community:
  • 15. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Input Data  IRS / 5m x 5m  NPSS: DEM /10m x10m  NPSS: Regional location map  NPSS: Administrative boundaries  NPSS: Land use map  NPSS: Topographic Maps 1/ 25000
  • 16. DTM Spatial Analyst Landscape Fragmentation Patch Analyst Landscape Metrics Spatial Analyst Relief Diversity Map
  • 17. Spatial Analyst Patch Analyst Landscape Fragmentation Spatial Analyst DDEEMM RReelileief fD Diviveersrsitiyty M Maapp Calculation of the relief diversity index Applying Spatial Statistics (by Regions) Calculation the SHDI Index Combining Regions Extraction Joining tables Joined table Individual Region Set of tables Author‘s design Slope Aspect Ver. Curvature Slope classes Aspect classes Ver. Curvature classes Patches/ Regions Ranging Clipping
  • 18. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Shannon's Diversity Index Classes
  • 19. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Combination of Slope, Aspect and Curvature
  • 23. Map of Comined Relief Parameters
  • 28. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Conclusions  The region displays high to very high relief diversity  Low values cover only 5% of the study area (inside the National Park )  High and very high diversity values exclude agricultural and areas and settlements areas  Along the Elbe Valley: high values
  • 29. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Benefits  Allow to analytically derive morph graphic features (such as slope, aspect, curvature, etc.)  Allow to create value-added map products  The assessment of spatial landscape diversity and relief diversity could be easier and faster  A lot of parameters could be carried out  External nets, regions, analyses units could be exported, then joined with patch tools  possibility to derive small units which could match other statistical parameters  The opportunity to explore such possibilities within Patch Analyst was not hard to perform
  • 30. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Weak points and limitations  Does not include the landscape fragmentation function  NO tool to represent the final calculated output  Executing some processes requires computing times too long for smaller computers Embedding of the study Small exercise dealing with quantization of landscape metrics Overall objective: landscape aesthetics in relation to the recreational value
  • 31. Analysis Of Relief Diversity. The Example of Saxon Switzerland National Park Hiba Idris 20.10.14 Embedding of the study •Embedding of the study •Small exercise dealing with quantization of landscape metrics •Overall objective: landscape aesthetics in relation to the recreational value