Information and Knowledge Management using ArcGIS ModelBuilder

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Teresa Santos, Ségio Freire and José António Tenedório the generalization of the soil polygons using the aggregate polygons tool from ArcGIS. The parameters were merging polygons that distance 2 m, and considering areas grater or equal to 100 m 2 . The map of impervious areas includes a wide range of materials, some of which have very different spectral properties (e.g., pavement, concrete, roof tiles, etc.). The 1 st level class “Impervious Surface” corresponds to the land surface after masking out the “Vegetation”, “Soil”, “Shadow”, and “Water” classes. In the 2 nd level of the nomenclature, three classes were distinguished: “Buildings”, “Roads” and “Others”, based on the pansharp image and the nDSM. “Buildings” were extracted in three stages, considering different roof materials. For the red tiles, the parameters used were Manhattan representation, width 7, and 75 pixels of aggregation. For the darker roof materials and for the brighter ones, Manhattan representation, width 7, and 100 pixels of aggregation were the selected parameters. All learning’s were followed by remove clutter or add missing data iterations to reach the final “Buildings” class. The last step included generalizing the building polygons using the same parameters as for the “Soil” class: merging polygons that distance 2 m, and considering areas grater or equal to 100 m 2 . The class “Roads” was extracted in three independent processes, using different parameters. For the larger roads, Bull’s Eye 2, width 25, and 1100 pixels of aggregation were considered. For the narrow roads, Bull’s Eye 2, width 19, and 500 pixels of aggregation were considered. The remaining asphalt pavement was extracted with Bull’s Eye 2, width 25, and 500 pixels of aggregation. These three layers were then merged to produce the “Roads” class. The final layer was obtained by generalization, using 2 m as merging distance and 100 m 2 as minimum area. The “Other impervious surfaces” (like sidewalks or railroads), were the remaining areas within the “Impervious surface” class, after masking out the “Buildings” and “Roads” classes. Figure 2 shows the final Land Cover Map produced for 2008 (LCM2008), for the city of Lisbon, using satellite data. 3.3 Accuracy assessment The thematic accuracy of the LCM2008 was evaluated based on a stratified random sampling. For each strata (i.e., each level 2 land cover class), 100 random points were analyzed through visual analysis of the imagery and ancillary data. From the 700 samples, 2 were excluded from the evaluation because it was not possible to correctly identify the class. The samples were then used to build the error matrix and to derive thematic accuracy indexes. From this analysis, we conclude that the LCM2008 has an Overall Accuracy of 89% and a KHAT statistic of 87%, in the most detailed level. These values indicate great agreement between the reference data and the classified map. 4. Building urban indicators Studies on impacts of urbanization, responses to natural and man-made disasters, vulnerability analysis or housing conditions, all require updated land cover information. In this case study, we propose a set of indicators, strictly assessed from VHR imagery. From LCM2008, two variables are extracted for building the proposed urban indicators: the area (Table 2) and the spatial distribution of each land cover class in the city (Figure 2). Using the area of each land cover, urban environmental indicators strictly based on VHR imagery can be assessed (Table 3). 5. Conclusions The LCM2008 provides a detailed and cost-effective digital map of the city of Lisbon. This case study demonstrates the utility of land cover mapping for building urban indicators for monitoring planning actions. The mapping methodology presented, ensures that urban planners have updated data on land cover at a regular basis. This tool can be used for monitoring the incidence of land cover change within the city, decide on which areas of priority intervention, or assess natural resource sites for preservation and restoration. 440
Teresa Santos, Ségio Freire and José António Tenedório Figure 2: Land cover map of 2008 derived from IKONOS imagery for the city of Lisbon Table 2: Areas of the level 1 and 2 land cover classes in the city of Lisbon Level 1 Area Level 2 Area Vegetation 2428 Trees 1101 Low vegetation 1327 Impervious surface 4907 Buildings 1213 Roads 1352 Other impervious surfaces 2342 Soil 839 Soil 839 Shadow and Water 299 Shadow and Water 299 441
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Proceedings of the 5th European Con
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Contents Paper Title Author(s) Page
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Paper Title Author(s) Page No. Cont
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Preface The 5th European Conference
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Dr Jorge Ricardo da Costa Ferreira
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LSE while working at the British St
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Minna Isomursu, PhD, is a research
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Elmarie Papageorgiou is a Senior Le
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Information and Knowledge Managemen
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João Agrela et al. So modeling bec
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João Agrela et al. ETRS 89 project
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João Agrela et al. (accidents) tha
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Figure 8: Final model João Agrela
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João Agrela et al. outputs and res
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System Integration Model Based on O
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Kamsuriah Ahmad, Azwan Mohamed and
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Kamsuriah Ahmad, Azwan Mohamed and
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Building Virtual Communities on top
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Cuneyt Gurcan Akcora, Barbara Carmi
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References Cuneyt Gurcan Akcora, Ba
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Karen Anderson, Göran Samuelsson a
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Developing a Model for Assessing IT
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Mohammad Abooyee Ardakan et al. Fig
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Mohammad Abooyee Ardakan et al. cor
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Investigating the Relationship of M
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Mohammad Abooyee Ardakan, Babak Soh
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Table 3: Goodness of fit indices Mo
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Evaluation of ICT Investment in Hea
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Figure 1: Search strategy for syste
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A. Arviansyah, Egon Berghout and Ch
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Managerial A. Arviansyah, Egon Berg
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The Uses of Business Outcomes for I
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Dawit Asmelash Measurability of th
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Dawit Asmelash affected business pr
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Business Units HR Sales Step 2 Iden
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Dawit Asmelash In this case, at thi
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Data Governance in Practice: The SM
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Carolyn Begg and Tom Caira Our rese
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Carolyn Begg and Tom Caira In the f
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Carolyn Begg and Tom Caira Decision
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Carolyn Begg and Tom Caira SMEs nee
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Fergal Carton et al. The language u
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Fergal Carton et al. 2008) to abstr
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Payment integration (payment produc
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Fergal Carton et al. Kim,C., Mirsob
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Walter Castelnovo devised for, have
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Walter Castelnovo the potential ris
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Walter Castelnovo allow the informa
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Walter Castelnovo Risk assessment,
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Embedding Human Values Into Informa
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Sunil Choenni, Peter van Waart and
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Evaluating the Role and Potential o
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Renata Paola Dameri For these reaso
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Final assessment and evaluation. Re
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Renata Paola Dameri STRATEGIC GOALS
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Renata Paola Dameri To clearly com
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ICT and PA: A Marriage Made in Heav
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Maria Concetta De Vivo, Alberto Pol
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Jan Devos, Hendrik Van Landeghem an
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References Jan Devos, Hendrik Van L
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Luciana Duranti and Adam Jansen Dig
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Luciana Duranti and Adam Jansen A
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References Luciana Duranti and Adam
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Kate Dymoke-Bradshaw and Ann Brown
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Graham Fletcher and Marie Cahillane
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How Open Source Software Products:
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Chiara Friso, Valentina Lenarduzzi,
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Il giornale elettronico (Trivella,
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Yuwanuch Gulatee and Barbara Combes
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Table 1: Wholly online participants
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Florian Hamel, Thomas Ph. Herz, Fal
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Martin Hill, John Salt and Graham F
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Transforming Information to Knowled
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Vered Holzmann and Ben Holzmann Tot
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Vered Holzmann and Ben Holzmann kno
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Vered Holzmann and Ben Holzmann Prz
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Grant Howard and Sam Lubbe High-lev
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3. Theoretical discussion 3.1 Green
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Grant Howard and Sam Lubbe 3.6 Envi
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Grant Howard and Sam Lubbe Easterbr
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Evaluating ICT Based Services for O
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Minna Isomursu and Marja Harjumaa t
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4.2 Challenges with research method
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Minna Isomursu and Marja Harjumaa b
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The Geography of Criminality - Info
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Intelligence Paulo João, Jorge Fer
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4.1 Crime hot-spots Paulo João, Jo
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Paulo João, Jorge Ferreira and Jos
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Mobile Virtual Network Operator Inf
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Hallur Leivsgarð Joensen and Torbe
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Björn Johansson and Linda Bergkvis
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A Fair Partnership Model by Sharing
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Ghassan Kbar 2. Partnership and VC
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Ghassan Kbar Entering state of the
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Ghassan Kbar Saudi-chamber, (2011)
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Ghassan Kbar and Abdul Aziz AlDusar
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Dong-Hyun Kim and Hyun-Joo Kim We i
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Dong-Hyun Kim and Hyun-Joo Kim As a
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Dong-Hyun Kim and Hyun-Joo Kim We m
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Erdem Kirkbesoglu and Gizem Ogutcu
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Portfolio Management in Non-Profit
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Bert Kleersnijder and Egon Berghout
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Why is an IS Project Late? - A Case
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2. The project 2.1 Background and r
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Juha Kontio Phase In stallation Ope
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Table 2: Identified reason of the p
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Juha Kontio There are also reasons
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2. Performance review model for NDP
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Misoo Kwon Among the review indicat
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Type Average time saved Misoo Kwon
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Luigi Lavazza In conclusion, when a
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Luigi Lavazza The former can be de
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Luigi Lavazza For each process, we
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6. Conclusions Luigi Lavazza When e
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eBusiness Model Design and Evaluati
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Monika Magnusson categories of busi
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Monika Magnusson Business Model Ele
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5.2 Guiding questions Monika Magnus
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Monika Magnusson Hay, M. and Kamsha
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Monika Magnusson and Marie-Therese
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4.3 Goals at the project level Moni
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Alignment in Enterprise Architectur
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Thanos Magoulas, Aida Hadzic, Ted S
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3.4 Infological alignment Thanos Ma
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Panagiotis Manolitzas et al. to Gov
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Panagiotis Manolitzas et al. Anothe
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Table 1: Criteria weights and satis
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Panagiotis Manolitzas et al. Satisf
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Understanding the Impact of Knowled
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Magdeline Mashilo and Tiko Iyamu Ac
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Magdeline Mashilo and Tiko Iyamu Cu
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Magdeline Mashilo and Tiko Iyamu Th
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Magdeline Mashilo and Tiko Iyamu Ho
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2. Literature review 2.1 The Batik
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Nor Laila Md Noor and Ariza Nordin
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Nor Laila Md Noor and Ariza Nordin
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Isolated Strategies Nor Laila Md No
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HOT-fit Evaluation Framework: Valid
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Maryati Mohd Yusof In order to vali
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Maryati Mohd Yusof Further framewor
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Maryati Mohd Yusof Kaplan, B., and
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Gunilla Myreteg social context (Orl
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Gunilla Myreteg needed routine. Ano
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Gunilla Myreteg used, which in turn
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Environmental Scanning Practice of
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Roslina Othman and Siti Rohimi Hame
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5. Conclusion Roslina Othman and Si
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Understanding Financial and non-Fin
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Elmarie Papageorgiou and Herman de
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Elmarie Papageorgiou and Herman de
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The Question of Selecting Appropria
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Bartosz Wachnik We can discern two
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Tasks in an ERP implementation proj
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Bartosz Wachnik Tests’ recapitul
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PhD Research Papers 501
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Information Systems for Production
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Denisa Ferenčíková 3. Correctly
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Denisa Ferenčíková method requir
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1.2 Service oriented architecture A
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The Specification of Competency Que
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Michal Pivnička to (Collis 2008),
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Figure 2: List of scorecards window
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Michal Pivnička A Custom view (fig
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Michal Pivnička necessary calculat
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Michal Pivnička combines two or mo
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Michal Pivnička When any informati
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Challenges in Business Case Develop
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Non Academic Papers 577
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Management of Waiting List for Surg
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Rita Cristóvão and Pedro Gomes In
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Work in Progress Papers with Poster
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Information Management Enabling Col
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2. Methodology Giovanni Camponovo R
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Giovanni Camponovo Butler, B., Spro
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An Enterprise Ontology Approach for
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Bernardo Gomes, André Vasconcelos
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National ICT Strategy and its Imple
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João Soares, José Tribolet and An
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João Soares, José Tribolet and An
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