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Analyzing an orthophoto mapping system using system analysis, SWOT and client satisfaction survey : a case study of the Chief Directorate of Surveys and Mapping, Republic of South Africa

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Firstly, I would like to express my sincere gratitude to the Management of the office of the Surveyor General in Cape Town for their support, encouragement and trust which led me to enroll in this programme. After presenting the system's processes, data stores and data flows, a customer satisfaction survey, built on the criteria of; accuracy, completeness, correctness and accessibility of geospatial data sets, is performed on one of the data stores – the Topographic Information System (TIS) database.

INTRODUCTION

  • Background
  • Problem statement
  • Research objectives
  • Research questions
  • Research structure

The Orthophoto Mapping Division (D: ORTHO) of CDSM faces a number of similar challenges due to the fragmentation of its production systems. The objective of this research is to use a combination of improvement tools, namely: system analysis, customer satisfaction survey and SWOT to improve CDSM's orthophoto mapping system.

LITERATURE REVIEW

  • Introduction
  • Information system analysis
  • Client satisfaction survey
  • SWOT analysis
  • Generic components of orthophoto map production systems
    • Photogrammetric scanning
    • Aerial triangulation
    • Digital elevation model (DEM)
    • Ortho-rectification
  • Analyzing orthophoto mapping through systems analysis, client satisfaction survey and SWOT – a

The results (figure 2.1) were used to identify strengths and weaknesses of the Forest Science programme. Often it is not sufficient to determine the effectiveness of the service provided to the customers. Strengths and weaknesses of the organization are determined by internal scanning, while opportunities and threats are determined by external scanning (Chimhamhiwa & Paresi, 2004).

In this research, SWOT analysis is used as a tool that analyzes the OMS situation as it is. Akpoyoware (2003) used a SWOT analysis to evaluate the level of effectiveness of the cadastral system in Nigeria. Any inaccuracies in the DEM will affect the ortho-correction process, which in turn will affect the image quality of the orthophoto map.

From most of the cases cited in the literature review above, systems analysis, customer satisfaction surveys, and SWOT are often applied separately to accomplish certain goals. Second, the user satisfaction survey seeks to find out the level of user satisfaction of topographic data hosted in the TIS database with an emphasis on the basic elements of spatial accuracy data quality. Third, the SWOT analysis of the orthophoto mapping environment is done to reveal the strengths, weaknesses, opportunities and threats affecting the current situation.

Table 2.1: The characteristics and benefits of systems analysis
Table 2.1: The characteristics and benefits of systems analysis

RESEARCH METHODOLOGY

Introduction

Data collection instruments

  • System analysis
  • Client satisfaction survey
  • Swot analysis

For this study, 'the client' refers to the internal frequent users of topographical data stored in the TIS database. The spatial data quality characteristics of; accuracy, completeness, correctness and accessibility were used as criteria to assess satisfaction. From a positional perspective, the accuracy of spatial data can be defined as the degree to which the observed geographically referenced measurements approximate the relative position on the ground (CCNLIS, 1990).

Van Oort (2005) defines attribute accuracy as the accuracy of all attributes except position accuracy of a spatial dataset and can be measured according to four scales. Completeness: Bernhardsen (1999) defines the completeness of spatial data as the degree or measure of how completely the data are captured on a type of object in relation to the earth. Errors of commission and omission are the two types of errors associated with spatial data completeness (Van Oort, 2005).

Spatial data accuracy describes that features are accurately portrayed in order to ensure better quality and reliability of CCNLIS (1990) spatial data. Correctness: correctness of spatial data describes that features are accurately portrayed in order to ensure better quality and reliability of CCNLIS (1990) spatial data. Accessibility: Bernhardsen (2002) argues that from the user's perspective, accessibility information is as important as other spatial data quality variables.

Figure 3.1: Flowchart of the research methodology and data collection methods.
Figure 3.1: Flowchart of the research methodology and data collection methods.

Defining the sample

Bernhardsen (2002) further proves that the correctness of feature classification can be measured through the comparison of classes assigned to their features or attributes for AOIs. This information gives the user an in-depth knowledge of where a particular data set is located, its storage, data format, cost and other sets of metadata needed and related to spatial information. The purpose of conducting a SWOT in this research is to come up with effective strategies that will help provide strategic direction from the current scenario to the ideal one.

It is carried out in such a way that it provides the ideas to formulate good strategies to ensure a fit between the internal (strengths and weaknesses) and external (opportunities and threats) environments of the organization, as discussed below. 8 of 1997) to collect, review and provide spatial information, maintain the national monitoring network and update national map series for the rest of the Republic. The reason for choosing the internal users of data from the TIS is that they are the only ones who have access to this database and the external users do not, which makes the sample size very minimal. The sample consists of regular users and administrators of the topographic data in the TIS database.

These users and administrators range from division managers to specialists and regular operators with a technical background. For data security reasons, these users have read and write access or both, depending on their technical skills, experience and activities. The sample size consists of 25 of the 30 frequent users who responded to the customer satisfaction survey (see questionnaire in Appendix 5) sent to them by electronic mail.

CASE STUDY

  • Brief history and overview
  • Technical aspects of the 1:10 000 CDSM orthophoto maps
  • CDSM Quality Standards for 1:10 000 map series
  • Spatial data management by CDSM
    • The topographical information system (TIS)

The Gaussian conformal projection covers South Africa's extent in degree squares of latitude and longitude as indicated in Figure 4.1. The reference to each degree square is given by its latitude and longitude values ​​and is further divided into four quadrants represented by letters A, B, C and D. The reference to each 1:50 000 map sheet is given by its position within the four letter quadrant of a specific degree square as indicated in Figure 4.2(b).

The proposed 2008 CDSM or Draft Standards for Orthophoto Maps provides guidance on the quality and standard of any orthophoto map produced. is projected using Gaussian conformal projection and Hartbeeshoek 94 is used as the reference ellipsoid; Be such that the features shown on this series of maps fall into four classes of features; communication, culture, hypsography and height representation and hydrography) as listed in Table 3.1 below (CDSM, 2008).

Shopping Center Building 'Shopping Center' Arial 7.5 Building of Italy and Capitals University 'Feature Name' Arial 7.5 Parks of Italy and Capitals and. However, the division responsible for orthophoto mapping uses ARCGIS™, an ESRI software package, to produce orthophoto maps. Orthophoto cartography is responsible for the production, maintenance, review and digital archiving of orthophoto maps in accordance with the standards and specifications drawn up by the CDSM guidelines for quality.

Figure 4.1: Map showing series of degree squares covering South Africa. Map not to scale
Figure 4.1: Map showing series of degree squares covering South Africa. Map not to scale

RESULTS

Results

  • The Context diagram
  • The Top level diagram
  • The lower level diagram

After establishing the OMS context diagram (Figure 5.1), the next stage of decomposition was performed. Of the 25, 4 came from the orthophoto mapping department (and this number represents all orthophoto mapping staff using data from TIS). From the bar chart, the dimensions of accuracy and completeness were rated equally across all 7 scale points.

Furthermore, most data streams from these 3 terminators affect, at a lower level, the raw data extraction and map production processes. This chapter presents the conclusions of the research and proposes some recommendations based on the objectives pursued in Chapter 1. UNEP (2004) Global Environment Outlook (GEO): SWOT analysis and evaluation of the GEO-3 process from the perspective of the GEO Collaborating Centre.

Mapping South Africa with a digital aerial camera, from the perspective of the National Mapping Agency. Answer: The age of the current map and the speed of development are the main drivers. Answer: The Map Data Processing Department (MDP) is responsible for the management and therefore the integrity of the TIS database.

Figure 5.1: Context diagram of the OMS of CDSM.
Figure 5.1: Context diagram of the OMS of CDSM.

Investigate the level of satisfaction from the internal users of topographical data. 29

Discussion of results

During system analysis, the DFD technique and SDW case tool were used to establish key processes, data flows and data stores for the orthophoto mapping system at CDSM and their connections. S6&T9: Explore upgrading or modifying current orthophoto mapping software to cut licensing costs. The results of the customer satisfaction survey (Figure 5.4) seem to show that the quality problem highlighted at the beginning of the survey is not as widespread as previously thought.

This may be because of the 25 respondents who took part in the user satisfaction survey, only 7 were in mapping and 4 of these were from Orthophoto Mapping. The rest; 4 from ADIA (map compilation), 2 from Network Adjustments, 2 from Survey services, 3 from ATEC and 5 from Map Sales, were mainly users (and updates) of specific datasets in TIS. Thus, as users and producers of the same datasets, there could have been an element of bias in their evaluation of their own datasets.

Therefore, the results suggest that the current quality of TIS data (in terms of accuracy, completeness, correctness and accessibility) is generally satisfactory for most users, except for Orthophoto Map, which was associated with the lowest scores in the satisfaction survey. of the user. These weaknesses (along with the responses from the user satisfaction survey) suggest that the quality requirements for Orthophoto Cartography may be different compared to other divisions. In this regard, 1 opportunity was identified in the external environment while 3 strategies were built in the SWOT matrix (table 5.3) to improve data quality deficits.

CONCLUSIONS AND RECOMMENDATIONS

SWOT analysis (objective 3) of OMS is done to determine internal strengths and weaknesses, as well as external opportunities and threats. It is recommended that OMS facing similar challenges use some or all of the approaches as a starting point to analyze their specific cases. Implementation of some of these strategies can be considered taking into account CDSM's resources and priorities.

Answer: No, sometimes the availability of additional data sets such as DEMS, terrain data, and corrected imagery guides us in achieving our goals. Who do you rely on to verify names and whether you have a favorable working relationship with that body or institution. Answer: The following standards/measures are used to ensure the topological and attribute integrity of spatial data stored in the Oracle database Topographic Information System (TIS).

You have been identified as one of the users or administrators of this topographic data and are therefore requested to take a few minutes of your time and provide feedback on the following questionnaire. Keep in mind that for the author to provide an effective analysis of the outcomes, you must be as candid and honest as possible. The questionnaire aims to assess the satisfaction of CDSM users of the TIS dataset in terms of the quality variables listed in the questionnaire below.

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Table 2.1: The characteristics and benefits of systems analysis
Figure 2.1: Level of client satisfaction in Forest Science Program of British Columbia
Figure 2.2: A conceptual model illustrating how systems analysis, client satisfaction survey and  SWOT are combined in a single framework
Figure 3.1: Flowchart of the research methodology and data collection methods.
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