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    지적불부합지정리의 효율성 제고를 위한 지적측량기법에 관한 연구 = (A) Study on the Cadastral Surveying for Arranging of Cadastral Non-coincidence

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    https://www.riss.kr/link?id=T9372885

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    As of date, the informative society with highly developed infra technology and supersonic speed computer networks demands an innovative establishment of the land information system, which is based on land parcels named Parcel Based Information System(PBLIS) for providing more accurate and timely land-related data to face those increasing requirements of diverse information on the valuable property for landlords.
    However, our national cadastral registers and maps that had designed during the Land Investigation Project were being used, they causes the boundary disputes between the land owners. These conflicts mainly caused by the discrepancy between map boundaries and ground boundaries resulted from the frequent boundary changes by parcel mutations, quality deterioration of map sheets and stretch/shrinkage of neat lines.
    Up until now, clear solutions has not been presented, though it has incurred public distrusts against the authorities.
    This research focuses on the development of the methodology efficiently resolving cadastral inconsistent areas which is one of the main problems in our cadastral system. Futhermore, it adopts comparative analyses of parcel acreage, block acreage, displacement of plane coordinates and changes between boundary points acquired by several surveying techniques which are neat line correction of cadastral maps, TS survey, GPS/RTK survey and digitizing on aerial ortho-photo images. Objective of the research is to be considered the most accurate and efficient cadastral surveying methods to register boundary coordinates in both urban and rural areas based on the ground boundaries.
    For the substitution the conventional methodology for resolving the cadastral inconsistency by the correction of stretch/shrinkage of map sheets, the research adopts new surveying techniques with new facilities for the comparative analyses by each surveying method and individual test area and the resulted conclusion is as follows:
    TS is appropriate to urban areas while RTK is to rural ones. The method using ortho-photos by aerial photogrammetry still demands further technical development to increase accuracy and reliability when the decision on boundary points is made. Ortho-photos will be proved useful for distinguishing whether a certain extent of land is a cadastral inconsistent area or not. Consequently, cadastral inconsistent areas can be efficiently arranged with applying new survey methods rather than seeking resolutions by solving paper map problems.
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    As of date, the informative society with highly developed infra technology and supersonic speed computer networks demands an innovative establishment of the land information system, which is based on land parcels named Parcel Based Information System(...

    As of date, the informative society with highly developed infra technology and supersonic speed computer networks demands an innovative establishment of the land information system, which is based on land parcels named Parcel Based Information System(PBLIS) for providing more accurate and timely land-related data to face those increasing requirements of diverse information on the valuable property for landlords.
    However, our national cadastral registers and maps that had designed during the Land Investigation Project were being used, they causes the boundary disputes between the land owners. These conflicts mainly caused by the discrepancy between map boundaries and ground boundaries resulted from the frequent boundary changes by parcel mutations, quality deterioration of map sheets and stretch/shrinkage of neat lines.
    Up until now, clear solutions has not been presented, though it has incurred public distrusts against the authorities.
    This research focuses on the development of the methodology efficiently resolving cadastral inconsistent areas which is one of the main problems in our cadastral system. Futhermore, it adopts comparative analyses of parcel acreage, block acreage, displacement of plane coordinates and changes between boundary points acquired by several surveying techniques which are neat line correction of cadastral maps, TS survey, GPS/RTK survey and digitizing on aerial ortho-photo images. Objective of the research is to be considered the most accurate and efficient cadastral surveying methods to register boundary coordinates in both urban and rural areas based on the ground boundaries.
    For the substitution the conventional methodology for resolving the cadastral inconsistency by the correction of stretch/shrinkage of map sheets, the research adopts new surveying techniques with new facilities for the comparative analyses by each surveying method and individual test area and the resulted conclusion is as follows:
    TS is appropriate to urban areas while RTK is to rural ones. The method using ortho-photos by aerial photogrammetry still demands further technical development to increase accuracy and reliability when the decision on boundary points is made. Ortho-photos will be proved useful for distinguishing whether a certain extent of land is a cadastral inconsistent area or not. Consequently, cadastral inconsistent areas can be efficiently arranged with applying new survey methods rather than seeking resolutions by solving paper map problems.

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    목차 (Table of Contents)

    • 목차 = ⅰ
    • 표목차 = ⅳ
    • 그림목차 = ⅶ
    • ABSTRACT = ⅹ
    • 제1장 서론 = 1
    • 목차 = ⅰ
    • 표목차 = ⅳ
    • 그림목차 = ⅶ
    • ABSTRACT = ⅹ
    • 제1장 서론 = 1
    • 1.1. 연구의 목적 = 1
    • 1.2. 연구의 동향 = 2
    • 1.3. 연구의 범위 및 방법 = 7
    • 제2장 지적불부합지 정리를 위한 지적측량기법 = 9
    • 2.1. 우리나라의 지적측량 = 9
    • 2.2. 지적불부합지 = 9
    • 2.2.1. 지적불부합지의 발생원인 = 10
    • 2.2.2. 지적불부합지의 현황 = 15
    • 2.2.3. 지적불부합지의 유형 = 18
    • 2.3 현행 지적불부합지 측량 = 19
    • 2.3.1. 지적측량원점 및 좌표체계 = 19
    • 2.3.2. Bessel과 WGS84 타원체간 좌표 변환 = 23
    • 2.3.3. 도해 및 수치지적측량 = 28
    • 2.4. 새로운 지적불부합지 측량 = 29
    • 2.4.1. 지적도 보정방법의 적용 = 29
    • 2.4.2. Total Station System = 34
    • 2.4.3. GPS-RTK 측량 = 36
    • 2.4.4. 정사투영영상과 지적도의 작성 = 45
    • 제3장 관측 및 데이터처리 = 48
    • 3.1. 관측대상지 = 48
    • 3.2. 관측방법 = 50
    • 3.3. 관측데이터 처리 = 52
    • 3.3.1. 필지별 면적 데이터 = 52
    • 3.3.2. 블록별 면적 데이터 = 66
    • 3.3.3. 경계점좌표 데이터 = 73
    • 제4장 결과분석 = 75
    • 4.1. 필지별 면적 비교분석 = 75
    • 4.1.1. 대장면적과 지적도보정면적 비교 = 75
    • 4.1.2. 대장면적과 TS 현황면적 비교 = 81
    • 4.1.3. 대장면적과 RTK 현황면적 비교 = 90
    • 4.1.4. 보정지적도와 정사투영영상의 중첩 비교 = 93
    • 4.1.5. 보정지적도, TS, RTK 현황면적 비교 = 100
    • 4.1.6. TS와 RTK 현황면적 비교 = 104
    • 4.2. 블록별 면적의 비교분석 = 107
    • 4.2.1. 보정지적도와 TS 블록별 면적 비교 = 107
    • 4.2.2. 보정지적도와 RTK 블록별 면적 비교 = 110
    • 4.2.3. 보정지적도와 정사투영영상 블록별 면적 비교 = 112
    • 4.2.4. 보정지적도,TS, RTK, 정사투영영상 블록별 면적 비교 = 113
    • 4.2.5. TS와 RTK 블록별 면적 비교 = 115
    • 4.3. 경계점좌표의 비교분석 = 117
    • 4.3.1. 보정지적도와 TS 관측좌표의 비교 = 118
    • 4.3.2. 보정지적도와 RTK 관측좌표의 비교 = 122
    • 4.3.3. TS와 RTK 관측좌표의 비교 = 124
    • 4.4. 경계점 결정좌표의 거리별 비교분석 = 126
    • 4.4.1. 보정지적도와 TS 관측좌표에 의한 거리비교 = 127
    • 4.4.2. 보정지적도와 RTK 관측좌표에 의한 거리비교 = 129
    • 4.4.3. TS와 RTK 관측좌표에 의한 거리비교 = 130
    • 제5장 결론 = 132
    • 참고문헌 = 134
    • 부록 = 139
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