Vol. 2 No. 2 (2022)
Articles

Detection of Informal Housing and Non-Complıance with Planning Regulations from Maps Produced by Mobile Lidar Technique

Published 2022-09-30

Keywords

  • Remote sensing,
  • Mobile Lidar,
  • Satellite Images,
  • Informal housing,
  • GIS,
  • Building Determination,
  • Squatter housing
  • ...More
    Less

How to Cite

Güneş, S., & Şanlıoğlu, İsmail. (2022). Detection of Informal Housing and Non-Complıance with Planning Regulations from Maps Produced by Mobile Lidar Technique. Advanced LiDAR, 2(2), 31–35. Retrieved from https://publish.mersin.edu.tr/index.php/lidar/article/view/261

Abstract

With the increasing population, cities are constantly changing and developing. Therefore, it is difficult to monitor and control rapid changes in cities. Therefore, planning is very important in terms of controlling these dynamic cities and ensuring regular and planned settlements. However, buildings may not always be built in accordance with the plan and may be built against the zoning law. These structures, which are built against the plan, can distort the city's silhouette, cause unplanned construction and restrict people's access to some services. It is also important that the building detection process, which is needed in many areas from population movements to city development, from illegal building surveillance to casting extraction, is accurate and automatic. With the development of Remote Sensing and Geographic Information Systems (GIS), new methods have been used to detect such structures. One of these methods used is the detection of these structures with high resolution data. In this research, the building detection by using point clouds data obtained from Light Detection and Ranging (LiDAR) system with satellite images.

References

  1. Ayhan E & Erden Ö (2008). Uydu Görüntüleri İle Kentsel Gelişimin İzlenmesi Uzaktan Algılama ve Coğrafi Bilgi Sistemleri Sempozyumu, Kayseri January 2008
  2. Ekercin S & Üstün B (2017). Uzaktan Algılamada Yeni Bir Teknoloji: Lidar Jeodezi, Jeoinformasyon ve Arazi Yönetimi Dergisi, 2004/91
  3. Gerim V & Erener A (2018). Lidar Verileri İle Desteklenmiş Ortofoto Görüntülerden Bina Tespiti Performans Değerlendirilmesi: İstanbul, Küçükçekmece Örneği. Kocaeli Üniversitesi Fen Bilimleri Dergisi, 1(2),53-61.
  4. Gök H (2010). İmar Mevzuatina Aykırılık Hallerinde yapı Sahibine Uygulanacak İdari Yaptırımlar. Yüksek Lisans Tezi, İstanbul Üniversitesi, Sosyal Bilimler Enstitüsü, İstanbul, 151
  5. Iban, M. C. (2020). Lessons from approaches to informal housing and non-compliant development in Turkey: An in-depth policy analysis with a historical framework. Land Use Policy, 99, 105104.
  6. Namlı E & Ay B (2017). Görüntü İşleme Tabanlı İha Ve Uydu Sistemleri Hibrit Yapay Zekâ Modeliyle Kaçak Yapilarin Tespiti. Yönetim Bilişim Dergisi, 3(2),114-129
  7. Şahin M E (2019). Yüksek Çözünürlüklü Uydu Görüntüleri Kullanılarak İmar Barışına Aykırı Yapıların Tespit Edilmesi. Yüksek Lisans Tezi, Eskişehir Teknik Üniversitesi, Lisansüstü Eğitim Enstitüsü, Eskişehir, 74 s
  8. The World Bank Zoning and Land Use Planning: (https://urban-regeneration.worldbank.org/node/39)