Appraisal of Building Price in Urban Area Using Light Detection and Ranging (LiDAR) Data in Depok City
Abstract
:1. Introduction
2. Study Areas and Materials
2.1. Study Areas
2.2. Data Source
3. Methods
- Create a digital terrain and surface model (DTM and DSM).
- 2.
- Extract the shape of the roof and determine the building site in 3D.
- BLDGHEIGHT (building height): The maximum building height.
- EAVEHEIGHT (eave height): The minimum building height, i.e., the level of construction without or with a flat roof.
- ROOFFORM (roof form): The shape of the roof.
- BASEELEV (base elevation): The base height of the building, which is often equal to the elevation of the ground level.
- ROOFDIR (roof direction): The direction of the roof (in degrees).
- RoofDirAdjust (roof direction adjusted): This value is changed to manually adjust the direction of the roof. Since the default value is 0, the estimations of 1 and 2 are observed to counterclockwise rotate the roof by 90° and 180°, respectively.
- 3.
- Edit the 3D model of the building.
4. Results
5. Discussion
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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No. | Data Type | Source/Method of Obtaining Data |
---|---|---|
1. | The building specifications (area and number of floors) | The 3D LiDAR data-processing model obtained from Smart Land-Surveillance System (SLSS) |
2. | A detailed description of the building and the study environment | The Smart Land-Surveillance System (SLSS) processed from building parcel maps and DHKP (list of the tax assessment) of the Depok City Revenue, Financial Management, and Assets Office. |
3. | The sales value of the tax object (NJOP) of the building, which is presently used for the imposition of PBB-P2 | The SLSS processed by the Department of Revenue, Financial Management, and Assets Office of Depok City. |
4. | The real tax object selling value (NJOP) | The calculation of the building values emphasizes the cost of constructing a building per square metre. This is multiplied by the construction area regarding the 3D modelling outcome and online market price surveys. |
5. | The cost of building | The observation of building prices from several online sites. |
6. | The model data validation | Field survey |
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Atiqi, R.; Dimyati, M.; Gamal, A.; Pramayuda, R. Appraisal of Building Price in Urban Area Using Light Detection and Ranging (LiDAR) Data in Depok City. Land 2022, 11, 1320. https://doi.org/10.3390/land11081320
Atiqi R, Dimyati M, Gamal A, Pramayuda R. Appraisal of Building Price in Urban Area Using Light Detection and Ranging (LiDAR) Data in Depok City. Land. 2022; 11(8):1320. https://doi.org/10.3390/land11081320
Chicago/Turabian StyleAtiqi, Randhi, Muhammad Dimyati, Ahmad Gamal, and Rizki Pramayuda. 2022. "Appraisal of Building Price in Urban Area Using Light Detection and Ranging (LiDAR) Data in Depok City" Land 11, no. 8: 1320. https://doi.org/10.3390/land11081320
APA StyleAtiqi, R., Dimyati, M., Gamal, A., & Pramayuda, R. (2022). Appraisal of Building Price in Urban Area Using Light Detection and Ranging (LiDAR) Data in Depok City. Land, 11(8), 1320. https://doi.org/10.3390/land11081320