1. Stojanka Brankovic, C.E.MSc Annual World Bank Conference on
THE REMOTE SENSING IMPLICATION IN THE PROPERTY MASS VALUATION GIS IN SERBIA
Stojanka Brankovic, C.E.MSc
Annual World Bank Conference on
Land and Poverty
Washington DC

3. CADASTRAL SYSTEM REFORM IN SERBIA
Cadastral system reform – started under the Real Estate Cadastre and Registration Project in Serbia 2004 – 2012
Real Estate Cadastre– a modern system of property and property rights registration system, assuring reliability and control of data in cadastral-legal procedures
Continued cadastral system reform – implemented under the Real Estate Management Project in Serbia 2015 – 2020
Supported by the World Bank loan and donors projects of the European Union Member States

4. CADASTRAL AND GEOSPATIAL DATA
Today’s society has the growing requirements for greater quantity and quality of spatial information
Cadastral and geospatial data are important in the decision-making process
Implementation in the filed of environment analysis, infrastructure development, health, education, protection, transportation, energy, agriculture, climate change and disaster management

5. MARKET AND PROPERTY VALUATION
Three fundamental attributes of any property are:
Geo-location in space
Types of property rights
Property value
REAL ESTATE CADASTRE
MASS VALUATION

7. REMOTE SENSING
Detects and analyzes spatial and temporal elements of the environment
Detects land use and land cover changes, providing timely an information about the environment and the effect of human activities
Monitors and discovers changes by using multi-spectral temporal images

8. REMOTE SENSING APPLICATION (1)
In agricultural land market analysis, based on the remote sensing data
Remote sensing data integrated in the GIS with the cadastral maps

9. REMOTE SENSING APPLICATION (2)
In the analysis of influential factors for the land price, based on the environment state analysis, using the remote sensing data

10. REMOTE SENSING APPLICATION (3)
Agricultural land cover map production using satellite images of land cover
Data integrated in the GIS with the cadastral data on the cadastral culture and class

11. REMOTE SENSING APPLICATION (4)
Detection of pedology profiles over the area using the remote sensing data
Integration with terrestrial measurements of pedology profiles in the GIS

12. REMOTE SENSING APPLICATION (5)
The risk analysis for landslides based on the remote sensing and soil fertility map
Detection of landslides and waterlogged soil

13. REMOTE SENSING APPLICATION (6)
Detection of cadastral cultures and soil classes using the remote sensing data
Data integrated in the GIS with field classification of cadastral cultures and soil classes

14. REMOTE SENSING APPLICATION (7)
Remote sensing data in the urban planning
Remote sensing data integrated in the GIS with the cadastral maps and the urban plans

15. REMOTE SENSING IN MASS VALUATION (1) Case Study – City of Belgrade

16. REMOTE SENSING IN MASS VALUATION (2)
Remote sensing data from: acquisition epoch 2008, acquisition epoch 2013, satellite acquisition epoch 2016
Data integrated in the mass valuation GIS with the real estate cadastre data and Registry of real estate transactions
2016
2013
2008

17. REMOTE SENSING IN MASS VALUATION (3)
Remote sensing data integrated in the mass valuation GIS with:
Address registry
Digital cadastral map
Real estate cadastre data

18. REMOTE SENSING IN MASS VALUATION (4)
The remote sensing allows collection of many characteristics of property data over wide areas and for a large number of properties
Using this method in market valuation of the agricultural land we can acquire data on parcel shape, parcel distance from the airport and other infrastructural facilities
Using this method in market valuation of the constructions we can acquire data on location, number of floors, extensions, distance from the airport and other infrastructural facilities

19. CONCLUSIONS
Remote sensing is a method that is able to collect a large amount of different geo-special data
Remote sensing data integrated with the real estate cadaster data and geographic data can improve methodology of property mass valuation
The future research will focus on further development of different modalities for acquisition of the potential characteristics of properties to improve models of property mass valuation

21. GREETINGS FROM SERBIA