Methodology for the development of LADM country profiles

Kalogianni, Eftychia; Janečka, Karel; Kalantari, Mohsen; Dimopoulou, Efi; Bydłosz, Jarosław; Radulović, Aleksandra; Vučić, Nikola; Sladić, Dubravka; Govedarica, Miro; Lemmen, C.; Oosterom, P.J.M. van

doi:10.1016/j.landusepol.2021.105380

Cited by 42 publications

(36 citation statements)

References 21 publications

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“…Moreover, the transferability of the developed approach to other contexts also necessarily requires further investigation. It is suggested that the results of the work here could be the source material for, or at least provide guidance to the ongoing developments of, ISO 19152 LADM, 2nd edition, particularly as that standard will have a dedicated link to property valuation data and processes [54].…”

Section: Discussionmentioning

confidence: 99%

Remote Sensing for Property Valuation: A Data Source Comparison in Support of Fair Land Taxation in Rwanda

et al. 2021

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Remotely sensed data is increasingly applied across many domains, including fit-for-purpose land administration (FFPLA), where the focus is on fast, affordable, and accurate property information collection. Property valuation, as one of the main functions of land administration systems, is influenced by locational, physical, legal, and economic factors. Despite the importance of property valuation to economic development, there are often no standardized rules or strict data requirements for property valuation for taxation in developing contexts, such as Rwanda. This study aims at assessing different remote sensing data in support of developing a new approach for property valuation for taxation in Rwanda; one that aligns with the FFPLA philosophy. Three different remote sensing technologies, (i) aerial images acquired with a digital camera, (ii) WorldView2 satellite images, and (iii) unmanned aerial vehicle (UAV) images obtained with a DJI Phantom 2 Vision Plus quadcopter, are compared and analyzed in terms of their fitness to fulfil the requirements for valuation for taxation purposes. Quantitative and qualitative methods are applied for the comparative analysis. Prior to the field visit, the fundamental concepts of property valuation for taxation and remote sensing were reviewed. In the field, reference data using high precision GNSS (Leica) was collected and used for quantitative assessment. Primary data was further collected via semi-structured interviews and focus group discussions. The results show that UAVs have the highest potential for collecting data to support property valuation for taxation. The main reasons are the prime need for accurate-enough and up-to-date information. The comparison of the different remote sensing techniques and the provided new approach can support land valuers and professionals in the field in bottom-up activities following the FFPLA principles and maintaining the temporal quality of data needed for fair taxation.

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Section: Discussionmentioning

confidence: 99%

Remote Sensing for Property Valuation: A Data Source Comparison in Support of Fair Land Taxation in Rwanda

et al. 2021

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“…International Organization for Standardization defines ISO/CD 19152:2021 Geographic information -Land Administration Domain Model (LADM) as a reference domain model for basic information-related components of land administration and provides basics for country profiles. According to [20], this standard has been applied for the creation of various country profiles all over the world [21]- [24] and has grown over the years in recognition and influence.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Contract Application for Managing Land Administration System Transactions

et al. 2022

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Land administration systems are of great importance for a large number of stakeholders. One of the key problems related to land administration systems is the problem of the correctness of their state, meaning that data stored in land administration systems are not in concordance with the actual legal, spatial and topographic situation. The main causes of land administration systems' incorrect state are data collection and compilation, data processing, and data misuse. In this paper, we discuss the problems of data tampering, the long time needed for registering land administration system's transactions, and the possibility of double spending, which all can add incorrectness in a land administration system. Our research is based on the hypothesis that these problems may be addressed by means of distributed ledger technology, or to be more precise, by means of blockchain technology. The solution is presented in a form of a smart contract written in Solidity programing language that can cover even those more specific use cases in land administration systems such as sharing of ownership, transferring part of ownership, splitting or merging of real estate, and limiting the possibility of trading a real estate. The proposed smart contract represents an implementation of a programming interface that was created based on both ERC-20 and ERC-721 token standards, to satisfy the specific needs of land administration systems.INDEX TERMS Blockchain, Ethereum, land administration, real estate, smart contract.

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“…There are several studies to build a geospatial information infrastructure that involves this public participation [20]. And this cannot be separated from the land administration, including forest area boundaries [21]. However, it is interesting that in Law 11/2020, forestry clusters are separated from spatial planning clusters.…”

Section: Law 26/2007 -Article 18mentioning

confidence: 99%

Recent Development in Spatial Planning after the Omnibuslaw Job Creation

Amhar

Darmawan

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The Omnibus Law on Job Creation has been ratified. This law is expected to increase investment in Indonesia. The question is, to what extent will this law impact spatial planning and ultimately on environmental management. For this reason, the texts of the old law and the new law are juxtaposed. The research method used is a comparison of legal texts, which is complemented by analysis of samples of various spatial maps and field visits. The findings of this study are as follows. The detailed spatial planning plan is now sufficiently regulated by a regent/mayor regulation. Approval from Regional Parliament (DPRD) is no longer required. The existence of a large-scale map of 1: 5000 is also no longer necessary. If Detailed Spatial Plan (RDTR) 1: 5000 is not yet available, the General Regional Spatial Plan (RTRW) 1: 50,000 map can also be used as a basis for licensing. Unfortunately, to shorten the process of determining the Spatial Plan, now the supervision of the Geospatial Information Agency is only voluntary, no longer mandatory. The sampling test on map samples and field visits showed that this change could result in space utilization errors and spatial violations due to map accuracy issues.

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Methodology for the development of LADM country profiles

Cited by 42 publications

References 21 publications

Remote Sensing for Property Valuation: A Data Source Comparison in Support of Fair Land Taxation in Rwanda

Remote Sensing for Property Valuation: A Data Source Comparison in Support of Fair Land Taxation in Rwanda

Smart Contract Application for Managing Land Administration System Transactions

Recent Development in Spatial Planning after the Omnibuslaw Job Creation

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