Commission 7. Panamá 28 de Septiembre DANIEL PÁEZ, PhD

Transcription

1 Commission 7 Panamá 28 de Septiembre DANIEL PÁEZ, PhD dpaez@uniandes.edu.co

2 DANIEL PÁEZ, PhD LAND IS ABOUT PEOPLE La tierra se refiere a las personas.

3 DANIEL PÁEZ, PhD PEOPLE-LAND RELATIONSHIP IS UNIQUE FOR EACH CULTURE La relación entre tierra y personas es única para cada cultura

4 DANIEL PÁEZ, PhD LAND NOT ONLY PRODUCE FOOD, GENERATES IDENTITY AND SECURITY La tierra no solo produce tierra, genera identidad y seguridad

5 DANIEL PÁEZ, PhD TODAY, YESTERDAY AND TOMORROW, CONFLICTS ARE ABOUT LAND Los conflictos de ayer, y los de mañana, son sobre la tierra

6 DANIEL PÁEZ, PhD LAND MANAGEMENT STARTED WITH TAXATION La gestión de la tierra inició en muchos casos con impuestos

7 SUSTAINABLE DEVELOPMENT IS THE GOAL TODAY Pero hoy la meta es el desarrollo sostenible

8 DANIEL PÁEZ, PhD BUT FIRST WE NEED A MAP Sin embargo, lo primero que necesitamos es un mapa

9 DANIEL PÁEZ, PhD ONE CENTURY, ONE LESSON: FIT-FOR-PURPOSE Un siglo, una lección aprendida: desarrollo de acuerdo a un propósito

10 FIG COMMISSION 7 Goals for the 4-year term Raise awareness about necessityand benefitof property registration among society being a mastermind in developments of good land management Get one step further in developing trustable, self-monitoringand sustainable land registration systems Use modern technologies for raising securityof property information and for improving trust of citizens into systems providing expertise for securing land tenure and advocating citizens rights Make the citizenthe centre of the procedures in cadastre and land management initiating professional discussions on new business models as required by a changing society Build solid long-term co-operationwith UN bodies and NGOs (UN Habitat, GLTN, FAO, WB, UN GGIM e.a.) DANIEL PÁEZ, PhD dpaez@uniandes.edu.co

11 FIG COMMISSION 7 Structure Chair V-Chair for communications, social media, web Fit-For-Purpose LA Ch. Lemmen (NL) WG 7.2 LM in WG 7.1 CC and PP Disaster areas D. Páez (CO) WG 7.3 Crowdsourcing of Land Rights R. McLaren (UK) WG 7.4 Citizen Cadastre G. Iván (HU) Joint WG C3/C7 3D Cadastre DANIEL PÁEZ, PhD dpaez@uniandes.edu.co

12 DANIEL PÁEZ, PhD

13 Working Group 7.1 Fit-For-Purpose Land Administration Chair: Dr. Ir. Christiaan Lemmen, The Netherlands Policy Issues identify role of Fit-For-Purpose Land Administration in relation to sustainable land use, food security, climate change etc. in the post-2015 Development Agenda implementing the Continuum of Land Rights and the STDM into operation at country level including innovative methodologies for fast and low cost recording of land rights and appropriate land rights for future housing, including proposals for innovative land rights (new models of leasehold, tenure of public land etc.) identify the value of land consolidation and land readjustment for rural and urban areas in poverty prevention programmes develop the second edition of the Land Administration Domain Model with ISO on behalf of FIG by integrating partners from local-national, regional and international organisations, NGOs, NPOs, insurances, reinsurances, bank companies, bar associations promoting the development of innovative hard- and software solutions for land administration identify the needs for further development, quality improvement and system optimisation after Fit-For-Purpose Land Administration is implemented DANIEL PÁEZ, PhD

14 Working Group 7.2 Land Management in Climate Change and Pre- and Post-Disaster Areas Chair: Daniel Páez (PhD), Colombia, Policy Issues assessment of land tenure in post-disaster areas pre-disaster assessment / documentation of land tenure legal/institutional/technical Fit-For-Purpose methods to secure land rights in pre- and post-disaster areas impact of climate change on land tenure / loss of land, land use changes compensation for value changes, consolidation of agricultural land, adjustment of urban land in post disaster regions new technologies for data capture in pre-disaster areas / validation of third party data cooperation models with public authorities / voluntary guidelines in conflicts capacity building in disaster response bodies spatial data infrastructures for pre-, during and post-disaster response (link to FIG Commission 3) DANIEL PÁEZ, PhD dpaez@uniandes.edu.co

15 Working Group 7.3 Crowdsourcing of Land Rights Chair: Dr Robin McLaren, United Kingdom, Policy Issues family of mobile devices supporting remote and in-situ capture of evidence of land rights global platforms managing evidence of land rights and obligations service delivery models scalability and capacity building of trusted intermediaries and land owners role of social media / validation of third party data impact on perception of security of tenure managing unintended consequences and privacy cooperation with public authorities in recognition or conversion of informal rights link to Working Group 7.1 Fit-For-Purpose Land Administration impact on land professionals and associate curriculum DANIEL PÁEZ, PhD dpaez@uniandes.edu.co

16 Working Group 7.4 Citizen Cadastre Chair: Gyula Iván(M.Sc.), Hungary, Policy Issues land tenure and culture and society needs multi-dimensional and multi-temporal cadastre security of land tenure alternative forms of land tenure in changing society (generation property, affordable land, temporary urban and agricultural land tenure) complementary to WG 7.1 role of land owner as key stakeholder privacy issues / access to data for citizens responsibilities of public authorities / cooperation models / fraud prevention analysis of trust in different land administration models assessment models for performance of land administration systems training of land owners / capacity building in institutional bodies building codes and IPMS standards for data in land administration representation in Joint WG on 3D Cadastre of Commission 3 and 7 DANIEL PÁEZ, PhD dpaez@uniandes.edu.co

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18 Cadaster 4.0 Cadaster for people made by people. Cadastre 4.0 as a paradigm close the circle between new technologies and automatisation of processes, products and services and stakeholders, including citizen and land owners as essential partners at equal level. It is a partnership model building coalitions /symbiosis between professionals in private and public service, between citizen and users and public authorities and between technology and society. Cadastre 4.0 establishes links between the virtual and real world securing interests of land owners, society, governments and economy. It sets the scene for permanent communication between people, procedures and products. The Internet of Things is amended by a social aspect. Cadastre 4.0 if implemented, will help to save resources and at the same time will provide solutions in a more flexible, a more efficient and a more social way. DANIEL PÁEZ, PhD dpaez@uniandes.edu.co

19 Investment in the last 10 years estimated at: USD$200 million Improvement : 7% (area) It would take Colombia 112 years and 7.2 billions to complete the picture Formed updated Formed out of date Not form Source: IGAC

20 There is a direct correlation between Consequences.. poverty and cadaster problems Cadaster problems Poverty Source: IGAC Source: Rojas et al. 2009

21 Indiginous reserves in Colombia

22 INTRODUCTION Colombia s Current Situation Indigenous territories are not benefiting from the rapid economic development of the country 29.8% of Colombian territory are indigenous reserves 3.28% of Colombians are indigenous Infrastructure on indigenous regions is scarce. Parcel based system conflicts with the traditional administration of land (Gobernación Vaupes and DANE, 2010).

23 Case study Mitu Vaupes No governmental support Workshops attractive enough DIFFICULTIES Lack of public services The need for isolated environment s. Lack of knowledge on geographical limits.

24 Our project Inteligent mapping Exploring the territory New technologies Recording knowledge Community mapping Societal administration Intelligent mapping Empowering communities Tells a story of a place today for needs tomorrow

25 Our project General Objectives Propose reforms on existing LAS to build a proper cadaster of indigenous territory Documents specific data where pressures affect tenure, land-use or rights. Improvingsocial conditions. Map indigenous areas using Intelligent mapping. Highlights land fragmentation approaches. Collectsand incorporates the knowledge and traditions of indigenous communities. Identifies resources, general boundaries and land uses.

26 Community mapping A methodology based on the three stages plan proposed by Herlihy (2004) inquire, mapping/georeference and feedback. Includes previous knowledge of the community and area available on the literature Based on circumstancesof the indigenous territories in Colombia basic information needed to protect land rights while respecting traditions and culture. Key research: Michael Berry from Calgary University

27 RESULTS From the fieldwork it was obtained sketchs of the territory made by the captain, number of inhabitants, female and male proportionandasketchofthepointsobtainedwiththegps. CEIMA SAN PABLO

28 RESULTS community mapping CUCURA PUEBLO NUEVO

29 Our project Inteligent mapping New technologies Community mapping Societal administration Intelligent mapping

30 DANIEL PÁEZ, PhD RURAL LAND PRODUCTIVITY DEPENDS ON MANY INDEPENDENT FACTORS Porque la producción rural depende de muchos factores

31 WE HAVE DEVELOPED A GEOGRAPHIC TOOL TO IMPROVE UNDERSTANDING RELATIONSHIP BETWEEN RURAL LAND AND INFRASTRUCTURE Nosotros hemos desarrollado herramientas para tratar de unir estos dos 31 factores

32 DANIEL PÁEZ, PhD THIS TOOL ESTIMATES LAND VALUE INCREASES BASED ON ROAD INVESTMENT Esta herramienta ayuda estimar incrementos en los valores de la tierra dependiendo de las inversiones en infraestructura

33 CROWDSOURCING: THE FUTURE El futuro: usar las masas

34 FIG Com7Annual Meeting 2016 GeoConference on Cadastre4.0 Participation, Collaboration and Transparency Oct 2016, Coimbra/Portugal 5th International FIG Workshop on 3D Cadastres FIG Com3/ Com October 2016, Athens/Greece

35 Land Consolidation and Readjustment for Sustainable Development - Designing Resilient Landscapes and Empowering Communities 9-11 November 2016, Apeldoorn/The Netherlands Co-organised byfig Com7 / Com8 / Dutch Kadaster/ FAO FIG Working Week 2017 May 29 2 June 2017, Helsinki/Finland

36 October 2017 Cartagena Colombia COMM 717 Annual meeting

37 UN-GGIM academic network Regional Institutes ACADEMIC NETWORK National International Research and Training Institutes August 2016, NY Academic Network Report Academic Network Report

38 Objectivesof Academic Network The UN-GGIM Academic Networkwill be a coalition of recognized universities, research and education centers or equivalent involved in the research, development and training on geospatial and land information and related matters. The Academic Networkwill be a platform for the academic community to provide input and to support UN-GGIM in achieving its vision and goals by generating a platform for academic community to input to the UN-GGIM process in the form of strategic knowledge, research, education and training, and will be a strategic arm to empower UN-GGIM to achieve their vision and goals. The Academic Network will provide both research and education capabilities for UN-GGIM and affiliated members to identify and response to challenges and opportunities in which UN-GGIM and related UN offices can achieve their visions. Academic Network Report

39 Academic Network Task Team Members Prof Abbas Rajabifard, The University of Melbourne, Australia (Chair) Prof Daniel Páez, University of Los Andes, Colombia (Secretary) Prof Huayi Wu, Wuhan University, China Prof Joep Crompvoets, KU Leuven, Belgium Prof David Coleman, University of New Brunswick, Canada Prof Harlan Onsrud, University of Maine, USA Prof Menno-Jan Kraak, University of Twente, Netherlands Prof Josef Strobl, University of Salzburg, Austria Prof Maria Antonia Brovelli, Politecnico di Milano, Italy Prof jide Kufoniyi, Obafemi Awolowo University, Nigeria Academic Network Report

40 lab.uniandes.edu.co DANIEL PÁEZ, PhD

41 Other about drones

42 Technology comparison google earth (many qualities) Fixed wind rapid mapping 8cm pixels Multi rotor and fixed wind High quality 2cm pixels

43 Flying planning and ejecution tools Automatic: YES Reliable: NO

44 Data processing Georeferncing images Photogrametry Spatial analysis Urbano

45 Results: Fixed wind

46 Results: multi-rotor

47 DEM-DSM -DTM