16.06.2022 1 Rural Land Use Planning Experience Sharing – Lessons Learned – Workshop Vientiane, 4 th – 5 th October 2012 Session 2: Harmonization of Land Classification and Mapping Standards
Jun 21, 2015
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Rural Land Use Planning Experience Sharing – Lessons Learned – Workshop
Vientiane, 4th – 5th October 2012
Session 2:Harmonization of Land Classification
and Mapping Standards
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WHY harmonise land classifications and mapping?
• If different agencies and project use different classes and map standards > then different maps are produced in the same districts – and these maps/datasets cannot be merged/joined.
• Using the same classes/standards and data models is necessary for information exchange – meaning better collaboration and coherent planning
• Specific land use systems in the uplands (eg rotational cultivation, fallow and forest types) need to be incorporated in the classification scheme – to plan for upland land and natural resources management.
• Land use planning and mapping is a precondition for land registration and REDD – and we need to present “standard data sets” to the agencies responsible for LR/T and REDD.
This will all contribution to the national targets on land use planning, sustainable land zoning and management
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HOW to harmonize land classifications and mapping?
• Joint development and consultation processes between MONRE ( GIZ) and MAF ( TABI) over the last 14 months.
• Existing classification schemes and guidelines used as a reference:• Land Law and Forest Law (but interpreted)• NLMA / LNRRIC and DLUPD: 8+ land classes for land zoning• NLMA and MAF and various Project field experience• MTPW legal framework for roads, rivers, • etc
• Based on state-of-the-art GIS mapping tools and international colouring codes and standards
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BASIC PRINCIPLE of harmonized land classification and mapping
3 Level Hierarchical Land Classification
Level 1: 8 Land Types (according to land law)
Level 2: Main Land Categories (38 Categories)
Level 3: Sub Land Categories (> 80 Sub-categories)
2 Levels or types of Mapping Objectives:1.) Current Land Use Data/Maps2.) Future Management Plan Data/Maps
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TECHNICAL IMPLEMENTATION: from Classification Scheme to Data Model
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TECHNICAL IMPLEMENTATION of proposed harmonized land classification and mapping
Table 1: Current land use Map
Table 2: Future Mgt Zonation Map
Land typesMain
Categorysub-
CategoryMain
Categorysub-
Category
1 F: Forest 4 13 5 16
P: Plantation 1 6 - -
2 A: Agriculture land 11 30 10 29
V: other vegetated land 1 3 0 0
U: unvegetated land 1 3 0 0
3 W: Water areas 4 10 4 10
4 B: Settlement 4 9 4 9
5 I: Industrial 3 3 4 4
6 R: Roads 6 6 6 6
7 C: Cultural 3 5 3 5
8 D: Defense 2 2 2 2
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TABI experience with use of harmonized land classification systems and mapping
• Need a special colour for paddy fields in the uplands, as often very small areas.In the lowlands use ‚yellow‘ colour as background for paddy, but in highlands propose to use pink.
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Current Land Use Map: Example 1: Ban Donsai, Ponsai
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Land Use Planning / Zonation Map: Example 1, Ban Donsai
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Current Land Use Map: Example 2: Ban Phungman, Phoukoudt
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Land Use Planning / Zonation Map: Example 2: Ban Phungman
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Conclusions
• The 3 level systematic and hierarchical Land Classification System (for both Current Land Use and Future Management zones), allows for flexibility in terms of degree of detail.
• The system has tested and enhanced where necessary in MONRE (GIZ) and MAF (TABI) over the last 12 month.
• The system enhances data retention and usability in the future.• It is the basis for a enhanced data and information exchange
which can lead to more efficient and coherent planning between sectors (e.g. MAF & MONRE, and projects).
• Technically all necessary tools are available (e.g. colour & symbol files).
• Standardized map production and online mapping are greatly facilitated if the community uses same classification/data model (e.g. LUP- platform website)
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Next steps
• Discussion on land classification/data model for Current Land Use and Future Management Zones.
• Possible changes and enhancements of proposed land classification/data model.
• Formal agreement of MAF and MONRE to use this land classification/data model.