National LUP workshop 4.10. - 5.10.2012, Vientiane, lao PDR TABI Harmonization of Land Classification and Mapping Standards

1. Session 2:
Harmonization of Land Classification
and Mapping Standards
Rural Land Use Planning Experience Sharing – Lessons Learned – Workshop
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Vientiane, 4th – 5th October 2012
15.10.2012

2. 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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3. 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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4. 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/Maps
2.) Future Management Plan Data/Maps
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5. TECHNICAL IMPLEMENTATION: from Classification
Scheme to Data Model
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6. TECHNICAL IMPLEMENTATION of proposed
harmonized land classification and mapping
Table 1: Current land use Table 2: Future Mgt
Map Zonation Map
Main sub- Main sub-
Land types
Category Category Category 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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7. 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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8. Current Land Use Map: Example 1: Ban Donsai, Ponsai
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9. Land Use Planning / Zonation Map: Example 1, Ban Donsai
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10. Current Land Use Map: Example 2: Ban Phungman, Phoukoudt
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11. Land Use Planning / Zonation Map: Example 2: Ban Phungman
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12. 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
12 model (e.g. LUP- platform website)
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13. 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.
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