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International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B4. Istanbul 2004
Doing the same as for LuU, and based on the technical
guidelines, we conduct the spatial resolution requirud for each
land registration and land allocation shown in figure 4 below.
—**—-Land allocation
a= | and registration
£d
e
Spatial resolution (m)
Interested area
Urbani Urbani! Rural! Ruralll Forest
High land
Figure 4: Spatial resolution of LP in LR group
3.3 The multi thematic resolution of spatial data
As stated above, land use is the core information contained in
both LuU and LP. For the case of LuU, the thematic resolution
is defined as land use classes mentioned in LUCS. Based on the
analysis of the requirement, LuU is required detailed at 60 land
use classes and at four levels of LUCS for all management
levels.
LuU in MLU group
Level 1 Level 2 Level 3 Level 4
LP in LR group
Level 1 Level 2 Level 3
Vietnam land use classification system
Figure 5: Thematic resolution between land registration group
and macro land use management group
For LP, thematic resolution is defined as land use class in
LUCS. Differently, the land use class required for LP is not
detailed at all 60 land use classes and at four levels in LUCS.
LP is required with 30 kinds of land use classes, which is
normally at level 3 in LUCS. Land user can have right to use
land at any sub-class of the land use class, which is registered in
register book. For example, if the land user has land use rights
at class I.1.a. This land user can use at any sub-class 1.1.a.1,
Lia2 Lia3orll ad
Figure 5 illustrates the difference of thematic resolution of SD
required by LR group and MLU group. The red cell means the
land use class required by each discipline group. 7
241
3.4 Conclusion & Discussion
Based on the above quantified results and concerning to the
ability of data genera!izatiz between resolutions, we come to
eznzloasus as DClOW:
- From LR group, land use data can be abstracted and
generalized to meet the technical requirements of four
administrative levels and MLU group.
- For spatial resolution requirement: LP can be abstracted
and generalized to all detailed resolution of LuU required.
- For thematic resolution: LP can be abstracted and
generalized to detail at level 3 in LUCS.
There are three discussions relating to the issues of data
acquisition and data management as follow:
1) Land use data abstracted from LR group, can be generalized
and used for LUM group. The limitation of that thematic
resolution of data after generalization only reaches at level 3
LUCS, can be overcome in combination with other acquisition
means such as, field survey or remote sensing technology (RS).
2) In the other hand, this ability (generalized land use from LR
group to MLU group) coincides with the characteristics of
Vietnam LA, where much attention is paid for land use aspects.
3) However, if LR group is place where land policy
implemented at practical level then the information captured by
this group must be the most detailed available in LA system.
So, why does MLU group require land use information even
more detail than LA system can produce? This might be another
side of the question of inconsistency and inaccuracy of data
management in Vietnam LA.
In short, the quantification work not only shows ability of a
framework for land use data generalization from LR group to
MLU group, but also the complication and the issues of data
itself in Vietnam LA system.
4. CASE STUDY
4.1 Case study introduction
Case study has the objectives: (1) to test the ability of land use
data be abstracted and generalized from LR group to MLU
group; and (2) to experience the combination with RS to detect
land use data detail at level 4 of LUCS. In detail, land use unit
at class I.1.a is generalized from LR group. RS will supports to
detect LuU at sub-class of I.1.a. Detail information for class
[.1.a and its sub-class is described as following:
IL. La; Rice & premature rice
Ll: 3 crops rice
[.1.2.2: 2 crops rice
].1.a.3: 1 crops rice
I.1.a.4: Premature rice
The case study area is a whole Bacly commune in Ly Nhan
district, Hanam province. Data of LR group has been
computerized for the whole Bacly commune. The software MS
Access, MapInfo and Ilwils 3.0 are used for data processing.
Data for case study includes of LP from LR group (updated in
year 2000) and satellite image Landsat 7 ETM+ (acquired
2000).