Juris Griņevičs Rural Support Service Deputy director of the Control department Head of Land...
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Juris Griņevičs Rural Support Service Deputy director of the Control department Head of Land parcel register division Use of cadastral data in the Rural
Juris Grievis Rural Support Service Deputy director of the
Control department Head of Land parcel register division Use of
cadastral data in the Rural Support Service Valsts zemes dienesta
20 gadu jubilejas konference Kadastra izaicinjumi digitlaj laikmet
08.05.2013
Slide 2
Rural Support Service The Rural Support Service is responsible
for implementation of a unified state and European Union (EU)
support policy in the sector of agriculture, forestry, fisheries
and rural development; it supervises compliance of the sector with
the laws and regulations and fulfills other functions connected
with agriculture and implementation of rural support policy The
Rural Support Service is a state administration institution. It was
established on 1 January 2000, and operates under the supervision
of the Ministry of Agriculture in accordance with the Law on Rural
Support Service In the framework of its competence, the Rural
Support Service administers the EU and state support for rural
areas, agriculture, forestry and fisheries: Accepts and assesses
project applications; Makes decisions on allocation or rejecting of
financing; Keeps records of the granted financing and controls the
use of it. The Rural Support Service consists of the central office
located in Riga and of territorial structural units 9 regional
agricultural departments 2
Slide 3
Land parcel identification system Land parcel identification
system (LPIS) was developed in the framework of the Integrated
Administration and Control System (IACS) IACS is used to administer
the EU and national direct payments including less favored areas
(LFA) and the support of AEM In order to obtain timely and accurate
information of the agricultural land, its area and also to be able
to identify those areas spatially, LPIS is set up as a geographical
information system (GIS) LPIS production environment is based on
ESRI ArcGIS 10 software products 3
Slide 4
LPIS technologies Spatial data is maintained in a central
Oracle 11g database using ArcSDE connection Data backups are
performed (once a week full data copy, daily incremental backup)
and editing history of important data is maintained into source
layers For publication of data on the intranet ArcGIS Server
REST-driven applications are used, but for public web the ArcIMS
solution is used. Users have ArcGIS Desktop licenses (ArcInfo,
ArcEditor and ArcView) Also specialized applications developed and
being used in ArcGIS Desktop environment for more convenient
everyday work 4
Slide 5
Spatial data available Reference parcel layers (for editing,
with history, with IACS data) Control with remote sensing (CwRS)
parcel layers starting from 2005 4 cycles of orthophoto maps
(1994-1999, 2003-2005, 2007-2008, 2010- 2011) from Latvian
Geospatial Information Agency (LGIA) Topographical map 1: 10 000
from LGIA Cadastral data (2003-2013) from State Land Service VHR
imagery for CwRS campaigns (2005-2012) from European Commission
GNSS measurements from on the spot controls Biologically valued
grasslands Annual agricultural land survey results Forest data from
State Forest Service Afforested land from Latvias State Forests
Agricultural land drainage data Data from Nature Conservation
Bureau for cross-compliance requirements 5
Slide 6
Main map services Public Web map http://karte.lad.gov.lv RSS
intranet map http://gis.lad.gov.lv/lrgis 6
Slide 7
Availability of Cadastral data We are using Cadastre IS data
since year 2003 then we carried out RSS client pre-registration
process (to identify owners and users of agricultural land) In the
past land boundary plan copies (paper data) there submitted by
farmers to get agricultural subsidies for cultivated land Now we
are receiving Cadastral data (graphical and textual part) twice a
year (February and August) 7
Slide 8
Use of Cadastral data To locate spatially the place and
information by cadastre number To print individual maps for RSS
clients by reference parcel numbers and also by cadastre numbers
For splitting of large reference parcels with measured cadastral
boundaries if it is necessary Use of cadastral data in property
rights clearance Annual agricultural land survey is based on
cadastral data Cadastral information is used in aided project
evaluation Often use marker boards in order to visually identify
the land survey boundaries and easements, which help distinguish
the tracks in the meadows from the actual roads 8
Slide 9
Graphical/textual part of Cadastre SLS is now maintaining
separately graphical part of Cadastre and textual part of Cadastre.
Linking these both parts of data there is a risk that some of the
data may be 'lost' if the identifiers do not match. Especially in
cases where the text data and graphic part is exported on various
dates Graphical part of Cadastre consists of points (cadastre
number), lines (property borderlines) and polygons (also
borderlines). To use the data in practice we have to regenerate all
boundary data as lines (for map symbology purposes) and also to the
polygons with the cadastre number as main attribute to them (to
identify the location, for printing the map) 9
Slide 10
Unmeasured cadastral boundaries The situation with unmeasured
cadastral boundaries in the countryside is gradually improving (see
picture), but still there are a lot of cases then communication
with our clients is very difficult because of these unmeasured
boundaries of property 10
Slide 11
Types of land use in explications It is impossible to visually
identify land use areas, which we can read in explication of
cadastral data (textual part) Land use areas often contain
outdated, incorrect information Frequently in explication as
OTHER_LANDS we can see forested areas, agricultural land areas that
should be calculated into other already defined data fields (see
picture) 11
Slide 12
Suggestions Go for the Cadastral GIS, where the spatial and
attribute information is updated at the same time (no more separate
graphical and textual parts) Update and refine land use information
of cadastral data explications Be spatially more accessible to the
public sector (let them use your resources to publish their
property data) 12