20231212
11390500
1.0
FALSE
base.GISADMIN.luis_202311_aggcells
002
Server=NRCSQL; Service=sde:sqlserver:NRCSQL; Database=base; User=gisadmin; Version=sde.DEFAULT
ArcSDE Connection
Projected
GCS_NZGD_2000
Linear Unit: Meter (1.000000)
NZGD_2000_New_Zealand_Transverse_Mercator
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.1.0'><WKT>PROJCS["NZGD_2000_New_Zealand_Transverse_Mercator",GEOGCS["GCS_NZGD_2000",DATUM["D_NZGD_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",1600000.0],PARAMETER["False_Northing",10000000.0],PARAMETER["Central_Meridian",173.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",2193]]</WKT><XOrigin>-4020900</XOrigin><YOrigin>1900</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2193</WKID><LatestWKID>2193</LatestWKID></ProjectedCoordinateSystem>
CopyFeatures luis_202311_aggcells C:\Users\rosem\ArcGIS\MWLCR_LUC_2023\NRCLUC_202311\MWLCR_LUC.gdb\luis_202311_aggcells # # # #
CopyFeatures luis_202311_aggcells \\NRCSQL\data\administration\sde_connection_files\gisadmin@base@nrcsql.etgnrc.net.sde\base.GISADMIN.MWLCR_LUC\base.GISADMIN.luis_202311_aggcells # # # #
Rename \\NRCSQL\data\administration\sde_connection_files\gisadmin@base@nrcsql.etgnrc.net.sde\base.GISADMIN.MWLCR_LUC_Nov2023\base.GISADMIN.luis_202311_aggcells \\NRCSQL\data\administration\sde_connection_files\gisadmin@base@nrcsql.etgnrc.net.sde\base.GISADMIN.MWLCR_LUC_Nov2023\base.GISADMIN.MWLCR_luis_202311_aggcells FeatureClass
20231212
15050800
20231213
8582800
150000000
5000
ItemDescription
Microsoft Windows Server 2012 Version 6.2 (Build 9200) ; Esri ArcGIS 13.1.3.41833
MWLCR_luis_202311_aggcells
Manaaki Whenua – Landcare Research Land use classification aggregated cells based on ALUM schema - Nov 2023.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>LUC AggCells:</SPAN></P><P><SPAN>2023 land-use map of Northland according to the Australian Land Use and Management (ALUM) Classification Version 8 (https://www.agriculture.gov.au/abares/aclump/land-use/alum-classification). "The Australian Land Use and Management (ALUM) Classification system provides a nationally consistent method to collect and present land use information for a wide range of users across Australia. The latest version (Version 8) of the classification conforms to the Australian Spatial Data Infrastructure (ASDI) standard for land use datasets and is also available as an environmental vocabulary service or glossary." "The ALUM Classification version 8 includes fields to collect commodity and land management practice information. These fields allow consistent recording of more detailed information about crops, livestock and management techniques which can be determined at the time of mapping. This information allows further distinction within a land use class such as separating tree fruits into bananas and mangoes. It is also particularly useful in responding to or preparing for biosecurity incidents." See: ABARES 2016, The Australian Land Use and Management Classification Version 8, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra. CC BY 3.0. ISBN: 978-1-74323-310-8. ABARES project: 115063-43590. This classification system has been applied to Northland in the absence of an equivalent classification system for application in New Zealand. It provides a three-level hierarchy of land-use information with six primary classes of land use that are distinguished in order of generally increasing levels of intervention or potential impact on the natural landscape. 1. Conservation and Natural Environments: Land is used primarily for conservation purposes, based on the maintenance of essentially natural ecosystems already present. 2. Production from Relatively Natural Environments: Land is used mainly for primary production based on limited change to the native vegetation. 3. Production from Dryland Agriculture and Plantations: Land is used mainly for primary production, based on dryland farming systems. 4. Production from Irrigated Agriculture and Plantations: Land is used mainly for primary production, based on irrigated farming. 5. Intensive uses: Land is subject to substantial modification, generally in association with closer residential settlement, commercial or industrial uses. 6. Water: Although primarily land cover types, water features are regarded as essential to the classification. However, class 2 is not applied. ALUM can be converted to other classiifcation systems, including ANZSIC. The classification information is captured in three fields: "lu_coden" (numerical ALUM land use code, e.g. 331); "lu_code" (ALUM land use code, e.g. 3.3.1); "lu_description" (controlled description of land-use, e.g. "Cereals"). In addition, other attributes are captured according to the ALUM schema and controlled vocabularies: - Commodity type, a controlled vocabulary of terms to describe commodities of agricultural systems, such as horticultural crops, dairy cattle, etc. This is represented in the data structure by the field "commod_desc". - Management practice, a controlled vocabulary of terms to describe management practices of agricultural systems, such as irrigation regimes. This is represented in the data structure by the field "manage_desc". - Source scale, field "source_scale". - Source date, field "source_date", the date the source data was published. - Source data, field "source_data", the name or means of the primary source of data (although typically only one is given, often the decision is made by corroboration across multiple sources of data from various sources). Examples are "MWLR", "NRC LiDAR". - Confidence, field "confidence", the confidence in classification of the feature. A qualitiative value between 1–4: 1=Very confident, 2=Confident, 3=Reasonably confident, 4=Not very confident. - Other comments, field "comments". - Date of land-use classification, field "luc_date".</SPAN></P></DIV></DIV></DIV>
Manaaki Whenua – Landcare Research
aggregated
manaaki whenua landcare research
Enterprise Geodatabase Feature Class
dataset
EPSG
6.15(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
base.GISADMIN.luis_202311_aggcells
Feature Class
0
OBJECTID
fid
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
geom
geom
Geometry
8
0
0
ogc_fid
ogc_fid
Integer
4
10
0
unit_id
unit_id
Double
8
38
8
parcel_id
parcel_id
Integer
4
10
0
lu_coden
lu_coden
Integer
4
10
0
lu_code
lu_code
String
1073741822
0
0
lu_description
lu_description
String
1073741822
0
0
comments
comments
String
1073741822
0
0
source_scale
source_scale
String
1073741822
0
0
source_date
source_date
Date
8
0
0
source_data
source_data
String
1073741822
0
0
confidence
confidence
Integer
4
10
0
commod_desc
commod_desc
String
1073741822
0
0
manage_desc
manage_desc
String
1073741822
0
0
luc_date
luc_date
Date
8
0
0
layer
layer
String
1073741822
0
0
path
path
String
1073741822
0
0
geom.STArea()
geom.STArea()
Double
0
0
0
geom.STLength()
geom.STLength()
Double
0
0
0
20231213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