20261103
06301100
FALSE
MSCP_Habitrak
246539.165000
311060.477100
-604369.449200
-533248.736900
1
002
Projected
GCS_North_American_1983
Linear Unit: Meter (1.000000)
NAD_1983_California_Teale_Albers
<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/3.5.0'><WKT>PROJCS["NAD_1983_California_Teale_Albers",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",-4000000.0],PARAMETER["Central_Meridian",-120.0],PARAMETER["Standard_Parallel_1",34.0],PARAMETER["Standard_Parallel_2",40.5],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3310]]</WKT><XOrigin>-16909700</XOrigin><YOrigin>-8597000</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3310</WKID><LatestWKID>3310</LatestWKID></ProjectedCoordinateSystem>
1.0
ISO 19139 Metadata Implementation Specification
20261009
08343800
20261009
08343800
500000
5000
MyMetadataToolkit
HCPB GIS
California Department of Fish and Wildlife, Habitat Conservation Planning Branch
GIS Specialist
HCPB_GIS@wildlife.ca.gov
20261009
ArcGIS Metadata
1.0
San_Diego_NCCP_Gain_Loss_Summary_thru_2025
vector digital data
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>An NCCP identifies and provides for the regional protection of plants, animals, and their habitats, while allowing compatible and appropriate economic activity. Working with landowners, environmental organizations, and other interested parties, a local agency oversees the numerous activities that compose the development of an NCCP. CDFW and the U.S. Fish and Wildlife Service provide the necessary support, direction, and guidance to NCCP participants. HabiTrak consolidates the NCCP Habitat Gains and Losses into a single system.</SPAN></P></DIV></DIV></DIV>
The purpose of this data set is to summarize the gains and losses under California Department of Fish and Wildlife approved Natural Community Conservation Plans in San Diego County.
California Department of Fish and Wildlife, Habitat Conservation Planning Branch, Landscape Conservation Planning Program.
HCPB GIS
California Department of Fish and Wildlife, Habitat Conservation Planning Branch
GIS Specialist
HCPB_GIS@wildlife.ca.gov
California Department of Fish and Wildlife
CDFW
HabiTrak
NCCP
MSCP
Planning
Cadastral
San Diego County
ISO 19115 Topic Categories
planning
Cadastre
California Department of Fish and Wildlife
CDFW
HabiTrak
NCCP
MSCP
Planning
Cadastral
San Diego County
planning
Cadastre
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This work is licensed under Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). Using the citation standards recommended for BIOS datasets (https://www.wildlife.ca.gov/Data/BIOS/Citing-BIOS) satisfies the attribution requirements of this license.</SPAN></P></DIV></DIV></DIV>
Version 6.2 (Build 9200) ; Esri ArcPro 3.2.2
true
-117.379401
-116.667509
33.183571
32.523509
San Diego County. Data current as of 12/31/2025 and updated annually in Winter/Spring of following year.
2025-12-31T00:00:00
1
-117.379401
-116.667509
33.183571
32.523509
47902
Gain_Loss_Summary_thru_2025
Object
ArcGIS
Feature Class
47902
OBJECTID
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
OBJECTID
OID
4
0
0
Shape
Feature geometry.
Esri
Coordinates defining the features.
Shape
Geometry
0
0
0
PROJECTID
Key Field connecting multiple tables involved in HabiTrak processing
Responsible Municipality
Project ID
GUID
38
0
0
AGENCYNAME
Name of responsible municipality
CDFW
AGENCYNAME
String
40
0
0
PLANNAME
Conservation plan name
CDFW
PLANNAME
String
50
0
0
HPA_WITHIN
Is Project within NCCP Habitat Planning Area?
Responsible Municipality
HPA_WITHIN
String
3
0
0
AREA_METERS
Area of feature polygon in Square Meters. May be more than one polygon per project.
CDFW
AREA_METERS
Double
8
0
0
MERGE_SRC
Dataset source
MERGE_SRC
String
255
0
0
PROJECTNAME
PROJECTNAME
String
50
0
0
Project Name
Responsible Municipality
PROJECTAPPLICANT
PROJECTAPPLICANT
String
50
0
0
Project Applicant
Responsible Municipality
PROJECTTYPE
PROJECTTYPE
String
10
0
0
Project Type
Responsible Municipality
CHANGE
CHANGE
String
25
0
0
Archived field not populated
SanGIS
STATUSDATE
STATUSDATE
Date
8
0
0
Date recorded by Responsible Municipality
Responsible Municipality
SEGMENTNAME
SEGMENTNAME
String
50
0
0
Area of Plan
CDFW
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
File Geodatabase Feature Class
external
3d6672aeae22d729c2635ee88cea959b639a8f5a
SanGIS
(858) 874-7000
5500 Overland Avenue, Suite 230
San Diego
California
92123
US
webmaster@sangis.org
Data Librarian
Data Librarian
SanGIS
True
Data Librarian
Data can be downloaded in multiple formats (FileGDB, Shapefile, CSV, GeoJSON and JSON) from the SanGIS Data Warehouse at https://gis-sangis1.hub.arcgis.com/pages/download-data
Refer to SanGIS website (www.sangis.org) to obtain further information on mapping and data extraction services available from SanGIS.
dataset
EPSG
6.8(9.2.0)
Simple
FALSE
47902
TRUE
FALSE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