Siskiyou County boundary.

Siskiyou County incorporated city boundaries were created based on the Board of Equalization Tax Rate Areas and the Siskiyou County Assessor's parcels tax rate areas.

A feature layer used to share emergency incident locations and related information.

CDFW BIOS GIS Dataset, Contact: Erin Zulliger, Description: Migration corridor, stopover, and winter range locations for Rocky Mountain elk (Cervus canadensis nelsoni) from the East Shasta Valley herd, Siskiyou County, California, and Klamath County, Oregon. Corridors, stopovers, and winter ranges were developed in Migration Mapper with Brownian Bridge Movement Models using GPS locations from collared elk. Migration corridors represent movement routes used by elk between winter and summer range habitats.

Siskiyou County zoning designations.

A map used in the Emergency Information Manager application to map incidents, identify impact and inform stakeholders.

This shapefile contains tax rate area (TRA) boundaries in Siskiyou County for the specified assessment roll year. Boundary alignment is based on the 2017 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number

A feature layer view used to monitor emergency incident locations and related information.

Historic fire perimeters from 1910 to 2020. Acquired from Calfire.

A feature layer used to share emergency incident locations and related information.

A feature layer view used to share emergency resources such as shelters and distribution points for essential items and care.

The National Flood Hazard Layer (NFHL) data incorporates all Flood Insurance Rate Map (FIRM) databases published by the Federal Emergency Management Agency (FEMA).

A map used in the Public Information application to display authoritative information about an incident or current event.

A map used in the Incident Status Dashboard to monitor response activities and measure progress on incident objectives.

School district boundaries for elementary and unified school districts in Siskiyou County California, based on Tax Rate Areas.

CDFW BIOS GIS Dataset, Contact: Chris Stermer, Description: The database represents nine point locations and associated stand assessment data collected with known aspen stands in the Klamath National Forest, Siskiyou County, California. The associated Klamath National Forest Region 5 Existing Vegetation aspen layer was derived from 1995 LANDSAT TM imagery, SPOT imagery, orthophotos, aerial photos and auxiliary layers. Stands were classified based upon conditions such as primary and dominant tree species, tree size, and tree density.

A feature layer view used to share emergency resources such as shelters and distribution points for essential items and care.

description: This dataset was developed by Chris Stermer (CDFG - RAP Program). No original metadata were located, but the following is an abstract from a document describing the product: We conducted field surveys for Willow Flycatchers (Empidonax traillii brewsterii) in 1997 and 1998, from June 15 through July 31, within the McCloud Flats region of Siskiyou County, California. A Geographic Information System (GIS) was used to predict potentially suitable habitat to survey prior to field visits. We used a GIS to model willow flycatcher habitat within our study area from remotely sensed data and digitally mapped data layers. Spatially explicit data used in our predictions included a vegetation map (a vegetation classification derived from Landsat 5 Thematic Mapper imagery), a Digital Elevation Model (DEM), a slope gradient model, and a stream layer. Seventy-seven Willow Flycatcher territories were found during our surveys. Nine of the territories were located within a large montane meadow complex (Bigelow Meadows) known to have Willow Flycatchers, the remaining territories (68) were predicted using a GIS pattern analysis. We characterized vegetation within .07 ha circular plots centered This dataset was modified on May 17, 2005 by Eric Haney of CDFG - Information Services branch. Modifications included addition of a Site_ID Field, and fields representing UTM Northing and Easting coordinates (using NAD83 Datum). These fields were added to assist in an effort to field validate the dataset. Note that not all UTM coordinates are located within habitat polygons. Depending on the irregular shape of the polygons, some of the utm coordinates are located outside the boundaries. These coordinates are only to be used for coarse navigational purposes. While there is no publication date planned, Region 1 staff are working to validate the model results. For more information, please visit: http://ncncr-isb.dfg.ca.gov/ITP/DesktopDefault.aspx?tabindex=9&tabid=59 The GI; abstract: This dataset was developed by Chris Stermer (CDFG - RAP Program). No original metadata were located, but the following is an abstract from a document describing the product: We conducted field surveys for Willow Flycatchers (Empidonax traillii brewsterii) in 1997 and 1998, from June 15 through July 31, within the McCloud Flats region of Siskiyou County, California. A Geographic Information System (GIS) was used to predict potentially suitable habitat to survey prior to field visits. We used a GIS to model willow flycatcher habitat within our study area from remotely sensed data and digitally mapped data layers. Spatially explicit data used in our predictions included a vegetation map (a vegetation classification derived from Landsat 5 Thematic Mapper imagery), a Digital Elevation Model (DEM), a slope gradient model, and a stream layer. Seventy-seven Willow Flycatcher territories were found during our surveys. Nine of the territories were located within a large montane meadow complex (Bigelow Meadows) known to have Willow Flycatchers, the remaining territories (68) were predicted using a GIS pattern analysis. We characterized vegetation within .07 ha circular plots centered This dataset was modified on May 17, 2005 by Eric Haney of CDFG - Information Services branch. Modifications included addition of a Site_ID Field, and fields representing UTM Northing and Easting coordinates (using NAD83 Datum). These fields were added to assist in an effort to field validate the dataset. Note that not all UTM coordinates are located within habitat polygons. Depending on the irregular shape of the polygons, some of the utm coordinates are located outside the boundaries. These coordinates are only to be used for coarse navigational purposes. While there is no publication date planned, Region 1 staff are working to validate the model results. For more information, please visit: http://ncncr-isb.dfg.ca.gov/ITP/DesktopDefault.aspx?tabindex=9&tabid=59 The GI

The 2000 Siskiyou County land use survey data set was developed by DWR through its Division of Planning and Local Assistance (DPLA). The data was gathered using aerial photography and extensive field visits, the land use boundaries and attributes were digitized, and the resultant data went through standard quality control procedures before finalizing. The land uses that were gathered were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The data was gathered and digitized by staff of DWR’s Northern District. Quality control procedures were performed jointly by staff at DWR’s DPLA headquarters and Northern District. Important Points about Using this Data Set: 1. The land use boundaries were drawn on-screen using the USGS orthophotoquads. They were drawn to depict observable areas of the same land use. They were not drawn to represent legal parcel (ownership) boundaries, or meant to be used as parcel boundaries. 2. This survey was a "snapshot" in time. The indicated land use attributes of each delineated area (polygon) were based upon what the surveyor saw in the field at that time, and, to an extent possible, whatever additional information the aerial photography might provide. For example, the surveyor might have seen a cropped field in the photograph, and the field visit showed a field of corn, so the field was given a corn attribute. In another field, the photograph might have shown a crop that was golden in color (indicating grain prior to harvest), and the field visit showed newly planted corn. This field would be given an attribute showing a double crop, grain followed by corn. The DWR land use attribute structure allows for up to three crops per delineated area (polygon). In the cases where there were crops grown before the survey took place, the surveyor may or may not have been able to detect them from the field or the photographs. For crops planted after the survey date, the surveyor could not account for these crops. Thus, although the data is very accurate for that point in time, it may not be an accurate determination of what was grown in the fields for the whole year. If the area being surveyed does have double or multicropping systems, it is likely that there are more crops grown than could be surveyed with a "snapshot". 3. If the data is to be brought into a GIS for analysis of cropped (or planted) acreage, two things must be understood: a. The acreage of each field delineated is the gross area of the field. The amount of actual planted and irrigated acreage will always be less than the gross acreage, because of ditches, farm roads, other roads, farmsteads, etc. Thus, a delineated corn field may have a GIS calculated acreage of 40 acres but will have a smaller cropped (or net) acreage, maybe 38 acres. b. Double and multicropping must be taken into account. A delineated field of 40 acres might have been cropped first with grain, then with corn, and coded as such. To estimate actual cropped acres, the two crops are added together (38 acres of grain and 38 acres of corn) which results in a total of 76 acres of net crop (or planted) acres. 4. Water source and irrigation method information were collected for this survey, but are not present in this dataset. Contact Tito Cervantes of Northern District for more information about this data. 5. Not all land use codes will be represented in the survey.

Watershed boundaries in Siskiyou County.