Description: Feature class derived from NHD Area and Flowline. Represents the largest river systems on the Tahoe National Forest, such as the Yuba, American and Truckee Rivers.Editing History:March 2016-Updated using the latest versions of NHD Area and Flowline.
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Description: These boundaries represent the proposed projects the Sierra Nevada Conservancy (SNC) is submitting for funding to the CalFire Forest Health GGRF Grant Program as of June 2017. The SNC is the applicant to the grant application, but the boundaries of the proposed project locations were submitted by the applicant's partners including the California Depratment of Parks and Recreation, California Tahoe Conservancy, and the United States Forest Service, Region 5. The locations represent the boundaries of proposed forest health activities aimed at promoting forest resilience and achieving net forest carbon benefit. The boundaries are up-to-date as of the time of the application submittal, June 22, 2017.
Copyright Text: Sierra Nevada Conservancy, California Depratment of Parks and Recreation, California Tahoe Conservancy, and the United States Forest Service, Region 5
Description: These boundaries represent the proposed projects the Sierra Nevada Conservancy (SNC) is submitting for funding to the CalFire Forest Health GGRF Grant Program as of June 2017. The SNC is the applicant to the grant application, but the boundaries of the proposed project locations were submitted by the applicant's partners including the California Depratment of Parks and Recreation, California Tahoe Conservancy, and the United States Forest Service, Region 5. The locations represent the boundaries of proposed forest health activities aimed at promoting forest resilience and achieving net forest carbon benefit. The boundaries are up-to-date as of the time of the application submittal, June 22, 2017.
Copyright Text: Sierra Nevada Conservancy, California Depratment of Parks and Recreation, California Tahoe Conservancy, and the United States Forest Service, Region 5
Description: This feature class (FC) represents the Tahoe HeadwatersTreasured Landscape boundary comprising a portion of the Tahoe NF Truckee RD, nearly the entire American River RD, and the West Shore Treasured Landscape on the LTBMU.PARENT DESCRIPTION - This data set is a complete digital hydrologic unit boundary layer to the Subbasin (8-digit) 4th level for the entire United States. This data set consists of geo-referenced digital data and associated attributes created in accordance with the "Federal Guidelines, Requirements, and Procedures for the National Watershed Boundary Dataset; Chapter 3 of Section A, Federal Standards, Book 11, Collection and Delineation of Spatial Data; Techniques and Methods 11-A3" (04/01/2009). http://www.ncgc.nrcs.usda.gov/products/datasets/watershed/index.html . Polygons are attributed with hydrologic unit codes for 1st(Region), 2nd(Sub-Region), 3rd(Basin), and 4th(Sub-Basin) Hydrologic Unit Level codes, names, Sub-Basin acres and square miles. This data set was obtained from the source in July 2012.EDITING HISTORY:4/26/2017 - Had phone conversation with Dorian Fougeres in Chuck Brickey's office - Dave Fournier was in attendance. Conversation addressed Tahoe Headwaters TL boundary. After phone call, was instructed by Dave to modify boundary per phone call agreement - 1) make TL boundary coincident with the Administrative Boundaries along the ENF and LTBMU in the southeast portion of boundary - that is, no TL boundary extending onto Eldorado NF, and 2) Modify boundary northeast of Tahoe City to include small portion of Lake Tahoe West Collaborative boundary thats not currently included. All spatial edits and metadata update done by TNF GIS staff, Chuck Brickey. 2/1/2017 - Per Dave Fournier's request, modified the boundary to assimilate Truckee TL, West Short TL, and westside American River TL While combining boundaries, per Sally Hallowell (TNF GIS Specialist) updated Truckee TL to be coincident with HU10 watershed boundaries where applicable - this included "Little Truckee River" (1605010201), and "Prosser Creek-Truckee River" (1605010202). The update of the two HU10 boundaries did not significantly change boundary locations. All spatial edits and metadata updated by TNF GIS staff, Chuck Brickey.9/6/2016 - Per Dave Fournier’s request, modified TL boundary along northern boundary to be coincidental with northern boundary of HU12_Subwatershed – “Rattlesnake Creek-South Yuba River”. All spatial edits and metadata updated by TNF GIS staff, Chuck Brickey.
Copyright Text: Funding and support for the Watershed Boundary Dataset (WBD) were provided by the Natural Resources Conservation Service, the Environmental Protection Agency, and the United States Geological Survey. Representatives from the U.S. Geological Survey and Environmental Protection Agency contributed a substantial amount of time and salary towards quality review and updating of the dataset in order to meet the Federal Standards for Delineation of Hydrologic Unit Boundaries.
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Description: The CEC Transmission Lines geospatial data layer contains electric power lines of transmission and some distribution or sub-transmission voltages covering California. Transmission lines can carry alternating current or direct current with voltages typically ranging from 110 kV to 765 kV. Transmission lines can be overhead and underground; underground transmission lines are more often found in urban areas. Sub-transmission lines generally carry voltages ranging from 33 kV to 100kV. These sub-transmission lines transmit power from higher voltage lines or other bulk power sources to local distribution network substations. An overhead power line can be single or double circuit. A single-circuit transmission line carries conductors for only one circuit. For a three-phase system, this implies that each tower supports three conductors. A double-circuit transmission line has two circuits. For three-phase systems, each tower supports and insulates six conductors. Single phase AC-power lines as used for traction current have four conductors for two circuits. Usually both circuits operate at the same voltage. In HVDC systems typically two conductors are carried per line, but in rare cases only one pole of the system is carried on a set of towers. The detailed descriptions on the structure type, material and circuit can be found at here. If you cannot access to the PDF, you may request us to send you a copy of the PDF.The transmission line, substation and power plant mapping database were started in 1990 by the CEC GIS staffs. The final project was completed in October 2010. The enterprise GIS system on CEC's critical infrastructure database was leaded by GIS Unit in November 2014 and was implemented in May 2016. The data was derived from utility companies and USGS topographic map. Some of the data was rectified from GE and Platts transmission line geospatial data. The sources for the transmission line digitizing are including sub-meter resolution of Digital Globe, Bing, Google, ESRI and NAIP aerial imageries, with scale at least 1:5,000. Occasionally, USGS Topographic map, Google Street View and Bing Bird's Eye are used to verify the precise location of a facility. The data was digitized from pole to pole for greater than or equal to 200 kV transmission lines. For transmission lines less than 200kV, the data was digitized on the pole gaps of approximately 1:5,000 or greater. All the data was digitized based on ground level of where a pole was planted.The transmission line was not digitized with one line segment from substation to substation. GIS Unit will merge the multipart lines into one segment in the future, after consulting with the Strategic Transmission Planning and Corridor Designation Office in identifying electricity flow between substation to substation or power plant to substation. Not all transmission line spatial data ended or started with a substation or power plant point spatial data. However, GIS Unit is current developing power plant and substation boundary spatial data which will enclose most of the transmission lines at both ends.
Copyright Text: CEC GIS Unit, REAT, Caliso, PG&E, SCE, SDG&E, LADWP, WAPA, IID, SMUD, MID, MWD, GE, Platts, ANZA Electric Cooperative, Bear Valley, City of Anaheim PUD, City of Colton, City of Vernon, Plumas Sierram PUC, Riverside Public Utilities, and Silicon Valley Power.
Description: These data represent Ecofacets combined with resilience data. Each Ecofacet is attributed with it's membership in both resilience stratifications (by ecofacet and by ecoregion as described in chapter eight of the report), as well as the highest value of the two stratifications. A full description of the development of this dataset can be found in our report, "Conserving Nature's Stage: Identifying Resilient Terrestrial Landscapes in the Pacfic Northwest."
Description: These data represent a land facet classification created for the PNW Climate Resilience Project. A full description of the development of this dataset can be found in our report, "Conserving Nature's Stage: Identifying Resilient Terrestrial Landscapes in the Pacfic Northwest."
Description: This dataset (SRA17_2) represents SRA status as of 11/1/2017.
Copyright Text: Numerous federal agencies have provided data that help us to identify FRA lands (BLM, U.S. Forest Service, National Park Service, U.S. Fish and Wildlife Service, Bureau of Indian Affairs).
Description: Version Information:The data is updated yearly with fire perimeters from the previous fire season.Fire16_1 was released May 4th, 2017. 1 2014 VNC fire perimeter was replaced by a more accurate version. 3 new periemters from 2014 were added (VNC). A new periemter from 2013 was added. 66 new perimeters from 2015 were added. 92 new periemters in Marin County, from 1917 to 1934 were added. They were hand drawn by the Marin County fire Chief Garber and digitized and submitted by NPS. 8 duplicate fire perimeters were deleted.______________________________________________________________________________CAL FIRE (including contract counties), USDA Forest Service Region 5, USDI Bureau of Land Managment & National Park Service, and other agencies jointly maintain a comprehensive fire perimeter GIS layer for public and private lands throughout the state. The data covers fires back to 1878 and 10 acres and greater. Detailed metadata is provided for each individual feature class. ________________________________________________________________________________Historic Update Information:Fire15_1 was released June 9th, 2016. The ALARM_DATE and CONT_DATE fields have been changed from STRING fields to DATE fields. In the many cases where only the year of a fire existed (ex. 19170000) the tool couldn't process the data and the entry is NULL. In those cases, the year can be found in the YEAR field.Fire14_1 was released in May, 2014. After release, the NPS supplied corretions for 14 wildfires and 67 prescribed burns. The corrected data was posted to FRAP's data download page as fire14_1 in late May. Fire 14_2 was released in July, 2015 to reflect that changes had been made to the original release in late May. Version 14_1 from late May is an exact copy of version 14_2 released in July.
Copyright Text: CAL FIRE recognizes the various partners that have contributed to this dataset, including USDA Forest Service Region 5, USDI Bureau of Land Managment, National Park Service, National Fish and Wildlife, and numerous local agencies.
Description: The "Non_FireRx_Legacy" data layer contains vegetation treatment project perimeters from multiple agencies with associated tabular data for responsible agency, contract number, project name, start date, and acres reported. Data provided are merged from sources of varying quality. This dataset is a sub-set of the 'rxburn' dataset compiled by CAL FIRE. This dataset is considered to be a legacy dataset of vegetation management projects and should not be assumed to be a full accounting of all such projects from contributing agencies. A great deal of user discretion is advised in the use of this dataaset.
Copyright Text: Legacy vegetation management projects from CAL FIRE, USFS, NPS, and BLM.
Description: _____________________________________________________________________________Version Information:The data is updated yearly with the previous fire season's fire perimters. Fire16_1 was released in May, 2016 and includes changes from the BLM, CAL FIRE, and NPS.Fire15_1 was released in June, 2015 and includes changes from the USFS, CAL FIRE, and NPS.Fire14_1 was released in May, 2014. After release, the NPS supplied corretions for 14 wildfires and 67 prescribed burns. The corrected data was posted to FRAP's data download page as fire14_1 in late May. Fire 14_2 was released in July, 2015 to reflect that changes had been made to the original release in late May. Version 14_1 from late May is an exact copy of version 14_2 released in July. ______________________________________________________________________________The "rxburn" data layer contains perimeters from multiple agencies of various prescribed burns, with associated tabular data for responsible agency, contract number, project name, start date, and acres reported. Data provided are merged from sources of varying quality. There has been a significant amount of work to resolve duplicate prescribed fires (from different sources). This layer is in the early stages of development and does not include complete data for all agencies. Two of the attributes in this dataset, PRE_CON_CLASS and POST_CON_CLASS are based on an abstract concept called "Condition Class." There is more information about "Condition Class" in the Overview Description / Entity and Attribute Overview section. Those two attributes were not collected consitantly.
Copyright Text: Includes input perimeters from CAL FIRE, contract counties, U.S. Forest Service, Bureau of Land Management and National Park Service.
Description: *This is the May 2018 monthly release/updateThis dataset is a new and improved version of the original Spotted Owl Territories [ds97] dataset. The original dataset represented spotted owl territories as activity center observation points with thousands of additional owl observations available in a separate table but not spatially enabled. In this new dataset, the additional owl observations (both positive and negative sightings) have been spatially enabled as points and are now displayed along with the activity center points. See the attribute "TYPEOBS" for a determination of whether an observation is positive (POS), negative (NEG) or an activity center (AC). Many of the observation locations were approximated by plotting them to a grid of the Public Land Survey System (PLSS) based on PLSS references in their record descriptions. What is an activity center? "Activity Center: Spotted owls have been characterized as central-place foragers, where individuals forage over a wide area and subsequently return to a nest or roost location that is often centrally-located within the home range (Rosenberg and McKelvey 1999). Activity centers are location or point within the core use area that represent this central location. Nest sites are typically used to identify activity centers, or in cases where nests have not been identified, breeding season roost sites or areas of concentrated nighttime detections may be used to identify activity centers." U.S. Fish and Wildlife Service. 2011. Revised Recovery Plan for the Northern Spotted Owl (Strix occidentalis caurina). U.S. Fish and Wildlife Service, Portland, Oregon. xvi + 258 pp. A copy of the Revised Recovery Plan and other related materials can be found at: http://www.fws.gov/species/nsoAn additional dataset (Spotted Owl Observations Spider Diagram [ds705]) is available that shows lines representing relationships between activity centers and observations in this dataset. The spider diagram dataset is meant to accompany this observations dataset to assist with territory visualizations and dataset review efforts. This dataset combines information on the location and status of Northern Spotted Owls, California Spotted Owls in the Sierra Nevada, and California Spotted Owls in southern California. Almost all records have been gathered since the early 1970s. Some observations from early 20th century literature also are included. The vast majority of data were collected in the field by biologists and technicians mainly working for US Forest Service, Bureau of Land Management, California Department of Fish and Wildlife, consultants, National Park Service, industrial timber companies, universities conducting surveys and doing research, and the local birding community. Most observations were obtained using standard survey protocols ("Protocol for surveying proposed management activities that may impact northern spotted owls." US Fish and Wildlife Service. 2011). The protocols are available at http://www.dfg.ca.gov/wildlife/nongame/survey_monitor.htmlOTHER THINGS TO KNOW: - Sites are not dropped from the dataset due to lack of occupancy over time. - Coordinates listed in the dataset use the NAD83 datum. - Many site locations in this dataset were approximated using a grid of the Public Land Survey System (PLSS, also known as the Meridian, Township, Range, and Section, or MTRS system). The PLSS grid originated from 1:100,000-scale US Geological Survey topographic maps and also included additional protracted/extrapolated linework within Spanish land grants and other areas not covered by the PLSS process. At the time of data processing, this PLSS grid represents the most complete statewide grid available for California. However, the linework from this grid does not always exactly follow the PLSS linework used on other sources such as 1:24,000-scale US Geological Survey topographic maps, which may have been used for site reporting. New mapping and compilations of PLSS linework are occurring in many areas in California but may not be available statewide. As more improved and complete statewide PLSS data become available, it may be possible to better approximate some site locations in this dataset.
Copyright Text: Observations were compiled by the California Department of Fish and Wildlife from a variety of sources, notably including the private timber companies, US Forest Service, and researchers.
Description: Areas shown depict a circular buffer around all confirmed Spotted Owl activity centers since 2008 (CNDDB 2018), corresponding to the 1.3 mile distance outlined by the California Resource Practice Rules in which special considerations are required for any logging or resource extraction activities (CFPR 2017, Title 14, California Code of Regulations
Chapters 4, 4.5 and 10).
Description: The existing vegetation cover (EVC) data layer depicts percent canopy cover by life form, and is an important input to other LANDFIRE mapping efforts. EVC is generated separately for tree, shrub and herbaceous life forms using training data and a series of geospatial predictor layers. Plots from the Forest Inventory and Analysis (FIA) program of USDA Forest Service (http://fia.fs.fed.us/) were used as the training data for tree canopy cover mapping, with canopy cover of the plots estimated from stem-mapped tree data and calibrated with line intercept field measurements of canopy cover (Toney and others 2009). Shrub and herbaceous canopy cover training data were also derived from plot-level, ground-based visual assessments. More information regarding contributors of field plot data can be found at https://www.landfire.gov/participate_refdata_sub.php. Regression tree models were developed separately for each life form using the training data and a combination of multitemporal Landsat data, terrain data from a digital elevation model, and biophysical gradient data layers. Cubist software was used for modeling. The derived regression tree equations were then applied to the geospatial predictor data to create 30-m resolution, life form specific data layers (i.e., separate data layers are generated for tree, shrub and herbaceous vegetation cover). Each of the derived data layers (tree, shrub, herbaceous) has a potential range of 0-100 percent canopy cover. Tree, shrub and herbaceous values were binned into discrete classes (up to 10 bins at 10 percent intervals for tree, shrub and herbaceous canopy cover). The final EVC layer was evaluated and rectified through a series of QA/QC measures to ensure that the life form of the canopy cover code matched the life form of the LANDFIRE existing vegetation type (EVT) layer. EVC is used in the development of subsequent LANDFIRE data layers.LF 2014 (lf_1.4.0) used modified LF 2010 (lf_1.2.0) data as a launching point to incorporate disturbance and its severity, both managed and natural, which occurred on the landscape 2013 and 2014. Specific examples of disturbance are: fire, vegetation management, weather, and insect and disease. The final disturbance data used in LANDFIRE is the result of several efforts that include data derived in part from remotely sensed land change methods, Monitoring Trends in Burn Severity (MTBS), and the LANDFIRE Events data call. Vegetation growth was modeled where both disturbance and non-disturbance occurs.Urban, agriculture, and wetlands were refined to reflect a 2012 landscape using the National Conservation Easement Database, National Wetlands Inventory (NWI), and Common Land Unit database (CLU) data.
Description: This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 5, Central Valley. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
LOCAL_OS_TREE_DIAMETER_METHOD
(
type: esriFieldTypeString, alias: LOCAL_OS_TREE_DIAMETER_METHOD, length: 5
, Coded Values:
[QMD: Quadratic Mean Diameter]
, [BAWMD: Basal Area Weighted Mean Diameter]
, [OCE: Ocular Estimate]
)
MAP_UPDATE_CAUSE
(
type: esriFieldTypeString, alias: MAP_UPDATE_CAUSE, length: 2
, Coded Values:
[AG: Land conversion to agriculture crops or orchards]
, [BD: Downed forests due to high winds, blow down]
, [CU: Update change where cause is unknown]
, ...19 more...
)
Description: This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 5, Central Valley. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
LOCAL_OS_TREE_DIAMETER_METHOD
(
type: esriFieldTypeString, alias: LOCAL_OS_TREE_DIAMETER_METHOD, length: 5
, Coded Values:
[QMD: Quadratic Mean Diameter]
, [BAWMD: Basal Area Weighted Mean Diameter]
, [OCE: Ocular Estimate]
)
MAP_UPDATE_CAUSE
(
type: esriFieldTypeString, alias: MAP_UPDATE_CAUSE, length: 2
, Coded Values:
[AG: Land conversion to agriculture crops or orchards]
, [BD: Downed forests due to high winds, blow down]
, [CU: Update change where cause is unknown]
, ...19 more...
)
Description: This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 5, Central Valley. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
LOCAL_OS_TREE_DIAMETER_METHOD
(
type: esriFieldTypeString, alias: LOCAL_OS_TREE_DIAMETER_METHOD, length: 5
, Coded Values:
[QMD: Quadratic Mean Diameter]
, [BAWMD: Basal Area Weighted Mean Diameter]
, [OCE: Ocular Estimate]
)
MAP_UPDATE_CAUSE
(
type: esriFieldTypeString, alias: MAP_UPDATE_CAUSE, length: 2
, Coded Values:
[AG: Land conversion to agriculture crops or orchards]
, [BD: Downed forests due to high winds, blow down]
, [CU: Update change where cause is unknown]
, ...19 more...
)
Description: This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 5, Central Valley. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
LOCAL_OS_TREE_DIAMETER_METHOD
(
type: esriFieldTypeString, alias: LOCAL_OS_TREE_DIAMETER_METHOD, length: 5
, Coded Values:
[QMD: Quadratic Mean Diameter]
, [BAWMD: Basal Area Weighted Mean Diameter]
, [OCE: Ocular Estimate]
)
MAP_UPDATE_CAUSE
(
type: esriFieldTypeString, alias: MAP_UPDATE_CAUSE, length: 2
, Coded Values:
[AG: Land conversion to agriculture crops or orchards]
, [BD: Downed forests due to high winds, blow down]
, [CU: Update change where cause is unknown]
, ...19 more...
)
Description: This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 5, Central Valley. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
LOCAL_OS_TREE_DIAMETER_METHOD
(
type: esriFieldTypeString, alias: LOCAL_OS_TREE_DIAMETER_METHOD, length: 5
, Coded Values:
[QMD: Quadratic Mean Diameter]
, [BAWMD: Basal Area Weighted Mean Diameter]
, [OCE: Ocular Estimate]
)
MAP_UPDATE_CAUSE
(
type: esriFieldTypeString, alias: MAP_UPDATE_CAUSE, length: 2
, Coded Values:
[AG: Land conversion to agriculture crops or orchards]
, [BD: Downed forests due to high winds, blow down]
, [CU: Update change where cause is unknown]
, ...19 more...
)
Description: This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 5, Central Valley. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
LOCAL_OS_TREE_DIAMETER_METHOD
(
type: esriFieldTypeString, alias: LOCAL_OS_TREE_DIAMETER_METHOD, length: 5
, Coded Values:
[QMD: Quadratic Mean Diameter]
, [BAWMD: Basal Area Weighted Mean Diameter]
, [OCE: Ocular Estimate]
)
MAP_UPDATE_CAUSE
(
type: esriFieldTypeString, alias: MAP_UPDATE_CAUSE, length: 2
, Coded Values:
[AG: Land conversion to agriculture crops or orchards]
, [BD: Downed forests due to high winds, blow down]
, [CU: Update change where cause is unknown]
, ...19 more...
)
Description: This Existing Vegetation (EVeg) polygon feature class is a CALVEG (Classification and Assessment with LANDSAT of Visible Ecological Groupings) map product from a scale of 1:24,000 to 1:100,000 for CALVEG Zone 5, Central Valley. Source imagery for this layer ranges from the year 1998 to 2015. The CALVEG classification system was used for vegetation typing and crosswalked to other classification systems in this database including the California Wildlife Habitat Relationship System (CWHR).
LOCAL_OS_TREE_DIAMETER_METHOD
(
type: esriFieldTypeString, alias: LOCAL_OS_TREE_DIAMETER_METHOD, length: 5
, Coded Values:
[QMD: Quadratic Mean Diameter]
, [BAWMD: Basal Area Weighted Mean Diameter]
, [OCE: Ocular Estimate]
)
MAP_UPDATE_CAUSE
(
type: esriFieldTypeString, alias: MAP_UPDATE_CAUSE, length: 2
, Coded Values:
[AG: Land conversion to agriculture crops or orchards]
, [BD: Downed forests due to high winds, blow down]
, [CU: Update change where cause is unknown]
, ...19 more...
)
Description: Tier One High Hazard Zones are areas where assets to be protected and tree mortality directly coincide. 1-2017 Update:The Tier 1 High Hazard Zones have been updated using the most current Aerial Detection Survey (ADS) released in November, 2016________________________________________________________________________________________________8-2016 UpdateTier 1 high hazard zones (HHZ) are the areas where tree mortality directly coincides with critical infrastructure. We originally delineated Tier 1 HHZ in December of 2015 using Aerial Detection Survey data from 2012 through October of 2015. In May of 2016 the USFS flew a new flight of the Aerial Detection Survey that was limited to lower elevations of the Sierra Nevada, Easter Cascades, and the Transverse ranges. This update of Tier 1 HHZ includes the new mortality flown in May of 2016. Additionally, it includes improved layers for critical infrastructure:Utilities – utility companies from around the state contributed data to improve the location of their assets. CAL FIRE also contributed point locations for vital critical infrastructure.Recreation – the USFS contributed data to improve the location of their recreation facilities. Local Facilities – point locations for public schools, libraries, fire stations, and other local public buildings were added. Water Conveyances – in addition to utilities contributing their critical water infrastructure, we added aqueducts, flumes, canals, and penstocks. Roads – Mariposa county contributed an improved roads layer; the USFS provided USFS-designated roads for HHZ.________________________________________________________________________________________________CAL FIRE mapped Tier One High Hazard Zones by identifying assets to be protected as: communities, powerlines, roads, communication structures, and recreation facilities as well as miscellaneous other critical infrastructure. These assets to be protected were buffered. Communities were buffered by 1,000 feet and all other assets were buffered by 200 feet. Tree Mortality data was provided by the USDA Forest Service Forest Health Protection staff Aerial Detection Surveys from 2012-2015.Field review and revision is neede to refine and finalize HHZ areas. These zones will be periodically updated to relfect new mortality or infrastructure assets at risk.d
Description: January, 2017 UpdateTier 2 High Hazard Zones were updated in January of 2017 to incorporate the full 2016 Aerial Detection Survey. ___________________________________________________________________________________________________________October, 2016 UpdateTier 2 High Hazard Zones were updated in October, 2016 with the May, 2016 Aerial Detection Survey of mortality flown by Region 5 USFS and with signigicantly improved critical infrastructure. Outreach to utilities during the spring of 2016 resulted in a much improved spatial data layer of utilities' critical infrastructure, one scoring component of Tier 2 High Hazard Zones. _______________________________________________________________________________________________________________Areas with elevated tree mortality and high fire threat that are a hazard to public safety, community assets, and related infrastructure represent the primary focus of these zones. CAL FIRE mapped Tier Two High Hazard Zones through a risk assessment model that scored watersheds based on amont of risk (hazard) and the amount of asset to be protected. We used the National Hydrography Dataset Watershed Boundaries (WBD) hydrologic unit code (HUC) 12 watersheds. These are the smallest consistently delineated watersheds in California and the average around 24,000 acres.In this model, the hazards were: number of dead trees (take from the USFS Aerial Detection Survey, 2015), acres of Tier One High Hazard Zones, and fire threat -- represented in the Sierra Nevada by WHRTYPE and fire return interval departure (USFS FRID, 2014) and in other areas of the state by CAL FIRE's Firethreat layer (FRAP, 2005). The assets to be protected were: amount of Critical Infrastructure, represented by roads, communities, recreation facilities, communications); water related natural resources (represented statewide by acres of riparian and in the Sierra Nevada by acres of riparian and montane meadows); and amount of water infrastructure, represented by water conveyances, and water storage facilities. Each hazard and each asset was scored individually, and an overall composite score was achieved. The overall scores for hazard and assets were ranked and then also combined for an overall score. For more information on the datasets used and the scoring methodology, please contact kelly.larvie@fire.ca.gov. Field review and revision is needed to refine and finalize HHZ areas. These zones will be periodically updated to relfect new mortality or infrastructure assets at risk.
Description: Tier One High Hazard Zones are areas where assets to be protected and tree mortality directly coincide. 1-2017 Update:The Tier 1 High Hazard Zones have been updated using the most current Aerial Detection Survey (ADS) released in November, 2016________________________________________________________________________________________________8-2016 UpdateTier 1 high hazard zones (HHZ) are the areas where tree mortality directly coincides with critical infrastructure. We originally delineated Tier 1 HHZ in December of 2015 using Aerial Detection Survey data from 2012 through October of 2015. In May of 2016 the USFS flew a new flight of the Aerial Detection Survey that was limited to lower elevations of the Sierra Nevada, Easter Cascades, and the Transverse ranges. This update of Tier 1 HHZ includes the new mortality flown in May of 2016. Additionally, it includes improved layers for critical infrastructure:Utilities – utility companies from around the state contributed data to improve the location of their assets. CAL FIRE also contributed point locations for vital critical infrastructure.Recreation – the USFS contributed data to improve the location of their recreation facilities. Local Facilities – point locations for public schools, libraries, fire stations, and other local public buildings were added. Water Conveyances – in addition to utilities contributing their critical water infrastructure, we added aqueducts, flumes, canals, and penstocks. Roads – Mariposa county contributed an improved roads layer; the USFS provided USFS-designated roads for HHZ.________________________________________________________________________________________________CAL FIRE mapped Tier One High Hazard Zones by identifying assets to be protected as: communities, powerlines, roads, communication structures, and recreation facilities as well as miscellaneous other critical infrastructure. These assets to be protected were buffered. Communities were buffered by 1,000 feet and all other assets were buffered by 200 feet. Tree Mortality data was provided by the USDA Forest Service Forest Health Protection staff Aerial Detection Surveys from 2012-2015.Field review and revision is neede to refine and finalize HHZ areas. These zones will be periodically updated to relfect new mortality or infrastructure assets at risk.d
Description: SFPP, L.P. an operating partnership of Kinder Morgan Energy Partners (KMEP) owns and operates a petroleum products pipeline (KMEP identification; LS-11, LS-12 & LS-13) that originates in Rocklin, CA and continues through to Reno, NV. The pipeline transports refined petroleum products and is regulated by the US Department of Transportation (DOT) - Pipeline and Hazardous Materials Safety Administration (PHMSA) regulations, Title 49 Code of Federal Regulation (CFR) Part 195; The Office of California State Fire Marshal - Pipeline Safety Division and part of KMEP’s Integrity Maintenance Program (IMP).This data is considered incomplete, and will be updated as newer/additional information becomes available.
Copyright Text: USDA Forest Service - Tahoe National Forest
GIS data obtained from KMEP - January 4th, 2010.