The SMA implementation is comprised of one feature dataset, with several polygon feature classes, rather than a single feature class. SurfaceManagementAgency: The Surface Management Agency (SMA) Geographic Information System (GIS) dataset depicts Federal land for the United States and classifies this land by its active Federal surface managing agency. A Federal SMA agency refers to a Federal agency with administrative jurisdiction over the surface of Federal lands. Jurisdiction over the land is defined when the land is either: Withdrawn by some administrative or legislative action, or Acquired or Exchanged by a Federal Agency. The GIS data contained in this dataset represents the polygon features that show the boundaries for Surface Management Agency and the surface extent of each Federal agency's surface administrative jurisdiction. SMA data depicts current withdrawn areas for a particular agency and (when appropriate) includes land that was acquired or exchanged and is located outside of a withdrawal area for that agency. The SMA data do not illustrate land status ownership pattern boundaries or contain land ownership attribute details. This layer is also updated whenever BLM is notified that Lands have been acquired by other Federal Agencies. For additional information regarding an acquisition search the Bureau's LR2000 system: The LND_SurfaceEstate data is edited and maintained in a single polygon feature class. Whenever possible, BLM lands are constructed from the Public Land Survey System (PLSS), also available to the public (PublicLandSurvey.gdb). Alignment of BLM data with the PLSS is a continual process, as the accuracy and density of PLSS data continues to improve and develop. Issues of misalignment with the PLSS are more common with non-BLM management areas. These discrepancies are being addressed at the BLM California State office based on U.S. Department of Interior priorities throughout the State of California

This polygon feature class represents the spatial extent of historical BLM Administrative Unit Boundaries (at the State, District, and Field Office levels).This state dataset may have published a dataset that is more current than the National dataset; there may be geometry variations between the state and national dataset which may have different results. The national dataset is updated following the data standard schedule

This polygon feature class represents the spatial extent and boundaries for anticipated, in-progress, existing and historic BLM Land Use Planning Area (LUPA) polygons. Land Use Planning Areas are geographic areas within which the BLM will make decisions during a land use planning effort. Land Use Planning Area Boundaries shift from an "in-progress" status and become Existing Land Use Planning Areas when the Land Use Plan has been approved and a Record of Decision Date has been established. At this point, these LUPAs are officially "existing" and the previous plan is moved to a "historic" status.

This polyline feature class represents the arc features that will define the boundaries of BLM Land Use Planning Area (LUPA) anticipated, in-progress, existing and historic polygons. Their attributes serve to store feature level metadata information for the polygon boundaries, as well as document the origin and characteristics of each arc.

These are the cadastral reference features that provide the basis and framework for parcel mapping and for other mapping. This feature data set contains PLSS and Other Survey System data. The other survey systems include subdivision plats and those types of survey reference systems. This feature data set also include feature classes to support the special conditions in Ohio. This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.

This polygon feature class represents the spatial extent and boundaries of the BLM National Landscape Conservation System (NLCS) Wilderness Study Areas. This state dataset may have published a dataset that is more current than the National dataset; there may be geometry variations between the state and national dataset which may have different results. The national dataset is updated following the data standard schedule.

Mobile Map Packages (MMPK’s) can be used in the ESRI Field Maps app (no login required), either by direct download in the Field Maps app or by sideloading from your PC. They can also be used in desktop applications that support MMPK’s such as ArcGIS Pro, and ArcGIS Navigator. MMPK’s will expire quarterly and have a warning for the user at that time but will still function afterwards. They are updated quarterly to ensure you have the most up to date data possible. These mobile map packages include the following national datasets along with others. BLM Administrative Unit Boundaries & Points BLM Public Land Survey System (PLSS) TNM Place Names (Geographic Names) BLM National Grazing Allotments BLM Trails (GTLF) BLM Recreation Point Features (RECS) BLM Recreation Site Boundaries BLM National Conservation Lands BLM National Contours (TNM Derived) BLM Surface Management Agency ESRI Navigation Basemap Vector Tile Package (Modified) Last updated 20250929. Contact BLM_Mobile_Apps@blm.gov with any questions, issues or suggestions.

In support of new permitting workflows associated with anticipated WellSTAR needs, the CalGEM GIS unit extended the existing BLM PLSS Township & Range grid to cover offshore areas with the 3-mile limit of California jurisdiction. The PLSS grid as currently used by CalGEM is a composite of a BLM download (the majority of the data), additions by the DPR, and polygons created by CalGEM to fill in missing areas (the Ranchos, and Offshore areas within the 3-mile limit of California jurisdiction).CalGEM is the Geologic Energy Management Division of the California Department of Conservation, formerly the Division of Oil, Gas, and Geothermal Resources (as of January 1, 2020).Update Frequency: As Needed

Types of recreation decisions include Special Recreation Management Areas (SRMA) and Extensive Recreation Management Areas (ERMA). There are also sub-designations of open, closed, or limited for the OHV areas. The name of each area along with what field office it is managed by is also in the attribute table. The Comments field contains the attributes 'High', 'Transition', and 'Remote'. Recreation opportunities for SRMAs are organized into three major categories: High use areas: opportunities for high levels of social interaction (high levels of use with people in close proximity). Transition areas: opportunities for moderate levels of social interaction (moderate levels of use with people in close to moderate proximity). Remote areas: opportunities for low levels of social interaction, with a focus on appreciation for and a sense of solitude or remoteness.

This polygon feature class represents the spatial extent and boundaries for BLM Grazing Allotments.This state dataset may have published a dataset that is more current than the National dataset; there may be geometry variations between the state and national dataset which may have different results.The national dataset is updated following the data standard schedule.

Downloaded on 10/25/2023 from: https://databasin.org/datasets/1cb6eabad6bf48b5b8e24f45b33ff028/BLM LUPA General Public LandsGeneral Public Lands ("Unallocated Lands" in the Proposed LUPA). Designation on BLM-administered lands that do not have a specific land allocation or designation. These areas are available to renewable energy applications but are not subject to permit review streamlining or other incentives, and thus would be subject to site-specific plan amendment for such development. The Approved LUPA includes CMAs that apply to activities in General Public Lands.Data Provided By:BLM, ASPEN, DUDEK, CECContent date: September 2016Citation:September 2016. BLM LUPA Record of Decision for the Desert Renewable Energy Conservation Plan and CDCA Amendment.Contact Organization:US Bureau of Land Management, California Office.Contact Person(s):not specifiedUse Constraints:This work is licensed under a Creative Commons Attribution 3.0 License.

These are the cadastral reference features that provide the basis and framework for parcel mapping and for other mapping. This feature data set contains PLSS and Other Survey System data. The other survey systems include subdivision plats and those types of survey reference systems. This feature data set also include feature classes to support the special conditions in Ohio. This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.

This Land Use Plan Table contains attributes about anticipated, in-progress, existing and historical land use plans. This is the parent table of the feature set and all related polygons and reports generated from this feature set will derive their core attribute information from this table.

This ownership dataset utilizes a methodology that results in a federal ownership extent that matches the Federal Responsibility Areas (FRA) footprint from CAL FIRE's State Responsibility Areas for Fire Protection (SRA) data. FRA lands are snapped to county parcel data, thus federal ownership areas will also be snapped. Since SRA Fees were first implemented in 2011, CAL FIRE has devoted significant resources to improve the quality of SRA data. This includes comparing SRA data to data from other federal, state, and local agencies, an annual comparison to county assessor roll files, and a formal SRA review process that includes input from CAL FIRE Units. As a result, FRA lands provide a solid basis as the footprint for federal lands in California (except in the southeastern desert area). The methodology for federal lands involves:

These are the cadastral reference features that provide the basis and framework for parcel mapping and for other mapping. This feature data set contains PLSS and Other Survey System data. The other survey systems include subdivision plats and those types of survey reference systems. This feature data set also include feature classes to support the special conditions in Ohio. This data set represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific "production" or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys) PLSS Special surveys (non rectangular components of the PLSS) Meandered Water, Corners and Conflicted Areas (known areas of gaps or overlaps between Townships or state boundaries). The Entity-Attribute section of this metadata describes these components in greater detail.

The Bureau of Land Management (BLM) has prepared this Record of Decision (ROD) approving the Land Use Plan Amendment (LUPA) for the California Desert Conservation Area (CDCA) Plan and Bishop and Bakersfield Resource Management Plans (RMPs). The BLM also explains in this ROD the identification of the California Desert National Conservation Lands as discussed in the attached LUPA. The LUPA was prepared as part of the Desert Renewable Energy Conservation Plan (DRECP). The DRECP has been developed as an interagency plan by the BLM, the U.S. Fish and Wildlife Service (USFWS), the California Energy Commission (CEC), and the California Department of Fish and Wildlife (CDFW) (collectively “REAT Agencies”; Renewable Energy Action Team [REAT]) to (1) advance federal and state natural resource conservation goals and other federal land management goals; (2) meet the requirements of the federal Endangered Species Act (ESA), California Endangered Species Act (CESA), Natural Community Conservation Planning Act (NCCPA), and Federal Land Policy and Management Act (FLPMA); and (3) facilitate the timely and streamlined permitting of renewable energy projects, all in the Mojave and Colorado/Sonoran desert regions of Southern California. The complete ROD can be found on ePlanning at https://eplanning.blm.gov/public_projects/lup/66459/133460/163124/DRECP_BLM_LUPA_ROD.pdf

CDFW BIOS GIS Dataset, Contact: California State Office Mapping Sciences, Description: This dataset describes the geographic boundaries of the ACEC within the BLM managed public lands in California. The designated ACECs are "areas within the public lands where special management attention is required to protect and prevent irreparable damage to important historic, cultural, or scenic values, fish and wildlife resources or other natural systems of processes, or to protect life and safety from natural hazards."

Data in this file were produced by Science Applications, Inc., prime contractor on the Bureau of Land Management/Outer Continental Shelf - Southern California Studies (BLM/OCS). Data consist of six data files (benthic sediment characteristics, benthic sediment hydrocarbons, intertidal sediment hydrocarbons, intertidal sediment trace metals, benthic sediment trace metals, and intertidal sediment characteristics). Data are derived from 801 grab and box core samples from the sea floor offshore Southern California. Original documentation have been scanned as images to a .PDF document. The data were received on August 19, 1977. Some documentation has been transcribed to an ASCII readme file. Additional data codes and documentation are in poor, extremely hard to read condition. There are known problems in these data files, including truncation of records past the 80th column in the first file (Benthic Sediment Characteristics). Other problems exist in device codes and analyses that were unable to be resolved by multiple exchanges with the contributors. Additional problems may exist, including deviations from the specified formats.

This Land Use Plan Evaluation Table contains attributes about the evaluation of land use plan which is required five years after the record of decision date.

The USGS, in cooperation with the U.S. Bureau of Land Management (BLM), created a series of geospatial products of the Scotts Creek Watershed in Lake County, California, using National Agriculture Imagery Program (NAIP) imagery from 2018, 2020 and 2022. The imagery was downloaded from United States Department of Agriculture (USDA) - Natural Resources Conservation Service (NRCS) Geospatial Data Gateway (https://datagateway.nrcs.usda.gov). The NAIP imagery from 2018, 2020 and 2022 was classified using Random Forest Modeling to produce land cover maps with three main classifications – bare, vegetation, and shadows. A total of 600 independent reference points were used in the accuracy assessment. The overall accuracy for all classes for each dataset is 98%. See attached ScottsCreek_20XX_AccuracyAssessment.csv files (contained within each LandCoverMap_associated_files_20XX.zip for each year respectively) for details. A preview image of the land cover map for 2018 is attached to this ...