{ "culture": "en-US", "name": "", "guid": "", "catalogPath": "", "snippet": "The data layers included in this Northern California Regional Resource Kit were assembled/developed by a partnership that includes the Pacific Southwest Research Station of the U.S. Forest Service, the Fire and Resource Assessment Program (FRAP) of CALFIRE, the Climate and Wildfire Institute, and faculty from the University of California Berkeley and Irvine. This science team is working together at the behest of the California Wildfire and Forest Resilience Task Force. As we continue to develop geospatial data for landscape assessment and planning throughout the state, this partnership has now taken the lead in the creation of the Regional Resource Kits for the four regions of California.\n\nThe RRK has adopted the Framework for Resilience to provide a structure for assessing landscape conditions, setting objectives, designing projects, and measuring progress towards social-ecological resilience. There are ten pillars that represent the desired outcomes of landscape resilience. Each of the pillars provides a series of elements and under the elements, metrics (the data layers) for assessing landscape conditions and verifying that actions meet resilience objectives.\n\nThe metrics are organized by the ten pillars of resilience in the Framework for Resilience. The Metrics describe the characteristics of the elements (key characteristics) of each pillar in quantitative or, in a few cases, qualitative terms. Metrics are used to assess, plan for, measure, and monitor progress toward desired outcomes and greater resilience. Metrics are selected to be informative, meaningful, and actionable to meet the needs of management.\n\nThe metrics are also divided into three \u201ctiers.\u201d Among all these metrics, some are created and relevant statewide. Other metrics are more suited to conditions within a given region. The \u201cTiers\u201d for metrics included in each RRK:\n\nTier 1 \u2013 metrics that are a single, consistent data layer, developed statewide; they can also be clipped to the boundary of the region so values within that region are the only...", "description": "- Metric Name: American Indian Land Area Representation (LAR)\n\n- Tier: 2\n\n- Data Vintage: 09/2023\n\n- Unit Of Measure: Categorical\n\n- Metric Definition and Relevance: These data, developed for the Bureau of Indian Affairs, Department of Interior, provide the details for tracts, parcels, and other relevant BIA lands. The data depict locations of Tribally controlled land mapped to the parcel level for all Land Area Codes (LAC) held in trust or restricted-fee by the United States. The Division of Land Titles and Records (LTR) compiled the data to support the Bureau of Indian Affairs Tribal Reservations. The source information for the parcel records are from the Trust Asset and Accounting Management System (TAAMS), which is the system of record. The term \u201cIndian land\u201d means: (A) Any land located within the boundaries of an Indian reservation, pueblo, or rancheria; (B) Any land not located within the boundaries of an Indian reservation, pueblo, or rancheria, the title to which is help: (i) In trust by the United States for the benefit of an Indian tribe or an individual Indian; (ii) By an Indian tribe or an individual Indian, subject to restriction against alienation under laws of the United States Definition: Indian land from 25 USC ยง 3501(2) | LII / Legal Information Institute.\n\n- Creation Method: The purpose of the American Indian (and Alaska Native) Land Area Representation (AIAN-LAR) Geographic Information System (GIS) dataset is to depict the external extent of federal Indian reservations and the external extent of associated land held in \u201ctrust\u201d by the United States, \u201crestricted fee\u201d or \u201cmixed ownership\u201d status for federally recognized tribes and individual Indians. This dataset includes other land area types such as Public Domain Allotments, Dependent Indian Communities and Homesteads., p, p, p, p, p, p", "summary": "The data layers included in this Northern California Regional Resource Kit were assembled/developed by a partnership that includes the Pacific Southwest Research Station of the U.S. Forest Service, the Fire and Resource Assessment Program (FRAP) of CALFIRE, the Climate and Wildfire Institute, and faculty from the University of California Berkeley and Irvine. This science team is working together at the behest of the California Wildfire and Forest Resilience Task Force. As we continue to develop geospatial data for landscape assessment and planning throughout the state, this partnership has now taken the lead in the creation of the Regional Resource Kits for the four regions of California.\n\nThe RRK has adopted the Framework for Resilience to provide a structure for assessing landscape conditions, setting objectives, designing projects, and measuring progress towards social-ecological resilience. There are ten pillars that represent the desired outcomes of landscape resilience. Each of the pillars provides a series of elements and under the elements, metrics (the data layers) for assessing landscape conditions and verifying that actions meet resilience objectives.\n\nThe metrics are organized by the ten pillars of resilience in the Framework for Resilience. The Metrics describe the characteristics of the elements (key characteristics) of each pillar in quantitative or, in a few cases, qualitative terms. Metrics are used to assess, plan for, measure, and monitor progress toward desired outcomes and greater resilience. Metrics are selected to be informative, meaningful, and actionable to meet the needs of management.\n\nThe metrics are also divided into three \u201ctiers.\u201d Among all these metrics, some are created and relevant statewide. Other metrics are more suited to conditions within a given region. The \u201cTiers\u201d for metrics included in each RRK:\n\nTier 1 \u2013 metrics that are a single, consistent data layer, developed statewide; they can also be clipped to the boundary of the region so values within that region are the only...", "title": "BIA_AIAN_LAR_202309.tif", "tags": [ "environment", "geoscientific Information", "planning Cadastre", "land management", "landscape restoration" ], "type": "", "typeKeywords": [], "thumbnail": "", "url": "", "minScale": 150000000, "maxScale": 5000, "spatialReference": "", "accessInformation": "U.S. Department of Interior, Bureau of Indian Affairs Developed by the U.S.\nDepartment of the Interior", "licenseInfo": "

Appropriate use includes regional to statewide assessments of vegetation cover, land cover, or land use change trends, total extent of vegetation cover, land cover, or land use change, and aggregated summaries of vegetation cover, land cover, or land use change. Further use includes applying these data to assess management opportunities for treatments to restore landscape resiliency. The authors make no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness, or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly. For all data layers you are free to share, copy, and redistribute the material in any medium or format AND adapt, remix, transform, and build upon the material for any purpose, even commercially under the following terms:<\/SPAN><\/P>

Attribution \u2014 You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. <\/SPAN><\/P>

ShareAlike \u2014 If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original. <\/SPAN><\/P>

No commercial use \u2013 the user is responsible for acknowledging those data layers within this RRK (as determined by the source of the data) that are not permitted for commercial use. <\/SPAN><\/P>

No additional restrictions \u2014 You may not apply legal terms or technological measures that legally restrict others from doing anything this license permits.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "portalUrl": "" }