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Layer: LEMMA Biomass Density (Native Forest Only) (ID:9)

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Name: LEMMA Biomass Density (Native Forest Only)

Display Field: OID_COPY

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <div style="text-align:Left;"><p style="margin:0 0 11 0;"><span><font size="3">This dataset represents a vegetation map stand’s aboveground live biomass in tons/hectare sequestered in forest vegetation. </font></span></p><p style="margin:0 0 11 0;"><font size="3"><span> The data are derived from the work of the </span>Landscape Ecology Modeling, Mapping &amp; Analysis (LEMMA) group, a research team led by US Forest Service (USFS) Pacific Northwest Research Station and Oregon State University and supported by collaboration with USFS Rocky Mountain Research Station, USFS Pacific Northwest Region, and the USFS Forest Inventory and Analysis Program (FIA).<span style="background-color:rgb(255, 255, 255);"> </span></font></p><p style="margin:0 0 11 0;"><font size="3">To map the biomass of aboveground live trees, the LEMMA group utilized gradient nearest neighbor (GNN) analysis based on 30-meter Landsat imagery supplemented by training data for GNN derived from FIA data (LEMMA, n.d.a., n.d.b.). Mean value aboveground live biomass was then integrated into native forest stands in the 2018 Fine Scale Vegetation Map using the zonal statistics (mean) function in ArcGIS. Each native forest polygon in the 2018 Fine Scale Vegetation Map was assigned an aboveground live biomass tons/hectare attribution. Note that aboveground forest carbon is calculated from the biomass value by using the biomass to carbon conversion factor of 0.47.</font></p><p style="margin:0 0 11 0;"><span><font size="3">LEMMA biomass is mapped at the regional scale and is derived from moderate resolution satellite imagery. As such, it provides an approximation of biomass density that is not field checked or refined at the local scale. High resolution datasets such as lidar or high-resolution imagery are not used to create LEMMA data products. Training data is limited to FIA plot data.</font></span></p><p style="margin:0 0 11 0;"><span style="font-size:medium; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif;">See Chapter 6 of the </span><a href="https://www.onetam.org/sites/default/files/pdfs/marin_regional_forest_health_strategy_2023.pdf" style="font-size:medium; color:rgb(0, 97, 155); text-decoration-line:none; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif;">Marin Regional Forest Health Strategy</a><span style="font-size:medium; font-family:&quot;Avenir Next W01&quot;, &quot;Avenir Next W00&quot;, &quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif;"> (Page 279 - Aboveground Live Biomass and Carbon) for more information.</span></p><p style="margin:0 0 11 0;"><font size="3"><span><span>For more information on the LEMMA biomass data, go to: </span></span><a href="https://lemma.forestry.oregonstate.edu/projects/ca-biomass">https://lemma.forestry.oregonstate.edu/projects/ca-biomass</a></font></p><div><div style="font-size:12pt;"><p><span></span></p></div></div></div>

Copyright Text: Golden Gate National Parks Conservancy, OneTam, Tukman Geospatial

Min. Scale: 1155582

Max. Scale: 1128

Default Visibility: false

Max Record Count: 2000

Supported query Formats: JSON, geoJSON, PBF

Use Standardized Queries: True

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HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

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Last Edit Date: 12/12/2023 8:00:29 PM

Schema Last Edit Date: 10/12/2023 10:18:42 PM

Data Last Edit Date: 10/12/2023 10:18:42 PM

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