【正文】
999 2020 2020 1995 32 LANDFIRE Database ? Map and prioritize areas for fuel reduction efforts ? Determine potential impacts of these fire treatments on wildlife, fish and riparian areas. 1992 1997 1998 1999 2020 2020 1995 33 LANDFIRE Database Develop geospatial database at the 30m scale for the entire USA ? Vegetation type ? Forest structuralstage ? Stand density ? Fire history ? Fuel loadings ? Wildlife habitats 1992 1997 1998 1999 2020 2020 1995 34 LANDFIRE Database ? Proposal to develop 30m database with MRLC and FIA partnership as its foundation ? LANDFIRE could fund considerably more detail on forest conditions in 30m geospatial database for the USA 1992 1997 1998 1999 2020 2020 1995 35 NLCD 2020 bees a 30m database for USA ? Landsat imagery and derived indices ? Land cover and forest type classification ? Digital Elevation Models ? Coarsescale geospatial data – Ecoregions – Climate – Soils (STATSGO) 36 GIS themes in 30m database Map more detailed types (1520) of forest cover using ? NLCD data base ? Landforms ? FIA training data(?) 37 GIS themes in 30m database Coarsescale (., 1km) information to geospatial database ? Bailey?s Ecoregion Subsections ? Climate (DAYMET) daily means – Precipitation – Minimum and maximum surface air temperature – Surface air humidity – Incident shortwave radiation ? Land ownership ? Bureau of the Census population and housing density 38 GIS themes in 30m database ? Soils (STATSGO) – Available water capacity – Soil anic carbon – Soil suitability for agriculture – Soil Texture – Soil Depth 39 GIS themes in 30m database Landuse ? Probable urban areas – Buffered road work – Nighttime Lights of the World ? Protected Areas Database ? Urban/wildland interface zones 40 GIS themes in 30m database Biophysical Settings Model ? 30m version of Potential Natural Vegetation – 30m Digital Elevation Model – Soil depth and texture (STATSGO) ? Better identify areas with similar – Fire frequencies – Climatic regimes – Geological and topographical characteristics 41 GIS themes in 30m database Historical Natural Fire Regimes ? GIS model predicting – Fire frequency – Fire severity ? Inputs – Digital Elevation Model – Biophysical Settings 42 GIS themes in 30m database Subdivide general forest cover types into additional 3050 detailed forest types ? Separate spectrally similar forest types using Biophysical Settings model (PNV) ? 65% accuracy 43 GIS themes in 30m database ? Remotely sensed estimates of tree/shrub cover ? Structural stages – Open stands, small trees – Open st