nitiestodevelopa30-meterspatialdatabase-資料下載頁
2025-10-15 17:24本頁面
【導(dǎo)讀】FIA?sTechnicalVision. “FIA(should). implement…remote. efficientmanner;…”。FIAshould…h(huán)avea. andnationallevels.'?USGSbuildsa. UUSGS,EPA,NOAA,BLM,NASA,NPS,USGSEROSData. 2waterclasses. 3barrenclasses. 3urbanclasses. 1otherwetlandclass. ForestedUpland. WoodyWetlands. Non-nativeWoody. Shrubland. Grasslands. andprograms…”。FIAshould“(i)mprove…efficiency…through. “TheSecretaryshall…strategicplan…that. detail…theprocess. foremploying…remotesensing…“Integrat(e)…FIA…and. consortium.ofremotesensingare…h(huán)inderedby…lackofafar-
【正文】 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 stands, large trees – Closed stands, small trees – Closed stands, large trees ? 70% accuracy 44 GIS themes in 30m database Model predictions of fuel loading ? Climatic regime ? % tree/shrub cover ? Detailed forest type ? Structural stage (open v. closed。 large v. small trees) ? Potential Natural Vegetation ? 30m Digital Elevation Model 45 GIS themes in 30m database Valueadded products from other partner programs using same database ? GIS analyses of risk from insects and diseases ? GAP wildlife habitat mapping (USGS BRD) ? % imperviousness surfaces (EPA) 46 Caveat Intended for large assessment areas ? National (., fuel treatment priorities) ? Regional (., multiple States) ? Largeareas –River basins –Ecological Provinces 47 Caveat ? National 30m spatial database is a starting point for priority setting among smaller geographical areas ? Local datasets are usually more accurate for local analyses 48 Conclusion ? FIA mission “Make and keep current a prehensive inventory and analysis of the present and prospective conditions of and requirements for the renewable resources of the forest and rangelands of the United States. Partnerships among agencies and USFS programs for remote sensing and geospatial databases provide costeffective support to the FIA mission and users of FIA data. 49 Poster Session ? A parison of stratification effectiveness between the National Land Cover Data set (NLCD 1992) and photointerpretation in western Oregon by Paul Dunham, Dale Weyermann and David Azuma (PNWFIA) ? Synergistic use of FIA plot data and Landsat 7 ETM+ images for large area forest mapping by Chengquan Huang (USGS EROS Data Center) and Andrew Lister (NEFIA) 50
教學(xué)課件相關(guān)推薦
鄂ICP備17016276號(hào)-1