Land Use/Land Cover Data Project Planning Team – March 9-10.

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Presentation transcript:

Land Use/Land Cover Data Project Planning Team – March 9-10

Land Use/Land Cover Data Issues Dated information – some as old as the mid-80s Different data needs for various applications Inconsistent quality and resolution used in various emissions estimation tools used for regional haze planning –Fire –Dust –Biogenics –Fugitive ammonia –Windblown dust

Applications of Land Use/Land Cover Data for Planning Purposes Emissions Tracking and Management –Dust –Fire –Context for “painting the Reasonable Progress picture” –Emissions data resolution Area vs. Point for regulatory purposes –Near Class I areas Emissions Characterization –Dovetail into Technical Data Portal project Technical Uses –Emissions modeling Windblown dust Fugitive Ammonia Biogenics

Deliverables - Land Use/Land Cover Data Project April - catalogue available data, prepare complete listing of available data for WRAP region May - evaluate data for use in emissions estimation technical tools, recommend changes, annotate catalogue above June - process data into tools June - final website report on project

GIS Data Evaluation Spatial Resolution –Need to balance increased resolution with processing requirements/resources –Depends on expected uses of data sets –Note data in Figure 4 is derived from Figure 3 data by re-sampling to 2-km resolution – Loss in spatial detail/resolution Temporal Changes –Landuse changes over time –Relevance for urban areas; desert/barren lands; Ag lands; coastal areas –Note yellow areas in NE regions and at S end of Bay. Between 1986 and 1993 these are increased areas of barren lands – Possibly due to increased construction activity (urban sprawl) Attribute classification –Data classifications for specific uses –More detailed categories (wetlands, urban lands) Trade-offs between desired resolution/attributes and available resources/data uses

Figure LU Data

Figure LU Data

Figure LU Data (NLCD)

Figure LU Data (NLCD) As gridded for WRAP Analyses