nitiestodevelopa30-meterspatialdatabase(存儲(chǔ)版)
【正文】 ay to produce (the remote sensing) product.” The “process must provide … linkages to other spatial data sets, such as censusdemographics or digital elevation models.” ?“(D)ata from various … programs can be bined more effectively to answer a much broader range of questions than any agency could tackle alone.” 19 FIA joins MRLC 2020 Consortium ? FIA contributes $200,000 in a federal partnership to build a Landsat 7 imageset for the entire USA. 1992 1997 1998 1999 2020 1995 20 FIA joins MRLC 2020 Consortium ? Three seasons of Landsat 7 imagery 20202020 – Early season (green up) – Peak greenness (summer) – Late season (brown up) 1992 1997 1998 1999 2020 1995 21 FIA joins MRLC 2020 Consortium ? Terrain corrected, one pixel spatial accuracy ? Radiometric calibration for seamless data across scenes 1992 1997 1998 1999 2020 1995 22 FIA joins MRLC 2020 Consortium ? $45 per CD, including 3 dates of calibrated Landsat 7 data and Digital Elevation Model (DEM) used for terrain correction 1992 1997 1998 1999 2020 1995 23 National Land Cover Data (NLCD 2020) ? FIA considers working with USGS EROS Data Center to replace NLCD 1992 forest cover map of USA using MRLC 2020 new Landsat 7 ETM+ data ? Annualized FIA data more valuable as training data for classification of Landsat data 1992 1997 1998 1999 2020 1995 24 FIA partnership with USGS ? FIA and USGS conduct pilot studies on highly automated digital classification of forest types with MRLC 2020 database and FIA plot data. 1992 1997 1998 1999 2020 2020 1995 25 MRLC Input Database ?If bright 30 amp。 green 45 ?amp。 aspect = north amp。 position 3 amp。? 4 MRLC 1992 Data Buy ? USGS builds a consortium of federal programs to acquire standardized Landsat5 imagery for the USA 1992 MMultiResolution Land Characterization (MRLC) consortium ?UUSGS, EPA, NOAA, BLM, NASA, NPS, USDA, Forest Service 5 National Land Cover Data 1992 ? USGS EROS Data Center begins first successful effort to map the forest and land cover of the USA with Landsat satellite data from MRLC 1992 1992 2020 1995 6 National Land Cover Data 1992 ? 14 categories for other types of land cover ? 2 water classes ? 3 barren classes ? 3 urban classes ? 5 agricultural classes ? 1 other wetland class ? Forested Upland – Deciduous Forest – Evergreen Forest – Mixed Forest ? Woody Wetlands ? Nonnative Woody ? Shrubland ? Grasslands 1992 2020 1995 7 MRLC v. NLCD ? MRLC: MultiResolution Land Characterization – Consortium to buy Landsat data and postprocess into standardized nat
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