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Global Surface Emissivity Spectral Atlas (GSESA) V01
The Global Surface Emissivity Spectral Atlas (GSESA) database contains global, monthly climatology infrared emissivity functional Empirical Orthogonal Function (EOF) scores in 0.25 x 0.25 latitude-longitude resolution. An eigenvector file and a reader file allow customers to produce emissivity spectra. The emissivity functional EOF scores were developed using the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A, METOP-B, and METOP-C satellites for the period 2007-07-01 to 2025-01-31. An inversion scheme, dealing with cloudy as well as cloud-free radiances observed with ultraspectral infrared (IR) sounders, was developed to simultaneously retrieve atmospheric thermodynamic and surface or cloud microphysical parameters. This inversion scheme was applied to the IASI instrument. Rapidly produced surface spectral emissivity (SSE) is initially evaluated through quality control checks on the retrievals of other impacted surface and atmospheric parameters. The GSESA data are provided in binary format, with sample reader files that can be used in a Fortan IDE to read a functional emissivity EOF compressed file (e.g., MFEMI_MONTH01_A_V5P.bin) and its EOF eigenvector file (IASI_B_EV_FUNC_GLOBAL_V4.bin) to produce spectral emissivity at a certain location (latitude and longitude). A sample reader file can be used in a Matlab IDE is also provided. These data were created with funding from the NASA Internal Scientist Funding Model for the National Airborne Sounder Testbed-Interferometer (NAST-I).
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Global Land Survey 2005 Islands (EO1)
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Global Land Survey 2005 images were acquired from 2003 to 2008 by Landsat 7 ETM+, EO1 ALI, and Landsat 5 Thematic Mapper (TM). The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. Each of these global datasets was created from the primary Landsat sensor in use at the time: the Multispectral Scanner (MSS) in the 1970s, the Thematic Mapper (TM) in 1990, the Enhanced Thematic Mapper Plus (ETM+) in 2000, and a combination of TM and ETM+, as well as EO-1 ALI data, in 2005.
EO-1 (Earth Observing-1) Advanced Land Imager (ALI) Instrument Level 1R, Level 1Gs, Level 1Gst Data
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Advanced Land Imager (ALI) provides image data from ten spectral bands (band designations). The instrument operates in a pushbroom fashion, with a spatial resolution of 30 meters for the multispectral bands and 10 meters for the panchromatic band. The standard scene width is 37 kilometers. Standard scene length is 42 kilometers, with an optional increased scene length of 185 kilometers (additional information). For Advanced Land Imager (ALI) data, the following levels of correction are available: Level 1R radiometrically corrected with no geometric correction applied. The image data are provided in 16-bit radiance values. The data are available in Hierarchical Data Format (HDF) and are distributed on CD-ROM, DVD, and File Transfer Protocol (FTP). Level 1Gs is geometrically corrected and will be provided as a single "stitched" file. The image data are provided in 16-bit radiance values. The data are available in Hierarchical Data Format (HDF) or Geographic Tagged Image-File Format (GeoTIFF) and are distributed on DVD and File Transfer Protocol (FTP). Level 1Gst is terrain corrected and will be provided as a single "stitched" file. The image data are provided in 16-bit radiance values. The data are available in Hierarchical Data Format (HDF) or Geographic Tagged Image-File Format (GeoTIFF) and are distributed on DVD and File Transfer Protocol (FTP). [Source: USGS/EDC Homepage]
VIIRS/JPSS1 Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid Day V002
공공데이터포털
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Day Version 2 product (VJ121A1D) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily [VJ121](https://doi.org/10.5067/VIIRS/VJ121.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VJ121A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The daytime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product.The VJ121A1D product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product ([MOD21A1D](https://doi.org/10.5067/MODIS/MOD21A1D.061)) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).The VJ121A1D product contains seven Science Datasets (SDS): LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VJ121A1D granule.Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS) and the User Guide.Improvements/Changes from Previous Version* Improved calibration algorithm and coefficients for entire NOAA-20 mission.* Improved geolocation accuracy and applied updates to fix outliers around maneuver periods.* Corrected the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid- to high-latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VNP13 Vegetation Indices and VNP43 Bidirectional Reflectance Distribution Function (BRDF)/Albedo.* Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data. * Replaced the land/water mask input product with the eight-class land/water mask from the VNP03 geolocation product that better aligns with MODIS.* Replaced MERRA2 inputs with GEOS5.* Included inland water body pixels to allow for LST retrieval over these areas.* Introduced daily, 8-day, and monthly LST CMG products.* More details can be found in this [VIIRS Land V2 Changes document](https://landweb.modaps.eosdis.nasa.gov/data/userguide/VIIRS_Land_C2_Changes_09152022.pdf).
Global Land Survey 2005
공공데이터포털
Global Land Survey 2005 images were acquired from 2003 - 2008 by Landsat 7 ETM+, Landsat 5 Thematic Mapper (TM) and EO-1 ALI. The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. Each of these global datasets was created from the primary Landsat sensor in use at the time: the Multispectral Scanner (MSS) in the 1970s, the Thematic Mapper (TM) in 1990, the Enhanced Thematic Mapper Plus (ETM+) in 2000, and a combination of TM and ETM+, as well as EO-1 ALI data, in 2005.
ASTER Global Emissivity Dataset, Monthly, 0.05 deg, HDF5 V041
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Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Global Emissivity Dataset (GED) is a collection of monthly files (see known issues for gaps) for each year of global emissivity. The ASTER GED data products are generated for 2000 through 2015 using the ASTER Temperature Emissivity Separation (TES) algorithm atmospheric correction method. This algorithm method uses Moderate Resolution Imaging Spectroradiometer (MODIS) Atmospheric Profiles product (MOD07) (https://modis-atmos.gsfc.nasa.gov/MOD07_L2/index.html) and the MODerate spectral resolution TRANsmittance (MODTRAN) 5.2 radiative transfer model along with the snow cover data from the standard monthly MODIS/Terra snow cover monthly global 0.05 degree product (MOD10CM) (https://doi.org/10.5067/MODIS/MOD10CM.006), and vegetation information from the MODIS monthly gridded NDVI product (MOD13C2) (https://doi.org/10.5067/MODIS/MOD13C2.006). ASTER GED Monthly V041 data products are offered in Hierarchical Data Format 5 (HDF5). The National Aeronautics and Space Administration’s (NASA) Jet Propulsion Laboratory (JPL), California Institute of Technology, developed the ASTER GED product.
VIIRS/JPSS1 Land Surface Temperature/Emissivity Daily L3 Global 1km SIN Grid Day V002
공공데이터포털
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Day Version 2 product (VJ121A1D) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VJ121) (https://doi.org/10.5067/VIIRS/VJ121.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VJ121A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The daytime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The VJ121A1D product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A1D) (https://doi.org/10.5067/MODIS/MOD21A1D.061)) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD) (https://lpdaac.usgs.gov/documents/1332/VNP21_ATBD_V1.pdf). The VJ121A1D product contains seven Science Datasets (SDS): LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VJ121A1D granule.
VIIRS/JPSS1 Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG V002
공공데이터포털
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Climate Modeling Grid Version 2 product (VJ121C) is compiled daily from daytime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily [VJ121](https://doi.org/10.5067/VIIRS/VJ121.002) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given day. The VJ121C1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The 0.05 degree (5,600 m) dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD).The VJ121C1 product contains 25 Science Datasets (SDS): LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VJ121C1 granule.Known Issues* For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website](https://landweb.modaps.eosdis.nasa.gov/knownissue?sensor=VIIRS) and the User Guide.Improvements/Changes from Previous Version* Improved calibration algorithm and coefficients for entire NOAA-20 mission.* Improved geolocation accuracy and applied updates to fix outliers around maneuver periods.* Corrected the aerosol quantity flag (low, average, high) mainly over brighter surfaces in the mid- to high-latitudes such as desert and tropical vegetation areas. This has an impact on the retrieval of other downstream data products such as VNP13 Vegetation Indices and VNP43 Bidirectional Reflectance Distribution Function (BRDF)/Albedo.* Improved cloud mask input product for corrections along coastlines and artifacts from use of coarse resolution climatology data. * Replaced the land/water mask input product with the eight-class land/water mask from the VNP03 geolocation product that better aligns with MODIS.* Replaced MERRA2 inputs with GEOS5.* Included inland water body pixels to allow for LST retrieval over these areas.* Introduced daily, 8-day, and monthly LST CMG products.* More details can be found in this [VIIRS Land V2 Changes document](https://landweb.modaps.eosdis.nasa.gov/data/userguide/VIIRS_Land_C2_Changes_09152022.pdf).
EJ and Impervious Cover
공공데이터포털
Geographic analysis of impervious cover and demographic attributes by 2010 Census block group. Demographic attributes and Census block groups were downloaded from the EJScreen web page (www.epa.gov/ejscreen). EJScreen technical documentation is available at website; click on the technical information link on the landing page; the link of the documentation is in the center of the web page. NLCD2019 data for impervious cover were downloaded from www.mrlc.gov. The impervious cover for 2001 and 2019 in the NLCD2019 database were used in the analysis. The Census block groups downloaded from EJScreen were projected into Albers Conic Equal Area to match the NLCD2019 projection (Albers Conic Equal Area: central meridian=96.0 W; origin latitude=23.0 N; false easting=0.0; false northing=0.0; standard parallel 1=29.5 N; standard parallel 2=49.5 N; Geographic coordinate system=WGS84; WKID=4326) .
통계청 SGIS e지방지표항목
공공데이터포털
SGIS오픈플랫폼의 e지방지표 서비스에서 사용되는 지표별 필드정보이며 수집된 데이터입니다.e지방지표명, e지방지표정의한글, e지방지표항목구분 정보를 포함합니다.
CDDIS VLBI Intensive Earth Orientation Parameter (EOPI) products
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These derived data products are intensive (1-hour experiments) Earth orientation parameter (EOPI) solutions obtained with Very Long Baseline Interferometry (VLBI). The CDDIS archive contains EOPI solutions provided by various analysis centers of the International VLBI Service for Geodesy and Astrometry (IVS). The VLBI EOPI series products includes one for each Universal Time (UT1) intensive session with a minimum of one year of data. The operational EOPI product is available at IVS Data Centers 24 hours after the Intensive data become available.