20201216 15150900 1.0 FALSE Sac_Valley_Aug2017_Sentinel2_10meter_NIR.tif 002 541190.000000 667980.000000 4239080.000000 4409140.000000 1 Projected GCS_WGS_1984 Linear Unit: Meter (1.000000) WGS_1984_UTM_Zone_10N <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.8'><WKT>PROJCS[&quot;WGS_1984_UTM_Zone_10N&quot;,GEOGCS[&quot;GCS_WGS_1984&quot;,DATUM[&quot;D_WGS_1984&quot;,SPHEROID[&quot;WGS_1984&quot;,6378137.0,298.257223563]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-123.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,32610]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>32610</WKID><LatestWKID>32610</LatestWKID></ProjectedCoordinateSystem> 16 FALSE LZW 4 TIFF TRUE continuous unsigned integer 65535 20210415 07562200 20210415 07562200 150000000 5000 FGDC Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362 Sac_Valley_Aug2017_Sentinel2_10meter_NIR.tif 2020-12-14T00:00:00 2020-12-14T00:00:00 DWR SWPAO Chief State Water Projects Analysis Office Water Transfer Program DWR SWPAO Chief 1416 9th Street Sacramento California 95814 SWPAO-Chief@water.ca.gov (916) 653-5791 Monday - Friday, 8:30 a.m. to 4:30 p.m. Lower Sacramento Valley August 2017 Sentinel Mosaic 1 -122.528934 -121.037430 39.831262 38.284082 This Sentinel-2 Multispectral Image is a mosaiced stacked images from August 18, 2017 of the Red (665nm) Green (560nm), Blue (490nm) and Near-Infrared (842nm) 10 meter resolution bands clipped to encompass a portion the Sacramento Valley to be used as base or reference imagery for the California Department of Water Resources (DWR) Water Transfer Program and Water Transfer Information Management System (WTIMS) tool. 2017-08-18T00:00:00 2017-08-18T00:00:00 This Sentinel-2 Multispectral Image is a mosaiced stacked images from August 18, 2017 of the Red (665nm) Green (560nm), Blue (490nm) and Near-Infrared (842nm)... <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The 2017 Sentinel Mosaiced image consists of multispectral stacked potions of the following Sentinel-2 tiles: L1C_T10SEH_A011264_20170818T190326, L1C_T10SEJ_A011264_20170818T190326, L1C_T10SFH_A011264_20170818T190326, L1C_T10SFJ_A011264_20170818T190326, L1C_T10TEK_A011264_20170818T190326. Each stacked tile contains the Sentinel-2 band 4: Red (665nm), band 3: Green (560nm), band 2: Blue (490nm) and band 8: Near-Infrared (842nm) 10 meter resolution bands. When stacked the bands were reordered in ArcGIS Pro, Red was assigned to Band 1, Green was assigned to band 2, Blue was assigned to band 3, and Near-Infrared was assigned to band 4 in the multispectral image. Once the multi-spectral image was stacked and mosaiced together, the Mosaiced image was clipped to the outer dissolved boundary of the following Detailed Analysis Unit (DAU) by County: 16604, 16704, 16804, 17004, 14211, 16311, 16411, 16611, 16711, portion of 16058, 17158, 17258, 16306, 16406, 16706, 16451, 16551, 16651, 16851, 17151, 17251, 16257, 16357, 16457, 18657, 19157, 17231, 17234. These DAUs by County areas make up a large portion of the Sacramento Valley.</SPAN></P><P><SPAN>The Sentinel-2 Imagery is a product of the European Commission’s Copernicus program and in agreement is processed into Image Tiles by the United States Geological Survey (USGS) for scientific usage. The Sentinel-2 Imagery Tiles are downloaded from the Earth Explorer, USGS Global Visualization Viewer (GloVis), or the Sentinel2Look Viewer . For more information on the Sentinel Imagery Tiles go to https://www.usgs.gov/centers/eros/science/usgs-eros-archive-sentinel-2?qt-science_center_objects=0#qt-science_center_objects. </SPAN></P></DIV></DIV></DIV> Sentinel 2 August 2017 Sacramento Valley Multispectral Infrared Near Infrared NIR RGB 10 Meter State Water Project Analysis Office SWPAO Water Transfer Program Water Transfer Information Management System WTIMS European Space Agency (ESA), United States Geological Survey (USGS) California Department of Water Resources (DWR) State Water Project Analysis Office (SWPAO), Jason Harbaugh, Environmental Scientist at DWR North Central Region Office (NCRO). <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>A collaborative effort between European Space Agency (ESA) and the USGS provides for the public access and redistribution of global acquisitions of ESA’s Sentinel-2 data at no cost through secondary U.S.-based portals, in addition to direct user access from ESA. The multispectral imagery was stacked, mosaiced and clipped by the California Department of Water Resources.</SPAN></P></DIV></DIV></DIV> Sentinel 2, August, 2019, Multispectral, Infrared, Near Infrared, NIR, RGB, 10 Meter Sacramento Valley 2017, August DWR SWPAO Chief State Water Projects Analysis Office Water Transfer Program DWR SWPAO Chief 1416 9th Street Sacramento California 95814 SWPAO-Chief@water.ca.gov (916) 653-5791 Monday - Friday, 8:30 a.m. to 4:30 p.m. DWR SWPAO Chief Jason Harbaugh California Department of Water Resources North Central Region Office Land and Water Use and Conservation Section Environmental Scientist 3500 Industrial Boulevard West Sacramento California 95691 jason.harbaugh@water.ca.gov US (916)376-9629 Jason Harbaugh Raster Dataset dataset EPSG 2.1(3.0.1) 2 1 0 541190.000000 4239080.000000 541190.000000 4409140.000000 667980.000000 4409140.000000 667980.000000 4239080.000000 604585.000000 4324110.000000 12679 10.000000 17006 10.000000 Band_1 11209.000000 344.000000 16 [arb'U] Radiometric Resolution Nanometer Band_2 13301.000000 560.000000 16 [arb'U] Radiometric Resolution Nanometer Band_3 18455.000000 614.000000 16 [arb'U] Radiometric Resolution Nanometer Band_4 11235.000000 253.000000 16 [arb'U] Radiometric Resolution Nanometer 10 Meter Multispectral Sentinel Image Bands Red, Green, Blue and Near-Infrared (NIR) False False False False False 20210415 DWR SWPAO Chief State Water Projects Analysis Office Water Transfer Program DWR SWPAO Chief 1416 9th Street Sacramento California 95814 SWPAO-Chief@water.ca.gov (916) 653-5791 Monday - Friday, 8:30 a.m. to 4:30 p.m. DWR SWPAO Chief This dataset started as downloaded Sentinel-2 Imagery Tile bands that were stacked into a multi-spectral image and then mosaiced together into one image for August 2017. The mosaic multispectral image was then clipped to a Detailed Analysis Unit by County outer boundary selected and dissolved to represent a portion of the lower Sacramento Valley. The Sentinel fleet of satellites is designed to deliver land remote sensing data that are central to the European Commission’s Copernicus program. The Sentinel-2 mission is the result of close collaboration between the European Space Agency (ESA), the European Commission, industry, service providers, and data users. The mission has been designed and built by a consortium of around 60 companies led by Airbus Defence and Space, and supported by the CNES French space agency to optimize image quality and by the DLR German Aerospace Centre to improve data recovery using optical communications. The Sentinel-2 mission consists of two satellites developed to support vegetation, land cover, and environmental monitoring. The Sentinel-2A satellite was launched by ESA on June 23, 2015, and operates in a sun-synchronous orbit with a 10-day repeat cycle. A second identical satellite (Sentinel-2B) was launched March 7, 2017 and is operational with data acquisitions available on EarthExplorer. Together they cover all Earth’s land surfaces, large islands, and inland and coastal waters every five days. The Sentinel-2 MultiSpectral Instrument (MSI) acquires 13 spectral bands ranging from Visible and Near-Infrared (VNIR) to Shortwave Infrared (SWIR) wavelengths along a 290-km orbital swath. The MSI sensor data are complementary to data acquired by the U.S. Geological Survey (USGS) Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) (Comparison of Sentinel-2 and Landsat). A collaborative effort between ESA and the USGS provides for the public access and redistribution of global acquisitions of ESA’s Sentinel-2 data at no cost through secondary U.S.-based portals, in addition to direct user access from ESA. Spectral Bands and Resolution The MSI measures reflected radiance through the atmosphere within 13 spectral bands. The spatial resolution is dependent on the particular spectral band: 4 bands at 10 meter: blue (490 nm), green (560 nm), red (665 nm), and near-infrared (842 nm). 6 bands at 20 meter: 4 narrow bands for vegetation characterization (705 nm, 740 nm, 783 nm, and 865 nm) and 2 larger SWIR bands (1,610 nm and 2,190 nm) for applications such as snow/ice/cloud detection or vegetation moisture stress assessment. 3 bands at 60 meter: mainly for cloud screening and atmospheric corrections (443 nm for aerosols, 945 nm for water vapor, and 1375 nm for cirrus detection). USGS Sentinel-2 Collaborative Multispectral Imagery https://www.usgs.gov/centers/eros/science/usgs-eros-archive-sentinel-2?qt-science_center_objects=0#qt-science_center_objects USGS EROS Archive - Sentinel-2 The European Space Agency’s Multispectral Instrument on the Sentinel-2 satellite provides global (from 83 degrees north 56 degrees south latitude) 10-meter resolution, multispectral images every 10 days (2015-present). Sentinel-2 2017-08-18T00:00:00 2017-08-18T00:00:00 The 2017 Sentinel Mosaiced image consists of multispectral stacked potions of the following Sentinel-2 tiles: L1C_T10SEH_A011264_20170818T190326, L1C_T10SEJ_A011264_20170818T190326, L1C_T10SFH_A011264_20170818T190326, L1C_T10SFJ_A011264_20170818T190326, L1C_T10TEK_A011264_20170818T190326. Each stacked tile contains the Sentinel-2 band 4: Red (665nm), band 3: Green (560nm), band 2: Blue (490nm) and band 8: Near-Infrared (842nm) 10 meter resolution bands. When stacked the bands were reordered in ArcGIS Pro, Red was assigned to Band 1, Green was assigned to band 2, Blue was assigned to band 3, and Near-Infrared was assigned to band 4 in the multispectral image. Once the multi-spectral image was stacked and mosaiced together, the Mosaiced image was clipped to the outer dissolved boundary of the following Detailed Analysis Unit (DAU) by County: 16604, 16704, 16804, 17004, 14211, 16311, 16411, 16611, 16711, portion of 16058, 17158, 17258, 16306, 16406, 16706, 16451, 16551, 16651, 16851, 17151, 17251, 16257, 16357, 16457, 18657, 19157, 17231, 17234. This Sentinel-2 Multispectral Image is a mosaiced stacked images from August 18, 2017 of the Red (665nm) Green (560nm), Blue (490nm) and Near-Infrared (842nm) 10 meter resolution bands clipped to encompass a portion the Sacramento Valley to be used as base or reference imagery for the California Department of Water Resources (DWR) Water Transfer Program and Water Transfer Information Management System (WTIMS) tool. 2020-12-14T00:00:00 Jason Harbaugh California Department of Water Resources North Central Region Office Land and Water Use and Conservation Section Environmental Scientist 3500 Industrial Boulevard West Sacramento California 95691 jason.harbaugh@water.ca.gov US (916)376-9629 The MSI measures reflected radiance through the atmosphere within 13 spectral bands. The spatial resolution is dependent on the particular spectral band: 4 bands at 10 meter: blue (490 nm), green (560 nm), red (665 nm), and near-infrared (842 nm). 6 bands at 20 meter: 4 narrow bands for vegetation characterization (705 nm, 740 nm, 783 nm, and 865 nm) and 2 larger SWIR bands (1,610 nm and 2,190 nm) for applications such as snow/ice/cloud detection or vegetation moisture stress assessment. 3 bands at 60 meter: mainly for cloud screening and atmospheric corrections (443 nm for aerosols, 945 nm for water vapor, and 1375 nm for cirrus detection). SENTINEL-2 Radiometric and Spatial Resolutions Band Number Central Wavelength (nm) Bandwidth (nm) Spatial Resolution (m) 1 443 20 60 2 490 65 10 3 560 35 10 4 665 30 10 5 705 15 20 6 740 15 20 7 783 20 20 8 842 115 10 8a 865 20 20 9 945 20 60 10 1375 30 60 11 1610 90 20 12 2190 180 20 TCI* RGB Composite 10 *Data acquired after December 5, 2016 include a full resolution True-Colour Image as an RGB (red, green, blue) composite image created from bands 4, 3, 2. The USGS Spectral Characteristics Viewer helps users determine which spectral bands work best to identify their features of interest for image interpretation. This tool also facilitates the visualization of the Relative Spectral Response (RSR) of various satellite sensors Processing Level The partnership between ESA and the USGS allows for the distribution of Level-1C top-of-atmosphere (TOA) reflectance data. Level-1C processing includes radiometric and geometric corrections along with orthorectification to generate highly accurate geolocated products. Data Products The USGS Earth Resources Observation and Science (EROS) Center repackages Sentinel-2 products on a per tile basis while preserving the Sentinel Standard Archive Format for Europe (SAFE) format specification, which allows for the distribution of a user-friendly file size that is approximately 650 MB. Each Level-1C product is a 100 km x 100 km tile with a UTM/WGS84 (Universal Transverse Mercator/World Geodetic System 1984) projection and datum. The Sentinel-2 tiling grid is referenced to the U.S. Military Grid Reference System (MGRS). Tiles can be fully or partially covered by image data. Partially covered tiles correspond to those at the edge of the swath. The download package from the USGS includes one file for each of the 13 spectral bands plus metadata. Update: Data acquired after December 5, 2016 are distributed from ESA in a single tile basis with a shorter naming convention and include a full-resolution True-Colour Image. Previously offered Sentinel-2 data in the EROS archive will be replaced as data with the True-Colour Image become available from ESA. Users may see temporary scene duplication in search results. Products are available for download in a zip file, which includes image data, quality indicators, auxiliary data, and metadata. Sentinel image data are in Geographic Markup Language JPEG2000 (GMLJP2) format. GML provides the encoding necessary for georeferencing the image. Sentinel-2 data are intended for scientific use within a Geographic Information System (GIS) or other special application software that supports the GMLJP2 format. ESA offers the Sentinel 2 Toolbox, an open source software product, for the visualization, analysis, and processing of GMLJP2 files/Sentinel-2 data and other high-resolution remote sensing data. Full Resolution Browse (FRB) images in Georeferenced Tagged Image File Format (GeoTIFF) are also available from the USGS for Sentinel-2 tiles. This product is a simulated natural color composite image created from three selected bands (11, 8A, 4) with a ground resolution of 20 meters. All Sentinel-2 data products are provided free of charge to all data users, including the general public, and scientific and commercial users under the terms and conditions prescribed by the European Commission’s Copernicus Programme. Jason Harbaugh California Department of Water Resources North Central Region Office Land and Water Use and Conservation Section Environmental Scientist 3500 Industrial Boulevard West Sacramento California 95691 jason.harbaugh@water.ca.gov US (916)376-9629 Jason Harbaugh 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