{"id":9044,"date":"2026-05-18T15:55:02","date_gmt":"2026-05-18T15:55:02","guid":{"rendered":"https:\/\/godshand.link\/ground_post\/landsat-10-mission-details-nasa-science\/"},"modified":"2026-05-18T15:55:02","modified_gmt":"2026-05-18T15:55:02","slug":"landsat-10-mission-details-nasa-science","status":"publish","type":"ground_post","link":"https:\/\/godshand.link\/en_gb\/ground_post\/landsat-10-mission-details-nasa-science\/","title":{"rendered":"Landsat 10 Mission Details &#8211; NASA Science"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div xmlns:default=\"http:\/\/www.w3.org\/2000\/svg\">\n<div id=\"\" class=\"nasa-gb-align-full maxw-full width-full padding-0 hds-module hds-module-full alignfull wp-block-nasa-blocks-page-intro\">\n<div class=\"padding-0 bg-spacesuit-white wp-block-nasa-blocks-page-intro\">\n<div class=\"hds-page-intro hds-page-intro-banner width-full maxw-full padding-0 hds-cover-wrapper minh-tablet\">\n<figure class=\"hds-media-background\"><img width=\"3840\" height=\"2160\" src=\"https:\/\/assets.science.nasa.gov\/dynamicimage\/assets\/science\/missions\/landsat\/landsat-10\/Stack%20Graphic%20-%20LNext.png?w=3840&amp;h=2160&amp;fit=clip&amp;crop=faces%2Cfocalpoint\" class=\"attachment-2048x2048 size-2048x2048\" alt=\"Planned capabilities of Landsat 10, showing how its wide array of spectral bands will monitor critical indicators like water quality, plant health, and crop water use.\" style=\"transform: scale(1); transform-origin: 50% 55%; object-position: 50% 55%; object-fit: cover;\" block_context=\"nasa-block\" loading=\"lazy\" decoding=\"async\"\/><\/figure>\n<\/p><\/div><\/div><\/div>\n<h2 class=\"wp-block-heading\" id=\"Mission-Objectives\">Mission Objectives<\/h2>\n<p>Under the <a target=\"_blank\" href=\"https:\/\/www.nasa.gov\/saa\/domestic\/34745_NASA-DOI_SLI_Umbrella_IAA_2021-2031-fully_executed.pdf\" rel=\"noreferrer noopener\">Sustainable Land Imaging (SLI) Program<\/a>, Landsat\u00a010\u00a0will continue the long-running partnership between NASA and the USGS by\u00a0acquiring\u00a0high-quality, space-borne, medium-resolution global land imaging data.\u00a0The Landsat\u00a010\u00a0mission has four major\u00a0objectives:<\/p>\n<ul class=\"wp-block-list\">\n<li>Collect and archive\u00a0medium-resolution\u00a0(10-60m), reflective and emissive multispectral image data affording seasonal coverage of the global land mass for a period of no less than five years.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Ensure that data are sufficiently consistent with data from earlier Landsat missions in terms of spectral and spatial characteristics, acquisition rates, geometry, calibration, product quality, and data availability.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Support critical emerging user needs and applications, as characterized by periodic assessments and\u00a0identified\u00a0by operational requirements.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Distribute data products to the public in\u00a0a timely\u00a0and dependable manner on a nondiscriminatory, unrestricted basis.\u00a0<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\" id=\"Mission-Concept\"><strong>An Innovative Mission Concept<\/strong>\u00a0<\/h2>\n<p>Landsat\u00a010\u00a0is an innovative mission concept that will continue the Landsat program\u2019s legacy of global land imaging with finer spatial resolution and richer spectral information. The mission reflects both advances in technology, in part through the <a target=\"_blank\" href=\"https:\/\/esto.nasa.gov\/slit\/\" rel=\"noreferrer noopener\">NASA Sustainable Land Imaging-Technology (SLI-T) program<\/a>, and user\u00a0application\u00a0priorities for land monitoring, as reflected in the following key documents:<\/p>\n<p><s>\u202f<\/s>The key elements of the Landsat\u00a010\u00a0concept include:<\/p>\n<ul class=\"wp-block-list\">\n<li>Continuation of the Landsat legacy through sustainable mission operations.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Collection of bands with higher spatial resolutions, ranging from 10 to 60 meters,\u00a0for improved detection, monitoring, and management.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Acquisition of 26 spectral bands to support Landsat data continuity,\u00a0<br \/>Sentinel-2 compatibility, and emerging applications.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Preservation of spatial, geometric, and radiometric requirements to\u00a0maintain\u00a0long-term data consistency and ensure high-quality science products.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Collection of reflective and thermal infrared bands within 15 seconds of each other to allow for band-to-band\u00a0georegistration\u00a0and\u00a0accurate\u00a0observations.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Development of the Worldwide Reference System-3 (WRS-3) based on the updated orbital parameters.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>Implementation of new techniques to increase the efficiency of ground system operations and improve the distribution of data products.\u00a0<\/li>\n<\/ul>\n<h2 class=\"wp-block-heading\" id=\"New-Worldwide-Reference-System\">A New Worldwide Reference System<\/h2>\n<p>Landsat\u00a010 will occupy a sun-synchronous orbit at an altitude of 653 kilometers (406 miles), have an inclination of ~98 degrees, and image the ground track at the equator at 10:10 am \u00b1 5 minutes (mean local time at descending node). At a slightly lower altitude than previous Landsat satellites, Landsat 10 achieves a global minimum of 18-day temporal revisit given the stringent field-of-view requirements of the Landsat record. Images, or scenes,\u00a0acquired\u00a0by the former Landsat missions were cataloged and referenced using\u00a0\u00a0<a target=\"_blank\" href=\"https:\/\/gcc02.safelinks.protection.outlook.com\/?url=https%3A%2F%2Flandsat.gsfc.nasa.gov%2Fabout%2Fthe-worldwide-reference-system%2F&amp;data=05%7C02%7Cross.k.walter%40nasa.gov%7Cf220e1e3fd76441c676908de9a34bb68%7C7005d45845be48ae8140d43da96dd17b%7C0%7C0%7C639117748438909410%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=SBj0lVCyCgkBPbeCd5rm1xHonVQBrRcJ4H2KuTGdMpQ%3D&amp;reserved=0\">Worldwide Reference System (WRS)<\/a>\u202fgrids (WRS-1 and WRS-2).<\/p>\n<p>To accommodate the Landsat\u00a010\u00a0repeating ground track and global revisit cycle, a new global grid reference system called WRS-3\u00a0was\u00a0established\u00a0to\u00a0acquire, catalog, and distribute Landsat\u00a010\u00a0scenes. Preserving the\u00a0previous\u00a0global reference system and heritage view angle geometry was considered less critical to the overall Landsat\u00a010\u00a0mission architecture, since science applications are increasingly moving from scene- to pixel-based analysis using <a target=\"_blank\" href=\"https:\/\/doi.org\/10.1016\/j.rse.2016.01.023\" rel=\"noreferrer noopener\">BRDF-normalized data<\/a>.\u00a0<\/p>\n<p>Under WRS-3, global acquisitions will be completed in 265 orbits (or\u00a0paths), compared to the 233 orbits associated with WRS-2. The orbits are numbered sequentially with path numbers increasing from east to west. The row indexing system will be the same as WRS-2, with the orbital paths being segmented into\u00a0248 equally\u00a0spaced\u00a0scene centers based\u00a0on lines of latitude, but the swath size will be slightly narrower. The rows are indexed so that the numbers of the descending (daytime) path increase in the\u00a0along-track direction.<\/p>\n<p>The number of unique ground tracks means that adjacent tracks are approximately 151 kilometers (94 miles) apart at the equator. Therefore, the\u00a0minimum\u00a0swath width, after adding 10 kilometers for ground track error and 3 kilometers for margin, is 164 kilometers (102 miles). The along-track scene length, which includes a combined 3% in-track overlap with adjacent scenes, is 168 kilometers (104 miles).\u202f\u00a0<\/p>\n<h2 class=\"wp-block-heading\" id=\"Spatial-Resolutions\"><strong>Improved Spatial Resolutions<\/strong><\/h2>\n<p>A user needs survey (<a target=\"_blank\" href=\"https:\/\/doi.org\/10.1016\/j.rse.2019.111214\" rel=\"noreferrer noopener\">Wu et al., 2019<\/a>) revealed that Landsat reflective and thermal infrared emission band data could be better optimized and harmonized with Sentinel-2 data by increasing the spatial resolution of bands for future Landsat missions. Finer spatial resolutions better characterize surface features and dynamics, particularly in heterogenous landscapes with complex structural and compositional variability, such as those in urban environments and coastal ecosystems. They also\u00a0facilitate\u00a0the detection and mapping of smaller features, such as woodlots, streams, riparian corridors, and agricultural fields.\u00a0<\/p>\n<p>Landsat\u00a010\u00a0will collect all 26 spectral bands at improved spatial resolutions, with ground sample distances (GSD) of 10 to 20 meters for the visible to\u00a0shortwave-infrared (VSWIR)\u00a0bands and 60 meters for the atmospheric and thermal-infrared\u00a0(TIR)\u00a0bands. Five fundamental bands, including Red 2, Green, Blue,\u00a0near-infrared (NIR)\u00a0Broad, and\u00a0shortwave-infrared (SWIR)\u00a01, will have a GSD of 10 meters. These bands will\u00a0facilitate\u00a0considerable advancements in land cover mapping and enable the calculation of spectral indices (e.g., NDVI, NDMI, MSAVI, SAVI, NDSI) with finer spatial resolutions.\u00a0<\/p>\n<h2 class=\"wp-block-heading\" id=\"Spectral-Capabilities\"><strong>Enhanced Spectral Capabilities<\/strong><\/h2>\n<p>Over the course of five decades, the number of spectral bands\u00a0acquired\u00a0by Landsat sensors has increased as technological advancements have been made.\u00a0Landsat 1, with its <a target=\"_blank\" href=\"https:\/\/science.nasa.gov\/mission\/landsat\/mss\/\" rel=\"noreferrer noopener\">Multispectral Scanner (MSS)<\/a>, collected four broad visible and\u00a0near-infrared (NIR) bands. Landsat 8 and Landsat 9 each\u00a0acquire\u00a011 spectral bands with their Operational Land Imager (<a target=\"_blank\" href=\"https:\/\/science.nasa.gov\/mission\/landsat\/oli\/\" rel=\"noreferrer noopener\">OLI<\/a>) and Thermal Infrared Sensor (<a target=\"_blank\" href=\"https:\/\/science.nasa.gov\/mission\/landsat\/tirs\/\" rel=\"noreferrer noopener\">TIRS<\/a>) instruments.\u00a0The addition of new bands, including thermal emission bands, with each successive generation of Landsat satellites has supported novel and emerging scientific applications and\u00a0permitted\u00a0a greater understanding of global ecosystems and processes, all while\u00a0maintaining\u00a0the long-term\u00a0\u201cheritage\u201d bands\u00a0to ensure consistency with data from earlier missions.\u00a0<\/p>\n<p>Landsat\u00a010\u2019s 26\u00a0superspectral\u00a0bands reflect user needs for data continuity and new sources of Earth observation data to address emerging challenges in land, water, and climate science. These enhanced capabilities are made possible by recent advances in instruments, sensors, and observatory components. \u201cSuperspectral\u201d refers to a greater number of bands than the\u00a0previous\u00a0multispectral Landsat missions.\u202fSimilar to\u00a0former\u00a0Landsat missions, the bands were preselected by the user community based on science needs and\u00a0previous\u00a0laboratory, field, airborne, or space-based studies, and were carefully aligned to minimize absorption by the atmosphere\u00a0(i.e., bands\u00a0are\u00a0located\u00a0in\u00a0\u201c<a target=\"_blank\" href=\"https:\/\/science.nasa.gov\/missions\/landsat\/the-intervening-atmosphere-tracing-the-provenance-of-a-favorite-landsat-infographic\/\" rel=\"noreferrer noopener\">atmospheric windows<\/a>\u201d).\u00a0<\/p>\n<p>Landsat\u00a010\u00a0will\u00a0acquire\u00a0refined versions of the 11 Landsat \u201cheritage\u201d bands, which includes subdividing broad broads for\u00a0emerging\u00a0applications and adding TIR bands for temperature and emissivity separation.\u00a0To support\u00a0<a target=\"_blank\" href=\"https:\/\/hls.gsfc.nasa.gov\/\" rel=\"noreferrer noopener\">synergy and data fusion with Sentinel-2 data,<\/a>\u00a0Landsat 10 includes\u00a0five new bands with similar spatial and spectral characteristics. Ten new spectral bands will\u00a0support evolving and emerging applications, including detection of harmful algal blooms (HABs); snow\/ice grain size retrieval and monitoring of melt dynamics; and quantification of crop residue and non-photosynthetic vegetation for agricultural management and soil conservation.\u00a0An infrared water vapor band was also added to retrieve total column water vapor and remove residual atmospheric absorption and scattering effects in Landsat image data without requiring ancillary data from other Earth observing satellites.<\/p>\n<figure class=\"wp-block-table\">\n<table class=\"has-fixed-layout\">\n<thead>\n<tr>\n<th><strong>BANDS<\/strong>\u00a0<\/th>\n<th\/>\n<th><strong>GSD (m)<\/strong>\u00a0<\/th>\n<th><strong>WAVE-LENGTH RANGE (nm)<\/strong>\u00a0<\/th>\n<th><strong>RATIONALE<\/strong><\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>1<\/td>\n<td>Violet<\/td>\n<td>60<\/td>\n<td>402 &#8211; 422<\/td>\n<td>Aerosol retrieval, atmospheric correction, detection of colored dissolved organic matter<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Coastal\/Aerosol<\/td>\n<td>20<\/td>\n<td>433 &#8211; 453<\/td>\n<td>Landsat heritage, Sentinel-2\u00a0synergy, vegetation\u00a0health\u00a0and plant vigor assessments<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Blue<\/td>\n<td>10<\/td>\n<td>457.5 &#8211; 522.5<\/td>\n<td>Landsat heritage, Sentinel-2\u00a0synergy, bathymetry, soil\/vegetation mapping, detection of snow impurities<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>Green<\/td>\n<td>10<\/td>\n<td>542.5 &#8211; 577.5<\/td>\n<td>Landsat heritage, Sentinel-2\u00a0synergy, vegetation\u00a0health\u00a0and plant vigor assessments<\/td>\n<\/tr>\n<tr>\n<td>5<\/td>\n<td>Yellow\u00a0<\/td>\n<td>20<\/td>\n<td>585 &#8211; 615<\/td>\n<td>Detection of leaf chlorosis and vegetation stress, aquatic\u00a0health\u00a0and water quality assessments<\/td>\n<\/tr>\n<tr>\n<td>6<\/td>\n<td>Orange<\/td>\n<td>20<\/td>\n<td>610 &#8211; 630<\/td>\n<td>Aquatic\u00a0Phycocyanin (cyanobacteria) detection<\/td>\n<\/tr>\n<tr>\n<td>7<\/td>\n<td>Red 1<\/td>\n<td>20<\/td>\n<td>640 &#8211; 660<\/td>\n<td>Landsat heritage, phycocyanin\u00a0flourescence\u00a0(cyanobacteria) detection, chlorophyll content mapping<\/td>\n<\/tr>\n<tr>\n<td>8<\/td>\n<td>Red 2<\/td>\n<td>10<\/td>\n<td>650 &#8211; 680<\/td>\n<td>Landsat heritage, Sentinel-2\u00a0synergy, chlorophyll content and vegetation mapping, vegetation differentiation<\/td>\n<\/tr>\n<tr>\n<td>9<\/td>\n<td>Red Edge 1<\/td>\n<td>20<\/td>\n<td>697.5 &#8211; 712.5<\/td>\n<td>Sentinel-2\u00a0synergy, leaf area index mapping, chlorophyll\u00a0content\u00a0and plant stress mapping<\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>Red Edge 2<\/td>\n<td>20<\/td>\n<td>732.5 &#8211; 747.5<\/td>\n<td>Sentinel-2\u00a0synergy, leaf area index mapping, chlorophyll\u00a0content\u00a0and plant stress mapping<\/td>\n<\/tr>\n<tr>\n<td>11<\/td>\n<td>NIR Broad<\/td>\n<td>10<\/td>\n<td>784.5 &#8211; 899.5<\/td>\n<td>Sentinel-2\u00a0synergy,\u00a010 meter\u00a0NDVI, biomass content and shoreline detection<\/td>\n<\/tr>\n<tr>\n<td>12<\/td>\n<td>NIR 1<\/td>\n<td>20<\/td>\n<td>855 &#8211; 875<\/td>\n<td>Landsat heritage, Sentinel-2\u00a0synergy, biomass\u00a0content\u00a0and shoreline detection<\/td>\n<\/tr>\n<tr>\n<td>13<\/td>\n<td>Water Vapor<\/td>\n<td>60<\/td>\n<td>935 &#8211; 955<\/td>\n<td>Sentinel-2\u00a0synergy, atmospheric correction for land surface temperature, surface reflectance<\/td>\n<\/tr>\n<tr>\n<td>14<\/td>\n<td>Liquid Water<\/td>\n<td>20<\/td>\n<td>975 &#8211; 995<\/td>\n<td>Liquid water and water surface state detection, vegetation water content mapping<\/td>\n<\/tr>\n<tr>\n<td>15<\/td>\n<td>Snow\/Ice 1<\/td>\n<td>20<\/td>\n<td>1025 &#8211; 1045<\/td>\n<td>Snow grain size mapping<\/td>\n<\/tr>\n<tr>\n<td>16<\/td>\n<td>Snow\/Ice 2<\/td>\n<td>20<\/td>\n<td>1080 &#8211; 1100<\/td>\n<td>Ice absorption, snow grain size mapping<\/td>\n<\/tr>\n<tr>\n<td>17<\/td>\n<td>Cirrus<\/td>\n<td>60<\/td>\n<td>1360 &#8211; 1390<\/td>\n<td>Landsat heritage, Sentinel-2\u00a0synergy, detection of cirrus (high-altitude) clouds<\/td>\n<\/tr>\n<tr>\n<td>18<\/td>\n<td>SWIR 1<\/td>\n<td>10<\/td>\n<td>1565 &#8211; 1655<\/td>\n<td>Landsat heritage, Sentinel-2\u00a0synergy, detection of non-photosynthetic vegetation, fuel moisture mapping<\/td>\n<\/tr>\n<tr>\n<td>19<\/td>\n<td>SWIR 2a<\/td>\n<td>20<\/td>\n<td>2025.5 &#8211; 2050.5<\/td>\n<td>Cellulose\/crop residue mapping<\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>SWIR 2b<\/td>\n<td>20<\/td>\n<td>2088 &#8211; 2128<\/td>\n<td>Landsat heritage, cellulose\/crop residue and soil moisture content mapping, fire scar detection<\/td>\n<\/tr>\n<tr>\n<td>21<\/td>\n<td>SWIR 2c<\/td>\n<td>20<\/td>\n<td>2191 &#8211; 2231<\/td>\n<td>Landsat heritage, cellulose\/crop residue and soil moisture content mapping, fire scar detection<\/td>\n<\/tr>\n<tr>\n<td>22<\/td>\n<td>TIR 1<\/td>\n<td>60<\/td>\n<td>8175 &#8211; 8425<\/td>\n<td>ASTER\u00a0synergy, mineral and surface composition mapping<\/td>\n<\/tr>\n<tr>\n<td>23<\/td>\n<td>TIR 2<\/td>\n<td>60<\/td>\n<td>8425 &#8211; 8775<\/td>\n<td>ASTER\u00a0synergy, emissivity separation, volcano\/sulfur dioxide emissions mapping<\/td>\n<\/tr>\n<tr>\n<td>24<\/td>\n<td>TIR 3<\/td>\n<td>60<\/td>\n<td>8925 &#8211; 9275<\/td>\n<td>ASTER\u00a0synergy, mineral and surface composition mapping<\/td>\n<\/tr>\n<tr>\n<td>25<\/td>\n<td>TIR 4<\/td>\n<td>60<\/td>\n<td>11025 &#8211; 11575<\/td>\n<td>Landsat heritage, surface temperature retrieval, carbonate mineral mapping<\/td>\n<\/tr>\n<tr>\n<td>26<\/td>\n<td>TIR 5<\/td>\n<td>60<\/td>\n<td>11725 &#8211; 12275<\/td>\n<td>Landsat heritage, surface temperature retrieval, snow grain\u00a0size\u00a0and moisture content mapping<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n<div id=\"\" class=\"nasa-gb-align-center padding-y-3 maxw-full width-full display-flex flex-align-center hds-module aligncenter wp-block-nasa-blocks-blockquote\">\n<div class=\"grid-container grid-container-block display-flex flex-column flex-justify-center padding-0\">\n<div class=\"grid-col-12 desktop:display-flex mobile:display-block\">\n<div class=\"blockquote-content\">\n<div class=\"display-flex\">\n<div class=\"grid-col-11\">\n<p class=\"blockquote-credit-name line-height-sm margin-0\">Julia A. Barsi<\/p>\n<p class=\"blockquote-credit-title line-height-sm padding-0 margin-0\">NASA Landsat\u00a0Calibration\u00a0Scientist<\/p>\n<\/p><\/div><\/div><\/div><\/div><\/div>\n<\/div>\n<h2 class=\"wp-block-heading\" id=\"Radiometric-and-Geometric-Performance\"><strong>Robust Radiometric and Geometric Performance<\/strong><\/h2>\n<p>The Landsat program has an extensive historical record of highly calibrated data and has served as a <a target=\"_blank\" href=\"https:\/\/web.archive.org\/web\/20240905135325\/https:\/www.fgdc.gov\/ngac\/meetings\/october-2020\/ngac-paper-landsat-data-community-standard-for.pdf\" rel=\"noreferrer noopener\">gold standard of global land imaging<\/a>\u202ffor more than five decades. These elevated standards have\u00a0permitted\u00a0time-series analyses and quantitative assessments; enabled the development of higher-level science products; and supported commercial and international sectors through cross-sensor calibration. Rigorous calibration and correction methods have also been applied to provide consistency to a time series that was\u00a0acquired\u00a0through different atmospheric conditions using eight different instruments with slightly different spatial, spectral, and view angle characteristics.<\/p>\n<p>The Landsat\u00a010\u00a0mission will continue the vision of calibration and validation associated with the Landsat program. Radiometric requirements will be aligned with Landsat 8 and Landsat 9 heritage bands, and\u00a0georegistration\u00a0requirements will be adjusted to match the finer GSD of Landsat\u00a010\u00a0bands.<\/p>\n<p><strong>The radiometric requirements for Landsat\u00a010\u00a0include:<\/strong>\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li>Signal-to-noise ratios (SNR) matching Landsat 9 when aggregated to 30-meter pixels\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>&lt;5% absolute error in at-sensor radiance; &lt;3% in reflectance\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>TIR absolute radiometric accuracy 1% at normal Earth temperatures\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>&lt;1% VSWIR radiometric change during any WRS-3 cycle (&lt;2% TIR)\u00a0<\/li>\n<\/ul>\n<p><strong>The geometric requirements for Landsat\u00a010\u00a0include:<\/strong>\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li>Sub-pixel accuracy in band-to-band registration to support multispectral analysis\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>&lt;30 meter\u00a0absolute geodetic error (CE90) before ground control\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li>&lt;8 meter\u00a0geometric error (CE90) after ground control and terrain compensation\u00a0<\/li>\n<\/ul>\n<p>To ensure band-to-band alignment and allow\u00a0accurate\u00a0cloud screening and science data product generation, each Landsat\u00a010\u00a0Instrument Suite (LandIS) will\u00a0acquire\u00a0all bands for a scene within a 15-second period. Band-to-band co-registration will be 2, 3, and 6 meters for the 10-, 20-, and 60-meter solar reflective bands, respectively, and 15 meters between the reflective and TIR bands.\u00a0<\/p>\n<div id=\"\" class=\"nasa-gb-align-center padding-y-3 maxw-full width-full display-flex flex-align-center hds-module aligncenter wp-block-nasa-blocks-blockquote\">\n<div class=\"grid-container grid-container-block display-flex flex-column flex-justify-center padding-0\">\n<div class=\"grid-col-12 desktop:display-flex mobile:display-block\">\n<div class=\"blockquote-content\">\n<div class=\"display-flex\">\n<div class=\"grid-col-11\">\n<p class=\"blockquote-credit-name line-height-sm margin-0\">Kevin T. Gallagher<\/p>\n<p class=\"blockquote-credit-title line-height-sm padding-0 margin-0\">USGS Associate Director Core Science Systems<\/p>\n<\/p><\/div><\/div><\/div><\/div><\/div>\n<\/div>\n<h2 class=\"wp-block-heading\" id=\"Data-Volumes\"><strong>Data Volumes, Storage, and Computing<\/strong><\/h2>\n<p>Landsat 10 will collect an estimated 740 scenes per day. With each scene measuring 164 kilometers by 168 kilometers.\u00a0Landsat 10 reflective bands will have 14-bit depth and thermal bands will have 12-bit depth. Given these specifications, compressed Level-1 Landsat 10 data products are estimated to be 3.7 gigabytes per scene. This increased data volume will add 2.7 terabytes of data to the Landsat archive each day.\u00a0<\/p>\n<div id=\"\" class=\"hds-topic-cards nasa-gb-align-full maxw-full width-full padding-y-6 padding-x-3 color-mode-dark hds-module hds-module-full alignfull wp-block-nasa-blocks-topic-cards\">\n<div class=\"grid-container grid-container-block-lg padding-x-0\">\n<div class=\"grid-row flex-align-center margin-bottom-3\">\n<div class=\"desktop:grid-col-8 margin-bottom-2 desktop:margin-bottom-0\">\n<p>Keep Exploring<\/p>\n<h2 class=\"heading-36 line-height-sm\">Discover More From Landsat<\/h2>\n<\/p><\/div><\/div><\/div><\/div>\n<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/science.nasa.gov\/mission\/landsat-10\/mission-details\/?rand=6382\" target=\"_blank\">Source link <\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Mission Objectives Under the Sustainable Land Imaging (SLI) Program, Landsat\u00a010\u00a0will continue the long-running partnership between NASA and the USGS by\u00a0acquiring\u00a0high-quality, space-borne, medium-resolution global land imaging data.\u00a0The Landsat\u00a010\u00a0mission has four major\u00a0objectives: Collect and archive\u00a0medium-resolution\u00a0(10-60m), reflective and emissive multispectral image data affording seasonal coverage of the global land mass for a period of no less than five years.\u00a0 Ensure that data are&hellip;<\/p>","protected":false},"author":99032,"featured_media":9045,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","format":"standard","meta":{"give_campaign_id":0,"footnotes":""},"tags":[1437,459,356,374,460],"ground_category":[137,313],"class_list":["post-9044","ground_post","type-ground_post","status-publish","format-standard","has-post-thumbnail","hentry","tag-details","tag-landsat","tag-mission","tag-nasa","tag-science","ground_category-1-grounds-science","ground_category-1-4-discover-saturn"],"fifu_image_url":"https:\/\/assets.science.nasa.gov\/content\/dam\/science\/missions\/landsat\/landsat-10\/Stack%20Graphic%20-%20LNext.png\/jcr:content\/renditions\/cq5dam.web.1280.1280.png","_links":{"self":[{"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/ground_post\/9044","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/ground_post"}],"about":[{"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/types\/ground_post"}],"author":[{"embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/users\/99032"}],"replies":[{"embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/comments?post=9044"}],"version-history":[{"count":0,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/ground_post\/9044\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/media\/9045"}],"wp:attachment":[{"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/media?parent=9044"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/tags?post=9044"},{"taxonomy":"ground_category","embeddable":true,"href":"https:\/\/godshand.link\/en_gb\/wp-json\/wp\/v2\/ground_category?post=9044"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}