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NASA Technical Reports Server (NTRS) 19990040836: Overview of the Landsat-7 Mission PDF

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Preview NASA Technical Reports Server (NTRS) 19990040836: Overview of the Landsat-7 Mission

Submission to Earth Observation Magazine Overview of the Landsat-7 Mission Darrel Williams and James Irons Landsat Project Science Office NASA Goddard Space Flight Center and Samuel N. Goward and Jeffery Masek Landsat Science Team Geography, University of Maryland College Park Landsat-7 is scheduled for launch on April 15 from the Western Test Range at Vandenberg Air Force Base, Calif., on a Delta-II expendable launch vehicle. The Landsat 7 satellite consists of a spacecraft bus being provided by Lockheed Martin Missiles and Space (Valley Forge, Pa.) and the Enhanced Thematic Mapper Plus instrument built by Raytheon (formerly Hughes) Santa Barbara Remote Sensing (Santa Barbara, Calif.). The instrument on board Landsat 7 is the Enhanced Thematic Mapper Plus (ETM+). ETM+ improves upon the previous Thematic Mapper (TM) instruments on Landsat's 4 and 5 (Fig. la and lb). It includes the previous 7 spectral bands measuring reflected solar radiation and emitted thermal emissions but, in addition, includes a new 15 m panchromatic (visible-near infrared) band. The spatial resolution of the thermal infrared band has also been improved to 60 m. Both the radiometric precision and accuracy of the sensor are also improved from the previous TM sensors. After being launched into a sun-synchronous polar orbit, the satellite will use on-board propulsion to adjust its orbit to a circular altitude of 438 miles (705 kilometers) crossing the equator at approximately 10 a.m. on its southward track. This orbit will place Landsat 7 along the same ground track as previous Landsat satellites. The orbit will be maintained with periodic adjustments for the life of the mission. A three-axis attitude control subsystem will stabilize the satellite and keep the instrument pointed toward the Earth to within 0.05 degrees. Later this year, plans call for the NASA Earth Observation System (EOS) Terra (AM-l) observatory and the experimental EO-1 mission to closely follow Landsat-7's orbit to support synergistic research and applications from this new suite of terrestrial sensor systems. Landsat is the United States' oldest land-surface observation'satellite system, with satellites continuously operating since 1972. Although the program has scored numerous successes in scientific and resource-management applications, Landsat has had a tumultuous history of management and funding changes over its nearly 27-year history. Landsat-7 marks a new direction in the program to reduce the cost of data and increase systematic global coverage for use in global change research as well as commercial and regional applications. With the passage of the Land Remote Sensing Policy Act in 1992, oversight of the Landsat program began to shift from the commercial sector to the federal government. NASA integrated Landsat-7 into its EOS science program in 1994. Landsat-7 is managed and operated jointly by NASA and U.S. Geological Survey (USGS). As a result, the costs of acquiring observations from Landsat-7will decreasesignificantly from that experiencedwith Landsat's 4and 5. During the first 12to 15months of operation, thecostof asingleLandsat-7scenefrom theUSGSEarth ResourcesObservation Center(EROS)archivewill be$475.00for raw data (Level OR)and N$600.00for radiometrically and/or geometrically processed observations(Level 1Ror Level 1G). Thelaunch ofLandsat-7will initiate anew erain land remotesensing. The mission operations, for thefirst time, aredesignedtoaccumulateannually, aglobal, seasonally refreshed,essentiallycloud-free, US-heldarchive ofobservations. TheEROSData Center,in SiouxFalls,SouthDakotawill betherepository for this USarchive. TheUS global archive iscapableof accepting250scenes/day (>90,000scenesper year). Acquisitions for the USarchivewill beaccumulatedby anautomated Long Term Acquisition Plan(LTAP). TheNASA LandsatProjectScienceOffice, atthe Goddard SpaceFlight Center,developed this plan in cooperation with membersofthe NASA Landsat ScienceTeam. TheLTAP attemptstooptimize the quality ofacquisitions through consideration ofland seasonaldynamics andforecastedcloud conditions. Landsat 7operations areconfigured toacquire all scenesin theUnited States,including Alaska andHawaii. For other regionsof the globeobservationsareconcentratedin vegetation growing seasonswith reduced acquisitions during dormant periods and for major desertsand icesheets. Onceevery 24hourscloud coverforecastsareacquired from the National Oceanicand Atmospheric Administration. Theseforecastsare compared to local cloud coverclimatology todetermine next day acquisition priorities from among all thescenesspecifiedfor possibleacquisition that day, which is,on average,about400scenes.Pre-launchtestsof the LTAP produced complete global coveragewithin oneyearandresulted in reducedcloud contamination (Fig.2). In addition to theUSacquisitions, asmany as18-20international ground stations(IGS') areexpectedtosign agreementswith NASA andUSGStoreceivedirect broadcastof observations for their acquisition regions. Given theimplementation of the LTAP, the need for considering specialrequestsfor specificsceneacquisitions isminimized -- basically, if anareaishighly likely tobecloud-free, it will probably bescheduled for acquisition. Also, most ofthe IGS'will becollecting full coveragewithin their acquisition range. While the imagery collectedby the IGS' will beheld locally, metadataaretobeprovided routinely tothe EROSDataCenter,allowing usersto searchthe foreign archives. This combination ofsystematicUSglobal acquisitions and high volume international collectionswill provide arich new sourceof earth information for scientific researchandapplications1. Thereis no question that thenewly revitalized Landsat mission,with the deployment of Landsat-7, will serveasamajor stimulus for sciencediscoveriesandsuccessful applications in environmental andresourcemanagement.Throughout themission's history the diversity of applications developedfor Landsat makeit unique among Earth observation satellites. Imagesacquiredby Landsat satelliteswere usedto produce the first composite multi-spectral mosaicofthe 48contiguous United States. They have 1Annuallyt,heUSarchiveattheEROSDataCenteirsexpectetdoaccumulatoever90,00s0cenesI.n total,includingtheIGSoperationso,ver193,00s0cenesshouldbecollectedeachyear.Inanygivenyear thereareapproximatel3y10,00l0andscenepsossibleT.husLandsat-w7ill acquirebetterthan60%ofall possiblescenesw,hich,whenconsiderincgloudcoveri,saboutthenumberofgoodsceneasvailablefor Landsattoacquire. beenusedtomonitor deforestation,map theextent ofwinter snow pack,and measure forestcover atthe statelevel. In addition, Landsat hasbeenusedto locatemineral deposits,monitor strip mining andmining reclamation,and toassessnatural changes dueto fires and insectinfestations. With the substantial costreduction andsystematicacquisition strategy,Landsat observationswill, onceagain,becomethe foundation for both terrestrial researchand applications activities. Landsat fills acritical niche among NASA's earth observatories becauseit's combination of high spatial resolution (30m nominal), high quality radiometric andspectraldiscrimination, and 16day repeatcycleprovides aunique perspective toassessland coverdynamics atthescalewhere human activities are clearly evident. This information isof critical importance for global changeresearchers sincemany of the Earth systemchangesoriginate from human activities and many of the anticipated changeswill bemostsignificant to localhuman communities. Forregional andlocal applications ofremotesensingandGIStechnology, Landsat observationsalsoprovide the regional (andseasonal)contextwithin which to understand the local patterns revealedin both traditional and newly developed high spatial resolution sensorsandrelated geographicinformation. Many new sourcesof high spatial resolution observationswill shortly beavailable, including the 1-4m imagessupplied by SpaceImaging Corp. from their IKONOS sensor,aswell asaircraft measurementsbeing acquiredwith new electronicsystemssuchasthe Positive Systems electronic cameraandthe Intermap active radarsystem. A combination ofthesehigh spatial resolution observationswith Landsat realizesthe dreamof remotesensing scientiststo accomplishdetailed local assessmentswithin the contextof regional conditions. This multi-scale, geographicanalysisapproachis known to produce highly relevant andvaluable information aboutlocal conditions. However, to dateit had been exceptionally difficult to accesstheneededdatain atimely andcost-efficient manner. Thecombination of systematicLandsat observationsandcommercially-available high- resolution imagery realizesthis dream. An intriguing aspectof thenew Landsat-7program, for both the scienceand commercial applications communities, arethe newopportunities and challenges presentedby this mission. Theunique attributes ofthe Landsat-7mission include not just the improved sensorcapabilitiesbut, more importantly, the high volume availability of systematic,multi-temporal global observations. Experienceover the last quarter century with Landsat hasdemonstrated consistently that land feature discrimination issubstantially enhancedwith multi-temporal observations. The design anddevelopment ofanalytical systemsthat capturethis potential arenow waiting tobe innovated. Seriousproblems previously encountered in cloud covercontamination for someregionsof the globemay now beaddressedwith imagecompositing, a method not frequently applied toLandsat observations. With low-cost observationsit isnow feasibleto conduct large region studieswith 100's- 1000'sofscenes,rather than limiting applications toafew spot assessments.However, to do sowill require new approachesto handling, processingandanalysisofthe data,aswell asreporting the results. Thesedemandspush the frontiers ofboth computer technology and scientific understanding. Indeed thenew Landsat-7mission ispushing theboundaries ofscience and technology applications in earthsciencetoday asmuch asthe original NASA Earth ResourcesTechnology Satellite(Landsat-1)pushed thefrontiers of our understanding a quarter century ago. NASA recognizesthatmoderate resolution, multispectral observations,like thosefrom Landsat-7,will continue tobean important part of terrestrial monitoring. Currently, a variety of options arebeing consideredfor the provision ofthesedatato the user community. The Earth Observing -1 (EO-1)mission,part ofNASA's New Millennium Program, offersaglimpse atsomeof theadvancedtechnologiesthat may beapart of the post-Landsat-7era. Scheduledtolaunch in December,1999,EO-1will carry aboard anAdvanced Land Imager (ALI) pushbroom VNIR-SWIR multispectral sensor,the Hyperion hyperspectral sensor,and anew instrument designedtocollect thedata necessaryfor performing atmospheric correctionstothe ALI imagery. These technologiesoffer improved performance,aswell asconsiderablesavings in total weight and cost. Figure Captions: Figs. la and lb: (a) Landsat-5 Thematic Mapper image of Washington D.C. acquired in October, 1996. Like Landsat TM, ETM+ data will be characterized by fine (15-30 m) spatial resolution and complete multispectral coverage throughout the visible, near-, mid-, and thermal infrared. (b) Landsat-5 TM image of the Mt. St. Helens area in Oregon acquired in May, 1992. Here the TM data have been "draped" over a digital elevation model to render a three-dimensional view of how the mountain looks several years after the volcanic eruption. The vertical relief has been exaggerated by a factor of 2x. Using this technique, "fly by's" of entire regions can be created. Such products are used in flight simulation training. Fig. 2: Simulated acquisition pattern for one year of Landsat-7 operations, using Long- term Acquisition Plan (LTAP). The LTAP takes into account cloud-cover, seasonal vegetation patterns, and instrument gain changes to maximize acquisitions that characterize landcover changes around the globe. Dark red regions (including the United States) are acquired on every overpass (22 acquisitions/year), while yellow areas are acquired at least once each year. 4 '!Ir_ ' plum •

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