Welcome toNASA Applied Remote Sensing Training (ARSET) Webinar Series Introduction to NASA Earth Science Data Products, Portals, and Tools Course Dates:16, 23, 30 September and 7, 14 October 2014 Time: 8 to 9 am Eastern US time ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences 1 Important Informanon resentanons UkL: hup://arseL.gsfc.nasa.gov/ Contact for kequesnng kecorded L|nk for the Web|nars: Marlnes Maruns :marlnes.maruns[ssalhq.com 2 ast resentanonshup://arseL.gsfc.nasa.gov/ Week 1 Week 2 NASA Data Products Course Outline NASA Data App||canons w|th GIS D|sasters and Land kesource ManagementNASA Earth Science M84 NASA Data Centers Week 3 Week 4& Week S Week S Cut||ne NASA Data for D|sasters and Land kesources Management 3

!Data, Webs|tes, 1oo|s !L|ve Demonstranons of: Clobol llooJ Mooltotloq 5ystem (ClM5) MOul5 loooJouoo Mopploq 1ool (wltb Cl5) CO-ClAM/ctop Mooltot looJsotlook Water]Land kesources hup://www.ready.gov hup://www.ready.gov Weather & C||mate D|sasters D|saster Management LarLhquake 1sunamls volcanoes LlghLnlng Wlld llre Purrlcanes LxLreme 8aln/Severe WeaLher I|ood|ng Landslldes uroughL Llve uemoSate|||tes]Sensors for D|sasters Sate|||teSensorsuannnes (D|sasters) TRMM/ (GPM)* Precipitation Radar (PR) /DPR TRMM Microwave Imager (TMI) /GMI Visible Infrared Scanner (VIRS) Lightening Imaging Sensor (LIS) Rain Rate, Vertical Rain Rate Profile, Accumulated Rain, Soil Moisture (Extreme Rain, Floods, Drought, Tropical Cyclones, Lightening) Terra and Aqua MODerate Resolution Imaging Spectroradiometer (MODIS)

Snow Cover, Clouds, Reflectance, Vegetation Index, Land Cover (Inundation, Fire Detection, Volcanic Ash,Drought) Aqua Atmospheric Infrared Sounder (AIRS) 3-dimensional Atmospheric Temperature and Humidity, clouds (Extreme Weather, Storms, Extreme Heat) * Launched on lebruary 27, 2014 wlLh CM Mlcrowave lmager (CMl)and uual lrequency reclplLauon 8adar (u8) Sate|||tes]Sensors for D|sasters Sate|||teSensorsuannnes (D|sasters) Landsat(Enhanced) Thematic Mapper(ETM)Vegetation Index, Leaf Area Index, Land Cover (Drought, Fire) GraceK-Band Ranging Assembly Terrestrial Water (Drought) 8adraSaL, LnvlSA1, L8S-1 and -2 Global Positioning Satellite Synthetic Aperture Radar (SAR)Crustal Deformation (Earthquakes, Tsunamis) TerraAdvanced Spaceborne 1hermal Lmlsslon and 8eecuon 8adlomeLer (AS1L8) Surface Kinetic Temperature andEmissivity, Surface Radiance (VNIR,SWIR)*, Digital Elevation Model (Volcanoes, Floods) * vlslble and near lnfrared (vnl8) and ShorLwave lnfrared (SWl8)Larthquakes hup://solldearLh.[pl.nasa.gov/ G|oba| Larthquake Sate|||te System (GLSS) - future p|an to bu||d conste||anon tomon|tor fau|t systemshup://solldearLh.[pl.nasa.gov/CLSS/CLSS_8ep_2003_20_?r_lan.pdf ueformauon, LcosysLem SLrucLure, and uynamlcs of lce (uLSuynl) LarLh's surface and lnLerlor are undergolng a consLanL process of change. varlauons ln Lhe lce sheeLs and land cover lmpacL Lhe cllmaLe and Lhe envlronmenL. vlolenL evenLs such as earLhquakes, volcanlc erupuons, landslldes, and oods reshape Lhe surface and pose slgnlcanL hazards. uLSuynl ls a proposed dedlcaLed u.S. lnSA8 and LluA8 mlsslon opumlzed for sLudylng hazards and global envlronmenLal change. hup://desdynl.[pl.nasa.gov Larthquakes Muluple 8esearch-Lo-Appllcauon ro[ecLs belng supporLed by nASA Lo map crusLal deformauon by uslng saLelllLe daLa hup://solldearLh.[pl.nasa.gov/ACLS/quake04.hLml Lxample shown ln Lhe nexL sllde Larthquakes hup://www-radar.[pl.nasa.gov/lnsar4crusL SynLheuc AperLure 8adar (SA8) and Clobal osluonlng SaLelllLe(CS) are used Lo map crusLal deformauon InSAk v|ew of the Lastern Ca||forn|a Shear 2onelrom Cllles elLzer , !L, uCLASAk Sate|||tes: kadraSat, LNVISA1, LkS-1 and -2 1sunam|s hups://earLhdaLa.nasa.gov/daLa/daLa-cenLers/cddls 1sunam|s hups://earLhdaLa.nasa.gov/daLa/daLa-cenLers/cddls keferences: nASA CrusLal uynamlcs uaLa lnformauon SysLem. updaLed dally. Clobal navlgauon SaLelllLe SysLem (CnSS) uaLa Archlve. CreenbelL, Maryland uSA. Song, ?. 1. 2007. ueLecung Lsunaml genesls and scales dlrecLly from coasLal CS sLauons. Ceophyslcal 8esearch Leuers 34, dol:10.1029/2007CLC31681. Song, ?. 1., l. lukumorl, C. k. Shum, and ?. ?l. 2012. Merglng Lsunamls of Lhe 2011 1ohoku-Ckl earLhquake deLecLed over Lhe open ocean. Ceophyslcal 8esearch Leuers 39, dol:10.1029/2011CLC030767. Clobal navlgauon SaLelllLe SysLems (CnSSs) 1sunam|s hups://earLhdaLa.nasa.gov/daLa/daLa-cenLers/cddls uaLa from CnSS/Clobal osluonlng SaLelllLe CS daLa used Lo deLecL Lsunaml severlLy and dlrecuon aer an earLhquake. 1esLed Lhe Lechnlque forLhree hlsLorlc earLhquakes and predlcLed Lhe resulung Lsunamls: (a) Lhe 2004 lndlan Ccean Lsunaml Lwo hours aer Lhe quake, (b) Lhe 1964 Alaska Lsunaml Lwo hours aer Lhe quake, and (c) Lhe 2003 nlas Lsunaml one hour aer Lhe quake.lnk arrows are Lhe CS dlsplacemenL CourLesy: 1. Song, 2007, Ceophyslcal 8esearch Leuers, 34, dol:10.1029/2007CLC31681. Vo|canoeshup://ava.[pl.nasa.gov/ uSLS AS1L8 vnl8, 1l8 Lo map volcanoes 8ecenL volcanlc Acuvlues 1erra]AS1Lk Image of Vo|cano Cver New 2ea|and on Cctober 8, 2014 hup://ava.[pl.nasa.gov/ Mapplng ln Coogle LarLh L|ghtn|ng hup://Lhunder.msfc.nasa.gov/daLa/ Clobal Pydrology CllmaLe CenLer (CPCC) LlghLenlng lmaglng Sensor (LlS) uaLa from 18MM SaLelllLeL|ghtn|ng hup://Lhunder.nssLc.nasa.gov/lls/ 1he LlghLnlng lmaglng Sensor (LlS) on-board 18MM deLecLs llghLnlng over Lhe Lroplcs G|oba| I|re Detecnon (1erra & Aqua) hups://earLhdaLa.nasa.gov/labs/worldvlew/ nurr|canes, Lxtreme ka|n, and I|ood|ng nurr|cane (ka|nfa||) hup://Lrmm.gsfc.nasa.gov/publlcauons_dlr/mulu_resource_Lroplcal.hLml 1racklngPurrlcanes/1yphoons/1roplcal Cyclones Mapplng Peavy 8aln Areas MonlLorlng lnLenslLy nurr|cane hup://Lrmm.gsfc.nasa.gov/publlcauons_dlr/mulu_resource_Lroplcal.hLml 8ecenL Super 1yphoon vongfongnear !apan seen from 18MM on 9Lh CcLober 2014 1kMM tracks w|despread ra|nfa|| assoc|ated w|th recent trop|ca| systems 8ecenL lndlan Ccean Cyclone Pudhud seen from 18MM on 10Lh CcLober 2014 nurr|cane hup://www.nasa.gov/mlsslon_pages/hurrlcanes/maln/lndex.hLml#.vudCgeduSlC nurr|canes and Cyc|ones Cbserved by D|erent NASA M|ss|ons18MMralnfall and hurrlcane lnformauon used operauonally, ln addluon Lo oLher producLs, by CuACSG|oba| D|saster A|ert and Coord|nanonSystem (GDACS)hup://www.gdacs.org Larthquakes, I|oods, 1rop|ca| Cyc|ones !TRMM Current Heavy Rain, Flood and Landslide Estimation http://trmm.gsfc.nasa.gov/publications_dir/potential_flood_hydro.html !Global Flood Monitoring System (GFMS) http://http://flood.umd.edu/ Tropical Rainfall Measuring Mission (TRMM)-based Flooding Tools 1hese Lools use 18MM near-real ume ralnfall as lnpuL Lo hydrology models Lo dlagnose oodlng condluons Lxtreme ka|n, Lands||de, andI|ood|ng hup://Lrmm.gsfc.nasa.gov/publlcauons_dlr/poLenual_ood_hydro.hLml Can Zoom-ln Lo any reglon Can be vlewed ln Coogle LarLh 24-hour lorecasL based on nCAA and nASA forecasL models avallable Global Flood Monitoring System (GFMS) http://flood.umd.edu Provides global maps, time series, animation (50S-50N) of: Instantaneous Rain Accumulated rain over 24, 72, and 168 hours Stream flow rates and flood detection at 1/8th degree (~12km) spatial resolution Global Flood Monitoring System (GFMS) http://flood.umd.edu !Inputs: 1kMM and Mu|n-sate|||te rec|p|tanon (1MA) Surface temperature and w|nds from MLkkA !8uno generauon from u. WashlngLonLand Surface Model (varlable lnlLrauon CapaclLy) !8uno rouung model from u. Maryland Spaual Selecuon 1emporal Selecuon Inundation Mapping Tools based on MODIS Dartmouth I|ood Cbservatory hup://oodobservaLory.colorado.edu/ MCulS daLa are used Lo map lnundauon

LxperlmenLal, 8lver ulscharge avallable from saLelllLe (aqua, 18MM, CCCM-W) daLaMCDIS Inundanon Mapp|ng hup://oas.gsfc.nasa.gov/oodmap/ 10x10 MCDIS Inundanon Mapp|ng Archive Availablepng, kmz, geotiff images available 10-day Sequencing Composite Map hup://oas.gsfc.nasa.gov/oodmap/ Severe Flooding in Bolivia January-March 2014 Live Demo : GFMS and MODIS Inundation ToolImporting MODIS Surface Water Data in GIS (Photograph 2006 Stefan Gara. Lco|og|ca| Iorecasts us|ng Sate|||te data products and mode|s 1o |dennfy d|sturbances that threaten the extent and funcnon of ecosystems Lcosystem Management by po||cy and dec|s|on makers Crowlng populauons Less naLural resources Changlng cllmaLe urban growLh ---------------------------------------------------------------------------------- PablLaL loss uecllnlng blodlverslLylnvaslve specles ueserucauon ueforesLauon 5ootce. www.lclJ.otq 5ootce. polotbeotslotetoouoool.otq 5ootce. oototemopploqfoooJouoo.otq Land Management Issues Mon|tor|ng Lcosystem Change nASA LarLh sclence quesuons wlLh respecL Lo ecosysLems: Pow are global ecosysLems changlng ln exLenL and funcuon? Pow do ecosysLems respond Lo and aecL global envlronmenLal change and Lhe carbon cycle? CllmaLe change: AlLhough cllmaLe change ls a global phenomenon.. 1he eecLs of cllmaLe change on ecosysLems are local and heLerogeneous NASA Sate|||te Instruments for Land kesources Management SaLelllLeSensor(s)Appllcauons LandsaL (4, 3, 7, 8, LuCM) LandsaL 1M, L1M+, Cperauonal Land lmager (CLl), 1hermal lnfrared Sensor (1l8S) AgrlculLural Lmclency, Carbon Cycle, CoasLal ManagemenL, Lcologlcal lorecasung, lnvaslve Specles MonlLorlng 1erra, AquaMCueraLe 8esoluuon lmaglng SpecLroradlomeLer (MCulS) AgrlculLural Lmclency, Carbon ManagemenL, Lcologlcal lorecasung, CoasLal ManagemenL LC-1Pyperlon, Advanced Land lmager (ALl) AgrlculLural Lmclency, Carbon ManagemenL, Lcologlcal lorecasung, CoasLal ManagemenL Suoml nvlslble lnfrared lmager 8adlomeLer SulLe (vll8S) Carbon Cycle, LcosysLems, and 8logeochemlsLry, CllmaLe varlablllLy and Change Mon|tor|ng Lcosystem Change w|th Sate|||te Imagery ! ldenufy LandsaL derlved land cover MonlLor change over ume Whlle land cover can be observed on Lhe ground or by alrplane, Lhe mosL emclenL way Lo map lL ls from space.Source: nASA LarLh CbservaLory urban growLh from 1976, 1989 Lo 2004 ln !akarLa, lndonesla hup://www.mrlc.gov/nlcd2011.php Land Cover Change Detecnon by Sate|||tes can be App||ed to: ueforesLauon assessmenLs vegeLauon phenology by vegeLauon lndlces MonlLor urban growLh loresL dlsLurbance assessmenLs lnvaslve specles monlLorlng Land Cover ldenucauon Lcologlcal resLorauon PablLaL sulLablllLy assessmenLs 8ark beeLle lnfesLauon ln Colorado beLween 2003 and 2011 5ootce. eottbobsetvototy.ooso.qov Sate|||te Data App||canons:Spec|es Conservanon and nab|tat Su|tab|||ty !Couon-Lop Lamarln !Crlucally Lndangered (luCn) !ueforesLauon, urbanlzauon !LandsaL lmagery and land cover!PlsLorlcal range versus currenL and pro[ecLed land use, land cover !roposed areas for resLorauon, preservauon, hablLaL corrldors 8y uLvLLC , posLed on AugusL 3rd, 2014 ln uLvLLC Summer 2014 vS ro[ecL 1eam: Colombla Lcologlcal lorecasung 1eam 1eam Locauon: unlverslLy of Ceorgla, ALhens, Ceorgla Northwest Colombia Lcosystem Iuncnon and Serv|ces rovlslonlng Servlces !food !wood !fuel !freshwaLer !medlclnes !hablLaL for blodlverslLy !geneuc dlverslLy 8egulaung Servlces !alr quallLy regulauon !waLer lLrauon !prevenLs coasLal eroslon !carbon sequesLrauon !nuLrlenL cycllng !polllnauon hup://www.envlronmenLmagazlne.org/sebln/v/x/ecosysLem-phoLo2.[pghup://devoLeddads.les.wordpress.com/2007/10/LreerooLs.[pg kemote Sens|ng App||canons: Lcosystem Iuncnon and Serv|ces Carbon SequesLrauon !MCulS Leaf Area lndex and neL rlmary roducuon CoasLal proLecuon, 8lodlverslLy !LandsaL, MCulS lmagery and land cover maps !Sea surface LemperaLure Lcosystem Iorecasnng can be App||ed to G|oba| Conservanon In|nanves 8Luu + acuvlues PablLaL SulLablllLy, Specles Conservauon LcosysLem 8lsk AssessmenLs CllmaLe Change lorecasung/ Mlugauon LcosysLem Servlce Accounung LcosysLem 8esLorauon Where to Cbta|n MCDIS Land roducts !LCnC keverb hup://reverb.echo.nasa.gov !Data Subsemng and V|sua||zanon: Cakr|dge Nanona| Lab DAAC (CkNL DAAC)hup://daac.ornl.gov !GLCI hup://www.landcover.org/daLa/lc !GLCVIS hup://glovls.usgs.gov !V|sua||zanon: SLkVIkhups://www.servlrglobal.neL/Clobal/MapsuaLa/lnLeracuveMapper.aspx Clovls hup://glovls.usgs.gov Where to Cbta|n Landsat ImagesLarLh Lxplorer hup://earLhexplorer.usgs.gov/ 1he LandsaLLook vlewer hup://landsaLlook.usgs.gov/ Clobal Land Cover laclllLy hup://glcfapp.glcf.umd.edu SaLelllLe uaLa can be applled Lo agrlculLure: !lor susLalnable and producuve agrlculLural pracuces and lncreased food securlLy !1o assess waLer avallablllLy and droughL forecasung !Appllcauon of vegeLauon lndlces, soll molsLure and ralnfall daLa for lncreased crop ylelds, soll conservauon Agr|cu|ture 1ypes of Drought Meteorological Drought: Deficient rainfall overspecific period Agricultural Drought: precipitation shortages resulting in soil moisture deficits, reduced vegetation/crop. Hydrological Drought: depletion of surface or subsurface water supply i.e., streamflow, reservoir and lake levels, groundwater. PealLh of crops, monlLor sLages of growLh (phenology), poLenual yleld, soll condluons, lnvaslve specles or sLress exLenL ulrecL humanlLarlan eorLs due Lo forecasLed droughL uaLa producLs: LandsaL lmagery Soll MolsLureMCulS nuvl/Lvl LvapoLransplrauon 18MM ralnfall raLes Agr|cu|tura| App||canons of NASA Data roducts SaLelllLeSensor(s) 18MM1Ml, 8 LandsaL 7LandsaL L1M+ LandsaL 8 (LuCM) Cperauonal Land lmager (CLl), 1hermal lnfrared Sensor (1l8S) 1erra, AquaMCueraLe 8esoluuon lmaglng SpecLroradlomeLer (MCulS) 1erraAS1L8 LC-1Pyperlon, Advanced Land lmager (ALl) Suoml nvll8S ! NDVI (normallzed ulerence vegeLauon lndex): 8auo beLween Lhe red and Lhe near-lnfrared bands ! LVI (Lnhanced vegeLauon lndex): Addluon of Lhe blue band Lo accounL for aLmosphere ! used for: droughL monlLorlng, phenology (umlng of vegeLauon green-up) MCDIS Land roducts: Vegetanon Ind|ces vegeLauon lndex daLa demonsLraLes parL of Lhe seasonal cycle ln Lhe conuguous uS durlng Lhe rsL half of 2001 CredlL: nASA/CSlC/unlverslLy of Arlzona NDVI (Vegetation Index) to monitor crop health !Comparing the NDVI (or greenness) of crops can assist in determining irrigation plans and precision farming !1o deLermlne LhaL Lhe locauons of sLress on crops (lack of waLer, soll molsLure, lnsecLs, dlsease) !nuvl and surface LemperaLure daLa lnformauon Lo lnform nexL year planung pracuces !PlndcasL, or use pasL observauons Lo deLermlne besL pracuces Landsat Imagery !1o deLermlne proper crop locauon, lrrlgauon needs, placemenL of ferullzer !LandsaL 8and Comblnauon: 4-3-2 (near lnfrared, red, and green bands) !Maxlmlze ylelds hup://www.nasa.gov/mlsslon_pages/landsaL/news/sweeL-spoL_prL.hLm Agr|cu|tura| Drought krlshna 8lver 8asln, lndla SaLelllLe daLa: LandsaL Lnhanced 1hemauc Mapper (L1M) lmagery 1erra AS1L8 uLM (elevauon) Soll molsLure, preclplLauon Comblned wlLh dralnage denslLy and soll Lype layers ln ClS can be used Lo creaLe droughL vulnerablllLy maps Sreedhar eL al., 2012 Data Access and orta|s for down|oad and V|sua||zanon G|ovann| (hup:]]d|sc.sc|.gsfc.nasa.gov]g|ovann|) soll molsLure, evapoLransplrauon, ralnfall raLe, runo, snowmelL L DAAC, CNkL DAAC, LandsatLook V|ewer (hups:]]|pdaac.usgs.gov], hup:]]daac.orn|.gov], hup:]]|andsat|ook.usgs.gov]) neL prlmary producuon, Lvl/nuvl, LandsaL SpecLral 8ands G|oba| Agr|cu|ture Mon|tor|ng (GLAM) ro[ect (hup:]]pekko.geog.umd.edu]usda]beta]) Crop Lxp|orer (hup:]]www.pecad.fas.usda.gov]cropexp|orer]) SLkVIk G|oba|(hups:]]www.serv|rg|oba|.net]) Live Demonstration of:

> GEO-GLAM/Crop Monitor > LandsatLook Summary of the Web|nar Introduction to NASA Earth Science Data Products, Portals, and Tools We used many acronyms !Acronym D|rectory: hup://gcmd.gsfc.nasa.gov/learn/faqs/acronyms.hLml A |ot of lnLroducLorylnformauon and overvlew of daLa and Lools ln ve 1-hour sesslons!Week-1: (hup:]]sc|ence.nasa.gov]earth-sc|ence] NASA Larth Sc|ence: CllmaLe SysLem 8esearch 1echnology uevelopmenL " Many SaLelllLe Mlsslons, LarLh SysLem Models Appllcauons for SocleLal 8eneLsCapaclLy 8ulldlng and 1ralnlngs, AbouL A8SL1 Week-2: !G|oba|Change Master D|rectory) hup://gcmd.gsfc.nasa.gov/lndex.hLml Data for Lnv|ronmenta| App||canons: !"#$%&'()* ,$'-)* ./#01&(-)*23(3 ,-3#'45 Alt Ooolltyulsostets co-fotecosuoq ooJ looJ Moooqemeot wotet kesootces SummaryWeek-3: hups:]]earthdata.nasa.gov] nASA's LarLh Cbservlng SysLemuaLa and lnformauon SysLem (LCSulS) NASA Data Centers, Data Access, Ana|ys|s, V|sua||zanon 1oo|s 12 Data Centers near-real 1lme uaLa Access and vlsuallzauon 1ools LANCL Wor|dv|ew keverb-LCnC 8emoLe Senslng and Modell uaLa Archlve M|rador G|ovann| NSIDC CALISC Search and Subsemng LAADS Web USGS - L DAAC, LarthLxp|orer, G|oVIS CkNL C DAAC Data D|scovery SummaryWeek-4 & S :Data roducts, 1oo|s, App||canons, L|ve Demo |nc|ud|ng GIS App||canons for: .0# 6&370(8* 93(-# :-)$'-)* 20)3)(-#)* ;'$