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With its high temporal resolution although low spatial resolution, MODIS data are useful to track changes in the landscape over time. Examples of such applications are the monitoring of vegetation health by means of time-series analyses with vegetation indices, long term land cover changes (e.g. to
149:
to 14.4 Ξm and at varying spatial resolutions (2 bands at 250 m, 5 bands at 500 m and 29 bands at 1 km). Together the instruments image the entire Earth every 1 to 2 days. They are designed to provide measurements in large-scale global dynamics including changes in Earth's
1765:
KUENZER, C, KLEIN, I., ULLMANN; T., FOUFOULA-GEORGIOU, E., BAUMHAUER, R., DECH, S., 2015: Remote
Sensing of River Delta Inundation: exploiting the Potential of coarse spatial Resolution, temporally-dense MODIS Time Series. Remote Sensing, 7,
352:
MODIS utilizes four on-board calibrators in addition to the space view in order to provide in-flight calibration: solar diffuser (SD), solar diffuser stability monitor (SDSM), spectral radiometric calibration assembly (SRCA), and a v-groove
1617:
LU, L., KUENZER, C., WANG, C., GUO, H., Li, Q., 2015: Evaluation of three MODIS-derived
Vegetation Index Time Series for Dry land Vegetation Dynamics Monitoring. Remote Sensing, 2015, 7, 7597â7614; doi:10.3390/rs70607597
1653:
GESSNER, U.; MACHWITZ, M.; ESCH, T.; TILLACK, A.; NAEIMI, V.; KUENZER, C.; DECH, S. (2015): Multi-sensor mapping of West
African land cover using MODIS, ASAR and TanDEM-X/TerraSAR-X data. Remote Sensing of Environment.
1775:
KLEIN, I., DIETZ, A., GESSNER, U., DECH, S., KUENZER, C., 2015: Results of the Global WaterPack: a novel product to assess inland water body dynamics on a daily basis. Remote
Sensing Letters, Vol. 6, No. 1,
1644:
LU, L., KUENZER, C., GUO, H., Li, Q., LONG, T., LI, X., 2014: A Novel Land Cover
Classification Map Based on MODIS Time-series in Nanjing, China. Remote Sensing, 6, 3387â3408; doi:10.3390/rs6043387
1626:
LEINENKUGEL; P., WOLTERS, M., OPPELT, N., KUENZER, C., 2014: Tree cover and forest cover dynamics in the Mekong Basin from 2001 to 2011. Remote
Sensing of Environment, Vol. 158, 376â392
17:
225:'s Remote Sensing Applications Center analyzes MODIS imagery on a continuous basis to provide information for the management and suppression of wildfires.
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KLEIN, I., GESSNER, U. and C. KUENZER, 2012: Regional land cover mapping in
Central Asia using MODIS time series. Applied Geography 35, 1â16
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2005:
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The MODIS instruments were built by Santa
Barbara Remote Sensing. They capture data in 36 spectral bands ranging in wavelength from 0.4
1915:â the next generation metadata and service discovery tool, which has replaced the former Warehouse Inventory and Search Tool (WIST);
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705 km, 10:30 a.m. descending node (Terra) or 1:30 p.m. ascending node (Aqua), Sun-synchronous, near-polar, circular
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1729:"Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data"
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The following MODIS Level 3 (L3) datasets are available from NASA, as processed by the
Collection 5 software.
2020:
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114:) is a satellite-based sensor used for earth and climate measurements. There are two MODIS sensors in
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monitor deforestation rates), global snow cover trends, water inundation from pluvial, riverine, or
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2017:
Python: accessing near real-time MODIS images and fire data from NASA's Aqua and Terra satellites
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MODIS Land
Product Subsetting Tool for North America from Oak Ridge National Laboratory
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Support and calibration is provided by the MODIS characterization support team (MCST).
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1667:; Riggs, George A; Salomonson, Vincent V; DiGirolamo, Nicolo E; Bayr, Klaus J (2002).
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This detailed, photo-like view of Earth is based largely on observations from MODIS.
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flooding in coastal areas, change of water levels of major lakes such as the
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134:(EOS PM) satellite, launched in 2002. MODIS has now been replaced by the
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2330 km (cross track) by 10 km (along track at nadir)
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10.6 Mbit/s (peak daytime); 6.1 Mbit/s (orbital average)
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and processes occurring in the oceans, on land, and in the
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250 m (bands 1â2) 500 m (bands 3â7) 1000 m (bands 8â36)
2012:
MODIS Sinusoidal: Projection 6842 â MODIS Sinusoidal
1979:â Google Gadget referring to MODIS image of the day.
1995:
MODIS Rapid Response system (near real time images)
1927:â Land Atmosphere Near real-time Capability for EOS
1727:; Riggs, George A.; Salomonson, Vincent V. (1995).
1723:
2083:
1803:"Satellite image shows Kincade fire burn scar"
30:"MODIS" redirects here. For the singular, see
1966:MODIS bands and spectral ranges (broken link)
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108:Moderate Resolution Imaging Spectroradiometer
18:Moderate-Resolution Imaging Spectroradiometer
2000:NASA OnEarth (Web service for MODIS imagery)
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277:(collimated), with intermediate field stop
138:, which first launched in 2011 aboard the
78:Solar irradiance spectrum and MODIS bands.
1829:"MODIS Active Fire Mapping Program FAQs."
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1801:Wigglesworth, Alex (6 November 2019).
1530:Image based on observations from MODIS
94:Exploded view of the MODIS subsystems.
1598:"MODIS Characterization Support Team"
1102:Land surface temperature/emissivity
1061:Land surface temperature/emissivity
1028:Land surface temperature/emissivity
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217:, and the detection and mapping of
24:
2067:. NASA Goddard Space Flight Center
2006:Visible Earth: Latest MODIS images
954:Aerosol, cloud water vapor, ozone
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1519:Nadir BRDF-adjusted reflectance
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86:External view of the MODIS unit.
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301:162.5 W (single orbit average)
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1947:â Earth land surface datasets;
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130:in 1999; and one on board the
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1983:Gallery of Images of Interest
1841:Retrieved: 30 September 2014.
1839:United States Forest Service.
1791:Retrieved: 30 September 2014.
1733:Remote Sensing of Environment
1693:10.1016/S0034-4257(02)00095-0
1673:Remote Sensing of Environment
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2027:Modis has 36 spectral bands
1952:ftp://n4ftl01u.ecs.nasa.gov/
1753:10.1016/0034-4257(95)00137-P
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223:United States Forest Service
7:
1944:http://e4ftl01.cr.usgs.gov/
1669:"MODIS snow-cover products"
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361:for vicarious calibration.
126:AM) satellite, launched by
62:near the Florida peninsula.
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221:in the United States. The
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2092:Satellite imaging sensors
1985:(archived 25 August 2001)
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1955:â snow and ice datasets.
1176:Thermal anomalies, fire
2002:(archived 12 July 2003)
1972:MODIS Images of the Day
1968:(archived 15 July 2007)
1789:NASA Earth Observatory.
2008:(archived 1 July 2006)
1991:(archived 27 May 2010)
1977:MODIS Image of the Day
1884:"MODIS Products Table"
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879:MODIS Level 3 datasets
252:20.3 rpm, cross track
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34:. For other uses, see
27:Payload imaging sensor
1786:"Shrinking Aral Sea."
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357:. MODIS has used the
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70:California wildfires.
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1542:Imaging spectroscopy
1351:Land cover dynamics
1299:Surface reflectance
1269:Surface reflectance
330:Temporal resolution
2045:on 20 November 2011
1935:â LAADS underlying
1834:2 July 2013 at the
1745:1995RSEnv..54..127H
1685:2002RSEnv..83..181H
1434:Vegetation indices
1400:Vegetation indices
1353:(global vegetation
1139:Vegetation indices
432:Land/cloud/aerosols
405:Land/cloud/aerosols
359:marine optical buoy
322:Spatial resolution
118:: one on board the
49:Kamchatka Peninsula
1961:Official NASA site
1577:"MODIS Components"
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285:1.0 Ã 1.6 Ã 1.0 m
188:. You can help by
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1890:on 11 August 2011
1808:Los Angeles Times
1557:Terra (satellite)
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777:Cloud properties
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60:Hurricane Katrina
51:, eastern Russia.
16:(Redirected from
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937:
934:
931:
928:
924:
921:
917:
916:
912:
909:
906:
903:
900:
897:
894:
891:
888:
887:
884:
866:
863:
860:
859:
855:
852:
849:
848:
844:
841:
838:
837:
828:
825:
822:
821:
817:
814:
811:
810:
805:Surface/cloud
801:
798:
795:
794:
787:
784:
781:
780:
773:
770:
767:
766:
762:
759:
756:
755:
751:
748:
745:
744:
739:Cirrus clouds
735:
732:
729:
728:
724:
721:
718:
717:
708:
705:
702:
701:
697:
694:
691:
690:
686:
683:
680:
679:
675:
672:
669:
668:
663:Surface/cloud
659:
656:
653:
652:
648:
643:
640:
635:
632:
629:
628:
624:
621:
618:
617:
613:
610:
607:
606:
597:
594:
591:
590:
586:
583:
580:
579:
575:
572:
569:
568:
564:
561:
558:
557:
553:
550:
547:
546:
542:
539:
536:
535:
531:
528:
525:
524:
520:
517:
514:
513:
509:
506:
503:
502:
494:
488:
485:
482:
481:
477:
474:
471:
470:
466:
463:
460:
459:
455:
452:
449:
448:
444:
441:
438:
437:
428:
425:
422:
421:
417:
414:
411:
410:
401:
398:
395:
394:
390:
385:
382:
377:
374:
371:
370:
362:
360:
356:
340:
337:
336:
332:
329:
328:
324:
321:
320:
316:
314:Quantization
313:
312:
308:
305:
304:
300:
297:
296:
292:
289:
288:
284:
281:
280:
276:
272:
269:
268:
263:
259:
256:
255:
251:
248:
247:
243:
240:
239:
234:
226:
224:
220:
216:
212:
200:
191:
187:
184:This section
182:
179:
175:
174:
166:
163:
161:
157:
153:
148:
143:
141:
137:
133:
129:
125:
121:
117:
113:
109:
100:
92:
84:
76:
68:
61:
57:
50:
45:
41:
37:
33:
19:
2071:15 September
2069:. Retrieved
2059:
2047:. Retrieved
2043:the original
2033:
2026:
1892:. Retrieved
1888:the original
1878:
1866:. Retrieved
1857:
1846:
1838:
1824:
1812:. Retrieved
1806:
1796:
1788:
1781:
1771:
1761:
1736:
1732:
1719:
1676:
1672:
1659:
1649:
1640:
1631:
1622:
1613:
1601:. Retrieved
1592:
1580:. Retrieved
1571:
1431:Terra, Aqua
1419:
1412:
1397:Terra, Aqua
1385:
1378:
1371:
1364:
1352:
1296:Terra, Aqua
1284:
1266:Terra, Aqua
1248:
1241:
1235:Description
1229:Time window
1205:Burned area
1173:Terra, Aqua
1152:
1145:
1136:Terra, Aqua
1124:
1114:
1099:Terra, Aqua
1087:
1074:
1067:
1058:Terra, Aqua
1034:
1025:Terra, Aqua
1004:
997:
988:Terra, Aqua
967:
960:
951:Terra, Aqua
939:
926:
919:
913:Description
882:
807:temperature
785:9.580â9.880
771:8.400â8.700
760:7.175â7.475
749:6.535â6.895
741:water vapor
733:1.360â1.390
722:4.482â4.549
714:temperature
706:4.433â4.498
695:4.020â4.080
684:3.929â3.989
673:3.929â3.989
665:temperature
657:3.660â3.840
649:Primary use
603:water vapor
391:Primary use
351:
338:Design life
207:
194:
190:adding to it
185:
169:Applications
164:
144:
111:
107:
105:
40:
1925:LANCE-MODIS
1913:ECHO Reverb
1516:Terra+Aqua
1490:Terra+Aqua
1457:Terra+Aqua
1348:Terra+Aqua
1322:Terra+Aqua
1202:Terra+Aqua
991:Snow cover
712:Atmospheric
601:Atmospheric
493:Ocean color
434:properties
407:boundaries
365:MODIS bands
348:Calibration
265:Dimensions
152:cloud cover
142:satellite.
116:Earth orbit
2086:Categories
2049:7 November
1937:FTP server
1814:7 November
1563:References
1223:0.05° CMG
1133:0.05° CMG
1096:0.05° CMG
874:MODIS data
644:Resolution
634:Wavelength
475:2105â2155
464:1628â1652
453:1230â1250
386:Resolution
376:Wavelength
355:black body
333:1â2 days
306:Data rate
270:Telescope
249:Scan rate
1919:LAADS Web
1868:11 August
1766:8516â8542
1711:129808147
1582:11 August
1355:phenology
1232:Platform
910:Platform
834:altitude
832:Cloud top
140:Suomi NPP
1851:NASA.gov
1832:Archived
1536:See also
1507:MCD43C4
1504:MCD43B4
1501:MCD43A4
1481:MCD43C3
1478:MCD43B3
1475:MCD43A3
1448:MCD43C1
1445:MCD43B1
1442:MCD43A1
1428:Monthly
1333:MCD12Q2
1313:MCD12C1
1307:MCD12Q1
1193:MCD45A1
901:Monthly
622:915â965
611:931â941
595:890â920
584:862â877
573:743â753
562:673â683
551:662â672
540:546â556
529:526â536
518:483â493
507:438â448
486:405â420
442:545â565
426:459â479
415:841â876
399:620â670
341:6 years
317:12 bits
215:Aral Sea
1894:12 June
1741:Bibcode
1681:Bibcode
1654:282â297
1603:18 July
1513:16-day
1493:Albedo
1487:16-day
1454:16-day
1394:16-day
1345:Yearly
1319:Yearly
1287:D09CMG
1226:1° CMG
948:1° CMG
942:D08_M3
929:D08_E3
922:D08_D3
904:Yearly
898:32-day
895:16-day
290:Weight
2021:Python
1709:
1465:albedo
1422:D13C2
1415:D13A3
1388:D13C1
1381:D13A2
1374:D13A1
1367:D13Q1
1293:Daily
1263:8-day
1251:D09A1
1244:D09Q1
1155:D14A2
1148:D14A1
1127:D13C2
1117:D13C1
1090:D11C3
1077:D11C2
1070:D11C1
1037:D11B1
1007:D11A2
1000:D11A1
970:D10A2
963:D10A1
892:8-day
889:Daily
791:Ozone
298:Power
275:afocal
257:Swath
241:Orbit
1776:78â87
1707:S2CID
907:Grid
867:1000
856:1000
845:1000
829:1000
818:1000
802:1000
788:1000
774:1000
763:1000
752:1000
736:1000
725:1000
709:1000
698:1000
687:1000
676:1000
660:1000
630:Band
625:1000
614:1000
598:1000
587:1000
576:1000
565:1000
554:1000
543:1000
532:1000
521:1000
510:1000
489:1000
372:Band
282:Size
136:VIIRS
120:Terra
112:MODIS
36:Modis
2097:NASA
2073:2014
2051:2011
1896:2011
1870:2015
1816:2019
1605:2015
1584:2015
1461:BRDF
646:(m)
478:500
467:500
456:500
445:500
429:500
418:250
402:250
388:(m)
132:Aqua
128:NASA
106:The
32:Modi
1749:doi
1697:hdl
1689:doi
861:36
850:35
839:34
823:33
812:32
796:31
782:30
768:29
757:28
746:27
730:26
719:25
703:24
692:23
681:22
670:21
654:20
619:19
608:18
592:17
581:16
570:15
559:14
548:13
537:12
526:11
515:10
192:.
162:.
124:EOS
2088::
1805:.
1747:.
1737:54
1735:.
1731:.
1705:.
1695:.
1687:.
1677:83
1675:.
1671:.
1510:â
1498:â
1484:â
1472:â
1451:â
1439:â
1425:â
1408:â
1405:â
1391:â
1357:)
1342:â
1339:â
1336:â
1330:â
1316:â
1310:â
1304:â
1290:â
1280:â
1277:â
1274:â
1260:â
1257:â
1254:â
1196:â
1190:â
1187:â
1184:â
1181:â
1167:â
1164:â
1161:â
1158:â
1130:â
1120:â
1110:â
1107:â
1093:â
1083:â
1080:â
1052:â
1049:â
1046:â
1043:â
1040:â
1019:â
1016:â
1013:â
1010:â
982:â
979:â
976:â
973:â
945:â
935:â
932:â
641:)
639:Ξm
504:9
483:8
472:7
461:6
450:5
439:4
423:3
412:2
396:1
383:)
381:nm
154:,
147:Ξm
2075:.
2053:.
2023:)
2019:(
1939:;
1898:.
1872:.
1818:.
1755:.
1751::
1743::
1713:.
1699::
1691::
1683::
1607:.
1586:.
1463:/
1420:x
1418:M
1413:x
1411:M
1386:x
1384:M
1379:x
1377:M
1372:x
1370:M
1365:x
1363:M
1285:x
1283:M
1249:x
1247:M
1242:x
1240:M
1153:x
1151:M
1146:x
1144:M
1125:x
1123:M
1115:x
1113:M
1088:x
1086:M
1075:x
1073:M
1068:x
1066:M
1035:x
1033:M
1005:x
1003:M
998:x
996:M
968:x
966:M
961:x
959:M
940:x
938:M
927:x
925:M
920:x
918:M
637:(
495:/
379:(
199:)
195:(
122:(
110:(
38:.
20:)
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