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Moderate Resolution Imaging Spectroradiometer - Wikipedia

From Wikipedia, the free encyclopedia

Payload imaging sensor

"MODIS" redirects here. For the singular, see

Modi

. For other uses, see

Modis

.

Ash plumes on Kamchatka Peninsula, eastern Russia. Hurricane Katrina near the Florida peninsula. California wildfires. Solar irradiance spectrum and MODIS bands. External view of the MODIS unit. Exploded view of the MODIS subsystems. This detailed, photo-like view of Earth is based largely on observations from MODIS.

The Moderate Resolution Imaging Spectroradiometer (MODIS) is a satellite-based sensor used for earth and climate measurements. There are two MODIS sensors in Earth orbit: one on board the Terra (EOS AM) satellite, launched by NASA in 1999; and one on board the Aqua (EOS PM) satellite, launched in 2002. Since 2011, MODIS operations have been supplemented by VIIRS sensors, such as the one aboard Suomi NPP. The systems often conduct similar operations due to their similar designs and orbits (with VIIRS data systems deisgned to be compatible with MODIS), though they have subtle differences contributing to similar but not identical uses.[1][2]

The MODIS instruments were built by Santa Barbara Remote Sensing.[3] They capture data in 36 spectral bands ranging in wavelength from 0.4 μm to 14.4 μm 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 cloud cover, radiation budget and processes occurring in the oceans, on land, and in the lower atmosphere.

Support and calibration is provided by the MODIS characterization support team (MCST).[4]

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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,[5] long term land cover changes (e.g. to monitor deforestation rates),[6][7][8][9] global snow cover trends,[10][11] water inundation from pluvial, riverine, or sea level rise flooding in coastal areas,[12] change of water levels of major lakes such as the Aral Sea,[13][14] and the detection and mapping of wildland fires in the United States.[15] The United States Forest Service's Remote Sensing Applications Center analyzes MODIS imagery on a continuous basis to provide information for the management and suppression of wildfires.[16]

Specifications Orbit 705 km, 10:30 a.m. descending node (Terra) or 1:30 p.m. ascending node (Aqua), Sun-synchronous, near-polar, circular Scan rate 20.3 rpm, cross track Swath 2330 km (cross track) by 10 km (along track at nadir) Dimensions Telescope 17.78 cm diam. off-axis, afocal (collimated), with intermediate field stop Size 1.0 × 1.6 × 1.0 m Weight 228.7 kg Power 162.5 W (single orbit average) Data rate 10.6 Mbit/s (peak daytime); 6.1 Mbit/s (orbital average) Quantization 12 bits Spatial resolution 250 m (bands 1–2) 500 m (bands 3–7) 1000 m (bands 8–36) Temporal resolution 1–2 days [17] Design life 6 years

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 black body.[18] MODIS has used the marine optical buoy for vicarious calibration.

Band Wavelength
(nm) Resolution
(m) Primary use 1 620–670 250 Land/cloud/aerosols
boundaries 2 841–876 250 3 459–479 500 Land/cloud/aerosols
properties 4 545–565 500 5 1230–1250 500 6 1628–1652 500 7 2105–2155 500 8 405–420 1000 Ocean color/
phytoplankton/
biogeochemistry 9 438–448 1000 10 483–493 1000 11 526–536 1000 12 546–556 1000 13 662–672 1000 14 673–683 1000 15 743–753 1000 16 862–877 1000 17 890–920 1000 Atmospheric
water vapor 18 931–941 1000 19 915–965 1000 Band Wavelength
(μm) Resolution
(m) Primary use 20 3.660–3.840 1000 Surface/cloud
temperature 21 3.929–3.989 1000 22 3.929–3.989 1000 23 4.020–4.080 1000 24 4.433–4.498 1000 Atmospheric
temperature 25 4.482–4.549 1000 26 1.360–1.390 1000 Cirrus clouds
water vapor 27 6.535–6.895 1000 28 7.175–7.475 1000 29 8.400–8.700 1000 Cloud properties 30 9.580–9.880 1000 Ozone 31 10.780–11.280 1000 Surface/cloud
temperature 32 11.770–12.270 1000 33 13.185–13.485 1000 Cloud top
altitude 34 13.485–13.785 1000 35 13.785–14.085 1000 36 14.085–14.385 1000 MODIS Level 3 datasets[edit]

The following MODIS Level 3 (L3) datasets are available from NASA, as processed by the Collection 5 software.[19]

Daily 8-day 16-day 32-day Monthly Yearly Grid Platform Description MxD08_D3 MxD08_E3 — — MxD08_M3 — 1° CMG Terra, Aqua Aerosol, cloud water vapor, ozone MxD10A1 MxD10A2 — — — — 500 m SIN Terra, Aqua Snow cover MxD11A1 MxD11A2 — — — — 1000 m SIN Terra, Aqua Land surface temperature/emissivity MxD11B1 — — — — — 6000 m SIN Terra, Aqua Land surface temperature/emissivity MxD11C1 MxD11C2 — — MxD11C3 — 0.05° CMG Terra, Aqua Land surface temperature/emissivity — — MxD13C1 — MxD13C2 — 0.05° CMG Terra, Aqua Vegetation indices MxD14A1 MxD14A2 — — — — 1000 m SIN Terra, Aqua Thermal anomalies, fire — — — — MCD45A1 — 500 m SIN Terra+Aqua Burned area 250 m SIN 500 m SIN 1000 m SIN 0.05° CMG 1° CMG Time window Platform Description MxD09Q1 MxD09A1 — — — 8-day Terra, Aqua Surface reflectance — — — MxD09CMG — Daily Terra, Aqua Surface reflectance — MCD12Q1 — MCD12C1 — Yearly Terra+Aqua Land cover type — MCD12Q2 — — — Yearly Terra+Aqua Land cover dynamics

(global vegetation phenology)

MxD13Q1 MxD13A1 MxD13A2 MxD13C1 — 16-day Terra, Aqua Vegetation indices — — MxD13A3 MxD13C2 — Monthly Terra, Aqua Vegetation indices — MCD43A1 MCD43B1 MCD43C1 — 16-day Terra+Aqua BRDF/albedo model parameters — MCD43A3 MCD43B3 MCD43C3 — 16-day Terra+Aqua Albedo — MCD43A4 MCD43B4 MCD43C4 — 16-day Terra+Aqua Nadir BRDF-adjusted reflectance

Image based on observations from MODIS

  1. ^ NASA Earth Data. "VIIRS; Visible Infrared Imaging Radiometer Suite". NASA. Retrieved 6 March 2025.
  2. ^ UN-SPIDER. "Detecting forest fires with satellites (MODIS and VIIRS)". UN Office for Outer Space Affairs. Retrieved 6 March 2025.
  3. ^ "MODIS Components". Retrieved 11 August 2015.
  4. ^ "MODIS Characterization Support Team". Retrieved 18 July 2015.
  5. ^ 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, 7597–7614; doi:10.3390/rs70607597
  6. ^ 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, 376–392
  7. ^ KLEIN, I., GESSNER, U. and C. KUENZER, 2012: Regional land cover mapping in Central Asia using MODIS time series. Applied Geography 35, 1–16
  8. ^ 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, 3387–3408; doi:10.3390/rs6043387
  9. ^ 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. 282–297
  10. ^ Hall, Dorothy K; Riggs, George A; Salomonson, Vincent V; DiGirolamo, Nicolo E; Bayr, Klaus J (2002). "MODIS snow-cover products". Remote Sensing of Environment. 83 (1–2): 181–194. Bibcode:2002RSEnv..83..181H. doi:10.1016/S0034-4257(02)00095-0. hdl:2060/20010069265. S2CID 129808147.
  11. ^ Hall, Dorothy K.; Riggs, George A.; Salomonson, Vincent V. (1995). "Development of methods for mapping global snow cover using moderate resolution imaging spectroradiometer data". Remote Sensing of Environment. 54 (2): 127–140. Bibcode:1995RSEnv..54..127H. doi:10.1016/0034-4257(95)00137-P.
  12. ^ 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, 8516–8542
  13. ^ 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, 78–87
  14. ^ "Shrinking Aral Sea."NASA Earth Observatory. Retrieved: 30 September 2014.
  15. ^ Wigglesworth, Alex (6 November 2019). "Satellite image shows Kincade fire burn scar". Los Angeles Times. Retrieved 7 November 2019.
  16. ^ "MODIS Active Fire Mapping Program FAQs." Archived 2 July 2013 at the Wayback Machine United States Forest Service. Retrieved: 30 September 2014.
  17. ^ NASA.gov
  18. ^ "MODIS Design". Retrieved 11 August 2015.
  19. ^ "MODIS Products Table". Archived from the original on 11 August 2011. Retrieved 12 June 2011.

Modis has 36 spectral bands

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