Moderate Resolution Imaging Spectroradiometer
The Moderate Resolution Imaging Spectroradiometer (MODIS) is a payload imaging sensor built by Santa Barbara Remote Sensing  that was launched into Earth orbit by NASA in 1999 on board the Terra ( EOS AM) satellite, and in 2002 on board the Aqua (EOS PM) satellite. The instruments 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. 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.  MODIS has used the marine optical buoy for vicarious calibration. MODIS is succeeded by the VIIRS instrument on board the Suomi NPP satellite launched in 2011 and future Joint Polar Satellite System (JPSS) satellites.
The MODIS characterization support team (MCST) is dedicated to the production of high-quality MODIS calibrated product which is a precursor to every geophysical science product. A detailed description of the MCST mission statement and other details can be found at MCST Web. 
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With its low spatial resolution but high temporal 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 monitor deforestation rates),     global snow cover trends,   water inundation from pluvial, riverine, or sea level rise flooding in coastal areas,  change of water levels of major lakes such as the Aral Sea,   and the detection and mapping of wildland fires in the United States.  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. 
|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)|
|Telescope||17.78 cm diam. off-axis, afocal (collimated), with intermediate field stop|
|Size||1.0 × 1.6 × 1.0 m|
|Power||162.5 W (single orbit average)|
|Data rate||10.6 Mbit/s (peak daytime); 6.1 Mbit/s (orbital average)|
|Spatial resolution||250 m (bands 1–2) 500 m (bands 3–7) 1000 m (bands 8–36)|
|Temporal resolution||1–2 days |
|Design life||6 years|
The following MODIS Level 3 (L3) datasets are available from NASA, as processed by the Collection 5 software. 
|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|
|—||MCD43A4||MCD43B4||MCD43C4||—||16-day||Terra+Aqua||Nadir BRDF-adjusted reflectance|
Raw MODIS data stream can be received in real-time using a tracking antenna, due to the instrument's direct broadcast capability. 
- ECHO Reverb – the next generation metadata and service discovery tool,  which has replaced the former Warehouse Inventory and Search Tool (WIST);
- LAADS Web – Level 1 and Atmosphere Archive and Distribution System (LAADS) web interface;
- LANCE-MODIS – Land Atmosphere Near real-time Capability for EOS 
ftp://ladsftp.nascom.nasa.gov/– LAADS underlying FTP server;
http://e4ftl01.cr.usgs.gov/– Earth land surface datasets;
ftp://n4ftl01u.ecs.nasa.gov/– snow and ice datasets.
- "MODIS Components". Retrieved 11 August 2015.
- "MODIS Design". Retrieved 11 August 2015.
- "MODIS Characterization Support Team". Retrieved 18 July 2015.
- 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
- 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
- KLEIN, I., GESSNER, U. and C. KUENZER, 2012: Regional land cover mapping in Central Asia using MODIS time series. Applied Geography 35, 1–16
- 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
- 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
- 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. doi: 10.1016/S0034-4257(02)00095-0.
- 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. doi: 10.1016/0034-4257(95)00137-P.
- 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
- 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
- "Shrinking Aral Sea."NASA Earth Observatory. Retrieved: 30 September 2014.
- Wigglesworth, Alex (6 November 2019). "Satellite image shows Kincade fire burn scar". Los Angeles Times. Retrieved 7 November 2019.
- "MODIS Active Fire Mapping Program FAQs." Archived 2 July 2013 at the Wayback Machine United States Forest Service. Retrieved: 30 September 2014.
- "MODIS Products Table". Archived from the original on 11 August 2011. Retrieved 12 June 2011.
- "Direct Broadcast at MODIS Website". Retrieved 2 June 2009.
- "About Reverb". Archived from the original on 20 November 2011. Retrieved 7 November 2011.
- "LANCE-MODIS". NASA Goddard Space Flight Center. Retrieved 15 September 2014.
- "HDF-EOS Tools and Information Center". Retrieved 2 June 2009.
|Wikimedia Commons has media related to Photos by MODIS.|
- Official NASA site
- MODIS bands and spectral ranges (broken link)
- MODIS Images of the Day
- MODIS Image of the Day – Google Gadget referring to MODIS image of the day.
- Gallery of Images of Interest
- MODIS Land Product Subsetting Tool for North America from Oak Ridge National Laboratory
- MODIS Rapid Response system (near real time images)
- NASA OnEarth (Web service for MODIS imagery)
- Visible Earth: Latest MODIS images
- MODIS Sinusoidal: Projection 6842 – MODIS Sinusoidal
- Python: accessing near real-time MODIS images and fire data from NASA’s Aqua and Terra satellites ( Python)