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Description

The MODIS/Aqua+Terra Global Flood Product L3 Near Real Time (NRT) 250m Global Flood Product (MCDWD_L3_NRT) (beta) provides daily maps of flooding globally. The product is provided over 3 compositing periods (1-day, 2-day, and 3-day) to minimize the impact of clouds and more rigorously identify flood water (the best composite will depend on the cloudiness for a particular event). The beta version of the product will be updated.
For more information, visit product page at:
https://earthdata.nasa.gov/earth-observation-data/near-real-time/mcdwd-nrt

Product Summary

Platforms
Terra ,
Aqua
Instruments
MODIS
Projects
Aqua ,
TERRA ,
LANCE
Spatial Extent

N: 90 S: -90 E: 180 W: -180

Spatial Resolution
250 Meters x 250 Meters
Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2021-03-01 to Present
Data Partner
Land, Atmosphere Near real-time Capability for EOS (LANCE) Moderate Resolution Imaging Spectroradiometer (MODIS) (NASA/GSFC/EOS/ESDIS/LANCE MODIS)
Concept ID
C2018599131-LANCEMODIS
Data State
ACTIVE
Number of Files/Granules
2054
Processing Level
3
Published
Science Keywords
Floods ,
Floods

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

MODIS Science Team. (2021). MODIS/Aqua+Terra Global Flood Product L3 NRT 250m [Data set]. NASA LANCE MODIS at the MODAPS. https://doi.org/10.5067/MODIS/MCDWD_L3_NRT.061 Date Accessed: 2026-10-30

Documents

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Publications Citing This Dataset

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Title Authors Year Referenced Datasets
Sensorweb Systems for Global High-Resolution Monitoring of Environmental Phenomena
  • Kangaslahti, Akseli, Mason, James, Swope, Jason, Holzmann, Tessa, Davies, Ashley Gerard, Chien, Steve, Harrison, Tanya, Walter, Joseph J.
Global WaterPack-The development of global surface water over the past 20 years at daily temporal resolution
  • Klein, Igor, Uereyen, Soner, Sogno, Patrick, Twele, Andre, Hirner, Andreas, Kuenzer, Claudia
Global flood extent segmentation in optical satellite images
  • Portales-Julia, Enrique, Mateo-Garcia, Gonzalo, Purcell, Cormac, Gomez-Chova, Luis
Public Health Data Applications Using the CDC Tracking Network:
  • Amos, H. M., Skaff, N. K., Schollaert Uz, S., Policelli, F. S., Slayback, D., Macorps, E., Jo, M. J., Patel, K., Keller, C. A., Abue, P., Buchard, V., Werner, A. K.
COVID-19 crisis in Cambodia: A dataset containing linked survey and administrative data of ninth-graders in rural areas
  • Gehrke, Esther, Lenel, Friederike, Schupp, Claudia
Increased flooded area and exposure in the White Volta river basin in Western Africa, identified from multi-source remote sensing data
  • Li, Chengxiu, Dash, Jadunandan, Asamoah, Moses, Sheffield, Justin, Dzodzomenyo, Mawuli, Gebrechorkos, Solomon Hailu, Anghileri, Daniela, Wright, Jim
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