| Data Access |
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| Overview |
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Floods are determined by use of daily MODIS 250 meter data, processed
via decision tree algorithm to determine presence of water. The resultant map is compared to a static water mask to
identify deviations, which are then labeled as flood. The method is limited by the sensor which is limited to visible
observations, hence clouds obscure the view. An example of this process is the 2008 US Midwest floods, occurring due
to unusually heavy rains in the northern Midwest causing flooding all down the Mississippi basin.
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| Code Values |
| Label |
RGB Red Value |
RGB Green Value |
RGB Blue Value |
Color |
| land |
178 |
178 |
178 |
grey |
| water |
0 |
0 |
255 |
blue |
| flood |
255 |
0 |
0 |
red |
| cloud |
255 |
255 |
255 |
white |
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| How to Cite This Data Set |
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Citation Format: Author (Publication Date), Collection Name, Image Name,Processing
Level, Publisher Location, Publisher Location, Product Coverage Date.
Citation Parameters Example:
- Author: Carroll, M.L., DiMiceli, C.M., Townshend, J.R.G., Sohlberg, R.A., Noojipady, P.
- Publication Date: 2008
- Collection Name: MODIS Flood Map; {specify particular flood event, from description page}
- Product Name: {specify file name}
- Version: 1.0
- Publisher: University of Maryland
- Publisher Location: College Park, Maryland
- Product Coverage Date: 2008
Full Example Citation: Carroll, M.L., DiMiceli, C.M., Townshend, J.R.G., Sohlberg, R.A., Noojipady, P. (2008),
MODIS Flood Map; 2008 US Midwest Flood, MOD_FLOOD.2008158.Midwest.Geog,
version 1.0, University of Maryland, College Park, Maryland, 2008.
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| Intellectual Property Rights |
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University of Maryland; Department of Geography; use is free to all if
acknowledgement is made. UMD holds ultimate copyright.
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| Source |
Source for this data set is the Global Land Cover Facility, www.landcover.org. |
