Rapid Response Mapping of the 2014 Flooding in Paraguay and Brazil

DFO Event # 4150, Flood Overview Map

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Work supported by the NASA Applications Program and CAF, the Development Bank for Latin America in collaboration with GeoSUR.

Data Credits and processing details:

MODIS

This map may incorporate 250 m spatial resolution MODIS Rapid Response Subset data: provided by NASA's LANCE system: https://earthdata.nasa.gov/data/near-real-time-data/rapid-response/modis-subsets. It may also incorporate data from an automated MODIS 250 m flood processor using NASA LANCE data (see appropriate Surface Water Record display for more information, links to those component data, and technical description).We acknowledge the use of data from the Land Atmosphere Near-real time Capability for EOS (LANCE) system operated by the NASA/GSFC/Earth Science Data and Information System (ESDIS) with funding provided by NASA/HQ and support of the automated flood processor by the NASA Applications Program.

When the automated processor is not detecting water due to frequent and heavy cloud cover, individual MODIS scenes and operator-assisted mapping can provide better results.This method of water/land classification and map production from the Rapid Response subset data is effective: a) The subset geotiff data, bands 721 composites, are used. b) A band math/ratio and threshold approach is applied within Envi™ as follows: 1) Band math: "(float(b2) gt 200 ) or (((float(b1)+1)/(float(b2)+80)) gt .7) or float(b3) gt 17", where b2 = band 1; b3 = band 2; b1 = band 3 of the three channel RGB (bands 1,2,3) geotiff files. 3) This produces a binary geotif file with 0, black, as water, and 1, white, as land. 4) To remove cloud shadows, two images closely spaced in time (within one day) are processed, the classification results added, and the results added. Water must retain values of 0. 5) A GIS polygon (.shp format) is then fit around the water pixels.

LANDSAT

Landsat 8 data, when used, are provided by the United States Geological Survey Hazards Data Distribution System (http://hdds.usgs.gov/hdds2/). Landsat 8 is jointly managed by NASA and the United States Geological Survey.

Method of Landsat water/land classification and map production: 1) Landsat bands 3 (green), 0.53-0.59; 5 (near infrared), 085.-0.88; and 6, (short-wave infrared), 1.57-1.65, of the Operational Land Imager (OLI) sensor were used to produce a color composite for quality control purposes. 2) The following processing steps were performed to produce classified water pixels: a) Using Envi™, an NDVI-like product was produced: band 3-band 5/band 3 + band 5. b) Water pixels were identified via a threshold: "water" = < -.04 of this ratio result, c) GIS (.shp files) are then produced within Envi™ and outline the preliminary water areas. d). Within GIS software, the polygons are displayed over the tif image, and evident cloud shadow-sourced and other error polygons are deleted. This method is designed for rapid, operator-assisted transformation of Landsat image data into map information. The band 3 / band 5 information when processed in this way avoids most cloud shadow (false positives) and provides sensitive water/land discrimination.

RIVER WATCH MEASUREMENT SITES

At selected locations, a time series of satellite microwave-based daily river discharge measurements are available. These define the estimated recurrence interval of mapped flooding.. Click on the colored dots: Yellow dots: low flow (<50 % mean daily runoff for this date); Blue dots: normal flow; Purple dots: moderate flooding (>1.33 yr recurrence); Red, major flooding (> 5 yr recurrence). See River Watch global display for more information. Sample output below (at river measurement site #856) indicates that the flood was here in excess of the computed 30 yr recurrence interval event, based on period of record 1998-present.

Paraguay River discharge

Citation for this display and map: Brakenridge, G.R., Slayback, D., Kettner, A.J.,Policelli, F., De Groeve, T., and Cohen, S., Rapid Response mapping and measurement of the 2014 flooding in Bolivia, Dartmouth Flood Observatory, University of Colorado, Boulder, CO, USA (http://floodobservatory.colorado.edu/RapidResponse/2014Bolivia4117/2014Bolivia.html).

Maps and associated data generated at DFO are available for public use and licensed under a Creative Commons Attribution 3.0 Unported License.

See also:

ECHO Daily Map prepared by the Joint Research Centre of the European Commission

Flood List Report: 1000 evacuated along the Rio Tebicuary, tributary to the Paraguay, May 5, 2015

Access GIS data

Paraguay Flood Map

 

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