Abstract
Traditional measurement techniques “in situ” sometimes fail to magnify the spatial distribution of floods. For these cases, the remote sensors provide methodologies of very low economic cost and high reliability when mapping flooded areas and quantifying the damages. Due to the dynamic nature of these phenomena, it is necessary to use satellite images of high temporal resolution, however this type of images usually have a low spatial resolution. In relation to this problem, traditional classification techniques are not reliable enough for flood delineation and monitoring since they use “hard methods” of classification, where the coarse pixel is assigned a single type of coverage. On the other hand, “smoothed methods” have the ability to assign different kinds of coverage to the interior of the thick pixel. The present investigation makes the application of a sub-pixel analysis methodology (sub-pixel analysis - SA) for the monitoring of flooded areas. The improvement of the delimitation is achieved with the use of topographic attributes provided by a digital terrain model (DTM). The methodology was applied to the monitoring in the Great Depression Momposina, specifically to delineate the swamp of Zapatosa.
Highlights
The human, always in expansion, takes territory away from nature, increasing the affectation caused by natural disasters, such as earthquakes, tornadoes, hurricanes, storms, floods, droughts, etc
The study area corresponds to the water mirror of the depression Momposina called “Cienaga Candelaria Rincón Avisperos”, belonging to the complex of bodies of water known as “Cienaga de Zapatosa”
This digital terrain model (DTM) was processed and used with a spatial resolution of 50 meters, which is a resampling of the digital topography with a spatial resolution 30-meter original downloaded from the official USGS website
Summary
The human, always in expansion, takes territory away from nature, increasing the affectation caused by natural disasters, such as earthquakes, tornadoes, hurricanes, storms, floods, droughts, etc. Some of these phenomena can be decimated in their damages with systems early alarms and their evolutions can be monitored. It is a topic of general interest, to have a tool at your fingertips which allows you to take free information from the different remote sensors such as the MODIS and Landsat and to transform it into useful information to delve into the natural phenomena that overwhelm the Earth Empirical sciences such as topography and photogrammetry have been emerging, as well as meteorology for the climatological study.
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