2020
DOI: 10.1007/s12517-020-05802-z
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Surface roughness distribution map for Iraq using satellite data and GIS techniques

Abstract: This study shows the potential of using the satellite data techniques that are supported by the GIS and remote sensing (RS) approaches to produce the roughness map for the surface of Iraq and any area in a very efficient manner. Normalized difference vegetation index (NDVI) was generated using MODIS data acquired on 23 April 2015. Thirty-six points were used to build and verify the proposed model of surface roughness coefficient (n), which was correlated with NDVI layer according to the types of soil cover and… Show more

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Cited by 11 publications
(2 citation statements)
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“…However, none of the methods we found used computer vision or machine learning to automate this process. There are only works that use satellite images to estimate coefficient n through LULC classification [22,23]. Usually, the last step in determining n is its optimization using available hydrological data which are, however, unavailable in the case of uncontrolled catchments.…”
Section: Methodsmentioning
confidence: 99%
“…However, none of the methods we found used computer vision or machine learning to automate this process. There are only works that use satellite images to estimate coefficient n through LULC classification [22,23]. Usually, the last step in determining n is its optimization using available hydrological data which are, however, unavailable in the case of uncontrolled catchments.…”
Section: Methodsmentioning
confidence: 99%
“…This study was conducted in the climate of Baqubah city-Iraq. Iraq is located in the southwestern part of the continent Asia and the northeastern part of the Arab homeland between longitudes 38.45° to 48.45° E and latitudes 29.05° to 37.3° N [20][21][22]. Iraq's climate is characterized as variable from humid in the northern and northeastern region to very dry in the western and southern regions and some central regions as shown in figure (1).…”
Section: Abbreviationsmentioning
confidence: 99%