1975
DOI: 10.1109/tap.1975.1141170
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Coherent electromagnetic losses by scattering from volume inhomogeneities

Abstract: z6 n! 32 (n + 2) ! 384 (n + 3) ! (A-6) can be written as iei(ko-k)(L-x'+ct') I2 z exP (kok). (Lx' + c t ') a,(K,x',t').

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Cited by 55 publications
(38 citation statements)
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“…The new versions of SRTM DEMs [30,31] are the result of interpolation efforts of the unedited SRTM DEM version 2 (~90 m). These SRTM data has been chosen because the depth of penetrating near surface paleodrainages is up to 0.5 m [16][17][18]. Near surface features (palaeolake and paleodrainages) appear dark in SRTM data.…”
Section: Data Sources and Pre-processingmentioning
confidence: 99%
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“…The new versions of SRTM DEMs [30,31] are the result of interpolation efforts of the unedited SRTM DEM version 2 (~90 m). These SRTM data has been chosen because the depth of penetrating near surface paleodrainages is up to 0.5 m [16][17][18]. Near surface features (palaeolake and paleodrainages) appear dark in SRTM data.…”
Section: Data Sources and Pre-processingmentioning
confidence: 99%
“…The depth of penetration near surface paleodrainages using C-band radar is up to 0.5 m [16,17]. This is because of the scarcity of lakes (water bodies), rainfall, vegetation cover, low topography and low soil moisture content.…”
Section: Introductionmentioning
confidence: 99%
“…The penetration of the waves reaches to 0.5 m in the extremely dry sand (Roth & Elachi 1975). This study demonstrated a valuable geological information source that can be in geological and geotectonic applications.…”
Section: Discussionmentioning
confidence: 76%
“…The new version of SRTM DEMs (version3 http://srtm.csi.cgiar.org/ Index.asp) is the result of interpolation efforts of the un-edited SRTM DEM version 2 (»90 m). We used SRTM DEM due to the ability of active sensor waves to penetrate the extremely dry sand sheets and reveal the fault zones at 50 cm in the subsurface (Elmahdy et al 2011;Elmahdy & Mohamed 2013a), and invariability of gravity data to bring out will define the signatures of rock dislocation (Roth & Elachi 1975).…”
Section: Data and Pre-processingmentioning
confidence: 99%
“…Over the last four decades, the growing number and quality of space imagers has strongly contributed to the identification of possible impact structures (e.g., [9,11]) which usually appear as distinct ring anomalies marking the original Earth surface. Unlike optical sensors, which can only image the surface of the desert, long-wave microwave sensors can unveil sand-hidden subsurface features [12]. In particular, radar images at C and L bands have successfully revealed sand-buried paleoriver courses and lake basins in several parts of the Great Sahara [13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%