SRTM vegetation removal and hydrodynamic modeling accuracy
نویسندگان
چکیده
منابع مشابه
Accuracy evaluation of SRTM and ASTER DSMs
Over the last few years DSMs derived from satellite sensors, as SRTM (Space Shuttle Radar Topography Mission) and ASTER (Advance Space borne Thermal Emission and Reflection Radiometer) DSMs, have been issued and continuously updated. The SRTM DSM is delivered in three different versions (Finished, DTED, CGIAR), with different nominal accuracy covering a large part of the world at a resolution o...
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The U.S National Elevation Dataset and the NLCD 2001 landcover data were used to test the correlation between SRTM elevation values and the height of evergreen forest vegetation in the Klamath Mountains of California.Vegetation height estimates (SRTM-NED) are valid only for the two out of eight (N, NE, E, SE, S, SW, W, NW) geographic directions, due to NED and SRTM grid data misregistration. Pe...
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Hydrodynamic cavitation can effectively remove organic pollutants and microorganisms from water. Organic compound degradation and water disinfection removal rate is related to reaction time and operating temperature. Removal rate can be improved by increasing the reaction time or raising the operating temperature. Under our experimental conditions, the removal rate of colority, COD and petroleu...
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In order for underwater vehicles to fully realize the potential of utilizing oscillating foils as propulsion mechanisms, it is necessary for the control scheme to be aware of the state of the water environment, especially the vorticity in the water. In this paper, we investigate the problem of estimating the hydrodynamic potentials based on pressure measurement on a submerged body. A relationsh...
متن کاملCorrection of Interferometric and Vegetation Biases in the SRTMGL1 Spaceborne DEM with Hydrological Conditioning towards Improved Hydrodynamics Modeling in the Amazon Basin
In the Amazon basin, the recently released SRTM Global 1 arc-second (SRTMGL1) remains the best topographic information for hydrological and hydrodynamic modeling purposes. However, its accuracy is hindered by errors, partly due to vegetation, leading to erroneous simulations. Previous efforts to remove the vegetation signal either did not account for its spatial variability or relied on a singl...
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ژورنال
عنوان ژورنال: Water Resources Research
سال: 2013
ISSN: 0043-1397
DOI: 10.1002/wrcr.20412