In this study, it is aimed to calculate snow density, depth, and snow water equivalent with the help of single polarization TerraSAR-X data. In this context, Mount Erciyes/Turkey was chosen as the pilot study area and TerraSAR-X data with HH polarization were used. In addition, in situ measurements were performed simultaneously with the satellite pass to be used as input and validation data for the model to be used. Also, snow densities were obtained by inverse approach, Kriging, and ISO-4355 methods. Snow densities, in situ measurements, and SAR data were integrated into the produced D-InSAR snow depth model; snow depth, snow volume, and snow water equivalent were estimated. Consequently, it has been revealed that the snow depth, snow volume, and snow water equivalent parameters vary according to the snow density-calculated methods. Also, in this study performed with a single polarization, it is revealed that snow parameters can be accessed without multiple polarization. Snow densities were evaluated separately for 0.31g/cm 3 and 0.36 g/cm 3 , and snow depth, snow volume, and snow water equivalent maps were produced. Our study, which is supported by in situ measurements, has been shown to be consistent with the snow depth results in the region. Besides, the results of the model produced in the study were found to be compatible with in situ measurements.
InSAR DEM Baseline COSMO Sky-Med Digital elevation models (DEM) are indispensable elements of sensitive earth science studies. It is important the production and usage of DEMs. The science of remote sensing offers scientists an important source of data on this subject. Radar data, which is an active remote sensing system, has an important capacity in this regard. DEM production using InSAR data has been widely used in the literature in the last decade. The temporal baseline parameter, which is an important factor in data generation from InSAR pairs, also affects the final products. In this study, it is aimed to examine the usability of these data by producing short (4days), medium (84 days) and long (440 days) baseline DEMs using InSAR pairs of COSMO Sky-Med satellite. At the same time, photogrammetric DEMs were produced with unmanned aerial vehicles (UAV) in selected pilot areas. The DEMs produced were evaluated in 4 land surface types, namely plain-bare, agricultural, urban and rugged area. In addition, by performing statistical analyzes such as RMSE, MAE, the accuracy of the produced DEMs compared to the DEMs produced with UAV was examined. The results showed that short and medium baseline data give more accurate results than long baseline InSAR pairs. Increasing the temporal baseline, increases the amount of error in the DEMs produced. Also, the effect of land surface types on the produced DEMs was revealed in the results of the study.
Digital Elevation Model (DEM) data have become indispensable for many engineering disciplines because it contains terrain elevation information. Stereoscopic and interferometric methods are used inthe production of DEMs with the help of microwave images in remote sensing. The most important factor in the use of microwave images in this area is that they can acquire by day or night or not affected by weather conditions such as snow and rain. Microwave satellite systems can sense by moving on descending or ascending directions around the orbit. In this study, DEM production was carried out in a selected pilot region in Erciyes Mountain with TerraSAR-X data. Also, the data of the two orbits were
fused using the coherence data of the SAR images. DEMs produced separately for descending, ascending orbit and fusion images were compared with the elevation information obtained from in-situ measurements. As a result of statistical analysis, the correlation coefficients of ascending orbit, descending orbit and fusion were found 0.892, 0.894 and 0.934, respectively. When the results obtained were carried out, it was seen that the fusion method improved the results statistically.
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