1,720,990 research outputs found
Impact of atmospheric correction on land-use classification and water demand-Aral Sea basin
No full text
The suitability of simple statistical techniques to remove the atmospheric effects from satellite multi-spectral remote sensing data from inland waters
No full textThe use of large eutrophic inland water bodies as suitable dark targets in the assessment of atmospheric pollution using satellite remotely sensed imagery
No full textUsing time-series Landsat-7 images for estimation of cultivated areas in the Aral Sea basin, Kazakhstan
No full textThe application of the covariance matrix atmospheric correction in the remote sensing of reservoirs
No full textThe use of an improved atmospheric correction algorithm for removing atmospheric effects from remotely sensed images using an atmosphere-surface simulation and meteorological data
No full textUnless effective corrections can be applied, satellite remote sensing data will remain modified by the absorption and scattering effects of the atmosphere through which the electromagnetic radiation must pass, between the Sun, the ground and the sensor. The true reflectance of the land will not be recoverable, and multi-temporal datasets will not be comparable as a result of the variability of the atmosphere. This article presents a method of removing atmospheric effects from satellite remote sensing images for low-reflectance areas, such as water, where the atmosphere accounts for the majority of the at-satellite measured radiance in the visible bands. The method uses visibility observations to select a reference image for the area of interest. The reflectance of the dark target is calculated after atmospheric correction from the reference image, and is used in conjunction with Turner and Spencer's atmosphere-surface simulation (Turner and Spencer, 1972) and Forster's method (Forster, 1984), to correct the remainder of the images. The method is applied to three large water treatment reservoirs to the west of Londo
Investigating the potential of using satellite remote sensing for real estate applications in Cyprus
No full text
Remote sensing in support of coastal zone management: a case study of the Paphos District (Cyprus)
No full text- …
