Sentinel-2A MSI is the Landsat-like spatial resolution (10–60 m) super-spectral instrument of the European Space Agency (ESA), aimed at additional data continuity for global land surface monitoring with Landsat and Satellite Pour l’Observation de la Terre (SPOT) missions. Several simulation studies have been conducted in the last several years to show the potential of Sentinel-2A MSI (MultiSpec...

We have used Landsat-5 TM and Landsat-7 ETM+ images together with simultaneous ground-truth data at sample points in the Doñana marshes to predict water turbidity and depth from band reflectance using Generalized Additive Models. We have point samples for 12 different dates simultaneous with 7 Landsat-5 and 5 Landsat-7 overpasses. The best model for water turbidity in the marsh explained 38% of...

Land cover classification has been widely investigated in remote sensing for agricultural, ecological and hydrological applications. Landsat images with multispectral bands are commonly used to study the numerous classification methods in order to improve the classification accuracy. Thermal remote sensing provides valuable information to investigate the effectiveness of the thermal bands in ex...

The quality of satellite images propagating through the atmosphere is affected by phenomena such as scattering and absorption of light, and turbulence, which degrade the image by blurring it and reducing its contrast. The atmospheric Wiener filter, which corrects for turbulence blur, aerosol blur, and path radiance simultaneously, is implemented in the digital restoration of Landsat Thematic Ma...

Information about current land-cover in forests is important for management and conservation of these areas. Up to the last decade traditional per pixel classification algorithms were used to be utilized in extracting land-cover information. However, they are poorly equipped to monitor land-cover in images acquired by current generation of satellite sensors with adequate accuracy. A good unders...

Using an unconstrained least squares solution (LSS) method and an artificial neural network (ANN) algorithm, we estimated oakwood crown closure from a Landsat Thematic Mapper (TM) image of Tulare County, California, USA. Fractions of endmembers (oak crown (f1), grass (f2) and soil (f3)) from mixed pixels were derived from aerial photographs (scale 1 : 40 000) scanned at 1m ground resolution for...

PHOTOGRAMMETRIC ENGINEER ING & REMOTE SENS ING Novembe r 2008 1413 Abstract A comparison of land-cover maps, emphasizing row crop agriculture, resulting from independent classifications of coincident Landsat-5 Thematic Mapper (TM) and Resourcesat-1 Advanced Wide Field Sensor (AWIFS) imagery is presented. Three agriculturally intensive study areas within the midsection of the United States were ...

(1993). Topographic normalization of TM scenes through the use of an atmospheric correction method and digital terrain models. A computer graphics based model for scattering from objects of arbitrary shapes in the optical region. Correction of atmospheric and topo-graphic effects for high spatial resolution satellite imagery. Fig. 2: a) Geocorrected Landsat-TM image from April 26th of the Davos...