Cloud detection from geostationary satellite multispectral images through statistical methodologies is investigated. Discriminant analysis methods are considered to this purpose, endowed with a nonparametric density estimation and a linear transform into principal and independent components. The whole methodology is applied to the MSG-SEVIRI sensor through a set of test images covering the cent...

The sea ice cover in the North evolves at a rapid rate. To adequately monitor this evolution, tools with high temporal and spatial resolution are needed. This paper presents IceMap250, an automatic sea ice extent mapping algorithm using MODIS reflective/emissive bands. Hybrid cloud-masking using both the MOD35 mask and a visibility mask, combined with downscaling of Bands 3–7 to 250 m, are util...

The potential of optical remote sensing data to identify, map and monitor croplands is well recognized. However, clouds strongly limit the usefulness of optical imagery for these applications. This paper aims at assessing cloud cover conditions over four states in the tropical and sub-tropical Center-South region of Brazil to guide the development of an appropriate agricultural monitoring syste...

in recent years, extraction of atmospheric temperature and humidity profiles from thermal bands of satellite images is a common practice. the most deployed images for this task have been acquired by moderate resolution imaging spectroradiometer (modis). this sensor which is onboard of terra and aqua platforms consists of a spectroradiometer with 36 bands in visible (vis), near infra-red (nir) u...

introduction thermal infrared integrated dust index (tiidi) is one of indices that is presented in this direction. the index operates based on four brightness temperature difference including wavelengths 3.7, 8.6, 11 and 12 micrometer. according to the studies, btd (bt12-bt11) is used for cloud detection. btd (bt8.6-bt11) is the index for separation for dust from sandy surface and btd (bt3.7-bt...