Vertical electron density profile is an important source of information on the Earth’s ionosphere. It is well known that such vertical electron density profile can be retrieved using LEO (Low Earth Orbit) satellite RO (radio occultation) data. With more and more LEO satellite data available (such as CHAMP, SAC_C, GRACE, COSMIC), the retrieved vertical electron density can be more accurate if so...

In continuation of IRS-1C/1D mission, Resourcesat mission was planned for integrated land and water resource management. Resourcesat was launched on 17 October 2003. This satellite carries three multi-spectral cameras with variable swath and different spatial resolution. Data quality evaluation (DQE) system characterizes payload and platform performance and its impact on radiometric and geometr...

Moving target detection in optical remote sensing is important for satellite surveillance and space monitoring. Here, a new moving point framework under low signal-to-noise ratio (SNR) that uses an end-to-end network (1D-ResNet) to learn the distribution features of transient disturbances temporal profile (TP) formed by passing through pixel proposed. First, we converted image into disturbance ...

This paper presents the operational implementation of a 1D+4D-Var assimilation system of rain affected satellite observations at ECMWF. The first part describes the methodology and performance analysis of the 1D-Var retrieval scheme in clouds and precipitation that uses SSM/I microwave radiance observations for the estimation of total column water vapor. The second part shows the global and lon...

This study used realistic representations of cloudy atmospheres to assess errors in solar flux estimates associated with 1D radiative transfer models. A scene construction algorithm, developed for the EarthCARE mission, was applied to CloudSat, CALIPSO and MODIS satellite data thus producing 3D cloudy atmospheres measuring 61 km wide by 14,000 km long at 1 km grid-spacing. Broadband solar fluxe...

Road, railway and track networks are important features of satellite imagery. Automated detection of tracks in mountainous terrain using satellite imagery is a difficult task. The track and the shadow signature of the mountainous terrain are almost same. The presence of ridges and snow also creates a lot of ambiguity. Moreover due to poor sunlight condition in the mountainous terrain the images...

Landslides are one kind of slopes processes have been take place in some area at worldwide and Iran every year, and they are associated with damaged, many people are harmed and losses their properties. The aim of this research landslide hazard assessment in central zab basin in the southwest mountainsides of West-Azerbaijan province, Iran by using information layers and effective factors in lan...

The suitability of Back Propagation Neural Network (BPNN) for classification of remote sensing images is explored in this paper. An approach that consists of three steps to classify IRS-1D images is proposed. In the first step, features are extracted from the firstorder histogram measures. The next step is feature classification based on BPNN, and in the finally step the results are compared wi...