Today different satellites provide imagery with high potentials for applications in various fields of geomatics (e.g. DTM extraction, topographic mapping, GIS applications, Cultural Heritage documentation). The ground resolution of the satellite scenes is constantly increasing and the scenes can be acquired world-wide in different radiometric modes. In this contribution we present the modeling ...

Imagery from GOES satellites is analyzed to determine how solar variability is related to the NOAA classification of cloud type. Without using a model to convert satellite imagery to average insolation on the ground, this paper investigates using cloud categories to directly model the expected statistical variability of ground irradiance. Hourly cloud classified satellite images are compared to...

The long term goal of this project is to employ satellite SAR imagery to the quantitative analysis of monsoons, internal waves, ocean surface features, and surface currents. To achieve this, a variety of satellite SAR sensors with different frequencies, multi-polarizations and different imaging modes are used to determine which combination of the above capabilities could provide the best solution.

Remote Sensing satellite image database which allows image portion retrievals utilizing principal component which consists of spectral and spatial features extracted from the imagery data is proposed. Through the experiments with actual remote sensing satellite images, it is found that the proposed image retrieval does work so well. Keywords—Image retrieval; Spectral and spatial features; e

The vast forests on the border between Brazil and Peru harbour a number of indigenous groups that have limited contact with the outside world. Accurate estimates of population sizes and village areas are essential to begin assessing the immediate conservation needs of such isolated groups. In contrast to overflights and encounters on the ground, remote sensing with satellite imagery offers a sa...

Reliable data on economic livelihoods remain scarce in the developing world, hampering efforts to study these outcomes and to design policies that improve them. Here we demonstrate an accurate, inexpensive, and scalable method for estimating consumption expenditure and asset wealth from high-resolution satellite imagery. Using survey and satellite data from five African countries--Nigeria, Tanz...

Article history: Received 15 April 2013 Received in revised form 6 June 2014 Accepted 20 June 2014 Available online 16 July 2014