0022-1694/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.jhydrol.2012.05.055 ⇑ Corresponding author. Tel.: +86 25 83787480. E-mail address: [email protected] (L. Ren). This study first focuses on comprehensive evaluating three widely used satellite precipitation products (TMPA 3B42V6, TMPA 3B42RT, and CMORPH) with a dense rain gauge network in the Mishui basin (9972 km) in ...

[1] Motivated by the recent increasing availability of global remote sensing data for estimating precipitation and describing land surface characteristics, this note reports an approximate assessment of quasi-global runoff computed by incorporating satellite rainfall data and other remote sensing products in a relatively simple rainfall-runoff simulation approach: the Natural Resources Conserva...

The need to accurately predict satellite positions is a leading aspect of space situational awareness and presents increased challenges in the specification of the spacecraft environment in low earth orbit. Atmospheric drag is the most important environmental perturbation for low orbiting spacecraft and the most difficult one to model and predict precisely. The author will present a method for ...

Introduction: Satellite cells are known as the main regenerative cell type in skeletal muscles. Our study established a modified digestion and preplating method for the isolation of slow or weak adherent cells for the enrichment of satellite cells. Low-survival rate of these primary stem cells prompted us to address whether cell culture medium substitution might change cell viability status. M...

a long time ago, since the launch of the first artificial satellite in 1957, controling attitude of satellites has been considered by the designers and engineers of aerospace industry. considering the importance of this issue various methods of control in response to this need have been presented and analyzed until now. in this paper, we propose and analyze a three-axis optimal control on the s...

Super-resolution techniques that process multiple images to achieve resolution enhancement for satellite images are very important. This work utilizes Vandewalle method to realize super-resolution for satellite images. Assuming the motions between images are all on the same plane, we estimate and stick images into the high resolution grid. Because of the huge size of satellite images, only part...

Satellite imagery classification is a challenging problem with many practical applications. In this paper, we designed a deep convolution neural network (DCNN) to classify the satellite imagery. The contributions of this paper are twofold — First, to cope with the large-scale variance in the satellite image, we introduced the inception module, which has multiple filters with different size at t...

one of the most important information in urban forestry is acquaintance of urban landscape’s area or proportion. nowadays, in several countries variable methods are used to achieve this aim. since there is not any complete method to study urban forest’s status in iran, it is impossible to exert authentic management for these resources. hence, in this research, sampling methods and ikonos satell...

the preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. but today, remote sensing is one of the main sources of data collection and information production for study and monitoring land resources, and was efficient tools for providing quickly and timely data and information needs for program planning in the natural resource filed. ...

a r t i c l e i n f o The paper presents an implementable method of anomaly detection for satellite power system. Specifically, a data-driven anomaly detection method for sensor data integrated Kernel Principal Component Analysis (KPCA) and association rule mining is demonstrated. Establishing associated rules among sensor monitoring data sets, this approach analyses the structure of measure sp...