Since the 1970s nighttime satellite images of the Earth from space have provided a striking illustration of the extent of artificial light. Meanwhile, growing awareness of adverse impacts of artificial light at night on scientific astronomy, human health, ecological processes and aesthetic enjoyment of the night sky has led to recognition of light pollution as a significant global environmental...

Abstract The merits of a perturbation theory based on mean-to-osculating transformation that is purely periodic in the fast angle are investigated. exact separation perturbed Keplerian dynamics into short-period effects and long-period mean frequencies achieved by non-canonical transformation, which, therefore, cannot be obtained Hamiltonian methods. For this case, evolution elements strictly a...

Planning and scheduling are closely related areas with which the AI community has been long concerned. The first one deals with finding plans to achieve some goals from an initial state; that is, a sequence of activities that will modify the initial state into another that satisfies the goals. The second one refers to the allocation of available resources to known activities over time in order ...

the use of satellite data in an estimation of air temperature (ta) near the earth’s surface has turned into an effective way for a large area of high spatial and temporal resolution. throughout the present study, artificial neural network (ann) as well as m5 model tree were employed to estimate ta in khuzestan province (south west of iran), using satellite remotely sensed land surface temperatu...

Artificial Neural Network (ANN) is an important Artificial Intelligence (AI) and Machine Learning (ML) method used in various remote sensing applications such as image classification, pattern recognition etc.One of important remote sensing applications is the landuse classification i.e. classification of satellite data into various landuse classes such as forest, waterbody, snowcover etc. Landu...

Remote sensing data provides much essential and critical information for monitoring many applications such as image fusion, change detection and land cover classification. This paper proposed about the classification and extraction of spatial features in urban areas for high resolution multispectral satellite image. Spectral information is the foundation of remotely sensed image classification....