Information regarding the current status of urban green space is crucial for urban land‐use
planning and management. This study proposes a remote sensing and data‐driven solution …

Environmental degradation and loss of biodiversity occur widely in marine and coastal
regions. The coastal ecosystems have diverse components, including mammals …

Land cover classification is a vital task in remote sensing to emerging demands in global
and echo-friendly environmental applications. This type of analysis will empower with …

The most commonly used model for analyzing satellite imagery is the Support Vector
Machine (SVM). Since there are a large number of possible variables for use in SVM, this …

Remote sensing techniques has been widely used for detecting water bodies in especially
wetlands. Different classification methods and water indices has used for this purpose and …

In the urban areas, pollution and over-population are one of the major concern for smart city
development. Trees in an urban area are extremely important as they provide shelter …

Rapid urbanization in cities can result in a decrease in green urban areas. Reductions in
green urban infrastructure pose a threat to the sustainability of cities. Up-to-date maps are …

A Smart City understands the infrastructure, facilities, and schemes open to its citizens.
According to the UN report, at the end of 2050, more than half of the rural population will be …

In order to realize the intelligence of underwater robots, this exploration proposes a
submersible vision system based on neurorobotics to obtain the target information in …

The human impact on the coastal ecosystems is a global environmental concern. Due to the
growing urbanization, industrialization, and transportation, this impact on the living and non …