With the significant progress of urbanization, cities and towns are suffering from air pollution,
heat island effects, and other environmental problems. Urban vegetation, especially trees …

The coastal zone offers among the world's most productive and valuable ecosystems and is
experiencing increasing pressure from anthropogenic impacts: human settlements …

Estimation of the soil organic carbon (SOC) content is of utmost importance in understanding
the chemical, physical, and biological functions of the soil. This study proposes machine …

The prediction results of high-performance concrete compressive strength (HPCCS) based
on machine learning methods are seriously influenced by input variables and model …

New concepts for improving the performance of cementitious materials have recently
surfaced due to the advancement in nanotechnology. In this context, nano silica (NS) and …

Synthetic aperture radar (SAR) has great potential for timely monitoring of flood information
as it penetrates the clouds during flood events. Moreover, the proliferation of SAR satellites …

The accurate classification of wetland vegetation is essential for rapid assessment and
management. The Honghe National Nature Reserve (HNNR), located in Northeast China …

In their applications, both deep learning techniques and object-based image analysis (OBIA)
have shown better performance separately than conventional methods on change detection …

When employing remote sensing images, it is challenging to classify vegetation species and
ground objects due to the abundance of wetland vegetation species and the high …

Sentinel-1A synthetic aperture radar (SAR) data present an opportunity for acquiring crop
information without restrictions caused by weather and illumination conditions, at a spatial …