In recent years, artificial intelligence (AI) has been increasingly put into use to address cities'
economic, social, environmental, and governance challenges. Thanks to its advanced …

Drones, also known as unmanned aerial vehicles (UAVs), have gained numerous
applications due to their low cost, ease of use, vertical takeover and landing, and ability to …

Owing to the limitation of spatial resolution and spectral resolution, deep learning methods
are rarely used for the classification of multispectral remote sensing images based on the …

This study aimed to improve the performance of Gaussian process regression (GPR)
estimation through kernel convolution for relative dynamic modulus (RDM) of the freeze …

Although many authors have observed a degradation in greening cover alongside an
increase in the built-up areas, resulting in a deterioration of the essential environmental …

Groundwater potential delineation is essential for efficient water resource utilization and
long-term development. The scarcity of potable and irrigation water has become a critical …

The enhancement of regional comprehensive development ability is significantly impacted
by the study on the implementation effect of regional integration strategies. The integration …

Recent advancements in deep learning have spurred the development of numerous novel
semantic segmentation models for land cover mapping, showcasing exceptional …

Timely and effective access to agricultural land-change information is of great significance
for the government when formulating agricultural policies. Due to the vast area of Shandong …

Woody vegetation landscape features, such as hedges, tree patches, and riparian
vegetation, are important elements of landscape and biotic diversity. For the reason that …