It is challenging to accurately and rapidly extract crops based on the ultra-high spatial
resolution images of uncrewed aerial vehicle (UAV). Object-based image analysis (OBIA) …

In recent years, RS and GIS technologies have played an increasingly important role in
various aspects of rainfall induced landslide research. In order to systematically understand …

A landslide is a kind of geological disaster with high frequency, great destructiveness, and
wide distribution today. The occurrence of landslide disasters bring huge losses of life and …

Landslide extraction is one of the most popular topics in remote sensing. Numerous
techniques have been proposed to manage the landslide identification problem. However …

Machine learning (ML)-based methods of landslide susceptibility assessment primarily focus
on two dimensions: accuracy and complexity. The complexity is not only influenced by …

Most traditional methods have difficulty detecting landslide boundary accurately, and the
existing methods based on deep learning often lead to insufficient training or overfitting due …

The rapid and accurate extraction of wide-area coseismic landslide locations is critical in
earthquake emergencies. At present, the extraction of coseismic landslides is mainly based …

Spatial morphological information (SMI) in geological texts provides critical insights into the
formation, localization, and distribution of geological bodies. However, SMI is often scattered …

Multi-source remote sensing data can provide abundant Earth observation information for
lithology classification and identification, especially in some areas with complex geological …

Landslides can cause severe damage to property and human life. Identifying their locations
and characteristics is crucial for emergency rescue and disaster risk assessment. However …