Increasing heatwave intensity and mortality demand timely and accurate heatwave
prediction. The present study focused on teleconnection, the influence of distant land and …

Optimizing color consistency across multiple images is a crucial step in creating accurate
digital orthophoto maps (DOMs). However, current color balance methods that rely on a …

Filling gaps caused by thick cloud cover or sensor malfunctions has always posed a
significant challenge in the preprocessing of optical remote sensing images. The concept of …

The invasion of Spartina alterniflora has posed significant threats to the ecosystem health
and biodiversity in coastal wetlands in China. In recent years, China has enacted large …

Monitoring agricultural drought in a semi-arid environment is critical, especially during the
growing season, as it negatively impacts vegetation health and crop yield. This study aimed …

According to climate statistics, clouds cover more than a third of the Earth's land surface on
average. This cloud coverage obstructs optical satellite imagery, resulting in a loss of …

Multi-resolution image fusion is a key problem for real-time satellite imaging, which has a
central role in detecting and monitoring the intensity of key natural phenomena such as …

The rapid development of satellite technology has resulted in an exponential growth in the
availability of high-resolution satellite images, which presents both opportunities and …

Dynamic range compression of high-radiometric resolution remote sensing images involves
compressing the grayscale value range to 0~ 255. This process is a necessary …