Due to the abundant features of high spatial resolution (HSR) remote sensing images,
change detection of these images is crucial to understanding the land-use and land-cover …

Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

The recent success of attention mechanism-driven deep models, like vision transformer (ViT)
as one of the most representatives, has intrigued a wave of advanced research to explore …

Basic monitoring of the marine environment is crucial for the early warning and assessment
of marine hydrometeorological conditions, climate change, and ecosystem disasters. In …

Harmful algal blooms (HABs) occur frequently in Chinese coastal areas, causing major
economic losses and seriously threatening coastal marine environments. HAB research …

In recent years, several powerful machine learning (ML) algorithms have been developed
for image classification, especially those based on ensemble learning (EL). In particular …

Wetland vegetation has experienced significant loss and degradation over the last few
decades. Although volumes of studies involve wetlands, limited attention has been paid to …

Mangroves are among the most productive ecosystems in existence, with many ecological
benefits. Therefore, generating accurate thematic maps from mangrove ecosystems is …

Coastlines are important basic geographic elements and map** their spatial and attribute
changes can help monitor, model and manage coastal zones. Traditional studies focused on …

Abstract Google Earth Engine (GEE) is a geospatial processing platform based on geo-
information applications in the 'cloud'. This platform provides free access to huge volumes of …