The use of multispectral satellite imagery for water monitoring is a fast and cost-effective
method that can benefit from the growing availability of medium–high-resolution and free …

The coastal zone represents a unique interface between land and sea, and addressing the
ecological crisis it faces is of global significance. One of the most fundamental and effective …

Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …

Semantic segmentation is an essential part of deep learning. In recent years, with the
development of remote sensing big data, semantic segmentation has been increasingly …

Accurate and frequent updates of surface water have been made possible by remote
sensing technology. Index methods are mostly used for surface water estimation which …

The ** River, located in northern Thailand, is facing various challenges due to the impacts
of climate change, dam operations, and sand mining, leading to riverbank erosion and …

Lake Urmia is the 20th largest lake and the second largest hyper saline lake (before
September 2010) in the world. It is also the largest inland body of salt water in the Middle …

Plastic litter floating in the ocean is a significant problem on a global scale. This study
examines whether Sentinel-2 satellite images can be used to identify plastic litter on the sea …

We present a comprehensive critical review of well-established satellite remote sensing
water indices and offer a novel, robust Augmented Normalized Difference Water Index …

Mangroves are an ecologically and economically valuable ecosystem that provides a range
of ecological services, including habitat for a diverse range of plant and animal species …