Pollutant removal performance of an integrated system that combines a baffled vertical-flow wetland and a scenic water body
Sign Up to like & getrecommendations! Published in 2018 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-018-3507-8
Abstract: Stormwater treatment requires effective control measures and development of low-cost and high-efficiency technologies. An integrated system is developed by combining a baffled vertical-flow constructed wetland (BVFCW) and a scenic water body for stormwater quality control… read more here.
Keywords: system; water body; integrated system; removal ... See more keywords
The influence of human activity and morphological characteristics of beaches on plastic debris distribution along the Caspian Sea as a closed water body
Sign Up to like & getrecommendations! Published in 2019 at "Environmental Science and Pollution Research"
DOI: 10.1007/s11356-019-05790-y
Abstract: The Caspian Sea is the largest land-locked lake in the world that includes numerous endemic species. Because of its enclosed nature, the pollutants entering this water body become entrapped. The present paper examines the influence… read more here.
Keywords: water body; caspian sea; plastic debris; influence human ... See more keywords
Selecting features for LULC simultaneous classification of ambiguous classes by artificial neural network
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing Applications: Society and Environment"
DOI: 10.1016/j.rsase.2021.100616
Abstract: Abstract The anthropic activities carried out in the vicinity of the water body trigger various harmful effects on flora, fauna, and human health. The release of effluents and nutrients renders the aquatic environment increasingly eutrophic,… read more here.
Keywords: water; artificial neural; vegetation; lulc ... See more keywords
Water-Body Segmentation for Multi-Spectral Remote Sensing Images by Feature Pyramid Enhancement and Pixel Pair Matching
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2021.1906981
Abstract: ABSTRACT Water-body image segmentation is a fundamental operation of many important applications, such as water resources allocation, ecological assessment, flood control, etc. Mainstream neural network based segmentation algorithms are still far from satisfactory for segmenting… read more here.
Keywords: network; water body; water; segmentation ... See more keywords
Assessment of trace metal contamination and its anthropogenic influence in the sediments of an urban water body in Kozhikode, Kerala, India
Sign Up to like & getrecommendations! Published in 2018 at "Environmental Forensics"
DOI: 10.1080/15275922.2018.1519737
Abstract: Abstract Urban water bodies in India receive pollution loads from numerous sources. Identification of the polluter in such cases is a difficult process. An investigation of forensic nature is needed for this. The present study… read more here.
Keywords: water body; water; contamination; urban water ... See more keywords
Variation of water body in Dongting Lake from in situ measurements and MODIS observations in recent decades
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2021.1907464
Abstract: ABSTRACT Identifying the spatiotemporal dynamics of the water body in Dongting Lake, the second largest freshwater lake in China, is crucial for water resource management. In this study, the variations of the water body were… read more here.
Keywords: dongting lake; body dongting; variation; water body ... See more keywords
FWENet: a deep convolutional neural network for flood water body extraction based on SAR images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2021.1995513
Abstract: ABSTRACT As one of the most severe natural disasters in the world, floods caused substantial economic losses and casualties every year. Timely and accurate acquisition of flood inundation extent could provide technical support for relevant… read more here.
Keywords: body extraction; water body; extraction; sar images ... See more keywords
Geometry accuracy of DSM in water body margin obtained from an RGB camera with NIR band and a multispectral sensor embedded in UAV
Sign Up to like & getrecommendations! Published in 2018 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2018.1547989
Abstract: ABSTRACT The photogrammetry techniques are known to be accessible due to its low cost, while the geometric accuracy is a key point to ensure that models obtained from photogrammetry are a feasible solution. This work… read more here.
Keywords: band multispectral; water body; accuracy; geometry ... See more keywords
Estimating vulnerability of water body using Sentinel-2 images and environmental modelling: the study case of Bracciano Lake (Italy)
Sign Up to like & getrecommendations! Published in 2019 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2019.1689796
Abstract: ABSTRACT Due to the concomitance of several factors related to progressive climate changes and to increased water management for anthropogenic usage, drastic fall in level of Bracciano Lake, a volcanic lake, 30 km northwest of… read more here.
Keywords: water body; water; bracciano lake; vulnerability ... See more keywords
MRSE-Net: Multiscale Residuals and SE-Attention Network for Water Body Segmentation From Satellite Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3185245
Abstract: Automatic extraction of water bodies from various satellite images containing complex targets is a very important and challenging task in remote sensing and image interpretation. In recent years, convolutional neural networks (CNNs) have become an… read more here.
Keywords: water; mrse net; water body; segmentation ... See more keywords
Multiscale Refinement Network for Water-Body Segmentation in High-Resolution Satellite Imagery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2926412
Abstract: Water-body segmentation in high-resolution satellite imagery is challenging because of the significant variations in the appearance, size, and shape of water bodies. In this letter, a novel multiscale refinement network (MSR-Net) is proposed for water-body… read more here.
Keywords: multiscale refinement; body segmentation; water; segmentation ... See more keywords