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K-means and alternative clustering methods in modern power systems
As power systems evolve by integrating renewable energy sources, distributed generation,
and electric vehicles, the complexity of managing these systems increases. With the …
and electric vehicles, the complexity of managing these systems increases. With the …
Ocean water quality monitoring using remote sensing techniques: A review
Abstract Ocean Water Quality (OWQ) monitoring provides insights into the quality of water in
marine and near-shore environments. OWQ measurements can contain the physical …
marine and near-shore environments. OWQ measurements can contain the physical …
Challenges and limitations of remote sensing applications in northern peatlands: present and future prospects
This systematic literature review (SLR) provides a comprehensive overview of remote
sensing (RS) applications in northern peatlands from 2017 to 2022, utilising various …
sensing (RS) applications in northern peatlands from 2017 to 2022, utilising various …
[HTML][HTML] Remote sensing and machine learning tools to support wetland monitoring: A meta-analysis of three decades of research
Despite their importance to ecosystem services, wetlands are threatened by pollution and
development. Over the last few decades, a growing number of wetland studies employed …
development. Over the last few decades, a growing number of wetland studies employed …
[HTML][HTML] Wetland map** in great lakes using Sentinel-1/2 time-series imagery and DEM data in Google Earth Engine
The Great Lakes (GL) wetlands support a variety of rare and endangered animal and plant
species. Thus, wetlands in this region should be mapped and monitored using advanced …
species. Thus, wetlands in this region should be mapped and monitored using advanced …
Probabilistic coastal wetland map** with integration of optical, SAR and hydro-geomorphic data through stacking ensemble machine learning model
The present study focuses on preparing the wetland map using earth observation data and
applying a novel ensemble model. Eight advanced machine learning algorithms were …
applying a novel ensemble model. Eight advanced machine learning algorithms were …
Comparing Pixel-and Object-Based Approaches for Classifying Multispectral Drone Imagery of a Salt Marsh Restoration and Reference Site
Monitoring salt marshes with remote sensing is necessary to evaluate their state and
restoration. Determining appropriate techniques for this can be overwhelming. Our study …
restoration. Determining appropriate techniques for this can be overwhelming. Our study …
Using UAV multispectral photography to discriminate plant species in a seep wetland of the Fynbos Biome
Wetlands harbour a wide range of vital ecosystems. Hence, map** wetlands is essential
to conserving the ecosystems that depend on them. However, the physical nature of …
to conserving the ecosystems that depend on them. However, the physical nature of …
[HTML][HTML] Effects of multi-growth periods UAV images on classifying karst wetland vegetation communities using object-based optimization stacking algorithm
Combining machine learning algorithms with multi-temporal remote sensing data for fine
classification of wetland vegetation has received wide attention from researchers. However …
classification of wetland vegetation has received wide attention from researchers. However …
Application of remote sensing data in large-scale monitoring of wetlands
SS Shinkarenko, SA Bartalev - Cosmic Research, 2024 - Springer
The present review examines existing technologies for map** wetland ecosystems (WEs)
based on remote sensing data. WEs are the most valuable ecosystems with a high …
based on remote sensing data. WEs are the most valuable ecosystems with a high …