![]() Regulating factors differ among colonisation, expansion, and dispersal phases. There is a hierarchy of importance in environmental and biological factors that regulate proliferations with variables such as flow (rivers), fine sediment deposition, nutrients, associated microbes, and grazing identified as key drivers. Studies exploring factors that promote toxic benthic cyanobacterial proliferations are limited to a few species and habitats.Anatoxin‐ and microcystin‐containing mats are most commonly reported (eight and 10 countries, respectively). Toxic proliferations of freshwater benthic cyanobacteria (taxa that grow attached to substrates) occur in streams, rivers, lakes, and thermal and meltwater ponds, and have been reported in 19 countries.It documents monitoring, management, and sampling strategies, and explores mitigation options. This review summarises knowledge on the ecology, toxin production, and impacts of toxic freshwater benthic cyanobacterial proliferations.The aim of this paper is to describe the main characteristics of the Semi-Automatic Classification Plugin for the land cover classification of remote sensing images. The processing of remote sensing data can be computationally intensive, therefore most of the developed tools use Python multiprocessing to exploit the system CPU and RAM by splitting the work among multiple subprocesses. tools for assessing the classification accuracy, refining the classification, or integrating additional data). ![]() ![]() tools for performing the classification of land cover or perform analysis), and postprocessing (i.e. tools for preparing the data to the analysis or other calculations), the processing (i.e. The Semi-Automatic Classification Plugin provides a set of intertwined tools and a user interface for easing and automating the phases of land cover classification, from the download of remote sensing images, to the preprocessing (i.e. The Semi-Automatic Classification Plugin is a Python plugin for the software QGIS (QGIS Development Team, 2021) developed with the overall objective to facilitate land cover monitoring by people whose main field is not strictly remote sensing, but that could benefit from remote sensing analysis.
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