Artificial Intelligence

Advances in environmental engineering and green technologies book series, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 18

Published: Dec. 30, 2023

Earth observations have become a developing trend over the last decade because of their ability to enable real-time tracking and forecasting various environmental phenomena, including landslides, drought, floods, wildfires. However, conventional approaches in observation relied on guide processing or human interpretation statistics. Via mixing AI, statement's achievement has progressed significantly. AI offers automatic timely analysis significant volumes faraway sensing satellite TV for computer facts, considering natural events approaches. The software Remark enabled several advantages, improved accuracy mapping classification gadgets, detection hobby which include homes, roads, forests, changes land use cover.

Language: Английский

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Monitoring Water Diversity and Water Quality with Remote Sensing and Traits

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2425 - 2425

Published: July 1, 2024

Changes and disturbances to water diversity quality are complex multi-scale in space time. Although situ methods provide detailed point information on the condition of bodies, they limited use for making area-based monitoring over time, as aquatic ecosystems extremely dynamic. Remote sensing (RS) provides data cost-effective, comprehensive, continuous standardised characteristics changes from local regional scales scale entire continents. In order apply better understand RS techniques their derived spectral indicators quality, this study defines five that can be monitored using RS. These traits, genesis, structural water, taxonomic functional water. It is essential record traits derive other four Furthermore, only most important interface between approaches. The these technologies presented detail discussed numerous examples. Finally, current future developments advance trait approach modelling, prediction assessment a basis successful management strategies.

Language: Английский

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Monitoring Water Quality Parameters in Small Rivers Using SuperDove Imagery

Water, Journal Year: 2024, Volume and Issue: 16(5), P. 758 - 758

Published: March 2, 2024

Freshwater ecosystems provide an array of provisioning, regulating/maintenance, and cultural ecosystem services. Despite their crucial role, freshwater are exceptionally vulnerable due to changes driven by both natural human factors. Water quality is essential for assessing the condition ecological health ecosystems, its evaluation involves various water parameters. Remote sensing has become efficient approach retrieving mapping these parameters, even in optically complex waters such as small rivers. This study specifically focuses on modelling two non-optically active dissolved oxygen (DO) electrical conductivity (EC), integrating 3 m PlanetScope satellite imagery with data from real-time situ remote monitoring sensors across rivers Thrace, Northeast Greece. We employed three different experimental setups using a support vector regression (SVR) algorithm: ‘Multi-seasonal Individual Sensor’ (M-I-S) individual sensor analysis seasons, ‘Multi-seasonal—All Sensors’ (M-A-S) all seasons sensors, ‘Seasonal—All (S-A-S) focusing per-season data. The models incorporating multiple resulted R2 values 0.549 0.657 DO EC, respectively. A multi-seasonal per 0.885 0.849 EC. Meanwhile, seasonal approach, achieved 0.805 0.911 These results underscore significant potential combining machine learning model parameters monitor over river surfaces.

Language: Английский

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Use of Unmanned Surface Vehicles (USVs) in Water Chemistry Studies

Sensors, Journal Year: 2024, Volume and Issue: 24(9), P. 2809 - 2809

Published: April 28, 2024

Unmanned surface vehicles (USVs) equipped with integrated sensors are a tool valuable to several monitoring strategies, offering enhanced temporal and spatial coverage over specific timeframes, allowing for targeted examination of sites or events interest. The elaboration environmental programs has relied so far on periodic spot sampling at locations, followed by laboratory analysis, aiming the evaluation water quality catchment scale. For this purpose, automatic telemetric stations parameters have been installed Institute Marine Biological Resources Inland Waters Hellenic Centre Research (IMBRIW-HCMR) within Greek rivers lakes, providing continuous possibilities. In present work, USVs were deployed Athens Water Sewerage Company (EYDAP) as cost-effective bodies interest, emphasis fluctuations chlorophyll α, electrical conductivity, dissolved oxygen pH, observed in Koumoundourou Lake Acheloos, Asopos Kifissos. effectiveness an innovative heavy metal (HM) system USV situ measurements copper lead was also evaluated herewith. results obtained demonstrate advantages USVs, setting base their application real-time chemical including metals. Simultaneously, requirements accuracy sensitivity improvement HM noted, order permit full exploitation USVs’ capacities.

Language: Английский

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Water Quality of Eastern Mediterranean Catchments Subject to Different Environmental Pressures Employing Autonomous Unmanned Surface Vehicles (USVs)

Published: Feb. 20, 2024

Environmental monitoring programs rely on periodic spot sampling at specific locations, followed by laboratory analysis, aiming the evaluation of water quality a catchment scale. For this purpose, automatic telemetric stations for parameters have been installed Institute Marine Biological Resources and Inland Waters Hellenic Centre Research (IMBRIW-HCMR) within several Greek rivers lakes, providing continuous temporal possibilities. Nevertheless, employment unmanned surface vehicles (USV) equipped with integrated sensors represents tool valuable to strategies, offering enhanced spatial coverage over timeframes, allowing targeted examination sites or events interest. The USVs deployed Athens Water Sewerage Company (EYDAP) as cost-effective environmental bodies interest, emphasis fluctuations chlorophyllα, electrical conductivity, dissolved oxygen pH, observed in Koumoundourou Lake Acheloos, Asopos Kifissos. effectiveness an innovative heavy metal (HM) system USV thein situ determination copper lead was also evaluated herewith. results obtained demonstrate that both timely detection potential pollution from anthropogenic activities natural processes well inland waters are made feasible through USV.

Language: Английский

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Cost-effectiveness of erosion mitigation to meet water clarity targets in the Manawatū-Whanganui Region of New Zealand

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 359, P. 120991 - 120991

Published: May 1, 2024

Language: Английский

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Tracking Water Quality and Macrophyte Changes in Lake Trasimeno (Italy) from Spaceborne Hyperspectral Imagery

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(10), P. 1704 - 1704

Published: May 11, 2024

This work aims to show the potential of imaging spectroscopy in assessing water quality and aquatic vegetation Lake Trasimeno, Italy. Hyperspectral reflectance data from PRISMA, DESIS EnMAP missions (2019–2022, summer periods) were compared with situ measurements WISPStation used as inputs for product generation algorithms. The bio-optical model BOMBER was run simultaneously retrieve parameters (Chlorophyll-a (Chl-a) Total Suspended Matter, (TSM)) coverage submerged emergent macrophytes (SM, EM); value-added products, such Phycocyanin concentration maps, generated through a machine learning approach. results showed radiometric agreement between satellite data, R2 > 0.9, Spectral Angle < 10° mapping errors 30%. Both SM EM varied significantly 2019 (135 ha, 0 respectively) 2022 (2672 343 ha), likely influenced by changes rainfall lake levels. areas greatest variability Chl-a TSM identified littoral zones western side lake, while highest variation fractional cover density observed south-eastern region; this information could support authorities’ monitoring activities. To end, further developments improve reference field validation products are recommended.

Language: Английский

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Data analytics and artificial intelligence in Earth resource management

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 17

Published: Nov. 15, 2024

Language: Английский

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Perceived barriers and advances in integrating earth observations with water resources modeling

Remote Sensing Applications Society and Environment, Journal Year: 2023, Volume and Issue: 33, P. 101119 - 101119

Published: Dec. 9, 2023

Advances in computing, collection, and sharing of Earth Observations (EOs) have significantly improved the potential for integrating EO water resources models. Inadequate observational data systems simulated been a persistent limitation developing robust Although various datasets available decades, they under-utilized modeling. This can be due to sensor product limitations, including spatial, spectral, temporal resolutions, reluctance community adopt state-of-art quickly. Motivated by dual agenda engaging on aspects EOs with modeling understanding likely factors that limit deeper integration management, we investigated communities' perception integration. paper summarizes findings web-based survey conducted at annual ASCE-EWRI (American Society Civil Engineers-Environmental Water Resources Institute) International Congress 2022. The analysis responses (n = 74) identified limited spatial resolution, atmospheric cloud interference, lack in-situ validation as highest perceived barriers management. Perceptions among different groups participants even within were different. For example, often differed between researchers non-researchers (e.g., policymakers practitioners). There differences remote-sensing research community. Even communities, disparities existed perceptions respondents who also knowledgeable about remote sensing those didn't. These observations highlighted need intentionally develop convergent group domain integrate disciplines involved capitalize advancements

Language: Английский

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In Situ IoT Development and Application for Continuous Water Monitoring in a Lentic Ecosystem in South Brazil

Water, Journal Year: 2023, Volume and Issue: 15(13), P. 2310 - 2310

Published: June 21, 2023

The monitoring of water resources through conventional methods, related to a manual process when performing the sample collection, followed by laboratory analysis, presents some difficulties concerning logistics process, such as access interior lake, in addition often being based on small number samples. concept internet things (IoT) is used here collect data five parametric probes contained floating station located inside lake and inform them real time continuously. main objective this research demonstrate applicability IoT continuous lentic environment. Therefore, it necessary develop tool for this. Upon reaching objective, advantages observed confirmed that paradigm an essential resource, justifying natural tendency establish itself there need efficiently Furthermore, experimental result proves concept’s efficiency, agility, reliability environmental issues, especially regarding most significant indispensable resource planet, water.

Language: Английский

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