Recent applications of AI to environmental disciplines: A review

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 906, P. 167705 - 167705

Published: Oct. 11, 2023

Language: Английский

---

Correcting for the effects of class imbalance improves the performance of machine-learning based species distribution models

Ecological Modelling, Journal Year: 2023, Volume and Issue: 483, P. 110414 - 110414

Published: July 13, 2023

Language: Английский

---

The Use of Unoccupied Aerial Systems (UASs) for Quantifying Shallow Coral Reef Restoration Success in Belize

Drones, Journal Year: 2023, Volume and Issue: 7(4), P. 221 - 221

Published: March 23, 2023

There is a growing need for improved techniques to monitor coral reef restoration as these ecosystems and the goods services they provide continue decline under threats of anthropogenic activity climate change. Given difficulty fine-scale requirements survival spread outplanted branching fragments, Unoccupied Aerial Systems (UASs) an ideal platform spatially document quantitatively track growth patterns on shallow systems. We present findings from monitoring combining UAS data with object-oriented segmentation open-source GIS analysis quantify areal extent species-specific coverage across ~one hectare fringing over one-year period (2019–2020) in Laughing Bird Caye National Park, southern Belize. The results demonstrate detection cover changes three species (Acropora cervicornis, Acropora palmata, prolifera) around caye since 2006, overall target changing 2142.58 2400.64 square meters 2019 2020. Local ecological knowledge gathered practitioners was used validate classified taxa interest within imagery collected. Our methods offer approach that provides insight into at fine scale better inform adaptive management practices future actions both park other replenishment sites.

Language: Английский

---

Microplastics in the coral ecosystems: A threat which needs more global attention

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 249, P. 107012 - 107012

Published: Jan. 17, 2024

Language: Английский

---

Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats

Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(1), P. 80 - 80

Published: Jan. 5, 2025

In the coastal zone, two types of habitats—linear and areal—are distinguished. The main differences between both are their shape structure hydro- litho-dynamic, salinity, ecological gradients. Studying linear littoral habitats is essential for interpreting ’coastal squeeze’ effect. study’s objective was to assess short-term behavior soft cliffs as during calm season storm events in example Olandų Kepurė cliff, located on a peri-urban protected seashore (Baltic Sea, Lithuania). approach combined surveillance cliff using unmanned aerial vehicles (UAVs) with data analysis an ArcGIS algorithm specially adjusted habitats. authors discerned forms—cliff base cavities scarp slumps. slumps more widely spread. It particularly noticeable at beginning spring–summer period when difference occurrence forms 3.5 times. contrast, proliferate spring. This phenomenon might be related seasonal Baltic Sea level rise. conclusion that 55 m long cells optimal analyzing UAV GIS.

Language: Английский

---

Machine-Learning for Mapping and Monitoring Shallow Coral Reef Habitats

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(11), P. 2666 - 2666

Published: June 2, 2022

Mapping and monitoring coral reef benthic composition using remotely sensed imagery provides a large-scale inference of spatial temporal dynamics. These maps have become essential components in marine science management, with their utility being dependent upon accuracy, scale, repeatability. One the primary factors that affects map is choice machine-learning algorithm used to classify classes. Current algorithms detect changes over time achieve moderate high overall accuracies yet not demonstrated spatio-temporal generalisation. The inability generalise limits scalability only those reefs where situ reference data samples are present. This limitation becoming more pronounced given rapid increase availability (daily) resolution (<5 m) multispectral satellite imagery. Therefore, there presently need identify capable generalisation order mapping change detection. review focuses on most commonly applied then introduces convolutional neural networks recently an ability spatially temporally relation mapping; recurrent field land cover A clear conclusion this existing network frameworks hold potential increasing detection due generalise.

Language: Английский

---

Ocean Remote Sensing Techniques and Applications: A Review (Part II)

Water, Journal Year: 2022, Volume and Issue: 14(21), P. 3401 - 3401

Published: Oct. 26, 2022

As discussed in the first part of this review paper, Remote Sensing (RS) systems are great tools to study various oceanographic parameters. Part I described different passive and active RS six applications ocean studies, including Ocean Surface Wind (OSW), Current (OSC), Wave Height (OWH), Sea Level (SL), Tide (OT), Ship Detection (SD). In II, remaining nine important for environments, Iceberg, Ice (SI), temperature (SST), Salinity (OSS), Color (OC), Chlorophyll (OCh), Oil Spill (OOS), Underwater Ocean, Fishery comprehensively reviewed discussed. For each application, applicable systems, their advantages disadvantages, Machine Learning (ML) techniques, several case studies

Language: Английский

---

Opportunities and challenges of machine learning in bioprocesses: Categorization from different perspectives and future direction

Bioresource Technology, Journal Year: 2022, Volume and Issue: 370, P. 128518 - 128518

Published: Dec. 21, 2022

Recent advances in machine learning (ML) have revolutionized an extensive range of research and industry fields by successfully addressing intricate problems that cannot be resolved with conventional approaches. However, low interpretability incompatibility make it challenging to apply ML complicated bioprocesses, which rely on the delicate metabolic interplay among living cells. This overview attempts delineate applications bioprocess from different perspectives, their inherent limitations (i.e., uncertainties prediction) were then discussed unique supplement models. A clear classification can made depending purpose (supervised vs unsupervised) per application, as well system boundaries (engineered natural). Although a limited number hybrid approaches meaningful outcomes (e.g., improved accuracy) are available, there is still need further enhance interpretability, compatibility, user-friendliness

Language: Английский

---

Exploring the consequences of kelp removal: a review shows we are missing a broader perspective

Biodiversity and Conservation, Journal Year: 2024, Volume and Issue: 33(2), P. 401 - 437

Published: Jan. 25, 2024

Language: Английский

---

Instant plastic waste detection on shores using laser-induced fluorescence and associated hyperspectral imaging

Optical and Quantum Electronics, Journal Year: 2024, Volume and Issue: 56(5)

Published: March 25, 2024

Abstract Plastic pollution is a rising environmental issue, with millions of tons plastic debris collecting in the world's seas and on its shores. Hyperspectral imaging (HSI) has become increasingly widely used as more precise approach that can identify targets remote sensing aquatic missions. The interference from other beach materials, need for proper identification litter types make identifying dumped plastics sand-surrounded beaches challenging. This study lays groundwork physical laboratory setting images captured by hyperspectral (HS) imager. suggested testing setup included development fluorescence signature target theater operations (low-density polyethylene (LD-PE) wood surrounded sand) detecting polymers simulated environment using laser-induced (LIF) approach. Initially broadband-spectrum light, strong sample diffuse reflectance contrast observed at wavelengths between 400 460 nm. Next, dedicated LIF system discovery was developed an ultraviolet (UV) laser source. Initial findings show there distinct signal 450 nm 750 wood. Our pilot studies support current efforts to determine optimum spectral these will appear clarity shorelines inexpensive imagery combined our UV approach, which may have impact applications detection pollution. knowledge gained this be construct reliable aerial conventional cameras waste monitoring management.

Language: Английский

---