Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics DOI Creative Commons
B. Hejmanowska,

Piotr Kramarczyk

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 240 - 240

Published: Dec. 30, 2024

Classification of remote sensing images using machine learning models requires a large amount training data. Collecting this data is both labor-intensive and time-consuming. In study, the effectiveness pre-existing reference on land cover gathered as part Land Use–Land Cover Area Frame Survey (LUCAS) database Copernicus program was analyzed. The classification carried out in Google Earth Engine (GEE) Sentinel-2 that were specially prepared to account for phenological development plants. performed SVM, RF, CART algorithms GEE, with an in-depth accuracy analysis conducted custom tool. Attention given reliability different metrics, particular focus widely used (ML) metric “accuracy”, which should not be compared commonly “overall accuracy”, due potential significant artificial inflation accuracy. LUCAS 2018 at Level-1 detail estimated 86%. Using updated dataset, best result achieved RF method, 83%. An overestimation approximately 10% observed when reporting average ACC ML instead overall OA metric.

Language: Английский

A comprehensive review of covalent organic frameworks (COFs) and their derivatives in environmental pollution control DOI Creative Commons
Shengbo Ge,

Kexin Wei,

Wanxi Peng

et al.

Chemical Society Reviews, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Covalent organic frameworks (COFs) have gained considerable attention due to their design possibilities as the molecular building blocks that can stack in an atomically precise spatial arrangement.

Language: Английский

Citations

25
Luteolin alleviates cadmium-induced metabolism disorder through antioxidant and anti-inflammatory mechanisms in chicken kidney DOI Creative Commons
Xueru Wang,

Kanglei Zhang,

Waseem Ali

et al.

Poultry Science, Journal Year: 2024, Volume and Issue: 103(7), P. 103817 - 103817

Published: May 1, 2024

Cadmium (Cd) is a common environmental pollutant associated with an increased incidence of renal metabolic diseases. Luteolin (Lut), natural flavonoid, widely used for its multifaceted therapeutic properties in inflammatory However, whether Lut protects against Cd-induced nephrotoxicity still equivocal. The present study investigated the effects supplementation on oxidative stress, inflammation and metabolism their related mechanisms. Therefore, 40 chickens were treated Cd and/or automatic water free food intake 1 mo then kidney tissues collected to explore this issue. In study, exposure induced glycolipid disorders resultant damage by periodic acid Schiff (PAS) staining, Oil Red O total cholesterol (TC), triglyceride (TG), glucose (Glu) levels kidney, which significantly ameliorated Lut. Moreover, also normalized expression factors Cd-disturbed metabolism, improving homeostasis, contributing alleviating damage. Furthermore, demonstrated potential stress enhancing antioxidant capacity inhibiting cytokine production tissues. Mechanistically, activated AMPK/SIRT1/FOXO1 signaling pathway, attenuating responses, ameliorating disturbance. conclusion, these observations demonstrate that treatment activates decreases response, may contribute prevent disorder consequent

Language: Английский

Citations

8
Assessing pesticide residue occurrence and risks in the environment across Europe and Argentina DOI Creative Commons
Abdallah Alaoui, Florian Christ, Nélson Abrantes

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125056 - 125056

Published: Oct. 1, 2024

Language: Английский

Citations

4
Occurrence, persistence and risk assessment of pesticide residues in European wheat fields: a continental scale approach DOI Creative Commons
Andrés Rodríguez-Seijo, Paula Pérez‐Rodríguez, Manuel Arias‐Estévez

et al.

Journal of Hazardous Materials, Journal Year: 2025, Volume and Issue: unknown, P. 138291 - 138291

Published: April 1, 2025

Pesticide residues in agricultural soils represent an environmental concern that requires special attention due to their potential ecological and public health risks. We analyzed 614 pesticides 188 wheat fields across Europe subjected both conventional organic farming systems. At least one pesticide residue was detected 141 soils. Seventy-eight or metabolites were detected. The presence of significantly higher number concentration fileds (up 0.98 mg kg-1) compared organically managed sites 0.40 kg-1). A total 88 % 63 contained two more pesticides. Conversion from does not guarantee will be pesticide-free the short term. Fenbutatin oxide most frequently systems, followed by AMPA. Other substances, such as boscalid, epoxiconazole, diflufenican, tebuconazole, dinoterb, bixafen, DEET, found ≥ 10 samples. Some Persistent Organic Pollutants, including dieldrin, endosulfan sulphate, chlorpyrifos, also Ecological risks conventionally fields, with 46 exhibiting high-risk levels, just 1 fields. Epoxiconazole boscalid substances highest risk levels.

Language: Английский

Citations

0
Beyond Dosage: The Need for More Realistic Research Scenarios to Understand Pesticide Impacts on Agricultural Soils DOI Creative Commons
Judith Riedo, Matthias C. Rillig, Florian Walder

et al.

Journal of Agricultural and Food Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Pesticides play a crucial role in modern agriculture, yet they pose considerable risks to soil health and ecosystem integrity. Current risk assessment research often relies on simplified models, focusing single substances under standardized conditions failing reflect realistic exposure scenarios. We call for paradigm shift toward incorporating agroecological that evaluates pesticide effects more complex dynamic conditions, including mixtures, application frequency, diverse properties, interactions with other environmental stressors. Additionally, multiseasonal long-term persistence of pesticides soils must be considered. By integrating these multidimensional factors, such experimental can yield valuable insights improve frameworks, ensuring accurately represent the complexity agricultural systems support sustainable management practices.

Language: Английский

Citations

0
Assessing Land Cover Changes Using the LUCAS Database and Sentinel Imagery: A Comparative Analysis of Accuracy Metrics DOI Creative Commons
B. Hejmanowska,

Piotr Kramarczyk

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 240 - 240

Published: Dec. 30, 2024

Classification of remote sensing images using machine learning models requires a large amount training data. Collecting this data is both labor-intensive and time-consuming. In study, the effectiveness pre-existing reference on land cover gathered as part Land Use–Land Cover Area Frame Survey (LUCAS) database Copernicus program was analyzed. The classification carried out in Google Earth Engine (GEE) Sentinel-2 that were specially prepared to account for phenological development plants. performed SVM, RF, CART algorithms GEE, with an in-depth accuracy analysis conducted custom tool. Attention given reliability different metrics, particular focus widely used (ML) metric “accuracy”, which should not be compared commonly “overall accuracy”, due potential significant artificial inflation accuracy. LUCAS 2018 at Level-1 detail estimated 86%. Using updated dataset, best result achieved RF method, 83%. An overestimation approximately 10% observed when reporting average ACC ML instead overall OA metric.

Language: Английский

Citations

2