MULTIDIRECTIONAL USE OF UNMANNED AERIAL VEHICLES IN THE AREA OF SAFETY DOI Creative Commons
Łukasz Kuta,

Kalina Dancewicz,

Anna Bryl

et al.

Zeszyty Naukowe SGSP, Journal Year: 2024, Volume and Issue: 1(92), P. 219 - 237

Published: Dec. 30, 2024

The paper presents a wide range of possibilities for the use drones in terms human safety, theenvironment and technical facilities. In accordance with concept paper, these areas aredivided into four main sources hazards each cases using anunmanned aircraft are presented. Hazards caused by flooding, environment, fire thoseoccurring on construction sites subject to analysis. aim was markareas hazard grid superimposed map an area specialised drone camera.Based this information, it is possible define risk people property.In case depth river spillway determined according width ofthe channel, affecting safety residents town. For environmentalaspect, surface water table its fields, meadows pastureswere determined. This also important from agricultural point view, including determiningthe extent crop damage. fire, enabled assessment damaged building as result high temperatures, ofa situation plan related building’s structure context continueduse. final site. Here, turn, objective tomap occupational risks those working there and, particular, identify ofdangerous, harmful nuisance factors. All diagrams presented confirmed widespreaduse UAVs diagnosis levels. With technology, easier todiagnose develop preventive measures.

Language: Английский

Diagnosis of ecological security and the spatial heterogeneity of its driving factors in the mining-impacted watershed, based on ecosystem health-risk-services framework DOI Creative Commons

Wenjuan Jin,

Zhenxing Bian, Zhichao Dong

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112683 - 112683

Published: Oct. 1, 2024

Language: Английский

Citations

5
Investigating the barriers to drone implementation in sustainable agriculture: A hybrid fuzzy-DEMATEL-MMDE-ISM-based approach DOI

Satender Pal Singh,

Anuj Sharma, Arnab Adhikari

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 371, P. 123299 - 123299

Published: Nov. 12, 2024

Language: Английский

Citations

5
Inversion of Soil Salinity in the Irrigated Region along the Southern Bank of the Yellow River Using UAV Multispectral Remote Sensing DOI Creative Commons
Yuxuan Wang,

Zhongyi Qu,

Wei Yang

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(3), P. 523 - 523

Published: March 3, 2024

Soil salinization is a global issue confronting humanity, imposing significant constraints on agricultural production in the irrigated regions along southern bank of Yellow River. This, turn, leads to degradation ecological environment and inadequate grain yields. Hence, it essential explore magnitude spatial patterns soil promote efficient sustainable development. This study carried out two-year surface sampling experiment encompassing periods before spring irrigation budding, flowering, maturity stages sunflower fields area It employed deep learning conjunction with multispectral remote sensing conducted by UAV estimate salinity levels fields. Following identification sensitive spectral variables through correlation analysis, we proceeded model compare accuracy stability various models, including Transformer model, traditional machine BP neural network (BPNN), random forest (RF), partial least squares regression (PLSR). The findings indicate that precision content (SSC) retrieval saline–alkali land can be significantly enhanced incorporating RE band data. Four SSC inversion models were developed using most suitable variables, resulting precise inversion. order based was > BPNN RF PLSR. Notably, achieved prediction exceeding 0.8 for both training test datasets, as indicated R2 values. each period follows: budding flowering stages. Additionally, higher bare stage compared crop cover stage. exhibited RMSE values 2.41 g kg−1 0.84 salt results aligning closely field-measured showed integrated data enhances efficiency within south

Language: Английский

Citations

3
Quantifying Leachate Discharge and Assessing Environmental Risks of Gully-Type Coal-Based Solid Waste Dumps in Small Watersheds: A Refined Hydrological Modeling Approach for Mitigation Strategies DOI
Xiaofei Wang,

Chaoli Zhao,

Guowei Huang

et al.

Water Research, Journal Year: 2025, Volume and Issue: 282, P. 123655 - 123655

Published: April 16, 2025

Language: Английский

Citations

0
Microtopography-Guided precision restoration of sandy lands through UAV: A case study in Hunshandake Sandy Land, China DOI

Wenhe Chen,

Weicheng Sun, Zhisheng Wu

et al.

CATENA, Journal Year: 2024, Volume and Issue: 247, P. 108489 - 108489

Published: Oct. 24, 2024

Language: Английский

Citations

1
Formation of vegetation at a reclaimed clay quarry in the Middle Ural taiga forest area (on the example of a quarry in Yekaterinburg) DOI Open Access

Regina Osipenko,

А.Е. Осипенко,

Natal'ya Ushakova

et al.

Forestry Engineering Journal, Journal Year: 2024, Volume and Issue: 14(2), P. 70 - 87

Published: Aug. 30, 2024

The study of vegetation on disturbed lands is necessary to solve environmental problems and restore the natural potential such areas as soon possible. paper presents a taxation characterization 15-30-year-old mixed stands artificial origin growing in reclaimed clay quarry. Species composition, projective cover aboveground phytomass absolutely dry form living ground were determined. Field data collected using common methods: sample plots survey plots. 39 species recorded, which classified into 13 families 5 cenotypes. proportion distribution by cenotypes, well ratio are presented. degree floristic composition commonality studied communities herbaceous plants, determined Jaccard coefficient, small (from 0.24 0.57). It was established that conditions research area at quarries, it possible highly productive plantations with predominance coniferous species. At plots, dominated from legumes (Fabaceae), bluegrasses (Poaceae), Asteraceae (Asteraceae). dominant terms different following: red clover (Trifolium pratense L.), dandelion (Taraxacum officinale Wigg.), tufted vetch (Vicia cracca velvety bentgrass (Agrostis canina smooth meadow-grass (Poa pratensis meadow vetchling (Lathyrus wood millet (Milium effusum coltsfoot (Tussilago farfara sylvatica L.). Plants forest-meadow cenotypes predominate under canopy stands. latter an indication forest environment has not been formed During biological stage quarry reclamation Middle Ural Taiga area, recommended sow plants (Fabaceae) bluegrass most widespread within

Language: Английский

Citations

0
MULTIDIRECTIONAL USE OF UNMANNED AERIAL VEHICLES IN THE AREA OF SAFETY DOI Creative Commons
Łukasz Kuta,

Kalina Dancewicz,

Anna Bryl

et al.

Zeszyty Naukowe SGSP, Journal Year: 2024, Volume and Issue: 1(92), P. 219 - 237

Published: Dec. 30, 2024

The paper presents a wide range of possibilities for the use drones in terms human safety, theenvironment and technical facilities. In accordance with concept paper, these areas aredivided into four main sources hazards each cases using anunmanned aircraft are presented. Hazards caused by flooding, environment, fire thoseoccurring on construction sites subject to analysis. aim was markareas hazard grid superimposed map an area specialised drone camera.Based this information, it is possible define risk people property.In case depth river spillway determined according width ofthe channel, affecting safety residents town. For environmentalaspect, surface water table its fields, meadows pastureswere determined. This also important from agricultural point view, including determiningthe extent crop damage. fire, enabled assessment damaged building as result high temperatures, ofa situation plan related building’s structure context continueduse. final site. Here, turn, objective tomap occupational risks those working there and, particular, identify ofdangerous, harmful nuisance factors. All diagrams presented confirmed widespreaduse UAVs diagnosis levels. With technology, easier todiagnose develop preventive measures.

Language: Английский

Citations

0