Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022

Resources Policy, Journal Year: 2023, Volume and Issue: 86, P. 104250 - 104250

Published: Oct. 1, 2023

Language: Английский

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Topic modelling of the wetland condition assessment literature reveals trends, key gaps, and opportunities for combining different assessment techniques

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113141 - 113141

Published: Jan. 30, 2025

Language: Английский

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Tradeoffs among multi-source remote sensing images, spatial resolution, and accuracy for the classification of wetland plant species and surface objects based on the MRS_DeepLabV3+ model

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102594 - 102594

Published: April 8, 2024

Classification of wetland plant species (PlatSpe) and surface objects (SurfObj) in remote sensing images faces significant challenges due to the high diversity PlatSpe fragmented nature SurfObj. Unmanned aerial vehicle (UAV) satellite are primary data sources for classification However, there is still insufficient research on effect various spatial resolutions results. This study essentially focuses Huixian Wetland Guilin, Guangxi, China through utilizing UAV with varying as sources. To this end, MRS_DeepLabV3+ model constructed based multi-resolution segmentation DeepLabV3+, SurfObj appropriately classified model. The obtained results reveal that: (1) optimal scale parameter (SP) capable achieving higher accuracy compared DeepLabV3+. SPs both gradually lessen decreasing resolution, require larger images. (2) In image models, OA kappa exhibit a trend reduction resolution. (3) overall accuracies models superior resolution intervals 2 16 m. investigation can be regarded valuable reference selecting classification.

Language: Английский

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Analysis of spatial–temporal evolution trends and influential factors of desert-oasis thermal environment in typical arid zone: The case of Turpan–Hami region

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110747 - 110747

Published: Aug. 10, 2023

As a typical geographic landscape unit in the arid zone of northwest China, distribution thermal environment substratum desert-oasis is great significance to monitoring ecological and quality human habitat region. The purpose this research reveal spatial–temporal evolution pattern desert–oasis Turpan–Hami region from 2005 2020 its trend changes, investigate relationship between natural factors conduct long time series analysis. Firstly, accuracy MODIS land surface temperature (LST) data combined with site was verified. Secondly, mean-standard deviation method used identify desert heat island oasis cold zones. Again, change trends are explored by using standard ellipse spatial autocorrelation use/land cover (LULC) types. Finally, based on multi-source remote sensing data, selected explore their correlation Pearson results show that (1) zones distributed areas periphery urban built-up Gaochang District, Shanshan County Yizhou District Hami Region. concentrated mainly because vegetation coverage higher than peripheral areas. (2) development characteristics extremely high (EHT) (HT)zone "southeast-northeast-northwest" "southeast-northwest" respectively, area construction 16a increased 0.31%. This indicates closely related LULC degree urbanization development. (3) From four–period image P < 0.001 Z > 2.58, displays positive Moran's I values 0.45, 0.54, 0.47, 0.45. (4) Temperature (Tem), downward longwave radiation (LWdown), nighttime light intensity (NPP) all exhibited correlations LST significant (p 0.05); albedo negative grassland woodland regions 0.05).

Language: Английский

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Detecting Long-Term Series Eco-Environmental Quality Changes and Driving Factors Using the Remote Sensing Ecological Index with Salinity Adaptability (RSEISI): A Case Study in the Tarim River Basin, China

Land, Journal Year: 2023, Volume and Issue: 12(7), P. 1309 - 1309

Published: June 28, 2023

Ecological challenges resulting from soil salinization in the Tarim River Basin (TRB), exacerbated by climate change and human activities, have emphasized need for a quick accurate assessment of regional ecological environmental quality (EEQ) driving mechanisms. To address this issue, study has developed remote-sensing index with salinity adaptability (RSEISI) EEQ integrating comprehensive (CSI) into (RSEI). The RSEISI enhances sensitivity characterizes surface features arid regions, thus expanding applicability. Then, we used time-series analysis methods geodetector to quantify spatial temporal trends factors TRB 2000 2022. results show that adaptation effectively monitors TRB. displayed situation oasis expansion, desert deterioration, glacier melting, multiyear average grades were dominated medium poor saline areas, while medium, good, excellent concentrated mountainous areas. Looking at trend conjunction land-use types, showed mild degradation mainly unused land, followed improvement cropland grassland. Hurst indicated most areas will improve future. Soil type, land use, precipitation, temperature considered be key affecting across TRB, changes found interaction multiple factors. This may provide innovative concepts methodologies, scientific technological support management, green development models northwest zone.

Language: Английский

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Land use and cover change and influencing factor analysis in the Shiyang River Basin, China

Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(2), P. 246 - 265

Published: Feb. 1, 2024

Language: Английский

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State-of-the-Art Status of Google Earth Engine (GEE) Application in Land and Water Resource Management: A Scientometric Analysis

Journal of Geovisualization and Spatial Analysis, Journal Year: 2025, Volume and Issue: 9(1)

Published: Feb. 26, 2025

Language: Английский

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Diversity and distribution characteristics of myxobacteria in the rhizosphere and nonrhizosphere soils of the halophyte Haloxylon ammodendron in the high saline-alkaline Ebinur Lake Wetland

Canadian Journal of Microbiology, Journal Year: 2025, Volume and Issue: 71, P. 1 - 17

Published: Jan. 1, 2025

This study employed Illumina HiSeq high-throughput sequencing technology to analyze the V4-V5 regions of myxobacterial 16S rRNA in rhizosphere and nonrhizosphere soils Haloxylon ammodendron saline-alkaline wetland Ebinur Lake, with aim investigating community structure diversity myxobacteria. Results indicated that communities exhibited greater richness compared soils. Soil physicochemical properties, particularly moisture content, were identified as key environmental factors influencing diversity. The halotolerant genus Haliangium was found be predominant under conditions. Additionally, myxobacteria demonstrated distinct ecological specificity adaptability between For example, Enhygromyxa a negative correlation soil content but positive electrical conductivity Co-occurrence network analysis revealed complex interaction patterns among genera other bacterial genera, closer interactions observed highlights importance regulating microbial function wetlands, providing new insights into roles mechanisms within ecosystem.

Language: Английский

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Spatiotemporal dynamics and driving mechanisms of wetlands in arid regions of Xinjiang

Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113485 - 113485

Published: April 18, 2025

Language: Английский

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Evaluation of the synergistic change in cultivated land and wetland in northeast China from 1990 to 2035

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 29, 2025

Language: Английский

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