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Monitoring the dynamics of coastal wetlands ecosystems in Brittany (France) using LANDSAT time series and machine learning
Published 2025-12-01“…Using Landsat archives and an automated coastline detection method, we found that the area of salt marshes has increased by 36% over the last 30 years. In both nested spatial scale approaches, the proposed spatial methodology generates spatial statistics on the dynamics of key ecosystems at the designated time scale. …”
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Presence and detection methods of pseudo-periods in GNSS coordinate time series
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Multi-time scale analysis of human activity patterns on the Qinghai–Tibet Plateau using location request data
Published 2025-08-01Subjects: Get full text
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Identifying Deformation Drivers in Dam Segments Using Combined X- and C-Band PS Time Series
Published 2025-07-01“…This study aims to investigate two objectives: first, we evaluate the benefits of a spatially and temporally densified PS time series derived from TSX and S-1 data for detecting radial deformations in individual dam segments. …”
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Analysis of the Spatial Structure of Regional Enterprises and Its Impact on Regional Economic Development Based on the Data Envelopment Analysis Model (DEA)
Published 2021-01-01“…This paper adopts the data envelopment analysis (DEA) model to conduct an in-depth study and analysis of the spatial structure of regional enterprises and their impact on regional economic development and to apply the analysis of the impact between the two. …”
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Identifying and mapping open-boll cotton fields in the southeastern United States with time series PhenoCam, Sentinel-2 and Sentinel-1 images
Published 2025-08-01“…In this study, we combined hourly PhenoCam pictures and time series Sentinel-2 images and identified the unique white feature in the cotton open-boll period from spectroscopy analysis. …”
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A dataset on potentially groundwater-dependent vegetation in the Sierra Nevada Protected Area (Southern Spain) and its underlying NDVI-derived ecohydrological attributesZENODO
Published 2025-08-01“…All spatial layers are projected in ETRS89 / UTM Zone 30N (EPSG: 25830) and are ready for visualization and analysis in standard GIS platforms. …”
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Risk assessment of building and infrastructure using InSAR-derived deformation gradients and pattern variations in the Beijing plain, China
Published 2025-08-01“…Ground surface deformation and spatial differential deformation pose significant risks to urban buildings and infrastructures. …”
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Spatial and temporal evolution of the coupling of new urbanization and ecological efficiency and its influencing factors: 84 cities in Western China
Published 2025-01-01“…By introducing spatiotemporal exploratory data analysis methods and spatial econometric models, the paper systematically explores the spatiotemporal evolution characteristics of the coupling coordination degree (CCD) between ecological efficiency (EE) and new urbanization (NU) and identifies possible spatial effect issues related to CCD. …”
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Urban vitality transfer: Analysis of 50 factors based on 24-h weekday activity in Nanjing
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Spatio-Temporal neighbors adaptive learning with two-point differences for ocean subsurface temperature reconstruction from 1960 to 2022
Published 2025-08-01“…By integrating geoscience domain knowledge and utilizing spatiotemporal autocorrelation, ASTEN simultaneously learns the spatial pattern and temporal variation of subsurface temperature, and significantly enhances the interpretability and accuracy of ocean temperature reconstructions over a long time series compared to the DINCAE and DINEOF. …”
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A Unified Framework for Fault and Performance Prediction Using Spatio-Temporal Geometric Features Based on STSFE
Published 2025-01-01“…The core methodology, Spatio-Temporal Slope Feature Extraction (STSFE), transforms irregular time-series data into slope-, area-, and volume-based representations, capturing both temporal dynamics and spatial correlations. …”
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CLUSTER FAST DOUBLE BOOTSTRAP APPROACH WITH RANDOM EFFECT SPATIAL MODELING
Published 2023-06-01“…Panel data is a combination of cross-sectional and time series data. Spatial panel analysis is an analysis to obtain information based on observations affected by the space or location effects. …”
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Evolution and Research Trends in Physical Culture. A Longitudinal Analysis of Student Diploma Theses from the Didactic Team of Physical Culture Sciences, formerly the Department of...
Published 2024-11-01“…Mixed research methods were applied, combining quantitative and qualitative analysis. Content analysis, statistical analysis (including chi-square tests, analysis of variance, linear regression), and advanced data analysis methods (LDA topic modeling, social network analysis, SARIMA time series analysis) were conducted. …”
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Drowning in urban growth: rethinking flood resilience and spatial equity in Lagos, Nigeria
Published 2025-08-01“…This study investigates the interactions between urban expansion and flood occurrence in Lagos, identifies key contributing factors, and proposes strategies to enhance urban resilience.MethodsUrbanization data were obtained from the UN-Habitat database, while flood data were sourced from the Emergency Events Database (EM-DAT) maintained by the Centre for Research on the Epidemiology of Disasters. Time series analysis was combined with qualitative review of secondary data to examine trends, spatial distribution of floods, and underlying causes.ResultsNigeria has experienced dynamic urban growth, with Lagos' population increasing from 7.28 million (1995–2000) to 17.15 million (2020–2025), a growth rate 2.4 times higher than the national average. …”
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