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    Surface and Subsurface Hydrodynamics of Inland Wetlands in Brazil: Integrating High-Resolution Remote Sensing and Hydrogeophysics by L. M. Furlan, C. A. Moreira, V. S. Rosolen

    Published 2025-07-01
    “…The surface modelling component utilizes drone imagery to delineate microtopography and surface flow patterns, while subsurface modelling incorporates geophysical surveys (electrical resistivity tomography) to map below-ground water distribution and interactions with soil and aquifers. …”
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    GIS Analysis Model Integration and Service Composition Prospects by L. Ding, P. Cai, W. Huang, H. Zhang, F. Ding, W. Zhao, D. Tang, Z. Wang

    Published 2025-07-01
    “…These innovations promise self-learning agents capable of automated spatial pattern recognition, real-time alerts, and optimized resource allocation. …”
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    Assessing the Impact of Land Use on Dew Yield Using Remote Sensing Data in Taiwan by J. J. Lin, A. N. Arslan, A. N. Arslan

    Published 2025-05-01
    “…The integration of NCPI with LAI resulted in the LAI-derived Condensation Potential (LCP), capturing spatial and temporal variations in condensation potential. …”
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    Assessment of economic well-being in South Africa based on remote sensing transfer learning by L. Wang, L. Wang, T. Long, T. Long, E. Adam

    Published 2025-05-01
    “…However, comprehensive and spatially clear data on environmental conditions and socio-economic well-being remain scarce, preventing a thorough analysis of intersecting inequalities. …”
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    Automated District-Level Energy Demand Modeling Using EnergyPlus Empowered by Digital Twin Technology by A. Jalilzadeh, A. Rafiee, S. De Graaf, T. Konstantinou, P. J. M. van Oosterom

    Published 2025-07-01
    “…By integrating a digital twin for real-time monitoring and scenario testing, the approach enables efficient bulk operations, interactive decision support, and clearer insights into urban-scale energy consumption patterns. The resulting automation and scalable workflows offer valuable contributions to sustainable urban planning, ensuring that efficiency opportunities can be quickly identified and acted upon at multiple spatial scales.…”
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    Devastating natural hazard observation with the combination of optical and microwave remote sensing datasets, Valencia 2025 flood by H. B. Makineci

    Published 2025-05-01
    “…This study employs a multi-sensor approach to analyze the 2025 Valencia flood, integrating optical and microwave datasets to produce comprehensive and precise observations of the flood's impact, spatial patterns, and potential causal factors. Furthermore, assessments based on the Normalized Difference Water Index (NDWI) further illustrate the limitations associated with optical methods in flood mapping, thereby reinforcing the indispensable role of SAR in crisis management.…”
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    An Integrated Approach for Development of a Decision Support System for Early Surveillance of Japanese Encephalitis: a Remote Sensing-based study in Conjunction with Epidemiologica... by B. K. Handique, S. A. Khan, K. K. Sarma, K. Chakraborty, J. Goswami, A. Shah, S. P. Aggarwal

    Published 2024-10-01
    “…Attempts were also made to forecast the intensity of JE cases based on a time series analysis of historical morbidity pattern, whereas forecast for onset of the disease was based on the modulation of weather variables in the study area. …”
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    OpenTrack: a Sensor for Monitoring the Usage of Territory by D. Strigaro, A. Rollandi, M. Cannata

    Published 2025-07-01
    “…Despite these constraints, the system provided valuable information on public space utilization, identifying peak hours and spatial patterns relevant for mobility planning and urban design. …”
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