_ | tianjin | _ |
Analysis of Beijing | tianjin | Hebei regional credit system from the perspective of big data credit reporting |
Analysis of the Superposition Effect of Land Subsidence and Sea-Level Rise in the | tianjin | Coastal Area and Its Emerging Risks |
Anatomy of Subsidence in | tianjin | from Time Series InSAR |
Application of the Analytic Hierarchy Process and a New Correlation Algorithm to Urban Construction and Supervision Using Multi-Source Government Data in | tianjin | , The |
Assessing the Urban Eco-Environmental Quality by the Remote-Sensing Ecological Index: Application to | tianjin | , North China |
Change of Land Use/Cover in | tianjin | City Based on the Markov and Cellular Automata Models |
Characteristics and Driving Mechanism of Regional Ecosystem Assets Change in the Process of Rapid Urbanization: A Case Study of the Beijing- | tianjin | -Hebei Urban Agglomeration |
Combined GRACE and MT-InSAR to Assess the Relationship between Groundwater Storage Change and Land Subsidence in the Beijing- | tianjin | -Hebei Region |
Comparative Study of Urban Expansion in Beijing, | tianjin | and Tangshan from the 1970s to 2013, A |
Deriving Hourly PM2.5 Concentrations from Himawari-8 AODs over Beijing- | tianjin | -Hebei in China |
Detection Ground Deformation Characteristics of Reclamation Land with Time-Series Interferometric Synthetic Aperture Radar in | tianjin | Binhai New Area, China |
Different Patterns in Daytime and Nighttime Thermal Effects of Urbanization in Beijing- | tianjin | -Hebei Urban Agglomeration |
Dominant Factors in the Temporal and Spatial Distribution of Precipitation Change in the Beijing- | tianjin | -Hebei Urban Agglomeration |
Downscaling Simulation of Groundwater Storage in the Beijing, | tianjin | , and Hebei Regions of China Based on GRACE Data |
Estimating Pm2.5 In The Beijing- | tianjin | -hebei Region Using Modis Aod Products From 2014 To 2015 |
Estimating the Daily NO2 Concentration with High Spatial Resolution in the Beijing- | tianjin | -Hebei Region Using an Ensemble Learning Model |
Estimation of Ground-Level PM2.5 Concentration at Night in Beijing- | tianjin | -Hebei Region with NPP/VIIRS Day/Night Band |
Evaluation of Supply-Demand Matching of Public Health Resources Based on Ga2SFCA: A Case Study of the Central Urban Area of | tianjin | |
Gravity Wave Characterization of Multiple Convections in the Beijing- | tianjin | -Hebei Region |
Ground Subsidence in the Beijing- | tianjin | -Hebei Region from 1992 to 2014 Revealed by Multiple SAR Stacks |
High Spatial Resolution Nighttime PM2.5 Datasets in the Beijing- | tianjin | -Hebei Region from 2015 to 2021 Using VIIRS/DNB and Deep Learning Model |
High-Resolution Daily Spatiotemporal Distribution and Evaluation of Ground-Level Nitrogen Dioxide Concentration in the Beijing- | tianjin | -Hebei Region Based on TROPOMI Data |
Identification of Metropolitan Area Boundaries Based on Comprehensive Spatial Linkages of Cities: A Case Study of the Beijing- | tianjin | -Hebei Region |
Identification of Natural and Anthropogenic Drivers of Vegetation Change in the Beijing- | tianjin | -Hebei Megacity Region |
Identifying the Driving Impact Factors on Water Yield Service in Mountainous Areas of the Beijing- | tianjin | -Hebei Region in China |
Impact of Precipitation Deficit and Urbanization on Variations in Water Storage in the Beijing- | tianjin | -Hebei Urban Agglomeration, The |
Impact of Urbanization and Climate on Vegetation Coverage in the Beijing- | tianjin | -Hebei Region of China |
Implementation of an Improved Water Change Tracking (IWCT) Algorithm: Monitoring the Water Changes in | tianjin | over 1984-2019 Using Landsat Time-Series Data |
Implementation of Geographical Conditions Monitoring in Beijing- | tianjin | -Hebei, China |
Improving Satellite-Driven PM2.5 Models with VIIRS Nighttime Light Data in the Beijing- | tianjin | -Hebei Region, China |
Influence of Urban Scale and Urban Expansion on the Urban Heat Island Effect in Metropolitan Areas: Case Study of Beijing- | tianjin | -Hebei Urban Agglomeration |
L- and X-Band Multi-Temporal InSAR Analysis of | tianjin | Subsidence |
Land Subsidence in | tianjin | , China: Before and after the South-to-North Water Diversion |
Land Subsidence Prediction and Analysis along Typical High-Speed Railways in the Beijing- | tianjin | -Hebei Plain Area |
Land Subsidence Response to Different Land Use Types and Water Resource Utilization in Beijing- | tianjin | -Hebei, China |
Landsat-Based Land Cover Change in the Beijing- | tianjin | -Tangshan Urban Agglomeration in 1990, 2000 and 2010 |
Landscape Visual Sensitivity Assessment of Historic Districts: A Case Study of Wudadao Historic District in | tianjin | , China |
Long-Term Spatiotemporal Patterns and Evolution of Regional Heat Islands in the Beijing- | tianjin | -Hebei Urban Agglomeration |
Mapping Development Pattern in Beijing- | tianjin | -Hebei Urban Agglomeration Using DMSP/OLS Nighttime Light Data |
Measuring Functional Urban Shrinkage with Multi-Source Geospatial Big Data: A Case Study of the Beijing- | tianjin | -Hebei Megaregion |
Potential of Using SDGSAT-1 TIS Data to Identify Industrial Heat Sources in the Beijing- | tianjin | -Hebei Region, The |
Preliminary Investigation of Sudden Ground Subsidence and Building Tilt in Balitai Town, | tianjin | City, on 31 May 2023 |
Recent Surface Deformation in the | tianjin | Area Revealed by Sentinel-1A Data |
Regional and Local Scale Evolution of the Spatial Structure of High-Speed Railway Networks: A Case Study Focused on Beijing- | tianjin | -Hebei Urban Agglomeration, The |
Retrieval of Daily PM2.5 Concentrations Using Nonlinear Methods: A Case Study of the Beijing- | tianjin | -Hebei Region, China |
Runoff Responses of Various Driving Factors in a Typical Basin in Beijing- | tianjin | -Hebei Area |
Spatio-Temporal Changes in Vegetation in the Last Two Decades (2001-2020) in the Beijing- | tianjin | -Hebei Region |
Spatio-Temporal Dynamics and Driving Forces of Multi-Scale CO2 Emissions by Integrating DMSP-OLS and NPP-VIIRS Data: A Case Study in Beijing- | tianjin | -Hebei, China |
Spatiotemporal Distribution Pattern and Driving Factors Analysis of GPP in Beijing- | tianjin | -Hebei Region by Long-Term MODIS Data |
Spatiotemporally Continuous Reconstruction of Retrieved PM2.5 Data Using an Autogeoi-Stacking Model in the Beijing- | tianjin | -Hebei Region, China |
Understanding Urban Growth in Beijing- | tianjin | -Hebei Region over the Past 100 Years Using Old Maps and Landsat Data |
Urban Sprawl and Changes in Land-Use Efficiency in the Beijing- | tianjin | -Hebei Region, China from 2000 to 2020: A Spatiotemporal Analysis Using Earth Observation Data |
Using Flickr Data to Understand Image of Urban Public Spaces with a Deep Learning Model: A Case Study of the Haihe River in | tianjin | |
Variations in the Spatial Distribution of Smart Parcel Lockers in the Central Metropolitan Region of | tianjin | , China: A Comparative Analysis before and after COVID-19 |
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