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Integration of Icops and Mintpy to Estimate Surface Deformation and Utilization of Deep Learning for Susceptibility Mapping in the Jakarta Metropolitan Region

https://doi.org/10.2139/ssrn.4762411
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Application of novel hybrid model for land subsidence susceptibility mapping
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Temperature, extreme precipitation, and diurnal rainfall changes in the urbanized Jakarta city during the past 130 years
inferredcites →https://doi.org/10.1007/s00254-007-1169-9openalex-extracted
Natural hazards in Central Java Province, Indonesia: an overview
inferredcites →https://doi.org/10.1007/s11356-023-27799-0openalex-extracted
Land subsidence susceptibility mapping: comparative assessment of the efficacy of the five models
inferredcites →https://doi.org/10.1016/j.cacint.2023.100103openalex-extracted
Policymaking and the spatial characteristics of land subsidence in North Jakarta
inferredcites →https://doi.org/10.1016/j.cageo.2019.104331openalex-extracted
Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction
inferredcites →https://doi.org/10.1016/j.cities.2011.07.003openalex-extracted
Beyond property: Industrial estates and post-suburban transformation in Jakarta Metropolitan Region
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Soil water erosion susceptibility assessment using deep learning algorithms
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Land subsidence in Jakarta and Semarang Bay – The relationship between physical processes, risk perception, and household adaptation
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Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) network
inferredcites →https://doi.org/10.1016/j.rse.2012.10.015openalex-extracted
Sinking cities in Indonesia: ALOS PALSAR detects rapid subsidence due to groundwater and gas extraction
inferredcites →https://doi.org/10.1016/j.rse.2023.113453openalex-extracted
InSAR time-series analysis and susceptibility mapping for land subsidence in Semarang, Indonesia using convolutional neural network and support vector regression
inferredcites →https://doi.org/10.1016/j.scitotenv.2020.138595openalex-extracted
A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility
inferredcites →https://doi.org/10.1029/2006gl026300openalex-extracted
Current subsidence rates due to compaction of Holocene sediments in southern Louisiana
inferredcites →https://doi.org/10.1038/d44151-022-00048-yopenalex-extracted
Groundwater pumping linked to land subsidence in India’s capital
inferredcites →https://doi.org/10.1038/s41598-022-25182-6openalex-extracted
Enhancement of river flooding due to global warming
inferredcites →https://doi.org/10.1080/14498596.2018.1505564openalex-extracted
A new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping
inferredcites →https://doi.org/10.1109/icimcis56303.2022.10017644openalex-extracted
Comparison ADAM-optimizer and SGDM for Classification Images of Rice Leaf Disease
inferredcites →https://doi.org/10.1109/tgrs.2021.3138763openalex-extracted
Improved Combined Scatterers Interferometry With Optimized Point Scatterers (ICOPS) for Interferometric Synthetic Aperture Radar (InSAR) Time-Series Analysis
inferredcites →https://doi.org/10.1109/tgrs.2023.3324043openalex-extracted
Land Subsidence and Groundwater Storage Assessment Using ICOPS, GRACE, and Susceptibility Mapping in Pekalongan, Indonesia
inferredcites →https://doi.org/10.1111/1468-2427.12582openalex-extracted
Worlding Water Supply: Thinking Beyond the Network in Jakarta
inferredcites →https://doi.org/10.1111/1477-8947.12146openalex-extracted
Community‐based water supplies in Cikarang, Indonesia: are they sustainable?
inferredcites →https://doi.org/10.1186/s40537-021-00444-8openalex-extracted
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
inferredcites →https://doi.org/10.3389/feart.2021.663678openalex-extracted
Performance Evaluation of GIS-Based Novel Ensemble Approaches for Land Subsidence Susceptibility Mapping
inferredcites →https://doi.org/10.3390/rs12213627openalex-extracted
Land Subsidence Susceptibility Mapping in Jakarta Using Functional and Meta-Ensemble Machine Learning Algorithm Based on Time-Series InSAR Data
inferredcites →https://doi.org/10.3390/rs13071326openalex-extracted
Land Subsidence Susceptibility Mapping Using Persistent Scatterer SAR Interferometry Technique and Optimized Hybrid Machine Learning Algorithms
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