Abstract

Land subsidence monitoring provides information required when developing land use plans and allows for proactive management of subsidence issues. However, it has been challenging to accurately detect land subsidence areas, especially those under waterbodies. This study evaluated the applicability of integrated use of the optical Landsat-8 OLI and microwave Sentinel-1A TOPSAR imagery to delineate subsidence areas and quantify subsidence rates in a typical coal mining area of North China Plain. An Enhanced Modified Normalized Difference Water Index (E-MNDWI) was combined with Short BAseline Subset-Interferometric Synthetic Aperture Radar (SBAS-InSAR) image to monitor underwater and dry ground subsidence. The results demonstrated that the method could delineate underwater and dry ground subsidence and quantify its rates accurately. The proposed method estimated subsidence area corresponded to 34.8% (16.7 km2) of the study area. The size of underwater subsidence areas was substantial and accounted for 43.7% of the subsidence areas. Seasonal underwater subsidence areas were generally distributed in the vicinity of perennial ones. Dry ground subsidence covered 9.4 km2 of the study area and generally occurred in urban and rural residential areas with the maximum subsidence of up to 80.1 mm/year. This study demonstrates the efficiency and capacity of integrating optical and microwave images to monitor the subsidence progresses, which thus can help develop effective rehabilitation policy and strategy to mitigate the impacts of land subsidence.

Highlights

  • Land subsidence can occur on underwater and dry ground surfaces [1]

  • The accuracy of the dry ground subsidence monitoring was verified by comparing the estimates made using the Sentinel-1A terrain observations with progressive scans SAR (TOPSAR) data and SBAS-Interferometric Synthetic Aperture Radar (InSAR) method with the results of the ground surface level survey performed at the 33 leveling points (Figs 3B and 4B)

  • Such comparison and cross validation results demonstrated the potential of Enhanced Modified Normalized Difference Water Index (E-MNDWI) and the SBAS-InSAR method as an affordable but precise tool to monitor underwater subsidence areas and dry ground subsidence rates over time

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Summary

Introduction

Land subsidence can occur on underwater and dry ground surfaces [1]. Coal mining areas in high phreatic region are prone to subsidence due to intensive mining activities [2,3]. The lack of tools and methods for monitoring and predicting subsidence has prevented the proactive planning and management for areas with high subsidence risk. Accurate detection and delineation of land subsidence are of prime importance to maintain the local sustainability and economic development.

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