Detecting and assessing the land subsidence in coal mining area using PALSAR data based on D-InSAR technique

Abstract

Land subsidence induced by mining coal is one major issue in terms of damage to infrastructures. In this paper, the potential of L-band repeat-pass differential SAR interferometry for land subsidence in coal mining area is evaluated using ALOS PALSAR data. The focus is to detect and assess the land subsidence using PALSAR data based on D-InSAR technique. Firstly it introduced the basic principle and some applications of D-InSAR. Then it introduced the information of PALSAR and test data of coal mining area. It described the procedure of data processing of two-pass D-InSAR. And it got the deformation of coal mining area. It carried out interpretation and analysis on the D-InSAR results in details. The maximum settlement of land subsidence in this coal mining area was up to 42.4cm in vertical direction in 46 days. At last, it got some valuable conclusions in monitoring the land subsidence in coal mining area using two-pass D-InSAR technique. The test proves that PALSAR data is suitable for monitoring the land subsidence in areas with vegetated land cover, such as coal mining area.