Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development
Reference52 articles.
1. Ishwar, S. G., & Kumar, D. (2017). Application of DInSAR in mine surface subsidence monitoring and prediction. Current Science,112(1), 46–51.
2. Wang, Z., Liu, G., Zhang, J., & Huang, G. (2010). Detecting and assessing the land subsidence in coal mining area using PALSAR data based on D-InSAR technique. 2010 2nd International Conference on Computer Engineering and Technology,3, V3-222.
3. Shan, X. J., & Ye, H. (1998). The INSAR technique: Its principle and applications to mapping the deformation field of earthquakes. Acta Seismologica Sinica,11(6), 759–769. https://doi.org/10.1007/s11589-998-0012-z
4. Pepe, A., & Calò, F. (2017). A review of interferometric synthetic aperture RADAR (InSAR) multi-track approaches for the retrieval of earth’s surface displacements. Applied Sciences. https://doi.org/10.3390/app7121264
5. Woodhouse, I. H. (2005). Introduction to microwave remote sensing. CRC Press. https://doi.org/10.1201/9781315272573