Development of a Land Subsidence Forecasting Model Using Small Baseline Subset—Differential Synthetic Aperture Radar Interferometry and Particle Swarm Optimization—Random Forest (Case Study: Tehran-Karaj-Shahriyar Aquifer, Iran)

被引：0

作者：

Zahra Chatrsimab

Ali Asghar Alesheikh

Behzad Voosoghi

Saeed Behzadi

Mehdi Modiri

机构：

[1] Department of GIS and RS,

[2] Faculty of Natural Resources and Environment,undefined

[3] Science and Research Branch,undefined

[4] Islamic Azad University,undefined

[5] Department of GIS,undefined

[6] Faculty of Geodesy and Geomatics Engineering K. N. Toosi University of Technology,undefined

[7] Department of Geodesy,undefined

[8] Faculty of Geodesy and Geomatics Engineering,undefined

[9] K. N. Toosi University of Technology,undefined

[10] Department of Surveying Engineering,undefined

[11] Faculty of Civil Engineering,undefined

[12] Shahid Rajaee Teacher Training University,undefined

[13] Department of Urban Planning,undefined

[14] Malek-e-Ashtar University,undefined

来源：

Doklady Earth Sciences | 2020年 / 494卷

关键词：

SBAS-DInSAR; subsidence; PSO-RF; environmental; Tehran-Karaj-Shahriyar;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：718 / 725

页数：7