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Updated: Oct 9, 2025

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Published on: September 12, 2017
Modeling for temporal land subsidence forecasting using field surveying with complementary drone imagery testing in
Peyman Amin1, Mohammad Akhavan Ghalibaf2, Mohammad Hosseini3
1Desert Management, Faculty of Natural Resources and Desert Studies, Yazd University, Yazd, Iran. peymanamin50@yahoo.com.
Abstract:
From the last few decades to now, land subsidence is a major phenomenon for the most plains in Iran. The study area is located on the clayey plain, in the east of Yazd with the cracks as longitudinal and polygonal. This experiment has planned to find microrelieves dynamics in time series after rainfall and drying periods. For modeling of land vertical dynamics and crack process selected a sample area with 100 pines for surveying. The topography measurements showed land altitudes variations in nanorelieves scale (a few millimeters to some centimeters) with a sinuous rhythm. On the base of field surveying, drone imagery was used for testing the temporal forecasting model. For this purpose, with stereo images has controlled and confirmed accuracy of prediction time series model of land vertical dynamic after five years from first inventory.
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