Land cover mapping of the Sowmeh Sara city using time series of satellite imagery | ||
| تحقیقات جنگل و صنوبر ایران | ||
| Article 6, Volume 30, Issue 4 - Serial Number 90, February 2023, Pages 365-381 PDF (880.72 K) | ||
| Document Type: Research article | ||
| DOI: 10.22092/ijfpr.2023.361480.2088 | ||
| Authors | ||
| S.M. Hatami Shah Khali1; Sh. Sharifi Hashjin* 2; F. Nasiri Aghajan1; S.F. Emami3 | ||
| 1Research Expert, Department of Regional Studies, Jihad University Environmental Research Institute, Rasht, Iran | ||
| 2Assistant Prof, in the Department of Regional Studies, Jihad University Environmental Research Institute, Rasht, Iran | ||
| 3Postdoctoral Researcher in Geography and Rural Planning, Faculty of Humanities, Guilan University, Rasht, Iran | ||
| Abstract | ||
| The remote sensing field faces a significant challenge in preparing land use maps in regions with similar spectral coverages. This research aimed to enhance crop classification accuracy by prioritizing poplar in Guilan province's Soomesara county. To classify poplar plantations, the researchers used data extracted from satellite imagery and field samples employing a random forest classification method. They utilized Sentinel-2 optical images, Sentinel-1 radar polarization data, and the ALOSpalsar digital elevation model produced in a time series to obtain this information. The team selected optimal images with high separability power for distinguishing poplar farms from other classes after analyzing the time series. Results demonstrated that optical images had better capabilities for land use classification than radar images. Additionally, implementing time series data instead of single images and using indices increased overall classification accuracy up to three percent. In conclusion, the researchers found that the proposed method utilizing Sentinel-1, Sentinel-2, and ALOS optical and radar satellite images has a high potential for poplar mapping in large areas. The estimated area of these regions in Soomesara County was 7,778 hectares. | ||
| Keywords | ||
| Poplar; sentinel satellite image; spectral indices | ||
| References | ||
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