IDENTIFICATION AND SEPARATION OF RICE FIELDS USING REMOTE SENSING
| Autor: | S. Mirzapour, P. Alemi Safaval, S. Karimi, S. Behzadi, M. Kheirkhah Zarkesh, H. Zavar, S. H. Hashemi Ashka |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-W1-2022, Pp 509-514 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2194-9042 2194-9050 |
| DOI: | 10.5194/isprs-annals-X-4-W1-2022-509-2023 |
| Popis: | Rice is one of the main crops that plays an important role in world food security. Due to the suitable climate in the north of Iran, rice is the dominant crop of farmers in this region. In this study, rice paddies were identified and separated by using the relationship between NDVI and LSWI2105 from the OLI sensor in the year 2014. To identify suitable fields, an algorithm was presented to identify the paddy fields of waterlogged soils during the stages of transplanting. According to the climate of the region, the factors of evergreen covers, water bodies, and altitude classes were identified. Finally, a spatial distribution map of rice paddies was created. 56 control points were used in rice and non-rice fields to evaluate the work. The results showed that the spatial distribution map of rice paddy fields for Amol city has an overall accuracy of 83.6364% and a kappa coefficient of 0.8108. |
| Databáze: | Directory of Open Access Journals |
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