| Autor: |
Hadi Beygiheidarlou, Asma Karamat Mirshekarlou, Samira Sasanifar, Bakhtear Khezryan |
| Jazyk: |
perština |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
پژوهش و توسعه جنگل, Vol 9, Iss 1, Pp 47-65 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2476-3551 |
| DOI: |
10.30466/jfrd.2023.54591.1661 |
| Popis: |
The goal of this study is to see how well the forest canopy density (FCD) model and the GLAMA mobile app estimate the canopy cover density of Zagros forests in Sardasht province. Landsat 9 Operational Land Imager-2 (OLI-2) in 2022 was employed for this purpose. Four indices were created to run the model: 1- Advanced Vegetation Index, 2- Bare Soil Index, 3- Shadow Index, and 4- Thermal Index. The Scaled Shadow Index and Vegetation Density index were then computed by integrating and synthesizing indices one and two, as well as indices three and four, and the FCD model map was created by combining these two indices. The created model was validated using GLAMA mobile app and hemispherical photographs. For this purpose, 100 square sample plots in Sardasht city with varying canopy cover were chosen, and photographs of the canopy cover were taken at five positions on each sample plot. The overall accuracy of the FCD model generated for Sardasht Province was 76%, with a Kappa coefficient of 0.697. Furthermore, the correlation results demonstrate a strong (R2 = 0.985) and significant (p-value = |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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