Evaluation of forest afforestation of some pine species (Pinus Sp.) in Damascus countryside by traditional and modern methods ( remote sensing technologies)
2024
Omar AHMAD Khattab
In this research, growth and productivity indicators (breast height diameter, height, basal areas, wood reserves) were identified for the lumbering sites of the Rural Damascus Province. Six plots were taken from each site, with an area of 625m2 for each plot. The relationship between some growth indicators was studied, as well as the relationship between growth indicators and productivity. Regression equations representing these relationships were derived. Landsat satellite images for the years 2020-2022 were used to execute the research. The images underwent initial processing and were analyzed along with the indicators to extract relevant information. The correlation between the extracted images as variables and the field-measured growth indicators was determined using multiple regression analysis. The research demonstrated the efficiency of using Landsat imagery to estimate fundamental growth indicators in Forest sites in the Rural Damascus area. Statistical analysis showed a strong correlation at significance levels of 0.01 and 0.05 between diameter and height (R=0.783), diameter and volume (R=0.967), and height and volume (R=0.823). Similarly, a correlation was found between growth indicators and plant indices. Spatial estimation of growth indicators was also possible in sites where field measurements were not taken, with accuracy ranging from 60% to 69%. Mathematical models were developed to estimate growth indicators, and maps were prepared for the study area.
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