Determining and Mapping of Forest Species Using Remote Sensing and GIS in Amadiyah Province

Author:

Younis Muzahim Saeed,Mustafa Saifaldeen Maadh

Abstract

Abstract The location indication was classified as a directed classification for all 44 species of trees present at the study site based on the projection of the tree coordinates on the false-color satellite images, which were taken from the location of these trees and their reflectivity measured in the laboratory. Where the satellite image was classified, based on the points taken for trees as field training areas, the visual output image classified by the directed classification method included 23 classes and represents the distribution of trees and shrubs at the site. The classification accuracy of vegetation and non-vegetation covers was also assessed by taking (334) ground control points for the various land targets and vegetation covers to determine this accuracy. Thus, we obtained a total accuracy of the classified statement (82.1%). This indicates that the accuracy of the overall classification is good, acceptable, and reliable. The percentage was high for all varieties, reaching (93%) for the frothy mug, weeping willow, and wild amethyst, and the lowest (75%) for olives, grassy slopes, and flat barren soils, and this was also acceptable. Through this accuracy, we can determine the extent to which the classification matches these goals and covers, and the possibility of relying on the prepared map for its future use. The number of each tree type was estimated by determining the coverage area for each tree type and the total area to cover the total type in the area using the proportional method. From this, it was found that the different types of trees differ in their presence on the site and the reason is attributed to the difference in height, direction and the different organic matter in which these types were grown and the environmental conditions appropriate to the species and that these factors have an effective role in the distribution of species and their densities in the different sites of the study area. We also noticed that the highest presence in terms of number was of edible oaks, followed by tannins oak in second place, at a rate ranging from (29.84%, 6.35%).

Publisher

IOP Publishing

Subject

General Engineering

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