{"id":7424,"date":"2023-12-15T16:21:46","date_gmt":"2023-12-15T16:21:46","guid":{"rendered":"https:\/\/agri-research-journal.net\/SjarEn\/?p=7424"},"modified":"2023-12-15T16:22:16","modified_gmt":"2023-12-15T16:22:16","slug":"estimation-of-biomass-for-pinus-brutia-ten-using-spot-6-satellite-data-and-machine-learning-algorithms","status":"publish","type":"post","link":"https:\/\/agri-research-journal.net\/SjarEn\/?p=7424","title":{"rendered":"Estimation of Biomass for Pinus brutia Ten.Using SPOT-6 Satellite Data and Machine Learning Algorithms"},"content":{"rendered":"<p style=\"text-align: center;\"><span style=\"font-family: 'times new roman', times, serif;\"><strong>\u00a0Hassan Ali<sup>*(1)<\/sup> <\/strong><\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif;\">(1). General commission for the administration and development of Al-Ghab, Al-Ghab, Syria.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif;\">(*Corresponding author: Dr.Hassan Ali, E-mail: <a href=\"mailto:hso414516@gmail.com\">hso414516@gmail.com<\/a>)<\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: 'times new roman', times, serif;\">Received: 11\/09\/2023\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0 Accepted: 6\/11\/2023<\/span><\/p>\n<p><span style=\"font-family: 'Times New Roman', Times; font-size: 17px;\"><strong>Abstract:\u00a0<\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: 'Times New Roman', Times; font-size: 17px;\">Today, artificial forests are one of the most important sources of carbon storage in forests, saving timber and reducing the degradation of natural forests. Forest biomass plays a major role in reducing global warming, an indicator of environmental sustainability, and an important source of information at the national and international levels. In recent years, remote sensing techniques using machine learning algorithms such as random forest and multiple linear regression have been widely used to estimate forest tree biomass. This research was conducted in Arab Dagh Forest in Golestan Province, Iran, and field data were collected by systematic cluster sampling method. 180 samples of <em>Pinus brutia<\/em> Ten. were inventoried with an area of \u200b\u200b400 square metres. At the level of each plot, the diameter and tree height were measured. 135 samples were selected for modeling (training data) and 45 samples for modeling validation (test data). The aim of this research is to estimate the biomass of <em>Pinus brutia<\/em> using Random Forest and the multiple linear regression algorithms. And compare the results obtained from using these algorithms to estimate biomass. The results of modeling using the multiple linear regression algorithm showed that the coefficient of determination (R<sup>2<\/sup>) was equal to 0.55, and the percentage root mean square error (%RMSE) was equal to 32.14%. While the results of modeling using the Random Forest algorithm showed that the coefficient of determination was equal to 0.92, and the percentage of root mean square error was equal to 18.19%. Estimating the biomass of <em>Pinus brutia<\/em> using the Random Forest algorithm gave encouraging results compared with multiple linear regression.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif;\"><strong>Keywords<\/strong>: Biomass, Random Forest, Multiple Linear Regression, <em>Pinus brutia<\/em>.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif;\"><strong><span style=\"font-size: 17px;\">Full paper in Arabic: <a href=\"http:\/\/agri-research-journal.net\/SjarEn\/wp-content\/uploads\/v10n6p22.pdf\">pdf<\/a><\/span><\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u00a0Hassan Ali*(1) (1). General commission for the administration and development of Al-Ghab, Al-Ghab, Syria. (*Corresponding author: Dr.Hassan Ali, E-mail: hso414516@gmail.com) Received: 11\/09\/2023\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0 Accepted: 6\/11\/2023 Abstract:\u00a0 Today, artificial forests are one of the most important sources of carbon storage in &hellip; <a href=\"https:\/\/agri-research-journal.net\/SjarEn\/?p=7424\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-7424","post","type-post","status-publish","format-standard","hentry","category-sjar"],"_links":{"self":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/7424","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7424"}],"version-history":[{"count":2,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/7424\/revisions"}],"predecessor-version":[{"id":7428,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/7424\/revisions\/7428"}],"wp:attachment":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7424"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7424"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7424"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}