{"id":8002,"date":"2026-01-19T16:22:07","date_gmt":"2026-01-19T13:22:07","guid":{"rendered":"https:\/\/jfsi.ru\/?p=8002"},"modified":"2026-02-07T23:41:17","modified_gmt":"2026-02-07T20:41:17","slug":"8-4-2025-knyazeva-et_al","status":"publish","type":"post","link":"https:\/\/jfsi.ru\/en\/8-4-2025-knyazeva-et_al\/","title":{"rendered":"APPLICATION OF THE THRESHOLD SEGMENTATION METHOD FOR ASSESSING FOREST CHARACTERISTICS BASED ON HIGH-DETAILED RESURS-P1 SATELLITE DATA"},"content":{"rendered":"

\"\"<\/a><\/p>\n

S. V. Knyazeva*, A. D. Nikitina, E. I. Belova<\/strong><\/p>\n

\u00a0<\/strong><\/span>Isaev Centre for Forest Ecology and Productivity of the Russian Academy of Sciences,<\/em><\/span><\/p>\n

Profsoyuznaya st., 84\/32, bldg. 14, Moscow, 117997 Russia<\/em><\/span><\/p>\n

\u00a0<\/strong><\/span>*E-mail: knsvetl@gmail.com<\/span><\/p>\n

Received: 08.10.2025<\/span><\/p>\n

Revised: 17.11.2025<\/span><\/p>\n

Accepted: 28.11.2025<\/span><\/p>\n

This article presents the results of a study examining the potential of threshold segmentation of intercrown areas of forest canopy images using domestic ultra-high-resolution satellite images obtained from the Resurs-P1 (Geoton-L) satellite to identify the relationship between segmentation parameters and biometric characteristics of pine stands, using the forests of the Curonian Spit National Park as an example. The proposed method is based on identifying shaded segments of the intercrown space within forest stand boundaries, taking into account a specified brightness range, and then merging adjacent pixels based on spectral proximity at a new specified brightness threshold. For each specified threshold, the areas and average brightness values \u200b\u200bof shadow segments within the stand boundaries, standard deviations, and median values \u200b\u200bare determined. Based on these values, a threshold canopy closure is calculated for each stand, taking into account only shaded intercrown spaces. Statistical characteristics of average brightness and canopy closure threshold serve as variables for regression modeling of biometric characteristics (height, diameter, and stand age) of pine forests.<\/span><\/p>\n

The regression analysis was conducted using an ensemble method with Random Forest (RF) decision tree construction. The R\u00b2 coefficient of determination for pine forest characteristics ranges from 0.29 to 0.37. The results of the validation model for the test set are virtually identical to those for the training set, demonstrating the robustness of the RF model. Regression modeling of pine stand characteristics using the RF algorithm (using pure pine stands in the Curonian Spit National Park as an example), using predictors derived from threshold segmentation of forest canopy images on Geoton-L panchromatic images, yields stable results with a root-mean-square error of approximately 4 m for average height, 6 cm for diameter, and 20 years for age. Threshold segmentation of tree canopy images is useful for preliminary assessment of stand characteristics in cases where radiometric correction of spectral data is insufficient for calculating standard textural characteristics.<\/span><\/p>\n

Keywords<\/em><\/strong>: pine forests biometric characteristics, ultra-high spatial resolution satellite images, threshold image segmentation, texture features, regression modeling<\/em><\/span><\/p>\n

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S. V. Knyazeva*, A. D. Nikitina, E. I. Belova \u00a0Isaev Centre for Forest Ecology and Productivity of the Russian Academy of Sciences, Profsoyuznaya st., 84\/32, bldg. 14, Moscow, 117997 Russia \u00a0*E-mail: knsvetl@gmail.com Received: 08.10.2025...<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[40],"tags":[],"_links":{"self":[{"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/posts\/8002"}],"collection":[{"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/comments?post=8002"}],"version-history":[{"count":8,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/posts\/8002\/revisions"}],"predecessor-version":[{"id":8065,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/posts\/8002\/revisions\/8065"}],"wp:attachment":[{"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/media?parent=8002"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/categories?post=8002"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jfsi.ru\/en\/wp-json\/wp\/v2\/tags?post=8002"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}