{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T23:09:29Z","timestamp":1768086569644,"version":"3.49.0"},"reference-count":55,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T00:00:00Z","timestamp":1634083200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>This article discusses the process of creating a digital forest model based on remote sensing data, three-dimensional modeling, and forest inventory data. Remote sensing data of the Earth provide a fundamental tool for integrating subsequent objects into a digital forest model, enabling the creation of an accurate digital model of a selected forest quarter by using forest inventory data in educational and experimental forestry, and providing a valuable and extensive database of forest characteristics. The formalization and compilation of technologies for connecting forest inventory databases and remote sensing data with the construction of three-dimensional tree models for a dynamic display of changes in forests provide an additional source of data for obtaining new knowledge. The quality of forest resource management can be improved by obtaining the most accurate details of the current state of forests. Using machine learning and regression analysis methods as part of a digital model, it is possible to visually assess the course of planting growth, changes in species composition, and other morphological characteristics of forests. The goal of digital, interactive forest modeling is to create virtual simulations of the future status of forests using a combination of predictive forest inventory models and machine learning technology. The research findings provide a basic idea and technique for developing local digital forest models based on remote sensing and data integration technologies.<\/jats:p>","DOI":"10.3390\/rs13204092","type":"journal-article","created":{"date-parts":[[2021,10,13]],"date-time":"2021-10-13T21:48:39Z","timestamp":1634161719000},"page":"4092","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data"],"prefix":"10.3390","volume":"13","author":[{"given":"Marsel Vagizov","family":"R.","sequence":"first","affiliation":[{"name":"Department of Information Systems and Technologies, Institute Forest and Nature Management, St. Petersburg State Forest Technical University, 5 Institutskiy Lane, 194021 St. Petersburg, Russia"}]},{"given":"Eugenie Istomin","family":"P.","sequence":"additional","affiliation":[{"name":"Department of Applied Computer Science, Institute of Information Systems and Geotechnologies, Russian State Hydrometeorological University, 79 Voronezhskaya Street, 192007 St. Petersburg, Russia"}]},{"given":"Valerie Miheev","family":"L.","sequence":"additional","affiliation":[{"name":"Faculty of Maritime and Polar Law, Russian State Hydrometeorological University, 79 Voronezhskaya Street, 192007 St. Petersburg, Russia"}]},{"given":"Artem Potapov","family":"P.","sequence":"additional","affiliation":[{"name":"Department of Information Systems and Technologies, Institute Forest and Nature Management, St. Petersburg State Forest Technical University, 5 Institutskiy Lane, 194021 St. Petersburg, Russia"}]},{"given":"Natalya Yagotinceva","family":"V.","sequence":"additional","affiliation":[{"name":"Department of Applied Computer Science, Institute of Information Systems and Geotechnologies, Russian State Hydrometeorological University, 79 Voronezhskaya Street, 192007 St. Petersburg, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2021,10,13]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11431-006-8101-5","article-title":"Digital forestry research in China","volume":"49","author":"Tang","year":"2006","journal-title":"Sci. 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