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Journal articles on the topic 'Digital forest'
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1
R., Marsel Vagizov, Eugenie Istomin P., Valerie Miheev L., Artem Potapov P., and Natalya Yagotinceva V. "Visual Digital Forest Model Based on a Remote Sensing Data and Forest Inventory Data." Remote Sensing 13, no. 20 (2021): 4092. http://dx.doi.org/10.3390/rs13204092.
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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.
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Afsar, Bekir, Kyle Eyvindson, Tuomas Rossi, Martijn Versluijs, and Otso Ovaskainen. "Prototype Biodiversity Digital Twin: Forest Biodiversity Dynamics." Research Ideas and Outcomes 10 (June 17, 2024): e125086. https://doi.org/10.3897/rio.10.e125086.
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Forests are crucial in supporting biodiversity and providing ecosystem services. Understanding forest biodiversity dynamics under different management strategies and climate change scenarios is essential for effective conservation and management. This paper introduces the Forest Biodiversity Dynamics Prototype Digital Twin (pDT), integrating forest and biodiversity models to predict the effects of management options on forest ecosystems. The primary objective is to identify optimal management strategies that promote biodiversity, focusing on conservation and adaptation to different climate conditions. We start with the case of Finnish forests and bird species and plan to expand to include more European countries and a variety of species as the pDT is further developed.
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Westerlaken, Michelle, Jennifer Gabrys, Danilo Urzedo, and Max Ritts. "Unsettling Participation by Foregrounding More-than-Human Relations in Digital Forests." Environmental Humanities 15, no. 1 (2023): 87–108. http://dx.doi.org/10.1215/22011919-10216173.
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Abstract The question of who participates in making forest environments usually refers to human stakeholders. Yet forests are constituted through the participation of many other entities. At the same time, digital technologies are increasingly used in participatory projects to measure and monitor forest environments globally. However, such participatory initiatives are often limited to human involvement and overlook how more-than-human entities and relations shape digital and forest processes. To disrupt conventional anthropocentric understandings of participation, this text travels through three different processes of “unsettling” to show how more-than-human entities and relations disrupt, rework, and transform digital participation in and with forests. First, forest organisms as bioindicators signal environmental changes and contribute to the formation and operation of digital sensing technologies. Second, speculative blockchain infrastructures and decision-making algorithms raise questions about whether and how forests can own themselves. Third, Amerindian cosmologies redistribute subjectivities to change how digital technologies identify and monitor forests within Indigenous territories. Each of these examples shows how more-than-human participation can rework participatory processes and digital practices in forests. In a time when forests are rapidly disappearing, an unsettled and transformed understanding of participation that involves the world-making practices of more-than-human entities and relations can offer more pluralistic and expansive forest inhabitations and futures.
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Kretinin, A., and Tatyana Bezrukova. "DIGITALIZATION OF FOREST PROTECTION MANAGEMENT BASED ON FOREST FIRE MONITORING." Actual directions of scientific researches of the XXI century: theory and practice 10, no. 1 (2022): 139–52. http://dx.doi.org/10.34220/2308-8877-2022-10-1-139-152.
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The article analyzes measures to improve the effectiveness of management of forest protection from fires on the basis of information technology. The purpose of this article is to review and analyze the existing system of management of forest protection from fires, identifying the main management problems and forming recommendations to improve the existing system on the basis of digital technology. The relevance of the study lies in the fact that in recent years there has been a large number of forest fires, which brings irreparable damage to the Russian economy, so the question of the effectiveness of today's forest fire prevention system in our country is urgent. Innovative tools to improve the fight against forest fires are digital technologies. As part of the study of measures to improve the effectiveness of forest fire protection management clarified the conceptual apparatus, considered the concept of "digital technology", "forest fire". Based on the analysis of forest fire management, measures based on digital technology, which will improve the fire situation in the territory of forestry in the Russian Federation. Fighting forest fires is a dangerous job, which requires instant decisions based on immediately available information. The main digital tools used for fire protection are drones, laser scanning remote sensing of forests. The use of these tools will make it possible to quickly and smoothly determine the onset of forest fires, their area and determine on this basis the activities of fire departments and forestry organizations sequence of actions to eliminate forest fires. The more accurate real-time data firefighters have, such as fire location and condition, the location of hazards, and the number of forests covered by fire, the greater the probability of saving forests and the animals that live in their territory, ensuring the safety of firefighters and limiting fire damage. Consequently, digital technology, when fighting a forest fire, is the main and most important tool, and its implementation will reduce the risk of fire and damage from it.
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Sulistiyono, N., C. P. Tarigan, A. F. Daulay, S. A. Hudjimartsu, and Y. U. Putri. "Identification of mangrove forests using Sentinel-1 Synthetic Aperture Radar (SAR) satellite imagery in Medan Belawan District, Medan City." IOP Conference Series: Earth and Environmental Science 1352, no. 1 (2024): 012051. http://dx.doi.org/10.1088/1755-1315/1352/1/012051.
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Abstract Mangroves are a forest ecosystem tolerant to salt (halophytic) and influenced by sea tides. Mangrove forests are producers of ecosystem services that all living things need. The use of remote sensing can be used to identify mangrove forests in large areas in a short time. Sentinel-1 is a satellite product widely used to monitor land cover, including mangrove forests. The research objective was to identify mangrove forests in the Medan Belawan District using Sentinel-1 satellite imagery. Land cover classification in digital images was done using supervised classification with the maximum likelihood and random forest method. The results showed that random forest methods are more accurate than the maximum likelihood of identifying mangrove forests in Medan Belawan. The kappa accuracy value of the digital satellite image classification using the random forest method is 85.09%, and the maximum likelihood method is 77.4%. Based on the random forest method, the mangrove forest area is 1,325.81 hectares or 43.64% of the Belawan District area.
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Oleinik, M. V. "Digital transformation of forest fire protection measures: ecological and legal aspects." Courier of Kutafin Moscow State Law University (MSAL)), no. 4 (July 13, 2022): 230–36. http://dx.doi.org/10.17803/2311-5998.2022.92.4.230-236.
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The article discusses the legal aspects of digitalization of forestry. It is shown that the current stage of forest management reform demonstrates the need for the use of new technologies to improve and increase the efficiency of the use of forest resources and fire protection.Today, the Russian forestry sector is in great need of digital technologies capable of generalizing large databases of analytical data needed in the system of state management and monitoring of forests. In the practice of management, digitalization is already actively entering the forest industry. The article examines the current legislative and regulatory framework that ensures the use of digital technologies in forest management and protection of forests from fires. The author has carried out a comprehensive analysis of the regulatory legal acts adopted in recent years in the field of forest protection from fires. The foreign experience in the field of activity under consideration is investigated.
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Yasmeen, Rizwana, Gang Hao, Hong Yan, and Wasi Ul Hassan Shah. "The Impact of Technological Dynamics and Fiscal Decentralization on Forest Resource Efficiency in China: The Mediating Role of Digital Economy." Forests 14, no. 12 (2023): 2416. http://dx.doi.org/10.3390/f14122416.
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This study explores the multi-dimensional relationships between technology, fiscal decentralization, and forest resource efficiency, and the pivotal role played by the digital economy as a mediator in 2002–2020. First, this study evaluates the Chinese provinces’ forest resource efficiency using multi-dimensional inputs and outputs of forest sectors. Further, we use two sorts of technology: high-technology expenditure and forest technology education. Fiscal decentralization in terms of local government expenditure on forest resources makes the study innovative and richer in analysis. A SBM-DEA analysis showed that the Anhui, Beijing, Jiangsu, Shanghai, and Zhejiang provinces have the highest efficiency scores, implying very efficient forest resource management. Subsequently, the robust econometric estimator Driscoll and Kraay is applied. The study’s findings disclose that both dimensions of technology increase the Chinese provinces’ forest resource efficiency through technological expenditure and forest technology education. Fiscal decentralization towards forest resource management expenditure increases the efficiency of forests. Urbanization and economic development reduce the efficiency of forests. The digital economy can effectively help to improve the efficiency of forest resources. The presence of moderating effects reveals that the influence of the digital economy on forest resource efficiency is positive when it is coupled with economic development, fiscal decentralization, technology, and urbanization.
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Zhao, Xin, Ke Zhang, and Rong Zhao. "Sustainable Forest Development in the Digital Era: The Impact of Internet Use on the Happiness of Forest Farmers’ Families in Ecologically Fragile Ethnic Areas of China." Forests 15, no. 3 (2024): 564. http://dx.doi.org/10.3390/f15030564.
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In the policy arena of the rapid development of China’s digital village, understanding how internet use enhances the happiness of forest farmers’ families holds theoretical and practical significance for promoting the protection of the ecological environment and the sustainable development of forests. This study utilizes survey data from 2023 on forest farmers in ecologically fragile ethnic areas in China. Based on sustainability, a five-dimensional evaluation index system for the happiness of forest farmers’ families has been constructed. First, the CRITIC-TOPSIS model is employed to calculate the happiness scores of forest farming households. Subsequently, the Tobit model and the mediation effect model are applied to examine and analyze the influencing factors and mechanisms of internet usage on the happiness of forest farmers’ families. The study finds that, first, an increase of one unit in terms of internet use is associated with a 0.031-unit increase in the happiness of forest farmers’ families, and that education, social perception, and policy perception all have a positive effect on the happiness of forest farmers’ families. Second, the mechanism of action suggests that internet use significantly increases forest farmers’ families’ happiness through subjective class identity. Third, further heterogeneity analyses revealed that internet use contributed to the happiness of forest farmers’ families in the male group, the low human capital group, and the group with an ecological forest ranger in the family. Therefore, it is necessary to strengthen the construction of digital rural infrastructure and develop new models such as digital forestry; cultivate and introduce specialized digital talents in rural areas and enhance the digital literacy of forestry farmers; and assist forestry farmers in establishing class identity concepts and social values conducive to the sustainable development of forests and implement ecological values in production practices, thereby improving the happiness of forest farmers’ families.
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An, Yoosoon, Woojin Shim, and Gwanyong Jeong. "High-Resolution Digital Soil Maps of Forest Soil Nitrogen across South Korea Using Three Machine Learning Algorithms." Forests 14, no. 6 (2023): 1141. http://dx.doi.org/10.3390/f14061141.
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Reliable estimation of the forest soil nitrogen spatial distribution is necessary for effective forest ecosystem management. This study aimed to develop high-resolution digital soil maps of forest soil nitrogen across South Korea using three powerful machine learning methods to better understand the spatial variations of forest soil nitrogen and its environmental drivers. To achieve this, the study used national-level forest soil nitrogen data and environmental data to construct various geographic and environmental variables including geological, topographic, and vegetation factors for digital soil mapping. The results show that of the machine learning methods, the random forest model had the best performance at predicting total soil nitrogen in the A and B horizons, closely followed by the extreme gradient-boosting model. The most critical predictors were found to be geographic variables, quantitatively confirming the significant role of spatial autocorrelation in predicting soil nitrogen. The digital soil maps revealed that areas with high elevation, concave slopes, and deciduous forests had high nitrogen contents. This finding highlights the potential usefulness of digital soil maps in supporting forest management decision-making and identifying the environmental drivers of forest soil nitrogen distribution.
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Winkle, Philip. "Digital forest management: Cantor's experience." Forestry Chronicle 67, no. 6 (1991): 630–35. http://dx.doi.org/10.5558/tfc67630-6.
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Canfor's Englewood Division acquired a GIS two years age. Within this period, we have developed the framework necessary to digitally manage our 200 000 hectare Tree Farm License. This paper focuses mainly on the role GIS played in our Management and Working Plan. The plan is produced every five years to document and justify our forest land management techniques. It addresses issues of current and long-term wood supply; the 200 year horizon, silviculture regimes, and habitat requirements. GIS was used in conjunction with a forest estate model to test numerous management scenarios. Important issues included the decision to load 'dirty' data, the acquisition of contour data, net-working data, raster/vector processing, restructuring for feature codes, and becoming a 'beta' test site for GIS software. In addition, we discuss our objectives for 1991 relating to training, wildlife habitat, ambrosia control, a cruise prediction system, coordinate geometry and other goals.
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Buonocore, Luca, Jim Yates, and Riccardo Valentini. "A Proposal for a Forest Digital Twin Framework and Its Perspectives." Forests 13, no. 4 (2022): 498. http://dx.doi.org/10.3390/f13040498.
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The increasing importance of forest ecosystems for human society and planetary health is widely recognized, and the advancement of data collection technologies enables new and integrated ways for forest ecosystems monitoring. Therefore, the target of this paper is to propose a framework to design a forest digital twin (FDT) that, by integrating different state variables at both tree and forest levels, creates a virtual copy of the forest. The integration of these data sets could be used for scientific purposes, for reporting the health status of forests, and ultimately for implementing sustainable forest management practices on the basis of the use cases that a specific implementation of the framework would underpin. Achieving such outcomes requires the twinning of single trees as a core element of the FDT by recording the physical and biotic state variables of the tree and of the near environment via real–virtual digital sockets. Following a nested approach, the twinned trees and the related physical and physiological processes are then part of a broader twinning of the entire forest realized by capturing data at forest scale from sources such as remote sensing technologies and flux towers. Ultimately, to unlock the economic value of forest ecosystem services, the FDT should implement a distributed ledger-based on blockchain and smart contracts to ensure the highest transparency, reliability, and thoroughness of the data and the related transactions and to sharpen forest risk management with the final goal to improve the capital flow towards sustainable practices of forest management.
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Songsom, Veeranun, Werapong Koedsin, Raymond J. Ritchie, and Alfredo Huete. "Mangrove Phenology and Water Influences Measured with Digital Repeat Photography." Remote Sensing 13, no. 2 (2021): 307. http://dx.doi.org/10.3390/rs13020307.
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The intertidal habitat of mangroves is very complex due to the dynamic roles of land and sea drivers. Knowledge of mangrove phenology can help in understanding mangrove growth cycles and their responses to climate and environmental changes. Studies of phenology based on digital repeat photography, or phenocams, have been successful in many terrestrial forests and other ecosystems, however few phenocam studies in mangrove forests showing the influence and interactions of water color and tidal water levels have been performed in sub-tropical and equatorial environments. In this study, we investigated the diurnal and seasonal patterns of an equatorial mangrove forest area at an Andaman Sea site in Phuket province, Southern Thailand, using two phenocams placed at different elevations and with different view orientations, which continuously monitored vegetation and water dynamics from July 2015 to August 2016. The aims of this study were to investigate fine-resolution, in situ mangrove forest phenology and assess the influence and interactions of water color and tidal water levels on the mangrove–water canopy signal. Diurnal and seasonal patterns of red, green, and blue chromatic coordinate (RCC, GCC, and BCC) indices were analyzed over various mangrove forest and water regions of interest (ROI). GCC signals from the water background were found to positively track diurnal water levels, while RCC signals were negatively related with tidal water levels, hence lower water levels yielded higher RCC values, reflecting brownish water colors and increased soil and mud exposure. At seasonal scales, the GCC profiles of the mangrove forest peaked in the dry season and were negatively related with the water level, however the inclusion of the water background signal dampened this relationship. We also detected a strong lunar tidal water periodicity in seasonal GCC values that was not only present in the water background, but was also detected in the mangrove–water canopy and mangrove forest phenology profiles. This suggests significant interactions between mangrove forests and their water backgrounds (color and depth), which may need to be accounted for in upscaling and coupling with satellite-based mangrove monitoring.
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Kardoš, M. "Methods of digital photogrammetry in forest management in Slovakia." Journal of Forest Science 59, No. 2 (2013): 54–63. http://dx.doi.org/10.17221/35/2012-jfs.
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  The practical aspect of utilization of digital photogrammetry methods and their products in Slovak forestry is presented. We deal with the comparison of various data obtained by digital cameras, their accuracy, utilization and effectiveness for mapping. Based on presented results we summarize the main conclusions in the field of forest mapping. We also deal with the process of pan-sharpening for the preparation of image data for the interpretation and classification of forestry features. Also, the statistical characteristics of two photogrammetric projects with different geometric resolution photos (Ultracam D digital camera with ground sample distance of 10 cm and UltracamX digital camera with ground sample distance of 20 cm) from the same experimental area of the University Forest Enterprise Zvolen are described with the aim of finding an appropriate solution suitable for forest mapping. In both cases, the horizontal accuracy of the photogrammetric projects is presented. Finally, the process of true orthophoto generation and its utilization in forestry is the focus. Both experiments in this paper presented results which fulfil the accuracy standards defined by the state cadastre within the mapping of large scale maps. All projects, apart from the project of direct georeferencing, fulfilled the third accuracy class of mapping, so they can be used within cadastral mapping, land consolidations and, of course, within forested land mapping. Still, all the projects meet the accuracy requirements within the forest mapping standard, where the forestry features and forest spatial distribution units are mapped.  
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Korets, M. A., V. A. Ryzhkova, I. V. Danilova, and A. S. Prokushkin. "VEGETATION COVER MAPPING BASED ON REMOTE SENSING AND DIGITAL ELEVATION MODEL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 699–704. http://dx.doi.org/10.5194/isprs-archives-xli-b8-699-2016.
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An algorithm of forest cover mapping based on combined GIS-based analysis of multi-band satellite imagery, digital elevation model, and ground truth data was developed. Using the classification principles and an approach of Russian forest scientist Kolesnikov, maps of forest types and forest growing conditions (FGC) were build. The first map is based on RS-composite classification, while the second map is constructed on the basis of DEM-composite classification. The spatial combination of this two layers were also used for extrapolation and mapping of ecosystem carbon stock values (kgC/m<sup>2</sup>). The proposed approach was applied for the test site area (~3600 km<sup>2</sup>), located in the Northern Siberia boreal forests of Evenkia near Tura settlement.
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Vetchinkina, M., and A. Kretinin. "THE PRACTICE OF USING DIGITAL TECHNOLOGIES FOR THE ECONOMIC ASSESSMENT OF FOREST LANDS." Actual directions of scientific researches of the XXI century: theory and practice 11, no. 4 (2023): 8–20. http://dx.doi.org/10.34220/2308-8877-2023-11-4-8-20.
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The article describes the main methods used in the practice of assessing forest lands, discusses the prospects for the introduction of modern information technologies in the field of forest management. The importance of creating a unified information base is determined, which will greatly facilitate the monitoring of the forest land assessment process. Special attention is paid to the existing models of digital information processing and obtaining the necessary result much faster and of better quality than using classical calculation methods. The discounted value of rental income is used as a criterion for assessing forest lands in the article. This approach is considered the main one based on the long cycle of creating marketable products in forestry, since it allows taking into account all changes in the amount of income over time. The forest fund of the Russian Federation is a combination of forests, forest and non-forest lands with a total area of more than 1100 million hectares, which makes up more than 70% of the entire land and is one of the main types of national economy. The territories of the forest fund are unevenly distributed, depending on climatic and anthropogenic factors. All the listed characteristics of the forest fund of the Russian Federation necessitate the introduction of the latest digital technologies for their timely accounting and qualitative assessment, which will allow them to be used most efficiently.
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Korets, M. A., V. A. Ryzhkova, I. V. Danilova, and A. S. Prokushkin. "VEGETATION COVER MAPPING BASED ON REMOTE SENSING AND DIGITAL ELEVATION MODEL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 699–704. http://dx.doi.org/10.5194/isprsarchives-xli-b8-699-2016.
Full textAbstract:
An algorithm of forest cover mapping based on combined GIS-based analysis of multi-band satellite imagery, digital elevation model, and ground truth data was developed. Using the classification principles and an approach of Russian forest scientist Kolesnikov, maps of forest types and forest growing conditions (FGC) were build. The first map is based on RS-composite classification, while the second map is constructed on the basis of DEM-composite classification. The spatial combination of this two layers were also used for extrapolation and mapping of ecosystem carbon stock values (kgC/m&lt;sup&gt;2&lt;/sup&gt;). The proposed approach was applied for the test site area (~3600 km&lt;sup&gt;2&lt;/sup&gt;), located in the Northern Siberia boreal forests of Evenkia near Tura settlement.
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Noviar, Heru, and Tatik Kartika. "IDENTIFICATION AND CLASSIFICATION OF FOREST TYPES USING DATA LANDSAT 8 IN KARO, DAIRI, AND SAMOSIR DISTRICTS, NORTH SUMATRA." International Journal of Remote Sensing and Earth Sciences (IJReSES) 13, no. 2 (2017): 139. http://dx.doi.org/10.30536/j.ijreses.2016.v13.a2477.
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Forests have important roles in terms of carbon storage and other values. Various studies have been conducted to identify and distinguish the forest from non-forest classes. Several forest types classes such as secondary forests and plantations should be distinguished related to the restoration and rehabilitation program for dealing with climate change. The study was carried out to distinguish several classes of important forests such as the primary dryland forests, secondary dryland forest, and plantation forests using Landsat 8 to develop identification techniques of specific forests classes. The study areas selected were forest areas in three districts, namely Karo, Dairi, and Samosir of North Sumatera Province. The results showed that using composite RGB 654 of Landsat 8 imagery based on test results OIF for the forest classification, the forests could be distinguished with other land covers. Digital classification can be combined with the visual classification known as a hybrid classification method, especially if there are difficulties in border demarcation between the two types of forest classes or two classes of land covers.
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Iwaszczuk, D., M. Goebel, Y. Du, J. Schmidt, and M. Weinmann. "POTENTIAL OF MOBILE MAPPING TO CREATE DIGITAL TWINS OF FORESTS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W1-2023 (May 25, 2023): 199–206. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w1-2023-199-2023.
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Abstract. Forests are irreplaceable and are being studied extensively. Better forest inventory and understanding necessitate effective mapping, modeling, and automatic analysis. As a result, considerable research effort is being devoted to digitizing forest environments. Recently, digital twins have come to the attention of the geospatial community as a virtual representation of the Earth’s surface linked to its corresponding physical asset. This concept is applicable to forests and has been studied in the literature. This requires initial input data obtained through reality capture. Among mapping techniques, laser scanning has emerged as a state-of-the-art technology for vegetation modeling. In this paper, we look into the potential of mobile laser scanning for forest digital twinning. While most studies concentrate on single tree detection, modeling, and estimation of dendrometric parameters, we also include lower vegetation in our investigations. To accomplish this, we first detect single trees and then investigate different vegetation densities and levels using geometric metrics. We also demonstrate how to model the underlying layers of vegetation in a digital twin. We perform the tests on data from mobile laser scanning (MLS) and compare the results to those from airborne laser scanning (ALS).We show that single tree detection based on crown separation using MLS data works similarly to or slightly better than ALS data. Furthermore, we demonstrate that MLS data allows for more detailed analysis of understory vegetation taking into account different height levels and a multi-level representation, whereas ALS data only allows for rough analysis of the lower parts of forest vegetation.
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Oe, Hiroko, and Yasuyuki Yamaoka. "The impact of the digital environment on eco-friendly behavioural change towards nature: Exploring the concept of forest bathing without forest." SocioEconomic Challenges 7, no. 3 (2023): 76–93. http://dx.doi.org/10.61093/sec.7(3).76-93.2023.
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The article quantitatively investigates transformative changes in human behavioral patterns about nature due to using digital forests in relaxation practices. In the era of COVID-19, when physical outings and social interactions have been limited, there has been a growing trend for people to engage in digital interactions with nature. This article aims to quantify the impact of people’s behavior and interaction in the digital space on the change of personal behavioral patterns in the physical natural environment, as well as to analyze the potential effects of digital “bathing in the forest”. Since in work it is advisable to take into account the influence of hidden factors, structural equation modeling was used for the needs of this study. The primary data were the answers of 300 respondents, which were obtained based on the results of a survey of people in the capital region of Japan. A five-point Likert scale was used to evaluate and analyze respondents’ opinions. The internal reliability of the questionnaire scales was tested using Cronbach’s alpha. The work offers an integral indicator for assessing the personal characteristics of individuals, based on which two groups of respondents were formed – extroverts (the index is higher than the median) and introverts (the index is lower than the median). The study analyzed the pathways that lead to changes in human behavior caused by the development of digital natural relaxation methods. The work established a statistically significant relationship between the effect of digital “bathing in the forest” and a change in human behavior (correlation coefficient 0.872). According to the results of structural modeling, it was found that digital “forest bathing” has a significant mediating effect on the promotion of pro-environmental behavior (correlation coefficient is 0.634) and that users who regularly experience nature in cyberspace are more likely to change their behavior concerning nature. It is substantiated that people closer to introversion are more actively involved in the digital space and interact with others, and significantly more often change their behavior towards the environment. This study is a rare contribution demonstrating the potential of enjoying digital “forest bathing” to induce environmentally oriented behavior, even in the physical absence of forests.
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Li, Wanlu, Meng Yang, Benye Xi, and Qingqing Huang. "Framework of Virtual Plantation Forest Modeling and Data Analysis for Digital Twin." Forests 14, no. 4 (2023): 683. http://dx.doi.org/10.3390/f14040683.
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Plantation forests, cultivated through artificial seeding and planting methods, are of great significance to human society. However, most experimental sites for these forests are located in remote areas. Therefore, in-depth studies on remote forest management and off-site experiments can better meet the experimental and management needs of researchers. Based on an experimental plantation forest of Triploid Populus Tomentosa, this paper proposes a digital twin architecture for a virtual poplar plantation forest system. The framework includes the modeling of virtual plantation and data analysis. Regarding this system architecture, this paper theoretically analyzes the three main entities of the physical world, digital world, and researchers contained in it, as well as their interaction mechanisms. For virtual plantation modeling, a tree modeling method based on LiDAR point cloud data was adopted. The transitional particle flow method was proposed to combine with AdTree method for tree construction, followed by integration with other models and optimization. For plantation data analysis, a database based on forest monitoring data was established. Tree growth equations were derived by fitting the tree diameter at breast height data, which were then used to predict and simulate trends in diameter-related data that are difficult to measure. The experimental result shows that a preliminary digital twin-oriented poplar plantation system can be constructed based on the proposed framework. The system consists of 2160 trees and simulations of 10 types of monitored or predicted data, which provides a new practical basis for the application of digital twin technology in the forestry field. The optimized tree model consumes over 67% less memory, while the R2 of the tree growth equation with more than 100 data items could reach more than 87%, which greatly improves the performance and accuracy of the system. Thus, utilizing forestry information networking and digitization to support plantation forest experimentation and management contributes to advancing the digital transformation of forestry and the realization of a smart management model for forests.
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Godziek, Janusz, and Bartłomiej Szypuła. "Durability of forest cover in the Ochotnica Valley (Gorce Mts.) and in the Solinka Valley (Bieszczady Mts.) in the 18th-21st centuries." Geographia Polonica 93, no. 1 (2020): 69–88. http://dx.doi.org/10.7163/gpol.0163.
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Forests in the Carpathians are increasing their range mainly due to the expansion in former agricultural areas. In this study conducted for two valleys (88 and 69 km2 ) topographical maps from 18th to 20th century and an orthophotomap were used in order to determine the durability of forest cover. This durability is understood as the period of time during which a given area was presumably occupied by forest. A digital elevation model (DEM) and a digital surface model (DSM) of 1x1m resolution were applied to investigate the relationship between forest cover durability and altitude, slope, aspect and the mean height of trees. The variety of spatial structure of forest cover durability results mainly from the differences of the examined valleys accessibility. Positive correlation between forest cover durability and the mean height of trees and altitude found for both valleys. A directly proportional relationship between forest cover durability and slopes also occurs in the Solinka Valley.
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Shu peng, CHEN, and CHENG Wei ming. "World Forest Watching by Digital Earth." National Remote Sensing Bulletin, no. 5 (2001): 321–26. http://dx.doi.org/10.11834/jrs.20010501.
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Rada, Josef, Marian Rybansky, and Filip Dohnal. "Influence of Quality of Remote Sensing Data on Vegetation Passability by Terrain Vehicles." ISPRS International Journal of Geo-Information 9, no. 11 (2020): 684. http://dx.doi.org/10.3390/ijgi9110684.
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The article studied databases of vegetation created from remote sensors, outcome of analyses of Cross-Country Movement in forests, and quality of utilized data. The aim was to combine various databases of forests and get statistics of best data by using different methods of evaluation. Passability in forests is mainly conducted with analysis of driving between trees. The most suitable datasets in the Czech Republic are Forest Economic Plan and Digital Elevation Model 5th generation combined with Digital Surface Model 1st generation. Accuracy and usability of databases were compared with digital model of surface created from orthophoto images. Processing of data is the most important part that influences quality of statistical and map results. Studied characteristics of input databases and applied methods also have considerable influence on results of analysis of forest passability. The outcome substantially varies for personnel armored vehicles and wheeled vehicles mostly due to their movement capabilities.
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Purwanto, Anang D., Ketut Wikantika, Soni Darmawan, and Albertus Deliar. "Predicting the Distribution of Mangrove Forests through Random Forest Algorithm by Combining Spectral Features and DEM Data." IOP Conference Series: Earth and Environmental Science 1276, no. 1 (2023): 012002. http://dx.doi.org/10.1088/1755-1315/1276/1/012002.
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Abstract Using satellite data and machine learning-based classification methods for mangrove forest identification has gained popularity due to their effectiveness in producing high accuracy. Therefore, this research developed a random forest classification model using various dataset combinations representing spectral and topographical aspects to identify mangrove forests in Segara Anakan, Cilacap. We used the Sentinel-2 imagery acquired in 2022. Two types of digital elevation model (DEM) data were utilized, namely the National Digital Elevation Model (DEMNAS) and Multi-Error-Removed Improved-Terrain DEM (MERIT DEM). Another critical dataset used is the Normalized Difference Moisture Index (NDMI), derived from the ratio between near-infrared (NIR) and shortwave-infrared (SWIR) bands. The classification method used is the random forest algorithm on six different dataset combinations, including IMAGE, IMAGE+NDMI, IMAGE+DEMNAS, IMAGE+MERIT DEM, IMAGE+NDMI+DEMNAS, and IMAGE+NDMI+ MERIT DEM. The results showed that the combination of Image+DEMNAS and Image+NDMI+DEMNAS datasets was able to identify the mangrove forests more optimally. Incorporating DEM data alongside IMAGE and NDMI datasets resulted in a remarkable level of accuracy in mangrove forest mapping, exceeding 90%. DEM data has a very important role in increasing the classification accuracy of mangrove forests using the random forest algorithm.
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Holiachuk, Nataliia. "Digital transformation of forestry: aspects of electronic accounting of wood." Galician economic journal 93, no. 2 (2025): 25–32. https://doi.org/10.33108/galicianvisnyk_tntu2025.02.025.
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A study of digital tools for forestry enterprises was conducted. It was noted that digital transformation makes the activities of foresters more transparent and effective. An analysis of the opinions of scientists on the use of information technologies in the forestry industry was conducted. This allowed us to confirm the relevance of the chosen research topic and indicate that digital tools play an important role in accounting and controlling the movement of forest products. The digitalization process was studied using the basic principles of the state specialized enterprise «Forests of Ukraine» the largest state forestry enterprise in Europe. To implement digital technologies for the mentioned enterprise, a strategy of digitalization was developed, the main provisions of which are disclosed in the work. It was noted that the most important element of the digital transformation of forestry was the creation of the EcoSystem web portal, where one of the main permits for logging can be created or checked in real time – a logging ticket and a certificate of origin of the wood. The Ukrainian State Project Forest Management Production Association has developed a program that allows to use of the Forestry Geoinformation System to conduct an inventory of forest stands. It is noted that scientists from the Ukrainian Research Institute of Forestry and Agroforestry Reclamation have developed a mobile application that provides information about forest fires and pests of forests. It has been proven that the most important step in the digitalization of forestry is the introduction of electronic wood accounting. The developer of the electronic wood accounting system is the employees of the State Enterprise «Forestry Innovation and Analytical Center». Using a pocket PC, felled wood is recorded by creating a document Specification for Acceptance of Wood Harvesting and a Goods and Transport Invoice (GTI-forest) when moving wood between warehouses and divisions of the enterprise or selling wood to buyers. When selling wood, its photo fixation is mandatory. The use of electronic timber accounting provides detailed accounting and control of timber movement and minimizes attempts at illegal timber sales.
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Rousell, David, and Jessica Tran. "Thinking with Forests as Sentient Societies: Towards a Pedagogy and Ethic of Immanent Care." Australian Journal of Environmental Education 40, no. 2 (2024): 258–75. http://dx.doi.org/10.1017/aee.2024.31.
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AbstractWhile Indigenous knowledges have long recognised forests as sentient and caring societies, western sciences have only acknowledged that trees communicate, learn and care for one another in recent years. These different ways of coming to know and engage with trees as sentient agents are further complicated by the introduction of digital technologies and automated decision-making into forest ecosystems. This article considers this confluence of forest sentience and digital technologies through a pedagogy and ethic of immanent care as a relational framework for analysis and praxis in environmental education. The authors apply this framework to three key examples along Birrarung Marr, an ancient gathering place and urban parklands in the city of Naarm (Melbourne). These include an immersive theatre-making project exploring forest communication networks with young children; the Melbourne Urban Forest data set, which hosts digital profiles for over 70,000 trees; and the Greenline masterplan which aims to revitalise the north bank of the Birrarung over the next five years. Exploring the ethical and pedagogical contours of these examples leads to propositions for rethinking the role of environmental education in navigating the current confluence of animal, vegetal, fungal and digital life.
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Mozgeris, Gintautas, Marius Aleinikovas, Algirdas Augustaitis, et al. "Forest 4.0 – Research Infrastructure to Support the Operationalization of Digitalization in Maintenance and Management of Forest Ecosystems." ARPHA Conference Abstracts 8 (May 28, 2025): e151306. https://doi.org/10.3897/aca.8.e151306.
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Forest ecosystems and forestry face challenges from increased timber demand, climate change, evolving global markets, rural depopulation, and growing emphasis on forests' social values. As critical carbon sinks, biodiversity reservoirs, and sources of sustainable materials, forests are vital for climate change mitigation and rural employment. However, climate change and past management practices are intensifying natural disturbances, such as storms, droughts, and wildfires. Addressing these challenges requires innovative approaches, including the integration of advanced digital technologies associated with the Fourth Industrial Revolution, such as Artificial Intelligence (AI), the Internet of Things (IoT), blockchain, and big data analytics. These technologies collectively form the foundation of the Forest 4.0 concept, which aims to enhance forest management practices.This presentation introduces the ambitions and achievements of the newly established Lithuanian research infrastructure, Forest 4.0. Developed as part of the Forest 4.0 Teaming for Excellence project, this initiative integrates research facilities and expertise from major forestry research centers at Vytautas Magnus University and the Lithuanian Research Centre for Agriculture and Forestry.The presentation highlights several case studies showcasing innovative methods for collecting, integrating, and analyzing heterogeneous environmental data. One example is the modernization of the Lithuanian National Forest Inventory to explore new aspects of forest ecosystems, such as carbon sequestration, tree micro-habitat assessment, and genetic diversity monitoring. Another example involves the digitalization of observation processes at the Aukštaitija and Žemaitija stations of integrated monitoring, which are part of the Lithuanian eLTER network.Research topics covered in these cases include forest ecosystem dynamics under a changing climate, AI-driven monitoring and prediction techniques for forest management and threat detection, the use of remote sensing and ubiquitous computing to advance geospatial methods, modeling forest processes, conducting multimodal data analyses, and developing decision-support tools to improve forest management practices.
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Bareiko, Snezhana N., and Stella K. Kravchenko. "THE ROLE OF INFORMATIZATION AND DIGITALIZATION OF THE FOREST COMPLEX IN PROVIDING THE ECONOMIC SECURITY OF RUSSIA." Krasnoyarsk Science 10, no. 4 (2021): 92–105. http://dx.doi.org/10.12731/2070-7568-2021-10-4-92-105.
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The sustainable development of the Russian economy is inextricably linked with the digital economy. The main objective of the “Program for the Development of the Digital Economy in the Russian Federation until 2035” is to form a system of support and incentive measures that provides motivation for financial and economic entities to digital innovations and research in the field of digital technologies. As practice shows, the need for the introduction and development of digital technologies in the forest industry remains very relevant. Since effective forestry is impossible without high-quality, accessible and complete information about forest resources.
 The purpose of the work: to consider the features of the development of digitalization in the forest complex in the context of the impact on the economic security of Russia. Identify key digital trends that will contribute to the development of the timber industry.
 Research methods: the methodological basis was made up of systematic, generalized, analytical and comparative approaches, as well as a set of methods of economic and statistical analysis.
 Results: the development and widespread use of digital technologies in forest management will be able to increase the accuracy and completeness of information about forests, as well as make it more accessible. The introduction of digitalization in forestry will reduce the number of errors that lead to inefficiency in the use of forest resources.
 Scope of application of the results: it is advisable to apply the results obtained in the development of national programs for the development of a new generation of economy, including the development and implementation of innovative technologies in the timber industry.
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Becek, K., and P. Waclawik. "DIGITAL ELEVATION MODELS FOR VEGETATION MONITORING: A CASE STUDY OF A FOREST DISTRICT IN POLAND." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 577–82. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-577-2022.
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Abstract. Monitoring vegetation cover is one of the prime aims of remote sensing. Spatio-temporal trajectories of the vegetation state are key findings used by various branches of sciences for research and planning of human activities purposes. Among available vegetation monitoring methods, including forests, are multispectral and microwave indices. However, there are other ways to monitor vegetation/forest cover using surveys performed from satellite orbit. These approaches, including LiDAR and InSAR-derived digital elevation data products (further DEMs), are relatively less discussed in the literature on forest monitoring. Here, we present the results of a study of forest monitoring using the difference between two DEMs captured approximately 15 years apart. DEMs involved are the Shuttle RadarTopography Mission (SRTM) and Copernicus. The study area is located in a forestry district in the southwestern part of Poland. Spatial constraints and forest stand age, and dominant species were available from a forest stand map of the district. The study concludes that DEMs difference can be used for preliminary forest change assessment.
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Choi, Sol-E., Sunjeoung Lee, Jeongmook Park, Suyeon Lee, Jongsu Yim, and Jintaek Kang. "Detection and Analysis of Forest Clear-Cutting Activities Using Sentinel-2 and Random Forest Classification: A Case Study on Chungcheongnam-do, Republic of Korea." Forests 15, no. 3 (2024): 450. http://dx.doi.org/10.3390/f15030450.
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This study provides the methodology for the development of sustainable forest management activities and systematic strategies using national spatial data, satellite imagery, and a random forest machine learning classifier. This study conducts a regional province-scale approach that can be used to analyze forest clear-cutting in South Korea; we focused on the Chungcheongnam-do region. Based on spatial information from digital forestry data, Sentinel-2 satellite imagery, random forest (RF) classifier, and digital forest-type maps (DFTMs), we detected and analyzed the characteristics of clear-cut areas. We identified forest clear-cut areas (accounting for 2.48% of the total forest area). The methodology integrates various vegetation indices and the RF classifier to ensure the effective detection of clear-cut areas at the provincial level with an accuracy of 92.8%. Specific leaf area vegetation index (SLAVI) was determined as the most important factor for accurately detecting clear-cut areas. Moreover, using a DFTM, we analyzed clear-cutting characteristics in different forest types (including private, national, natural, and planted forests), along with age class and diameter-at-breast-height class. Our method can serve as a basis for forest management and monitoring by analyzing tree-cutting trends in countries with forest areas, such as Republic of Korea.
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Wang, Zhichao, Xin Lu, Feng An, et al. "Integrating Real Tree Skeleton Reconstruction Based on Partial Computational Virtual Measurement (CVM) with Actual Forest Scenario Rendering: A Solid Step Forward for the Realization of the Digital Twins of Trees and Forests." Remote Sensing 14, no. 23 (2022): 6041. http://dx.doi.org/10.3390/rs14236041.
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Digital twins of forests (trees) are computational virtual recreations of forests (trees) in which the entity distributions and physical processes in real-world forests (trees) are duplicated. It is expected that conventional forest science and management can be undertaken in a digital twin of forests (trees) if the recreation of a real-world forest (tree) has accurate and comprehensive enough information. However, due to the various differences between the current tree model and the real tree, these envisioned digital twins of the forests (trees) stay a theoretical concept. In this study, we developed a processing strategy that partially integrated computational virtual measurement (CVM) process into the tree modeling workflow. Owing to the feature of CVM, partial tree skeleton reconstruction procedures were considered to have higher mechanical objectivity compared to conventional mathematical modeling methods. The reason was that we developed a novel method called virtual diameter tape (VDT), which could provide a certain percentage of modeling elements using CVM. Technically, VDT was able to virtually measure diameters and spatial distribution of cross-sectional area of trees, including the basal area, from point clouds. VDT simulated the physical scenario of diameter tapes, observing point clouds of trees. Diameter and the cross-sectional area of stem and branches were obtained by two consecutive physical measurement processes, one in the forest sample site and another in the virtual space. At the same time, VDT obtained better or a similar accuracy compared to the mathematical methods, i.e., Hough transform-based methods, using the same data sets. The root-mean-square deviation (RMSE) of retrieval of diameter at breast height (DBH) using VDT was 1.02 cm, while DBH obtained from three conventional methods varied from 1.29 cm to 1.73 cm. Based on VDT measurement results, tree skeleton reconstruction and actual forest scenario rendering of our sample plots were further implemented. Beyond the visual consistency, we believe that our work might be a small and solid step in the technological evolution from tree models to the digital twin of forests (trees).
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Cotsell, Nigel, Mark Fisher, David Scotts, and Mark Cameron. "Identifying High Value Arboreal Habitat in forested areas using high-resolution digital imagery." Pacific Conservation Biology 22, no. 4 (2016): 367. http://dx.doi.org/10.1071/pc15031.
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Old-growth forest is recognised as a high-value habitat in conservation assessment programs because of its importance to hollow-dependent species. Previous mapping undertaken at regional scales does not map patches of old forest smaller than 5 ha. While small patches of old forest may not be as ecologically important as large areas they provide opportunities for connectivity and specific habitat resources for arboreal wildlife within a broader landscape matrix. Previously, smaller patches of old forest have been overlooked because the tools have not been available to map at finer scales. This study incorporates a methodology using recent advances in technology, including aerial photography, to map old forest at a fine scale for the purposes of land-use assessment and planning. The term ‘High Value Arboreal Habitat’ is introduced to convey the ecological importance of hollow-bearing trees as part of a wider identification and mapping of high-value habitats across the landscape. The assessment was undertaken across the forested areas of the Coffs Harbour Local Government Area using high-resolution digital imagery. It is anticipated that the High Value Arboreal Habitat mapping process will be adopted by a range of stakeholders and natural resource managers to better manage and conserve these old forests across the landscape whatever their size.
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Ayoob Rezaee, Motlaq, Parsakhoo Aidin, Adeli Kamran, and Moayeri Mohamad Hadi. "The influence of rural road development on forest extent changes over the three time periods: A case study of Chegeni region, Lorestan province." Journal of Forest Science 64, No. 7 (2018): 313–18. http://dx.doi.org/10.17221/34/2018-jfs.
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The objective of this study was to investigate the influence of the development of road quality (surfacing condition and road type) and road quantity (road density and distance to main road) on forest extent changes in a region in Zagros forests of Iran over the three time periods of 1960s, 2000s and 2010s. Ranks of 1 to 5 were assigned to road quality. Forest extent changes were analysed on digital aerial photo mosaic. The Spearman and Pearson correlation coefficients were used to test the relationship between the road parameters and forest extent changes. Results showed that rural-forest road network has more influence on settlement development. Forest extent was correlated negatively with the road quality. Moreover, there were more disturbances to native forests closer to roads. It was concluded that forest cover decrease was associated with physical parameters including access to roads, cultivation practices, road quality and settlement development.
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Cao, Lin, Hao Liu, Xiaoyao Fu, Zhengnan Zhang, Xin Shen, and Honghua Ruan. "Comparison of UAV LiDAR and Digital Aerial Photogrammetry Point Clouds for Estimating Forest Structural Attributes in Subtropical Planted Forests." Forests 10, no. 2 (2019): 145. http://dx.doi.org/10.3390/f10020145.
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Estimating forest structural attributes of planted forests plays a key role in managing forest resources, monitoring carbon stocks, and mitigating climate change. High-resolution and low-cost remote-sensing data are increasingly available to measure three-dimensional (3D) canopy structure and model forest structural attributes. In this study, we compared two suites of point cloud metrics and the accuracies of predictive models of forest structural attributes using unmanned aerial vehicle (UAV) light detection and ranging (LiDAR) and digital aerial photogrammetry (DAP) data, in a subtropical coastal planted forest of East China. A comparison between UAV-LiDAR and UAV-DAP metrics was performed across plots among different tree species, heights, and stem densities. The results showed that a higher similarity between the UAV-LiDAR and UAV-DAP metrics appeared in the dawn redwood plots with greater height and lower stem density. The comparison between the UAV-LiDAR and DAP metrics showed that the metrics of the upper percentiles (r for dawn redwood = 0.95–0.96, poplar = 0.94–0.95) showed a stronger correlation than the lower percentiles (r = 0.92–0.93, 0.90–0.92), whereas the metrics of upper canopy return density (r = 0.21–0.24, 0.14–0.15) showed a weaker correlation than those of lower canopy return density (r = 0.32–0.68, 0.31–0.52). The Weibull α parameter indicated a higher correlation (r = 0.70–0.72) than that of the Weibull β parameter (r = 0.07–0.60) for both dawn redwood and poplar plots. The accuracies of UAV-LiDAR (adjusted (Adj)R2 = 0.58–0.91, relative root-mean-square error (rRMSE) = 9.03%–24.29%) predicted forest structural attributes were higher than UAV-DAP (Adj-R2 = 0.52–0.83, rRMSE = 12.20%–25.84%). In addition, by comparing the forest structural attributes between UAV-LiDAR and UAV-DAP predictive models, the greatest difference was found for volume (△Adj-R2 = 0.09, △rRMSE = 4.20%), whereas the lowest difference was for basal area (△Adj-R2 = 0.03, △rRMSE = 0.86%). This study proved that the UAV-DAP data are useful and comparable to LiDAR for forest inventory and sustainable forest management in planted forests, by providing accurate estimations of forest structural attributes.
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Zhao, Guang, Guofan Shao, Keith M. Reynolds, et al. "Digital Forestry: A White Paper." Journal of Forestry 103, no. 1 (2005): 47–50. http://dx.doi.org/10.1093/jof/103.1.47.
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Abstract Digital Forestry has been proposed as ”the science, technology, and art of systematically acquiring, integrating, analyzing, and applying digital information to support sustainable forests.” Although rooted in traditional forestry disciplines, Digital Forestry draws from a host of other fields that, in the past few decades, have become important for implementing the concept of forest ecosystem management and the principle of sustainable forestry. Digital Forestry is a framework that links all facets of forestry information at local, national, and global levels through an organized digital network. It is anticipated that a new set of principles will be established when practicing Digital Forestry concept for the evolution of forestry education, research, and practices as the 21st century unfolds.
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Hapca, Adrian Ilie, Frédéric Mothe, and Jean-Michel Leban. "A digital photographic method for 3D reconstruction of standing tree shape." Annals of Forest Science 64, no. 6 (2007): 631–37. http://dx.doi.org/10.1051/forest:2007041.
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Srivastava, Sanjeev Kumar, Kah Phooi Seng, Li Minn Ang, Anibal ‘Nahuel’ A. Pachas, and Tom Lewis. "Drone-Based Environmental Monitoring and Image Processing Approaches for Resource Estimates of Private Native Forest." Sensors 22, no. 20 (2022): 7872. http://dx.doi.org/10.3390/s22207872.
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This paper investigated the utility of drone-based environmental monitoring to assist with forest inventory in Queensland private native forests (PNF). The research aimed to build capabilities to carry out forest inventory more efficiently without the need to rely on laborious field assessments. The use of drone-derived images and the subsequent application of digital photogrammetry to obtain information about PNFs are underinvestigated in southeast Queensland vegetation types. In this study, we used image processing to separate individual trees and digital photogrammetry to derive a canopy height model (CHM). The study was supported with tree height data collected in the field for one site. The paper addressed the research question “How well do drone-derived point clouds estimate the height of trees in PNF ecosystems?” The study indicated that a drone with a basic RGB camera can estimate tree height with good confidence. The results can potentially be applied across multiple land tenures and similar forest types. This informs the development of drone-based and remote-sensing image-processing methods, which will lead to improved forest inventories, thereby providing forest managers with recent, accurate, and efficient information on forest resources.
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Umarov, M. M., A. V. Skrypnikov, E. V. Chernyshova, and E. Yu Mikova. "Digital Elevation Model for Forest Road-Location." Bulletin of Higher Educational Institutions. Lesnoi Zhurnal (Forestry journal), no. 2 (March 10, 2018): 58–69. http://dx.doi.org/10.17238/issn0536-1036.2018.2.58.
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Karpachev, S., and M. Bykovskiy. "Digital simulation of forest multioperation machine operation." IOP Conference Series: Earth and Environmental Science 507 (July 1, 2020): 012008. http://dx.doi.org/10.1088/1755-1315/507/1/012008.
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Inman-Narahari, Faith, Christian Giardina, Rebecca Ostertag, Susan Cordell, and Lawren Sack. "Digital data collection in forest dynamics plots." Methods in Ecology and Evolution 1, no. 3 (2010): 274–79. http://dx.doi.org/10.1111/j.2041-210x.2010.00034.x.
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van der Westhuizen, Stephan, Gerard B. M. Heuvelink, and David P. Hofmeyr. "Multivariate random forest for digital soil mapping." Geoderma 431 (March 2023): 116365. http://dx.doi.org/10.1016/j.geoderma.2023.116365.
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Stryamets, S. P., and H. V. Striamets. "Information technology for the analysis of the dynamic of the carbon balance of forests in Poland." Ukrainian Journal of Information Technology 3, no. 2 (2021): 33–38. http://dx.doi.org/10.23939/ujit2021.02.033.
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Forest management involves the use of large areas of land and a large amount of related information. Therefore, the use of geographic information technologies (GIS) is substantiated for the processing, analysis, and visualization of information in forest ecosystems. Green plants and trees deposit carbon and retain it for a long time, they are the main absorbers of carbon on land, so to determine the carbon balance the study of wood growth, accumulation of phytomass in forest ecosystems is necessary. The purpose of the work is to develop a toolkit for determining the geo-distributed phytomass of forests for the calculation of deposited carbon according to statistical data of planting stock, species composition, age class, and other silvicultural and taxonomic indicators provided by the official sources. The article provides a description of Polish forests, GIS analysis of tabular data on taxonomic indicators of forest ecosystems, diagrams, and digital maps of forests. The analysis of the forests state in some voivodships of Poland in 2009 and 2019 was conducted to assess emissions and removals of greenhouse gases by forest ecosystems. The three-level scheme of greenhouse gas inventory recommended by the IPCC technique is described. To carry out the inventory, a multilevel mathematical model is used, which includes: the highest level of inventory (level of national inventory), the middle level of inventory (level of region or district), and the inventory lowest level (level of the elementary plots). A comparative analysis of forestry and tax indicators of Polish forests for the period from 2009 to 2019 and the methods used to calculate greenhouse gas emissions and removals are presented. The amount of carbon deposited over a ten-year period by Polish forest ecosystems has been determined. The architecture of geographic information technology for spatial analysis of carbon deposition and greenhouse gas emissions in the Polish forestry sector has been improved and supplemented. Calculations of the deposited carbon were made according to statistical data of planting stock, species composition, age class, and other silvicultural and taxonomic indicators, which are taken from the official sources. The geoinformation approach to the comparative analysis of greenhouse gases for different time intervals is based on the use of the appropriate digital map layers, mathematical models of inventory, statistical information on business results, as well as the use of a number of other specific parameters describing complex greenhouse gas emission and absorption processes. Keywords: GIS; digital maps; greenhouse gases; forests of Poland.
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Le Toan, Thuy, Ludovic Villard, Dinh Ho Tong Minh, et al. "Tackling high biomass in tropical forests through the BIOMASS mission." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-3-2024 (November 7, 2024): 287–93. http://dx.doi.org/10.5194/isprs-archives-xlviii-3-2024-287-2024.
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Abstract. To improve our understanding of the carbon cycle, precise estimates of forest biomass are needed. High values of dense tropical forest biomass are particularly important, as they determine uncertainties in carbon stock assessment and carbon loss due to deforestation and forest degradation. However, estimating Above Ground Biomass (AGB) of tropical forests based on remote sensing systems remains challenging, most existing satellite systems are not sensitive to AGB in the high range. In this paper, we assess the use of P-band SAR tomography technique to provide AGB with reduced uncertainties in the range of 200–400 Mg.ha−1. We present the expected contribution of the BIOMASS mission in estimating the carbon loss from deforestation and from forest degradation , and in providing the Digital Elevation Model under dense forests.
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Fajri, Desy Nur Aini, and Intan Pratiwi. "Digitalization in Mycelia Forest Management, Cikole Village: Innovative efforts towards sustainable tourism." Journal of Rural Tourism 3, no. 1 (2025): 87–95. https://doi.org/10.70310/jrt.2025.03010638.
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This research aims to find innovative efforts in the development of the Mycelia Forest in Cikole Village through the use of digital information technology. This study uses a descriptive qualitative approach. The data collection method was carried out through in-depth interviews, followed by observation and documentation. The data analysis technique consists of three stages, namely data reduction, data presentation and conclusion drawn. The results of this study show that innovative efforts in the development of Mycelia Forest towards sustainable tourism through digitalization: (1) Utilization of digital information technology media; (2) Improving accessibility and service quality; and (3) cooperation with various stakeholders. This research contributes to providing new insights into how digital information technology can be used to support the management and promotion of tourist destinations, especially tourist forests.
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Cano Saenz, Daniel Alejandro, Carlos Felipe Ordoñez Urbano, Holman Raul Gaitan Mesa, and Rubiel Vargas-Cañas. "Tropical Wood Species Recognition: A Dataset of Macroscopic Images." Data 7, no. 8 (2022): 111. http://dx.doi.org/10.3390/data7080111.
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Forests are of incalculable value due to the ecosystem services they provide to humanity such as carbon storage, climate regulation and participation in the hydrological cycle. The threat to forests grows as the population increases and the activities that are carried out in it, such as: cattle rearing, illegal trafficking, deforestation and harvesting. Moreover, the environmental authorities do not have sufficient capacity to exercise strict control over wood production due to the vast variety of timber species within the countries, the lack of tools to verify timber species in the supply chain and the limited available and labelled digital data of the forest species. This paper presents a set of digital macroscopic images of eleven tropical forest species, which can be used as support at checkpoints, to carry out studies and research based on macroscopic analysis of cross-sectional images of tree species such as: dendrology, forestry, as well as algorithms of artificial intelligence. Images were acquired in wood warehouses with a digital magnifying glass following a protocol used by the Colombian Ministry of Environment, as well as the USA Forest Services and the International Association of Wood Anatomists. The dataset contains more than 8000 images with resolution of 640 × 480 pixels which includes 3.9 microns per pixel, and an area of (2.5 × 1.9) square millimeters where the anatomical features are exposed. The dataset presents great usability for academics and researchers in the forestry sector, wood anatomists and personnel who work with computational models, without neglecting forest surveillance institutions such as regional autonomous corporations and the Ministry of the Environment.
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Samuel, Wealth Abiola, Irunokhai Eric Aghiomesi, Ademola Samuel Adedeji, et al. "Revolutionalizing Forest Monitoring and Conservation Using Internet of Things (IoT): The Challenges and the Opportunities." Asian Journal of Research in Agriculture and Forestry 9, no. 4 (2023): 276–82. http://dx.doi.org/10.9734/ajraf/2023/v9i4256.
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Over some decades, advancement has come to the way forest is being monitored. The process of monitoring the forest area have advanced beyond human-power into technology. Nigeria forests have experience degeneration from illegal logging to encroachment resulting from population growth and agricultural activities. The wildlife species are endangered due to human illegal activities in the forest area. Manual monitoring has achieved some results in keeping the forest safe but there is a need for more effective and real time forest monitoring. Therefore, digital technology should be analyzed for monitoring. Many forests departments in some countries have shifted to the Internet of Things (IoT) devices for real-time forest monitoring and conservation. IoT devices are devices that utilizes sensors to capture information about activities going on in the forest area and alert the monitoring personnel of any illegal activities through an electronic device connected to computer. IoT system collect data from the forest and send them to the cloud server for storage and analysis of activities that are going on in the forest area. This have helped forest officers in curbing many issues like illegal logging and forest fires. It has also helped in conserving wildlife within the forest. This paper discussed some IoT devices for real time forest monitoring and conservation. This manuscript also discussed the components of IoT devices and how they benefit forestry.
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Doubrawa, Betina, Ana Paula Dalla Corte, and Carlos Roberto Sanquetta. "Using different satellite imagery and classification techniques to assess the contribution of trees outside forests in the municipality of Maringá, Brazil." Revista Ceres 60, no. 4 (2013): 480–88. http://dx.doi.org/10.1590/s0034-737x2013000400006.
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Forest cover of the Maringá municipality, located in northern Parana State, was mapped in this study. Mapping was carried out by using high-resolution HRC sensor imagery and medium resolution CCD sensor imagery from the CBERS satellite. Images were georeferenced and forest vegetation patches (TOFs - trees outside forests) were classified using two methods of digital classification: reflectance-based or the digital number of each pixel, and object-oriented. The areas of each polygon were calculated, which allowed each polygon to be segregated into size classes. Thematic maps were built from the resulting polygon size classes and summary statistics generated from each size class for each area. It was found that most forest fragments in Maringá were smaller than 500 m². There was also a difference of 58.44% in the amount of vegetation between the high-resolution imagery and medium resolution imagery due to the distinct spatial resolution of the sensors. It was concluded that high-resolution geotechnology is essential to provide reliable information on urban greens and forest cover under highly human-perturbed landscapes.
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Panyavina, E., S. Morkovina, E. Kulakova, and M. Alyabyeva. "Study of the readiness of forestry enterprises to use digital technologies." IOP Conference Series: Earth and Environmental Science 875, no. 1 (2021): 012034. http://dx.doi.org/10.1088/1755-1315/875/1/012034.
Full textAbstract:
Abstract The forestry system of the Russian Federation uses information and communication technologies in order to bring the necessary legal, regulatory, organizational information to the participants of forestry relations, stakeholders and the public. It is necessary to pay attention to improving the infrastructure for supporting information and communication technologies. In this regard, the results of an expert survey of representatives of forestry enterprises on the state of affairs and the level of technical readiness of the use of digital technologies in the field of use, protection, protection and reproduction of forests, afforestation (forest relations) are extremely important. Methodological recommendations were developed for the questioning of participants in forestry relations, allowing to assess the use of information and communication technologies in forestry. Based on the results of the study, the most relevant measures for the implementation were identified, and a conclusion was drawn up on the state of affairs and the level of technical readiness of the use of digital technologies in the field of use, protection, protection and reproduction of forests, afforestation (forest relations). The results obtained open up new areas of scientific research in the field of digital technologies application in the forestry complex.
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De Souza Frutuoso, Lucas Matias, Débora de Melo Almeida, João Gilberto Meza Ucella Filho, Vital Caetano Barbosa Junior, Gabriel Siqueira De Andrade, and Juliana Lorensi Do Canto. "MÉTODOS DE MEDIÇÃO DE ALTURA EM FRAGMENTO DE FLORESTA ESTACIONAL DECIDUAL." Nativa 8, no. 5 (2020): 610–14. http://dx.doi.org/10.31413/nativa.v8i5.10335.
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Dificuldades relativas à aquisição e à utilização de hipsômetros contribuem para o uso da estimativa visual da altura de árvores em florestas nativas. Diante disso, este trabalho objetivou comparar o método da estimativa visual com balizamento com o hipsômetro digital Haglof na medição de altura de árvores em um fragmento de Floresta Estacional Decidual. A coleta de dados compreendeu 187 árvores contidas em quatro parcelas permanentes. Para as análises comparativas, os dados foram distribuídos em classes de altura e de diâmetro. A estimativa visual com balizamento apresentou confiabilidade na medição da altura de árvores de até 11 m, não diferindo estatisticamente do hipsômetro digital. Entretanto, observou-se uma tendência de subestimação da altura de árvores maiores. Para árvores com altura superior a 11 m, o hipsômetro digital mostrou-se mais confiável. Palavras-chave: inventário florestal; mensuração florestal; hipsômetro. METHODS OF MEASUREMENT OF HEIGHT IN FRAGMENT OF DECIDUAL STATE FOREST ABSTRACT: Difficulties related to the acquisition and use of hypsometers contribute to the use of the visual estimate of the height of trees in native forests. Therefore, this study aimed to compare the method of visual estimation with beaconing with the Haglof digital hypsometer to measure the height of trees in a fragment of Seasonal Deciduous Forest. The data collection comprised 187 trees contained in four permanent plots. For comparative analysis, the data were distributed in height and diameter classes. The visual estimation with beacon showed reliability in measuring the height of trees up to 11 m, not differing statistically from the digital hypsometer. However, there was a tendency to underestimate the height of larger trees. For trees higher than 11 m, the digital hypsometer was more reliable. Keywords: forest inventory; forest measurement; hypsometer.
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Sobala, Michał, and Oimahmad Rahmonov. "The Human Impact on Changes in the Forest Range of the Silesian Beskids (Western Carpathians)." Resources 9, no. 12 (2020): 141. http://dx.doi.org/10.3390/resources9120141.
Full textAbstract:
Changes in forest range are caused by human activity in many regions of the world. The aim of this paper is an attempt to determine the impact of pastoral and forest management on changes in forest cover and their fragmentation in the Silesian Beskids (southern Poland) in 1848–2015. Historical maps and landscape metrics were used to study changes in forest cover. Using a digital map of forests, analyses of the distribution of forest communities, site types and their condition were conducted. Since 1848 the forest area has increased by 11.8%, while the area of forest core zones has increased by 16.2%, accompanied by a 4.5% reduction in the forest’s internal buffer zone. From the mid-nineteenth century, the forest range has been systematically growing from 82.1 to 93.9% because of the pastureland abandonment and forest regeneration, despite temporary logging resulting in forest fragmentation. Minor changes in core area index (CAI) from 80.41 to 87.55 indicate that pastoral economy did not result in considerable fragmentation of forests. The impact of forest management was greater as the sites characterised by natural condition occupy only 28% of the forest land and anthropogenically transformed ones dominate occupying over 50%. An artificial spruce monoculture was died-off and large felling areas were created at the beginning of the twenty-first century covering almost 40% of the study area.