Designing the Forest of Tomorrow: Generating Virtual Trees with Adversarial Autoencoders by H. Hristova, C. Blattert, S. Puliti, J. Schweier

“…This paper explores the generation of “realistic” 3D representations of individual trees to enhance visualizations of forest simulation tool outcomes. By leveraging remote sensing data, we aim to capture individual tree features and characteristics accurately, linking them to dynamic simulations of forest structures and composition. …”
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Energy-Efficient Coverage of Rechargeable UAV Networks in Forest Scenarios by Chi Zheng, Ting Su, Jianming Liu, Kuo Chi, Yongqin Yang

“…When conducting scientific research or emergency rescue in the forest, it is essential to establish a seamless communication network to ensure the safety of users. …”
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Estimation of Solar Diffuse Radiation in Chongqing Based on Random Forest by Peihan Wan, Yongjian He, Chaoyu Zheng, Jiaxiong Wen, Zhuting Gu

“…A high-precision DIFRA estimation model was developed using the random forest algorithm, and a distributed simulation of DIFRA in Chongqing was achieved. …”
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The effects of meteorological drought on oak forest dieback in Ilam province by shamsallah Asgari, tayeb razi, Mohamadreza Jafari, Ali Akbar noroozi

“…Moreover, a land survey of oak drying points and simulation using Landsat satellite images, with a 15×15 pixel output from GIS software, indicate that approximately 17,894 hectares of forests in the region experienced drying and destruction between 2000 and 2016. …”
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Distributed Forest Fire Monitoring Using Wireless Sensor Networks by M. Ángeles Serna, Rafael Casado, Aurelio Bermúdez, Nuno Pereira, Stefano Tennina

“…In this work we focus on forest firefighting operations, proposing three fully distributed ways for approximating the actual shape of the fire. …”
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Satellite-Based Forest Stand Detection Using Artificial Intelligence by Patrik Kovacovic, Rastislav Pirnik, Julia Kafkova, Mario Michalik, Alzbeta Kanalikova, Pavol Kuchar

“…The forest constitutes an essential and irreplaceable component of life for all organisms, with its primary significance lying in its role in creating a breathable atmosphere on Earth. …”
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SARRA, histoire d’un modèle de simulation des cultures pour les zones intertropicales by Lavarenne Jérémy, Vaksmann Michel, Affholder François, Ferré Marie, Nunes Karine, Dingkuhn Michael, Macena Da Silva Fernando Antonio, Alhassane Agali, Traoré Seydou, Sultan Benjamin, Bonnal Vincent, Castets Mathieu, Clopes Alain, Reitz Philippe, Songoti Henri, Forest Francis, Baron Christian

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Non-negligible large impact of potential forestation on livestock production in China by Changjiang Wu, Xiaoping Liu, Fengsong Pei, Kangyao Liu, Yaotong Cai, Xiaocong Xu, Haoming Zhuang, Yiling Cai, Bingjie Li

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A Kind of Forest Disease and Pest Infection Model with Time Delay by FEI Xingyan, DING Yuting

“…Finally, according to the simulation results, we provide some relevant conclusions and suggestions based on the current situation of forest disease and insect pest prevention and control in forest areas of Heilongjiang Province.…”
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Research on vehicle scheduling for forest fires in the northern Greater Khingan Mountains by Jie Zhang, Junnan He, Shihao Ren, Pei Zhou, Jun Guo, Mingyue Song

“…Improvement of ordinary genetic algorithm, design of double population strategy selection operation, the introduction of chaotic search initialization population, to improve the algorithm’s solution efficiency and accuracy, through the northern pristine forest area of Daxing’anling real forest fire cases and generation of large-scale random fire point simulation experimental test to verify the effectiveness of the algorithm, to ensure that the effectiveness and reasonableness of the solution to the problem of forest fire emergency rescue vehicle scheduling program. …”
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Intra-pulse modulation recognition of radar signal based on random forest by Ge LIU, Guoyi ZHANG, Yan YU

“…To solve the existing problems of low recognition rate and noise problem in radar signal recognition,the fusion feature extraction method of time-frequency image and the random forest classifier is applied to the identification of radar signals.The radar signal time-frequency image was firstly extracted the shape features and texture features to anstitute fusion characteristics,into and then input fusioncharacteristics radom forest classifier recognition of the signal classification was realized.The results of simulation experiments for eight kinds of common radar signals to recognition show that recognition accuracy of the method proposed can be achieved more than 90% in SNR -2 dB,so it also verify the effectiveness of the method.…”
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Anycast Routing Protocol for Forest Monitoring in Rechargeable Wireless Sensor Networks by Demin Gao, Yunfei Liu, Fuquan Zhang, Jun Song

“…In this work, we introduce a routing protocol based on anycast communications technology, a novel design to minimize packet delivery latency for forest monitoring in R-WSNs. The key idea is to let a sender choose a closest neighbor to forward packets from forwarding candidates and a nearest sink node to accept the packet from all sinks. …”
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Wildfire Risk analysis using Flammap in Semi-Arid Mediterranean Forests by Gheffar Mohammed, Merghraoui Mammar

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FAIR-Compliant Database for Soil Erosion Studies: The Marganai Forest Experiment by Filippo Giadrossich, Ilenia Murgia, Enrico Guastini, Antonio Ganga, Simone Di Prima, Laura Chessa, Raffaella Lovreglio, Roberto Scotti

“…The investigation involved the establishment of eight paired plots with and without forest canopy coverage, subjected to artificial rainfall simulation aimed to measure the amount of sediment transported by runoff. …”
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MicroForest: Lightweight Bottleneck Prediction for Manufacturing Processes on Edge Devices by Seungmin Yoo, Chanyoung Oh

“…Evaluated on a simulation containing up to 150 production tasks, MicroForest achieves 34%p higher recall scores compared to original random forests while shrinking model size by two orders of magnitude and accelerating inference latency by up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>7.2</mn><mo>×</mo></mrow></semantics></math></inline-formula>. …”
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Forest Fire Risk Assessment: An Illustrative Example from Ontario, Canada by W. John Braun, Bruce L. Jones, Jonathan S. W. Lee, Douglas G. Woolford, B. Mike Wotton

“…This paper presents an analysis of ignition and burn risk due to wildfire in a region of Ontario, Canada using a methodology which is applicable to the entire boreal forest region. A generalized additive model was employed to obtain ignition risk probabilities and a burn probability map using only historic ignition and fire area data. …”
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pnetr: An R package for the PnET family of forest ecosystem models by Xiaojie Gao, Zaixing Zhou, Scott V. Ollinger, Jaclyn Hatala Matthes, Wenzhe Jiao, Jonathan R. Thompson

“…We showcase examples of model simulations and test the effects of phenology on carbon assimilation and wood production using data measured by the Environmental Measurement Station (EMS) eddy‐covariance flux tower at Harvard Forest, MA. …”
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Application of Deep Learning in Forest Fire Prediction: A Systematic Review by Cesilia Mambile, Shubi Kaijage, Judith Leo

“…Forests are among the world&#x2019;s most valuable ecological resources. …”
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Optimizing sustainable and multifunctional management of Alpine Forests under climate change by Leo Gallus Bont, Michael Hölscher, Simon Mutterer, Maria Beranek, Janine Schweier, Udo Buscher, Martin Scheffler, Kai Husmann, Leona Ottens, Clemens Blattert

“…Adaptation also enabled further improvement of biodiversity and ecosystem service provision, particularly for carbon sequestration. The presented simulation and optimization framework, tailored for mountain forests with a protection service, shows flexibility in the integration of management objectives, making it useful for decision support. …”
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Simulation Modeling of Technological Processes of Logging by Konstantin P. Rukomojnikov, Tatiana V. Sergeeva, Tatiana A. Gilyazova, Evgeny М. Tsarev, Vera P. Komisar

“…The history of the development of simulation modeling in the field of operation of forest felling machines is described, the main leaders in the development of computer support systems for managerial decision-making are named, and the advantages and disadvantages of various approaches to simulation modeling of the production process in the forest are listed. …”
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