Search Results - "Forests"

A Forest Fire Detection System Based on Ensemble Learning by Renjie Xu, Haifeng Lin, Kangjie Lu, Lin Cao, Yunfei Liu

“…Due to the various shapes, textures, and colors of fires, forest fire detection is a challenging task. The traditional image processing method relies heavily…”
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Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds by Luke Wallace, Arko Lucieer, Zbyněk Malenovský, Darren Turner, Petr Vopěnka

“…This study investigates the potential of unmanned aerial vehicles (UAVs) to measure and monitor structural properties of forests. Two remote sensing…”
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Individual Tree Detection from Unmanned Aerial Vehicle (UAV) Derived Canopy Height Model in an Open Canopy Mixed Conifer Forest by Midhun Mohan, Carlos Alberto Silva, Carine Klauberg, Prahlad Jat, Glenn Catts, Adrián Cardil, Andrew Thomas Hudak, Mahendra Dia

“…Advances in Unmanned Aerial Vehicle (UAV) technology and data processing capabilities have made it feasible to obtain high-resolution imagery and three…”
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The Impact of COVID-19 on the Management of European Protected Areas and Policy Implications by James McGinlay, Vassilis Gkoumas, Jens Holtvoeth, Ruymán Federico Armas Fuertes, Elena Bazhenova, Alessandro Benzoni, Kerstin Botsch, Carmen Cabrera Martel, Cati Carrillo Sánchez, Isabel Cervera, Guillermo Chaminade, Juliana Doerstel, Concepción J. Fagundo García, Angela Jones, Michael Lammertz, Kaja Lotman, Majda Odar, Teresa Pastor, Carol Ritchie, Stefano Santi, Mojca Smolej, Francisco Soriano Rico, Holly Waterman, Tomasz Zwijacz-Kozica, Andreas Kontoleon, Panayiotis G. Dimitrakopoulos, Nikoleta Jones

“…The COVID-19 pandemic led to many European countries imposing lockdown measures and limiting people’s movement during spring 2020. During the summer 2020,…”
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Combination of Feature Selection and CatBoost for Prediction: The First Application to the Estimation of Aboveground Biomass by Mi Luo, Yifu Wang, Yunhong Xie, Lai Zhou, Jingjing Qiao, Siyu Qiu, Yujun Sun

“…Increasing numbers of explanatory variables tend to result in information redundancy and “dimensional disaster” in the quantitative remote sensing of forest…”
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Testing a New Ensemble Model Based on SVM and Random Forest in Forest Fire Susceptibility Assessment and Its Mapping in Serbia’s Tara National Park by Ljubomir Gigović, Hamid Reza Pourghasemi, Siniša Drobnjak, Shibiao Bai

“…The main objectives of this paper are to demonstrate the results of an ensemble learning method based on prediction results of support vector machine and…”
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MaxEnt Modelling and Impact of Climate Change on Habitat Suitability Variations of Economically Important Chilgoza Pine (Pinus gerardiana Wall.) in South Asia by Arshad Mahmood Khan, Qingting Li, Zafeer Saqib, Nasrullah Khan, Tariq Habib, Nadia Khalid, Muhammad Majeed, Aqil Tariq

“…Chilgoza pine is an economically and ecologically important evergreen coniferous tree species of the dry and rocky temperate zone, and a native of south Asia…”
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Physiology of Plant Responses to Water Stress and Related Genes: A Review by Jiaojiao Wu, Jingyan Wang, Wenkai Hui, Feiyan Zhao, Peiyun Wang, Chengyi Su, Wei Gong

“…Drought and waterlogging seriously affect the growth of plants and are considered severe constraints on agricultural and forestry productivity; their frequency…”
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Forest Inventory with Terrestrial LiDAR: A Comparison of Static and Hand-Held Mobile Laser Scanning by Sébastien Bauwens, Harm Bartholomeus, Kim Calders, Philippe Lejeune

“…The application of static terrestrial laser scanning (TLS) in forest inventories is becoming more effective. Nevertheless, the occlusion effect is still…”
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Optimized Maxent Model Predictions of Climate Change Impacts on the Suitable Distribution of Cunninghamia lanceolata in China by Yingchang Li, Mingyang Li, Chao Li, Zhenzhen Liu

“…Climate change significantly influences changes in ecological phenomena and processes, such as species distribution and phenology, thus accelerating the rate…”
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Hybrid Machine Learning Approaches for Landslide Susceptibility Modeling by Vu Viet Nguyen, Binh Thai Pham, Ba Thao Vu, Indra Prakash, Sudan Jha, Himan Shahabi, Ataollah Shirzadi, Dong Nguyen Ba, Raghvendra Kumar, Jyotir Moy Chatterjee, Dieu Tien Bui

“…This paper presents novel hybrid machine learning models, namely Adaptive Neuro Fuzzy Inference System optimized by Particle Swarm Optimization (PSOANFIS),…”
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Individual Tree Crown Segmentation Directly from UAV-Borne LiDAR Data Using the PointNet of Deep Learning by Xinxin Chen, Kang Jiang, Yushi Zhu, Xiangjun Wang, Ting Yun

“…Accurate individual tree crown (ITC) segmentation from scanned point clouds is a fundamental task in forest biomass monitoring and forest ecology management…”
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A Small Target Forest Fire Detection Model Based on YOLOv5 Improvement by Zhenyang Xue, Haifeng Lin, Fang Wang

“…Forest fires are highly unpredictable and extremely destructive. Traditional methods of manual inspection, sensor-based detection, satellite remote sensing and…”
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SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds by Jan Hackenberg, Heinrich Spiecker, Kim Calders, Mathias Disney, Pasi Raumonen

“…An open source tool named SimpleTree, capable of modelling highly accurate cylindrical tree models from terrestrial laser scan point clouds, is presented and…”
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LiDAR Applications to Estimate Forest Biomass at Individual Tree Scale: Opportunities, Challenges and Future Perspectives by Dandan Xu, Haobin Wang, Weixin Xu, Zhaoqing Luan, Xia Xu

“…Accurate forest biomass estimation at the individual tree scale is the foundation of timber industry and forest management. It plays an important role in…”
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Mutation Mechanism of Leaf Color in Plants: A Review by Ming-Hui Zhao, Xiang Li, Xin-Xin Zhang, Heng Zhang, Xi-Yang Zhao

“…Color mutation is a common, easily identifiable phenomenon in higher plants. Color mutations usually affect the photosynthetic efficiency of plants, resulting…”
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Review of Wood Modification and Wood Functionalization Technologies by Samuel L. Zelinka, Michael Altgen, Lukas Emmerich, Nathanael Guigo, Tobias Keplinger, Maija Kymäläinen, Emil E. Thybring, Lisbeth G. Thygesen

“…Wood modifications are becoming popular as a way to enhance the performance of wood, either to make it more durable, improve the performance of wood, or give…”
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Identifying Forest Fire Driving Factors and Related Impacts in China Using Random Forest Algorithm by Wenyuan Ma, Zhongke Feng, Zhuxin Cheng, Shilin Chen, Fengge Wang

“…Reasonable forest fire management measures can effectively reduce the losses caused by forest fires and forest fire driving factors and their impacts are…”
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The Potential Role of Cinnamon in Human Health by Natalia Błaszczyk, Angelina Rosiak, Joanna Kałużna-Czaplińska

“…Cinnamon is an unusual tropical plant belonging to the Lauraceae family. It has been used for hundreds of years as a flavor additive, but it has also been used…”
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Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran by Viet-Ha Nhu, Ataollah Shirzadi, Himan Shahabi, Wei Chen, John J Clague, Marten Geertsema, Abolfazl Jaafari, Mohammadtaghi Avand, Shaghayegh Miraki, Davood Talebpour Asl, Binh Thai Pham, Baharin Bin Ahmad, Saro Lee

“…We generated high-quality shallow landslide susceptibility maps for Bijar County, Kurdistan Province, Iran, using Random Forest (RAF), an ensemble…”
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