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Dthenifer Cordeiro Santana, Gustavo de Faria Theodoro, Ricardo Gava, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro, Izabela Cristina de Oliveira, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Job Teixeira de Oliveira and Paulo Eduardo Teodoro
Using multispectral sensors attached to unmanned aerial vehicles (UAVs) can assist in the collection of morphological and physiological information from several crops. This approach, also known as high-throughput phenotyping, combined with data processin...
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Nyo Me Htun, Toshiaki Owari, Satoshi Tsuyuki and Takuya Hiroshima
High-value timber species with economic and ecological importance are usually distributed at very low densities, such that accurate knowledge of the location of these trees within a forest is critical for forest management practices. Recent technological...
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Barbara Pes
Class imbalance and high dimensionality are two major issues in several real-life applications, e.g., in the fields of bioinformatics, text mining and image classification. However, while both issues have been extensively studied in the machine learning ...
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Dae Kyo Seo and Yang Dam Eo
Image fusion is an effective complementary method to obtain information from multi-source data. In particular, the fusion of synthetic aperture radar (SAR) and panchromatic images contributes to the better visual perception of objects and compensates for...
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A.C. Gonçalves,A. Carvalho Oliveira
Pág. 444 - 452
Stand regeneration is one of the most important aspects of silviculture as it ensures stand and production perpetuity. Regeneration occurs after one or several disturbances releasing growing space, usually after the elimination of some adult trees. In No...
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John Hogland, Nathaniel Anderson and Woodam Chung
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M.S. Patricio,L.F. Nunes,E.L. Pereira
Pág. 259 - 271
This research aimed to: estimate the inputs of litterfall; model the decomposition process and assess the rates of litter decay and turnover; study the litter decomposition process and dynamics of nutrients in old chestnut high forests. This study aimed ...
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J. Pablo Arroyo-Mora, Margaret Kalacska, Deep Inamdar, Raymond Soffer, Oliver Lucanus, Janine Gorman, Tomas Naprstek, Erica Skye Schaaf, Gabriela Ifimov, Kathryn Elmer and George Leblanc
Hyperspectral remote sensing provides a wealth of data essential for vegetation studies encompassing a wide range of applications (e.g., species diversity, ecosystem monitoring, etc.). The development and implementation of UAV-based hyperspectral systems...
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Antonio J. Sánchez-Almendro, Pablo J. Hidalgo, Rosario Galán, José M. Carrasco and Javier López-Tirado
(1) Biodiversity, sustainable development and nature conservation are fundamental issues nowadays. All companies, administrations, governments and international organisations take these issues into consideration. Sustainable forest management always requ...
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Sandra Liliana Castañeda, Alvaro Ernesto Garzón, Miguel Ángel Cantillo, Monica Patricia Torres, Luis Jairo Silva
Pág. 79 - 90
ResumenDescargasReferenciasCómo citar
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Zhuofan Xu, Jing Yan, Guoqing Sui, Yanze Wu, Meirong Qi, Zilong Zhang, Yingsan Geng and Jianhua Wang
High-voltage circuit breakers (HVCBs) handle the important tasks of controlling and safeguarding electricity networks. In the case of insufficient data samples, improving the accuracy of the traditional HVCB mechanical fault diagnosis method is difficult...
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Tong Yu, Wenjin Wu, Chen Gong and Xinwu Li
Tropical forests are of vital importance for maintaining biodiversity, regulating climate and material cycles while facing deforestation, agricultural reclamation, and managing various pressures. Remote sensing (RS) can support effective monitoring and m...
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Furqan Farooq, Muhammad Nasir Amin, Kaffayatullah Khan, Muhammad Rehan Sadiq, Muhammad Faisal Javed, Fahid Aslam and Rayed Alyousef
Supervised machine learning and its algorithm is an emerging trend for the prediction of mechanical properties of concrete. This study uses an ensemble random forest (RF) and gene expression programming (GEP) algorithm for the compressive strength predic...
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Zheng Lu and Irina N. Sokolik
We examine the 2002 Yakutsk wildfire event and simulate the impacts of smoke aerosols on local radiative energy budget, using the WRF-Chem-SMOKE model. When comparing satellite retrievals (the Surface Radiation Budget (SRB) dataset) with model simulation...
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Libin Liu, Jian Ni, Qiaolian Zhong, Gang Hu and Zhonghua Zhang
Repeated observation based on large permanent monitoring plots is a key method for directly understanding forest regeneration dynamics. Karst forests grow slowly in adverse habitats and possess a special regeneration mode. However, no data can support th...
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Xiaofeng Sun, Xiangguo Lin, Shuhan Shen and Zhanyi Hu
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Yizhuo Zhang, Hantao Liu, Xingyu Liu and Huiling Yu
Due to the complex structure of high-canopy-density forests, the traditional individual tree segmentation (ITS) algorithms based on ALS point cloud, which set segmentation threshold manually, is difficult to adequately cover a variety of complex situatio...
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Jagpal Singh Tomar, Nikola Kranjcic, Bojan Ðurin, Shruti Kanga and Suraj Kumar Singh
The Himachal Pradesh district?s biggest natural disaster is the forest fire. Forest fire threat evaluation, model construction, and forest management using geographic information system techniques will be important in this proposed report. A simulation w...
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Yusuf Kurt,Lilian Matallana-Ramirez,William Kohlway,Ross Whetten,John Frampton
Pág. e018
Aim of the study: DNA and RNA extraction are still one of the most important and challenging steps of many molecular genetics applications such as Next-Generation Sequencing technologies. In this study, traditional laboratory preparation protocols and co...
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Natalia Startsev, Jagtar S. Bhatti and Rachhpal S. Jassal
Northern regions are experiencing considerable climate change affecting the state of permafrost, peat accumulation rates, and the large pool of carbon (C) stored in soil, thereby emphasizing the importance of monitoring surface C fluxes in different land...
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