Forestry

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Forestry is the art and science of tree resources, including plantations and natural stands. (Wikipedia.org)






Conferences related to Forestry

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2019 IEEE 17th International Conference on Industrial Informatics (INDIN)

Industrial information technologies


2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

International Geosicence and Remote Sensing Symposium (IGARSS) is the annual conference sponsored by the IEEE Geoscience and Remote Sensing Society (IEEE GRSS), which is also the flagship event of the society. The topics of IGARSS cover a wide variety of the research on the theory, techniques, and applications of remote sensing in geoscience, which includes: the fundamentals of the interactions electromagnetic waves with environment and target to be observed; the techniques and implementation of remote sensing for imaging and sounding; the analysis, processing and information technology of remote sensing data; the applications of remote sensing in different aspects of earth science; the missions and projects of earth observation satellites and airborne and ground based campaigns. The theme of IGARSS 2019 is “Enviroment and Disasters”, and some emphases will be given on related special topics.


2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2018 13th IEEE Conference on Industrial Electronics and Applications (ICIEA)

Industrial Informatics, Computational Intelligence, Control and Systems, Cyber-physicalSystems, Energy and Environment, Mechatronics, Power Electronics, Signal and InformationProcessing, Network and Communication Technologies


2018 19th International Carpathian Control Conference (ICCC)

The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education, modeling and simulation of processes and systems. The four sister faculties of four universities of the Carpathian region (Kosice, Krakow, Ostrava, Miskolc), have ancient roots at Mining Academy in Banská Stiavnica (1762) founded together this conference. Later a university from Romania (Craiova) joined the organizers team. Every year the conference is organised by one of the five universities. Recently because the Czech partner let us know that he/she is unable to organise this year the conference we had to take the job of organising the conference. When the conference was organised for the first time in Hungary (2005) it was organized by the small IEEE IAS chapter founded just in 2004.

  • 2017 18th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation in engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environment, means of support, and information technologies.

  • 2016 17th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environmnet, means of support, and information technologies.

  • 2015 16th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environment, means of support, and information technologies.

  • 2014 15th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environmnet, means of support, and information technologies.

  • 2013 14th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the fields of automation, mechanization, robotics, control, and IT in engineering and production, in research, applications and education.

  • 2012 13th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation in engineering and production, in research, applications and education. The conference will enable to present the most recent advances in complex mechanization, robotics, control of production and technological processes, including quality control systems oriented to environment, means of support, and information technologies.

  • 2011 12th International Carpathian Control Conference (ICCC)

    The aim of the conference is to support exchange of information and experience in the field of automation of engineering and production, in research, applications, and education. The conference will enable presentation of most recent advances in complex automation, robotics, modelling, control of production and technological processes, including quality control systems oriented to environment, means of support, and information technologies.


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Periodicals related to Forestry

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Electron Device Letters, IEEE

Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronic devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.


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Most published Xplore authors for Forestry

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Xplore Articles related to Forestry

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Conference Record of 2018 Annual Pulp, Paper and Forest Industries Technical Conference

2018 IEEE IAS Pulp, Paper and Forest Industries Conference (PPFIC), 2018

Red Lion Paper Valley Hotel Appleton, WI June 17 - 21, 2018


An Evaluation of Mos-I Messr Data for Land Applications

12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 1989

None


Mobil Cihazlar icin Aktivite Tanima Tabanli Adaptif Kullanici Arayuzu [Turkish-only]

2018 3rd International Conference on Computer Science and Engineering (UBMK), 2018

No English translation of this document was provided by the conference organizers.


Analysis Of Forest Disturbance Using TM and AVHRR Data

12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 1989

None


Forest Height Estimation Using Adaptive Decomposition Method of Polinsar Data

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

In this paper, we present an approach to retrieve forest height using an adaptive scattering model decomposition technique with PolInSAR data. This method combines the adaptive scattering model decomposition technique and the coherence amplitude method. This procedure enables the retrieval not only of the vegetation parameters but also of the magnitude associated with each mechanism. To test the performance of ...


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Educational Resources on Forestry

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IEEE-USA E-Books

  • Conference Record of 2018 Annual Pulp, Paper and Forest Industries Technical Conference

    Red Lion Paper Valley Hotel Appleton, WI June 17 - 21, 2018

  • An Evaluation of Mos-I Messr Data for Land Applications

    None

  • Mobil Cihazlar icin Aktivite Tanima Tabanli Adaptif Kullanici Arayuzu [Turkish-only]

    No English translation of this document was provided by the conference organizers.

  • Analysis Of Forest Disturbance Using TM and AVHRR Data

    None

  • Forest Height Estimation Using Adaptive Decomposition Method of Polinsar Data

    In this paper, we present an approach to retrieve forest height using an adaptive scattering model decomposition technique with PolInSAR data. This method combines the adaptive scattering model decomposition technique and the coherence amplitude method. This procedure enables the retrieval not only of the vegetation parameters but also of the magnitude associated with each mechanism. To test the performance of the proposed method ESAR PolInSAR L band data of Oberpfaffenhofen, in Germany is used to show the accuracy of the forest height estimation.

  • How many bits?

    Since 1982, Landsat has acquired multispectral data using 8-bit data. With many new and highly advanced systems and sensors being developed, we wish to evaluate the benefits of higher radiometric precision for forestry applications. Two industrial forestry sites in central Virginia are chosen to carry out this analysis because of the large variability in standing biomass associated with recovery from past harvest. IKONOS imagery and Earth Observing System's Advanced Land Imager (ALI) imagery are used in the study. These sensors acquire data using 11 and 12 bits, respectively. By subsampling to Landsat spatial resolution, and truncating the dynamic range and radiometric resolution, we can create Landsat-like image products at a variety of radiometric resolutions. Results show that although a difference can be seen when comparing datasets of higher and lower radiometric resolution, those differences appear to be small when trying to discriminate the boundaries of disturbed stands.

  • Performance evaluation on forestry enterprise marketing channel

    Using fuzzy comprehensive evaluation method in the systems engineering theory, this paper calculates the index which can not be fixed or compared with others in marketing channels evaluation system of forestry enterprises using mathematical methods, in order to achieve the purpose of unified quantitative evaluation and provide quantitative basis for enhancing the performance of marketing channels.

  • Development of a CPLD Based Wireless Remote Control System of Pruning Machine for Plantation Forest

    A wireless remote control pruning machine was developed for plantation forest. The new designed system mainly consists of two parts: a transmitting system in the form of a hand controller and a receiving system mounted on the frame of the machine to drive the mechanical system. The idea of using the complex programmable logic device (CPLD) to realize the digital signal processing for the control system was discussed in details. The structure of the electromechanical interface, the transmitting system and the receiving system were all presented in this paper. The point of technology for each part was analyzed. The whole remote control system has the advantages of simplicity, reliability of performance and function of anti-interference. It has been successfully used in the manufactured automatic pruning machine and the expected result is obtained.

  • Research on Three-Dimensional Simulation of Tree's Morphology Based on Tree-Crown Growth Model

    Iteration Function System (IFS) is one of the important methods for simulating three-dimensions of trees, but this method cannot simulate the process of tree growth. The relationship between crown-shape index and graphics was discussed in the paper through establishing a crown-shaped curve with the power function. In the crown-shaped curve, the relationship between trees crown- shaped curve and growth model was analyzed with the growth model data, and applied to control the IFS fractal. Then the IFS was controlled by the growth model and tree crown curve. Thus it provided an effective fractal method to simulate tree growth process.

  • Histogram-Based Image Pre-processing for Machine Learning

    This paper proposes to use some image processing methods as a data normalization method for machine learning. Conventionally, z-score normalization is widely used for pre-processing of data. In the proposed approach, in addition to z-score normalization, a number of histogram-based image processing methods such as histogram equalization are applied to training data and test data as a pre-processing method for machine learning. We evaluate the effectiveness of the proposed approach by using a support vector machine algorithm and a random forest one. In experiments, the proposed scheme is applied to a face-based authentication algorithm with SVM/random forest classifiers to confirm the effectiveness. For SVM classifiers, both z-score normalization and image enhancement work well as a pre-processing method for improving the accuracy. In contrast, for random forest classifiers, a number of image enhancement methods work well, although z-score normalization is unuseful for improving the accuracy.



Standards related to Forestry

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No standards are currently tagged "Forestry"


Jobs related to Forestry

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