Vegetation

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Vegetation is a general term for the plant life of a region; it refers to the ground cover provided by plants. (Wikipedia.org)






Conferences related to Vegetation

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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 European Conference on Antennas and Propagation (EuCAP)

Antennas & related topics e.g. theoretical methods, systems, wideband, multiband, UWBPropagation & related topics e.g. modelling/simulation, HF, body-area, urbanAntenna & RCS measurement techniques


2018 Fifth International Conference on Emerging Applications of Information Technology (EAIT)

CSI Kolkata Chapter has started organizing this conference since 2006. The aim was to recognize the tremendous growth in the field of core and application areas of information technology. In addition to provide a forum to exchange ideas on the emerging areas of Information Technology the conference aims to bring together technologists, application developers and researchers from the industry, academic institutions and R&D Laboratories.

  • 2014 Fourth International Conference of Emerging Applications of Information Technology (EAIT)

    Organized by Computer Society of India Kolkata Chapter. EAIT 2006, EAIT 2011 and EAIT 2012 proceedings published by Elsevier, IEEE CS and IEEE respectively. Encouraged by the earlier responses CSI Kolkata Chapter is organizing EAIT 2014. Conference Goal is to recognize the tremendous growth in the field of core and application areas of Information Technology and in order to provide a forum to exchange ideas on the emerging areas of Information Technology and to bring together technologists, application developers and researchers from the industry, academic institutions and R&D Laboratories with a purpose of blending theory, practice and research.

  • 2012 Third International Conference on Emerging Applications of Information Technology (EAIT)

    Organized by Computer Society of India Kolkata Chapter. EAIT 2006 and EAIT 2011 proceedings published by Elsevier and IEEE CS respectively. Encouraged by the earlier responses CSI Kolkata Chapter is organizing EAIT2012 comprising of pre-conference tutorials, lectures by eminent speakers of international repute, session papers and panel discussions.

  • 2011 Second International Conference on Emerging Applications of Information Technology (EAIT)

    The First International Conference on Emerging Applications of Information Technology (EAIT 2006) organized and hosted by the CSI Kolkata Chapter was bravura success. Keeping the tradition CSI Kolkata Chapter is organizing the Second International Conference on Emerging Applications of Information Technology (EAIT 2011). The event will comprise of Pre-Conference Tutorials, plenary sessions, invited lectures by eminent speakers of international repute, session papers and panel discussions. To recognize the


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Periodicals related to Vegetation

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


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.


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; ...


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


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Most published Xplore authors for Vegetation

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Xplore Articles related to Vegetation

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Spatial heterogeneity of vegetation in China

Tsinghua Science and Technology, 2007

The spatial heterogeneity and ecological characteristics of 74 vegetation types and the lack of vegetation type within the 9.6 million km2of Chinese territory were studied using data from the China vegetation map. The analysis used 877 large quadrats 10 mn × 10mm (actual size 100 km × 100 km), which covered about 8.77 million km2, Each large-quadrat was divided into ...


Region character of seasonal change in vegetation activity in response to climate change in the West of China in recent 20 years

2011 International Conference on Electrical and Control Engineering, 2011

Using NDVI data of NOAA-AVHRR in recent 20 years and the temperature and precipitation data of west China, the vegetation activity is discussed by adopting the EOF and REOF decompose functions. The result shows that it is increasing of overall trend of vegetation activity in different seasons, which reflects the growth period of vegetation is advanced and prolonged under the ...


Mapping the Irradiance Field of a Single Tree: Quantifying Vegetation-Induced Adjacency Effects

IEEE Transactions on Geoscience and Remote Sensing, None

Imaging spectroscopy is frequently used to assess traits and functioning of vegetated ecosystems. Applied reflectance- and radiance-based approaches critically rely on accurate estimates of surface irradiance. Accurate retrievals of surface irradiance are, however, nontrivial and often error- prone, thus causing inaccurate estimates of vegetation information. We analyze the irradiance field surrounding an isolated tree using the 3-D radiative transfer model ...


Vegetation spatial heterogeneity of different soil regions in inner mongolia, China

Tsinghua Science and Technology, 2007

The vegetation spatial heterogeneity and ecological characteristics in different soil regions were analyzed by surveying the vegetation in 12 different soil regions of Inner Mongolia, China, including coniferous- broadleaf deciduous forests, shrub, grassland, and desert regions with 1122 large 2 cm × 2 cm quadrats (actual size 30 km × 30 km, referred to as L-quadrat hereafter) in about 1.18 ...


The forest vegetation NPP spatial pattern analysis of Jing-Jin-Ji region

The 2nd International Conference on Information Science and Engineering, 2010

The estimation of vegetation net primary production (NPP) is the basis and important content of global carbon cycling research. The development and application of remote sensing technology provided a new method for the estimation of NPP. Based on the application of remote sensing and GIS technology, using the improved Carnegie Ames Stanford Approach (CASA) model, the vegetation NPP of Jing-Jin-Ji ...


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  • Spatial heterogeneity of vegetation in China

    The spatial heterogeneity and ecological characteristics of 74 vegetation types and the lack of vegetation type within the 9.6 million km2of Chinese territory were studied using data from the China vegetation map. The analysis used 877 large quadrats 10 mn × 10mm (actual size 100 km × 100 km), which covered about 8.77 million km2, Each large-quadrat was divided into four small 5 mm × 5 mm quadrats (actual size 50 km × 50 km). The frequency of occurrence of all vegetation types was recorded in each small quadrat. The survey using the Shiyomi method of vegetation analysis based on the beta-binomial distribution was adopted to describe the frequency of occurrence and spatial heterogeneity for each kind of vegetation. The weighted average heterogeneity of all the vegetation types in the landscape provides a measure of the landscape level heterogeneity which describes the spatial intricacy of the existing vegetation composition. The maximum spatial vegetation heterogeneity was 0.8620 in the frigid-temperate coniferous forest of Larix (V1), which dominates cold moist northeast China. The minimum spatial heterogeneity with a low occurrence was the Caragana tibetica in the gravel desert in the western Yellow River Hetao area. The minimum occurrence with a low spatial heterogeneity was the Monsoon rainforest on rock in Guangxi and Yunnan Provinces. The vegetation types on the Qing-Zang Plateau were found to be representative of Chinese vegetation because of the very high occurrence and spatial heterogeneity of these vegetation types. The weighted average of the heterogeneity was 0.677, while the vegetation diversity index was 3.29.

  • Region character of seasonal change in vegetation activity in response to climate change in the West of China in recent 20 years

    Using NDVI data of NOAA-AVHRR in recent 20 years and the temperature and precipitation data of west China, the vegetation activity is discussed by adopting the EOF and REOF decompose functions. The result shows that it is increasing of overall trend of vegetation activity in different seasons, which reflects the growth period of vegetation is advanced and prolonged under the circumstance of climate warming, but the vegetation envelopment has much inconsistency between different regions and seasons. There are 4 notable regions, 8 sub-areas for vegetation envelopment in spring and summer, and 9 sub-areas in autumn. The vegetation activity in the most sub-areas is increasing. The most notable region is represented by Lazi station in Tibet plateau. Two other marked stations are represented by Aletai station in Xinjiang province and Penshui station in Sichuan province. But the trend through the time series analysis of NDVI of the other two sub-areas, Tulufan station in Xinjiang province and Huashan station in Shanxi province, are descending. It is an important reason of vegetation envelopment that temperature ascends in the most regions and descends in the east region in some seasons. But another important reason for vegetation envelopment is that precipitation is ascending in the west and descending in the east of the region.

  • Mapping the Irradiance Field of a Single Tree: Quantifying Vegetation-Induced Adjacency Effects

    Imaging spectroscopy is frequently used to assess traits and functioning of vegetated ecosystems. Applied reflectance- and radiance-based approaches critically rely on accurate estimates of surface irradiance. Accurate retrievals of surface irradiance are, however, nontrivial and often error- prone, thus causing inaccurate estimates of vegetation information. We analyze the irradiance field surrounding an isolated tree using the 3-D radiative transfer model DART in high spatial (25 cm) and spectral (1 nm, 350-2500 nm) resolution. We validate modeled irradiance with in situ measurements and quantify the impact of erroneous surface irradiance estimates on the retrieval of vegetation indices. We observe the irradiance gradients in the cast shadows of <560% in the blue spectral range, while this gradient decreases with increasing wavelength and becomes negligible in the near infrared (NIR). Furthermore, we quantify a vegetation-induced decrease in the irradiance of <6% in the visible spectral region and an increase of <7% in the NIR outside the cast shadow. Commonly employed vegetation indices are also affected by such brightening or darkening effects. Outside the cast shadow, indices sensitive to the relative content of chlorophyll (CHL) and carotenoids (CAR) show an overestimation of <14%. The photochemical reflectance index shows an underestimation of <5%. This paper provides first quantitative insight in high spatial and spectral resolution, on the impact of vegetation on its surrounding irradiance field. Findings highlight important implications for vegetation assessments and provide the fundamental base to advance retrievals of vegetation traits and functioning from imaging spectroscopy data.

  • Vegetation spatial heterogeneity of different soil regions in inner mongolia, China

    The vegetation spatial heterogeneity and ecological characteristics in different soil regions were analyzed by surveying the vegetation in 12 different soil regions of Inner Mongolia, China, including coniferous- broadleaf deciduous forests, shrub, grassland, and desert regions with 1122 large 2 cm × 2 cm quadrats (actual size 30 km × 30 km, referred to as L-quadrat hereafter) in about 1.18 million krn2. Each Lquadrat was divided into four small 1 cm × 1 cm quadrats (actual size 15 km × 15 km, S-quadrat). The vegetation was analyzed based on the beta-binomial distribution to describe the frequency of occurrence and spatial heterogeneity for each kind of vegetation. The weighted average of the heterogeneity of all vegetation in the same soil region provides a measure of the soil regional landscape level heterogeneity which describes the spatial complexity of the regional landscape composition of the existing vegetation. Comparison of the vegetation characteristics in the 12 soil regions shows that, the calcic gray soil has the highest average vegetation type per quadrat. The largest soil region is calcic chestnut soil and has the most vegetation types. Every soil region has its own dominant vegetation sequence which dominates in occurrence and dominant vegetation types which dominates in spatial heterogeneity. For the Inner Mongolian vegetation, the weighted average of the heterogeneity is 0.60 and the vegetation diversity index is 4.47.

  • The forest vegetation NPP spatial pattern analysis of Jing-Jin-Ji region

    The estimation of vegetation net primary production (NPP) is the basis and important content of global carbon cycling research. The development and application of remote sensing technology provided a new method for the estimation of NPP. Based on the application of remote sensing and GIS technology, using the improved Carnegie Ames Stanford Approach (CASA) model, the vegetation NPP of Jing-Jin-Ji region in 2004 was estimated. And on this basis, this paper analyzed the forest vegetation NPP spatial pattern in the study area, including the overall distribution of NPP, NPP in each region and NPP of various forest types, et al. The result shows that the vegetation NPP gradually decreased from northwest to southeast, and had certain latitude zonal and vertical zonal rule, but the longitude zonal rule was not obvious.

  • Modeling of the potential vegetation index of steppe in the western part of the Chinese Loess Plateau

    The Chinese Loess Plateau has experienced drastic human-induced land cover change in the last century. The Chinese government has planned a long-term project to restore the ecology and thus the environment. This effort requires the information of the ecological potential. This study presented a complete procedure for spatially modeling the potential vegetation index in arid Loess Plateau region. Spatially distributed wetness index was used to depict the environmental condition at each pixel. Enhanced Vegetation Index (EVI) of current steppe was obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) data. A statistical relationship between the wetness index and the MODIS EVI were established. Based on the statistical relationship, potential EVI was estimated at each pixel. The results show that: (1) the potential EVI ranges from 0.15 to 0.25, (2) actual EVI of irriguous farmlands is obviously greater than the potential EVI of them, and (3) actual EVI of urban area is lower than the potential EVI of them. We believe that the modeled result can effectively facilitate the vegetation restoration planning for this area. In addition, the result may function as a base against which to estimate the historic changes in land cover and land use.

  • Radio wave propagation through vegetation: Factors influencing signal attenuation

    The paper describes an extensive wideband channel sounding measurement campaign to investigate signal propagation through vegetation. The measurements have been conducted at three frequencies (1.3, 2 and 11.6 GHz) at sites with different measurement geometries and tree species. The data have been used to evaluate current narrowband empirical vegetation attenuation models and study the prevailing propagation mechanisms. Evaluation of the modified exponential decay (MED), maximum attenuation (MA) and nonzero gradient (NZG) models show that on a site by site basis, the NZG model gives the best prediction of excess attenuation due to vegetation. The MA model has been found to be the worst of the three models. The studies have shown that the measurement site used to obtain the NZG model parameter values given in International Telecommunication Union (ITU) [2001] is influenced by metal lampposts and passing traffic, and thus was based on corrupted data. The results show that the leaf state, measurement geometry and vegetation density are more important factors influencing signal attenuation than tree species or leaf shape. Generally, the 11.6 GHz signal was attenuated much more than the 1.3 and 2 GHz signals by vegetation in-leaf, but the differences in attenuation were not significant in the out-of-leaf state. A successful excess attenuation model due to vegetation must consider the measurement geometry and vegetation descriptive parameters as well as any contributions from ground reflection and/ or diffraction over the top or round edges of the trees.

  • Modeling tree scattering in rural residential areas at 3.5 GHz

    This paper addresses the modeling of tree scattering in rural residential areas at 3.5 GHz using a 3-D ray-optical approach. In this approach, a 3-D digital map of rural residential areas is constructed, where the terrain's signature, buildings, as well as vegetation are included. In particular, a tree is modeled as a cylindrical volume with radii varying from 2 to 5 m. Trees within a tree group are assumed to be uniformly distributed with a separation distance varying from 10 to 20 m. The scattered fields within a tree volume are determined by using the Foldy-Lax multiple scattering theory. Measurement data derived from cross-season measurement campaigns in a vegetated rural area in Germany are used to verify the simulation results.

  • Extraction of trees and grasses in urban green land based on texture character of high resolution remote sensing image

    Application high resolution remote sensing image, based on multiscale segmentation and object-oriented image analysis method, and vegetation index was computed, green land was extracted. In order to distinguish different types of vegetation, applying texture character classification algorithm of grey co-occurrence matrix, trees and grasses were extracted respectively. By accurate evaluation, classification had higher accuracy, the result revealed that the way could derive trees and grasses exactly.

  • Model free polarimetric SAR tomography of a tropical forest

    The aim of this paper is to analyze the scattering mechanisms (SMs) which take part in a forest when imaged by means of a SAR system. In such a natural environment many different targets can contribute to the radar signal, two main contributions can be recognized though. The former has the phase center placed at the ground level whereas the latter corresponds to the canopies above it. In this work particular attention is paid to the ground level so that it had to be isolated from the contribution of the canopies. The rejection of contribution coming from upper layers has been achieved by means of SAR tomography (TomSAR). Whenever the resolution along the vertical is fine enough TomSAR is able to focus on a specific height according to a model free approach returning a full resolution Single Look Complex (SLC) image. Such a SLC associated with the ground level has been then analyzed by means of standard polarimetric processing to understand the physical phenomena underlying the data: a strong contribution from the ground trunk interaction has been found. The behavior of such a double bounce mechanism has been simulated by means of a very simple model for the dihedral backscattering. The proper setting of parameters of the model revealed that the length of the trunk has a very little impact compared to the length of the basis of the dihedral. Such a conclusion has been finally interpreted by referring to macroecological considerations.



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