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)




IEEE Organizations related to Vegetation

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Conferences related to Vegetation

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IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium

The Geoscience and Remote Sensing Society (GRSS) seeks to advance science and technology in geoscience, remote sensing and related fields using conferences, education and other resources. Its fields of interest are the theory, concepts and techniques of science and engineering as they apply to the remote sensing of the earth, oceans, atmosphere, and space, as well as the processing, interpretation and dissemination of this information.


2013 21st International Conference on Geoinformatics

GIS in Regional Economic Development and Environmental Protection under Globalization



Periodicals related to Vegetation

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Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.




Xplore Articles related to Vegetation

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Predicting the propagation loss through a tree canopy at millimeter frequencies — Forward scattering approximation — 3-D vector radiative transport theory

Saúl A. Torrico; Roger H. Lang 2011 XXXth URSI General Assembly and Scientific Symposium, 2011

The vector radiative transport theory is used to compute the attenuation produced by a tree canopy containing random located lossy-dielectric leaves and branches at millimeter wave frequencies. Using this approach, the forward scattering approximation is used to simplify the radiative transport equation. The forward scattering approximation is used since at millimeter frequencies, the leaves and branches are large and thick ...


Using Multi-spectral Remote Sensing Data to Extract and Analyze the Vegetation Information in Desert Areas

Huai-bao Zhao; Tong Liu; Yao-ping Cui; Jia-qiang Lei 2009 International Conference on Environmental Science and Information Application Technology, 2009

The coverage and spatial distribution of vegetation in desert areas are fundamental indexes to estimate the desertification severity, and acquiring vegetation information is very beneficial to carry out desertification monitoring and evaluation. Based on Landsat TM image of 2007, vegetation information of the western Gurbantunggut Desert was extracted with vegetation indexes and spectral mixture analysis. The results show that: the ...


A comparison of machine learning algorithms for regional wheat yield prediction using NDVI time series of SPOT-VGT

Michiel Stas; Jos Van Orshoven; Qinghan Dong; Stien Heremans; Beier Zhang 2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2016

This study compares two machine learning algorithms to predict regional winter wheat yields. The models, based on Boosted Regression Trees (BRT) and Support Vector Machines (SVM), are constructed of Normalized Difference Vegetation Indices (NDVI) derived from low resolution SPOT VEGETATION imagery. Three types of NDVI-related predictors were used: Single NDVI, Incremental NDVI and Targeted NDVI. BRT and SVM were first ...


Observations of variations in ERS-1 SAR image intensity associated with forest fires in Alaska

E. S. Kasischke; L. L. Bourgeau-Chavez; N. H. F. French IEEE Transactions on Geoscience and Remote Sensing, 1994

Investigations have shown that fires in boreal forests result in characteristic responses which are recorded on ERS-1 SAR imagery. Using one of the many fire signatures observed on ERS-1 SAR imagery, the analysis of the data revealed there is >10 dB in variation in image intensity within the burned areas on the SAR images. Possible explanations for this variation include ...


Secure path loss prediction using fuzzy logic approach

Akansha Gupta; S. C. Sharma; Sandip Vijay; Vishal Gupta 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008

Efficiency of present path loss models suffers when they are used in the environment other than for which they have been designed. The aim of this paper is to propose the predicting the path loss with the field measurement models and represent them in a more convenient form for the proposed fuzzy logic modeling. This paper proposes method to predict ...


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Educational Resources on Vegetation

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eLearning

Predicting the propagation loss through a tree canopy at millimeter frequencies — Forward scattering approximation — 3-D vector radiative transport theory

Saúl A. Torrico; Roger H. Lang 2011 XXXth URSI General Assembly and Scientific Symposium, 2011

The vector radiative transport theory is used to compute the attenuation produced by a tree canopy containing random located lossy-dielectric leaves and branches at millimeter wave frequencies. Using this approach, the forward scattering approximation is used to simplify the radiative transport equation. The forward scattering approximation is used since at millimeter frequencies, the leaves and branches are large and thick ...


Using Multi-spectral Remote Sensing Data to Extract and Analyze the Vegetation Information in Desert Areas

Huai-bao Zhao; Tong Liu; Yao-ping Cui; Jia-qiang Lei 2009 International Conference on Environmental Science and Information Application Technology, 2009

The coverage and spatial distribution of vegetation in desert areas are fundamental indexes to estimate the desertification severity, and acquiring vegetation information is very beneficial to carry out desertification monitoring and evaluation. Based on Landsat TM image of 2007, vegetation information of the western Gurbantunggut Desert was extracted with vegetation indexes and spectral mixture analysis. The results show that: the ...


A comparison of machine learning algorithms for regional wheat yield prediction using NDVI time series of SPOT-VGT

Michiel Stas; Jos Van Orshoven; Qinghan Dong; Stien Heremans; Beier Zhang 2016 Fifth International Conference on Agro-Geoinformatics (Agro-Geoinformatics), 2016

This study compares two machine learning algorithms to predict regional winter wheat yields. The models, based on Boosted Regression Trees (BRT) and Support Vector Machines (SVM), are constructed of Normalized Difference Vegetation Indices (NDVI) derived from low resolution SPOT VEGETATION imagery. Three types of NDVI-related predictors were used: Single NDVI, Incremental NDVI and Targeted NDVI. BRT and SVM were first ...


Observations of variations in ERS-1 SAR image intensity associated with forest fires in Alaska

E. S. Kasischke; L. L. Bourgeau-Chavez; N. H. F. French IEEE Transactions on Geoscience and Remote Sensing, 1994

Investigations have shown that fires in boreal forests result in characteristic responses which are recorded on ERS-1 SAR imagery. Using one of the many fire signatures observed on ERS-1 SAR imagery, the analysis of the data revealed there is >10 dB in variation in image intensity within the burned areas on the SAR images. Possible explanations for this variation include ...


Secure path loss prediction using fuzzy logic approach

Akansha Gupta; S. C. Sharma; Sandip Vijay; Vishal Gupta 2008 Fourth International Conference on Wireless Communication and Sensor Networks, 2008

Efficiency of present path loss models suffers when they are used in the environment other than for which they have been designed. The aim of this paper is to propose the predicting the path loss with the field measurement models and represent them in a more convenient form for the proposed fuzzy logic modeling. This paper proposes method to predict ...


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IEEE.tv Videos

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IEEE-USA E-Books

  • Vector Radiative Transfer

    Chapter 2 introduces the vector radiative transfer (VRT) theory of random media. It provides the scattering, absorption and extinction coefficients and the phase matrix of non-spherical scatterers in natural media. The first-order Mueller matrix solution of VRT for vegetation canopy model is derived. Polarization indexes, eigen-analysis and entropy are presented. Statistics of multi-look SAR images and covariance matrix are also investigated.

  • General Requirements

    This chapter contains sections titled: Referenced Sections (Not used in the current edition.) Induced Voltages Accessibility Inspection and Tests of Lines and Equipment Grounding of Circuits, Supporting Structures, and Equipment Arrangement of Switches General Vegetation Management

  • Effects of Vegetation Burning on the Atmospheric Chemistry of the Venezuelan Savanna

    This chapter contains sections titled: Venezuelan Savanna Climatic Region, Chemical Composition of Rain during Burning Periods, Atmospheric Concentrations of Gases, Airborne Particles, Soil Emission after Vegetation Burning

  • Radio Propagation

    This chapter contains sections titled: Introduction Loss in Free Space Atmospheric Effects on Propagation Diffraction Effects - The Fresnel Zone Problem Ground Reflection Fading From Another Perspective - A Discussion of Fading Fade Depth and Fade Duration Penalty for Not Meeting Obstacle Clearance Criteria Attenuation Through Vegetation

  • General Requirements

    This chapter contains sections titled: Referenced Sections (Not used in the current edition.) Induced Voltages Accessibility Inspection and Tests of Lines and Equipment Grounding of Circuits, Supporting Structures, and Equipment Arrangement of Switches General Vegetation Management

  • Remote Sensing of the Earth's Surfaces

    Progress in remote sensing of the Earth's surfaces in the period 1996-1998 is reviewed. The discussion is limited to active and passive microwave techniques, and to the combined use of microwave and optical/infrared methods. The topics include sensors and data sets, soil moisture, soil state and energy fluxes, vegetation, snow cover, water, and sea ice.



Standards related to Vegetation

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