IEEE Organizations related to Vegetation Mapping

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Conferences related to Vegetation Mapping

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Periodicals related to Vegetation Mapping

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Most published Xplore authors for Vegetation Mapping

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Xplore Articles related to Vegetation Mapping

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Supervised Image Interpretation of Spot-Data for the Detection of Agricututal Parcels in Different Vegetation Types in Zaire

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

None


Using Lowtran 6 And Dem To Derive Patr Radiance For Spot Imageries Over Mountainous Terrain

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

None


Cover Ciass Mapping In Agricultural Environments

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

None


A New Four-component Scattering Power Decomposition Applied to ALOS-PALSAR PLR Data Sets

8th European Conference on Synthetic Aperture Radar, 2010

A new four-component scattering power decomposition using a rotation of the coherency matrix is presented in order to distinguish vegetation and oriented urban area with respect to the direction of radar illumination in the volume scattering mechanism. It is known that oriented urban area and vegetation signatures have similar polarimetric responses and are decomposed into the same volume scattering mechanism ...


Polarization coherence tomography

Radio Science, 2006

In this paper we introduce a new radar-imaging technique, called polarization coherence tomography (PCT), which employs variation of the interferometric coherence with polarization to reconstruct a vertical profile function in penetrable volume scattering. We first show how this profile function can be efficiently represented as a Fourier-Legendre series, with tomographic reconstruction reducing to estimation of the unknown coefficients of this ...


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Educational Resources on Vegetation Mapping

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IEEE.tv Videos

Mapping Human to Robot Motion with Functional Anthropomorphism for Teleoperation and Telemanipulation with Robot Arm Hand Systems
3D Body-Mapping for Severely Burned Patients - Julia Loegering - IEEE EMBS at NIH, 2019
Road-Mapping Session with Deepa Prahalad at Internet Inclusion: Advancing Solutions, Delhi, 2016
Q&A with Jack Gallant: IEEE Brain Podcast, Episode 11
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware - Emre Neftci: 2016 International Conference on Rebooting Computing
NEREID: Systems Design & Heterogeneous Integration: Danilo Demarchi at INC 2019
LPIRC: A Facebook Approach to Benchmarking ML Workload
Neato Robotics' Roomba Competitor
2011 IEEE Awards Matt Ettus HKN Eminent Member Recognition
Application of Connectivity in Automated Driving - Gaurav Bansal: Brooklyn 5G Summit 2017
Applying Control Theory to the Design of Cancer Therapy
Closing Remarks & Robot Demos - VIC Summit 2019
IROS TV 2019-U.S. Military Academy, West Point- Robotics Research Center
Massive MIMO Active Antenna Arrays for Advanced Wireless Communications: IEEE CAS lecture by Dr. Mihai Banu
Panel: IoT - Smart Networks & Social Innovations - VIC Summit 2019
A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar
Light Our Future - IEEE Photonics Society
Connecting to Thrive Panel - Internet Inclusion: Global Connect Stakeholders Advancing Solutions, Washington DC, 2016
Setting the Conditions for 2020 - Internet Inclusion: Global Connect Stakeholders Advancing Solutions, Washington DC, 2016
2011 IEEE Awards James H. Mulligan, Jr. Education Medal - Raj Mittra

IEEE-USA E-Books

  • Supervised Image Interpretation of Spot-Data for the Detection of Agricututal Parcels in Different Vegetation Types in Zaire

    None

  • Using Lowtran 6 And Dem To Derive Patr Radiance For Spot Imageries Over Mountainous Terrain

    None

  • Cover Ciass Mapping In Agricultural Environments

    None

  • A New Four-component Scattering Power Decomposition Applied to ALOS-PALSAR PLR Data Sets

    A new four-component scattering power decomposition using a rotation of the coherency matrix is presented in order to distinguish vegetation and oriented urban area with respect to the direction of radar illumination in the volume scattering mechanism. It is known that oriented urban area and vegetation signatures have similar polarimetric responses and are decomposed into the same volume scattering mechanism in the decomposition. In this paper, a new decomposition scheme of first using a rotation of the coherency matrix followed by the fourcomponent decomposition is presented. It is shown using ALOS-PALSAR data sets that oriented urban areas are clearly distinguished from volume scattering as double bounce objects by the rotation of coherency matrix.

  • Polarization coherence tomography

    In this paper we introduce a new radar-imaging technique, called polarization coherence tomography (PCT), which employs variation of the interferometric coherence with polarization to reconstruct a vertical profile function in penetrable volume scattering. We first show how this profile function can be efficiently represented as a Fourier-Legendre series, with tomographic reconstruction reducing to estimation of the unknown coefficients of this series from coherence data. We then show that we can linearize this inversion by using a priori knowledge of two parameters, namely, volume depth and topographic phase. We further propose a new algorithm based on polarimetric interferometry to estimate these two from the data itself. To assess stability, we investigate both the single- and dual-baseline conditioning of the associated matrix inversion and then concentrate on the single-baseline case to demonstrate that for sufficient multilooking (around 50), stable retrievals of profiles can be obtained in the presence of coherence noise. Finally, we apply the technique to simulated L band coherent radar data to demonstrate its potential for new applications in radar remote sensing.

  • Analysis Of Forest Disturbance Using TM and AVHRR Data

    None

  • Primal sketch of image series with edge preserving filtering application to change detection

    This paper proposes an original approach to the problem of change detection into multitemporal image series. A primal sketch of the image is achieved with a modified Perona-Malik filter: relevant edges are extracted. Then, an application to change detection is proposed. The algorithm related to sketch outputs is performed through density of pixels images. It offers significant information about events that occurred between several acquisitions. Potential of the algorithm on high resolution images is shown, and limitations on very high resolution are explained.

  • Tabular summary of SIR-C/X-SAR results: synthetic aperture radar frequency and polarization requirements for applications in ecology and hydrology

    The Spaceborne Imaging Radar-C, X-Band Synthetic Aperture Radar (SIR-C/X-SAR) was the first multifrequency and multipolarization SAR system to be launched into space. SIR-C is a two-frequency radar which simultaneously acquires polarimetric C-band (5.8 cm wavelength) and polarimetric L-band (23.5 cm wavelength). X-SAR operates at X-band (3.1 cm wavelength) and vertical polarization (VV). SIR-C/X-SAR was carried in the cargo bay of the Space Shuttle Endeavour in April and October 1994, imaging over 300 sites around the Earth and returning 143 terabits of data. SIR-C/X-SAR data have been used to validate algorithms (developed from earlier aircraft data) which produce maps of vegetation type and biomass, snow, soil and vegetation moisture or the distribution of wetlands. A polarimetric X- and L-band radar is suggested as a result of this overview for future SAR sensors.

  • Canopy classification with S-band polarimetric SAR data

    New Synthetic Aperture Radar (SAR) missions in S-band are currently under design but the potential performance of this microwave frequency is still under discussion. This paper presents the outcomes of a study on canopy classification carried out with fully polarimetric S- and X-band datasets contemporaneously acquired by the Astrium airborne SAR demonstrator. Classical polarimetric decompositions have been applied to investigate the S-band capabilities in vegetation monitoring and preliminary results are here presented.

  • A noise detection method for NDVI time series data based on dixon test

    The normalized difference vegetation index (NDVI) time-series data, derived from satellite sensors, has been used to support land cover change detection and monitor crops successfully, but further applications are hindered by residual noise in the NDVI data. Methods for reducing noise and constructing high-quality NDVI time-series data sets can be broadly grouped into three general types, including threshold based methods, filter fitting method and curve fitting method. All of these methods are required to set up a certain number of empirical parameters and there is no objective criteria for the definition of noise. In this paper, suspicious noise points are detected from a statistical point of view, and dixon test are used to analyze NDVI data of many consecutive years, supplemented by the Quality Assurance (QA) analysis when judging the noise point. This approach reduces the dependence on prior knowledge, and the quantitative results of noise test can be provided for data correction and data reconstruction, so that preprocessing accuracy will be improved.



Standards related to Vegetation Mapping

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Jobs related to Vegetation Mapping

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