Conferences related to MODIS

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Oceans 2020 MTS/IEEE GULF COAST

To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.

  • OCEANS 2018 MTS/IEEE Charleston

    Ocean, coastal, and atmospheric science and technology advances and applications

  • OCEANS 2017 - Anchorage

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorials on ocean technology, workshops and town meetings on policy and governmental process.

  • OCEANS 2016

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 500 technical papers and 150 -200 exhibits.

  • OCEANS 2015

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2014

    The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2013

    Three days of 8-10 tracks of technical sessions (400-450 papers) and concurent exhibition (150-250 exhibitors)

  • OCEANS 2012

    Ocean related technology. Tutorials and three days of technical sessions and exhibits. 8-12 parallel technical tracks.

  • OCEANS 2011

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2010

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2009

  • OCEANS 2008

    The Marine Technology Society (MTS) and the Oceanic Engineering Society (OES) of the Institute of Electrical and Electronic Engineers (IEEE) cosponsor a joint conference and exposition on ocean science, engineering, education, and policy. Held annually in the fall, it has become a focal point for the ocean and marine community to meet, learn, and exhibit products and services. The conference includes technical sessions, workshops, student poster sessions, job fairs, tutorials and a large exhibit.

  • OCEANS 2007

  • OCEANS 2006

  • OCEANS 2005

  • OCEANS 2004

  • OCEANS 2003

  • OCEANS 2002

  • OCEANS 2001

  • OCEANS 2000

  • OCEANS '99

  • OCEANS '98

  • OCEANS '97

  • OCEANS '96


2019 6th International Conference on Space Science and Communication (IconSpace)

The scope of the conference are astronomy and astrophysics, atmospheric and magnetospheric sciences, geosciences and remote sensing, satellite and communication technology and interdisciplinary space sciences.

  • 2015 International Conference on Space Science and Communication (IconSpace)

    Given the rapid development of space science and technology, that has gained tremendous importance in the sustainable development of natural resources, telecommunications, meteorology and related fields, and the increase in the number of participants since the last three conferences: the IconSpace2009, IconSpace2011 and IconSpace2013. The 2015 International Conference on Space Science and Communication (IconSpace2015) with a theme “Space Technology for Humanity” will be the 4th in the series of conferences organized by ANGKASA Universiti Kebangsaan Malaysia and IEEE through IEEE Malaysia Communication – Vehicular Technology Society Chapter. IconSpace2015 aims to address advances in research on space science and communication by bring together researchers in the fields of space science, communication technology and related fields to present their research findings as well as create opportunities for more research collaborations by joining this conference.

  • 2013 International Conference on Space Science and Communication (IconSpace)

    Atmospheric Sciences,Remote Sensing,Communication Technology,Astrophysics and Astronomy,Satellite Communication,Terrestrial Communication and Satellite Technology

  • 2011 International Conference on Space Science and Communication (IconSpace)

    Space Science (Solar Terrestrial and Space Weather, Astrophysics and Astronomy, Upper Atmospheric Sciences, Lower Atmospheric Sciences, Atmospheric Chemistry and Physics); Space and Satellite Communication (Remote Sensing, Satellite Communications, Terrestrial Communications and Satellite Technology)

  • 2009 International Conference on Space Science and Communication (IconSpace)

    A. Space Science: Solar-terrestrial and Space weather, Total Electron Content and Tomography, Astrophysics and Astronomy, Upper Atmospheric and Ionospheric Sciences, Atmospheric Chemistry and Physics; Space Communication: Atmospheric-Ionospheric remote sensing techniques, Wireless and Satellite Communication, Microwave and satellite sensing, Space Geodesy Techniques


2019 IEEE International Conference on Signal and Image Processing Applications (ICSIPA)

The conference scope would be covering latest technological advances and research results in the fields of theoretical, experimental and applied signal, image and video processing. Hence, IEEE ICSIPA conference seeks original high quality submissions addressing innovative research in the broad field of signal, image and video processing. These broad fields include but not limited to 1) Acquisition, Storage, Retrieval and Display, 2) Computer Vision Processing and Analysis, 3) Information Forensics and Security, 4) Biomedical Signal Processing, 5)Applied Signal and Speech Processing, and 6) Emerging 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.


2018 12th International Symposium on Antennas, Propagation and EM Theory (ISAPE)

ISAPE, a serial symposium on antennas, propagation, and EM theory, offers an active forum for exchanging creative ideas and experiences on the latest developments and designs in the areas of antennas, propagation, and electromagnetic theory for professors, researchers, engineers, and excellent students all over the world.


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Periodicals related to MODIS

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Geoscience and Remote Sensing Letters, IEEE

It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...


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.


Sensors Journal, IEEE

The Field of Interest of the IEEE Sensors Journal is the science and applications of sensing phenomena, including theory, design, and application of devices for sensing and transducing physical, chemical, and biological phenomena. The emphasis is on the electronics, physics, biology, and intelligence aspects of sensors and integrated sensor-actuators. (IEEE Guide for Authors) (The fields of interest of the IEEE ...



Most published Xplore authors for MODIS

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Xplore Articles related to MODIS

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Correction to "Spatial Validation of the Collection 4 MODIS LAI Product in Eastern Amazonia"

IEEE Transactions on Geoscience and Remote Sensing, 2005

None


EOS's Moderate Resolution Imaging Spectrometer (MODIS)

IEEE Expert, 1995

None


Retrieval and Validation of Sea Ice Concentration from AMSR-E/AMSR2 in Polar Regions

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

Sea ice concentration (SIC) is an important sea ice parameter of the atmosphere-ice-ocean system in the polar region. Daily 6.25 km AMSR-E/AMSR2 SIC from Bremen University (UB) is one of the widely used SIC products. In this paper, MODIS data and aerial image are used to validate this product. The results show that the daily mean AMSR-E ASI products underestimate ...


Development of a multilayer modis IST-albedo product of Greenland

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017

A new multilayer IST-albedo Moderate Resolution Imaging Spectroradiometer (MODIS) product of Greenland was developed to meet the needs of the ice sheet modeling community. The multiple layers of the product enable the relationship between IST and albedo to be evaluated easily. Surface temperature is a fundamental input for dynamical ice sheet models because it is a component of the ice ...


Canopy vertical structure using MODIS Bidirectional Reflectance data

2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Canopy spectral invariant variables, escape probability and recollision probability, are wavelength independent and intrinsic canopy structure properties. They provide a physical interpretation of the correlation between canopy architecture and multi-angle spectral data. The 500m Moderate resolution Imaging Spectroadiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product from study sites at Howland Forest, Maine are used to develop multivariate linear regression models ...


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Educational Resources on MODIS

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IEEE.tv Videos

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IEEE-USA E-Books

  • Correction to "Spatial Validation of the Collection 4 MODIS LAI Product in Eastern Amazonia"

    None

  • EOS's Moderate Resolution Imaging Spectrometer (MODIS)

    None

  • Retrieval and Validation of Sea Ice Concentration from AMSR-E/AMSR2 in Polar Regions

    Sea ice concentration (SIC) is an important sea ice parameter of the atmosphere-ice-ocean system in the polar region. Daily 6.25 km AMSR-E/AMSR2 SIC from Bremen University (UB) is one of the widely used SIC products. In this paper, MODIS data and aerial image are used to validate this product. The results show that the daily mean AMSR-E ASI products underestimate SICs about 17.9% based on the aerial image, and underestimate SICs about 8.5% based on MODIS image. The sea ice extent (SIE) and sea ice area (SIA) which are derived from SIC by ASI algorithm, Dynamic Tie-point ASI algorithm (DT-ASI) as well as NT algorithm are compared.

  • Development of a multilayer modis IST-albedo product of Greenland

    A new multilayer IST-albedo Moderate Resolution Imaging Spectroradiometer (MODIS) product of Greenland was developed to meet the needs of the ice sheet modeling community. The multiple layers of the product enable the relationship between IST and albedo to be evaluated easily. Surface temperature is a fundamental input for dynamical ice sheet models because it is a component of the ice sheet radiation budget and mass balance. Albedo influences absorption of incoming solar radiation. The daily product will combine the existing standard MODIS Collection-6 ice-surface temperature, derived melt maps, snow albedo and water vapor products. The new product is available in a polar stereographic projection in NetCDF format. The product will ultimately extend from March 2000 through the end of 2017.

  • Canopy vertical structure using MODIS Bidirectional Reflectance data

    Canopy spectral invariant variables, escape probability and recollision probability, are wavelength independent and intrinsic canopy structure properties. They provide a physical interpretation of the correlation between canopy architecture and multi-angle spectral data. The 500m Moderate resolution Imaging Spectroadiometer (MODIS) Bidirectional Reflectance Distribution Function (BRDF) product from study sites at Howland Forest, Maine are used to develop multivariate linear regression models to estimate canopy vertical structure using both escape probabilities and directional reflectance. These are compared with canopy height information which has been retrieved from the airborne Laser Vegetation Imaging Sensor (LVIS) at a finer scale spatial resolution. Both the escape probability and the directional reflectance approaches achieve similar results with correlation coefficients of 0.63-0.66. This suggests that the MODIS 500m BRDF data can be useful in extrapolating limited lidar information on canopy vertical structure to larger regional areas.

  • Detection of oil spills using feature extraction and threshold based segmentation techniques

    Satellite images can improve the possibilities for the detection of oil spills as they cover large areas and offer an economical and easier way of continuous coast areas patrolling. There are many common techniques to detect dark formations on the SAR images. This paper mainly focuses on method with spot feature extraction and global thresholding. The main approach used in this paper is detecting the dark spots, using local and global threshold algorithms. For each dark spot, a number of features are calculated in order to classify the slick as either oil or other possible geographical or natural components of water. The proposed threshold algorithm, initially analyzes the SAR images, and then assigns a probability to the dark spot to indicate whether it is an oil spill or look alike.

  • A temporal-BRDF model-based approach to change detection

    Remote Sensing provides the only practical means to monitor changes over large areas. This paper describes the development of a generic algorithm designed to map the temporal occurrence and spatial extent of areas exhibiting sudden change. The algorithm is demonstrated here applied to the problem of mapping fire-affected areas. The research further develops the work of, which implemented a bi-directional reflectance (BRDF) model-based change detection algorithm to map the approximate day and location of burning, using daily 500 m MODIS surface reflectance data. An original algorithm assumption is that the surface state remains static prior to the changes of interest. This is problematic in the presence of underlying change (for example, due to vegetation phenology) especially when there are missing and/or cloudy data. In an attempt to deal with this issue, an additional kernel has been added to the BRDF model in the form of a cubic function of time. In addition, a step function kernel has been introduced in order to more robustly detect step-like changes. These modifications and preliminary results over southern Africa using daily MODIS land surface reflectance data are presented

  • A technique of inter-sensor VI translations using EO-1 Hyperion data to minimize systematic differences in spectral band-pass filters

    Utilization of satellite date from multiple platforms increases our chances of more frequent and accurate observations of the Earth's surface in both global and regional scale For the purpose of vegetation monitoring, this will be particularly true by combining the data from sensors of various spatial, spectral, and temporal resolutions, e.g. the combinations of data from AVHRR (broad band), MODIS (narrow band) and ETM+ (higher spatial resolution). Even though the same spectral vegetation index can be obtained from these sensors, the two main issues need to be considered, one is the systematic differences caused by the spectral response functions, and the other is the differences in spatial resolutions. This paper investigates the spectral issue and its role in the spectral calibration of NDVI among sensors. Hyperspectral data from Hyperion onboard the EO-1 platform were used to simulate outputs from various sensors by band convolution. The data were initially corrected for Rayleigh scattering and Ozone absorption to produce the top-of-the-canopy reflectance as a starting point. The technique first designs a sensor-specific vegetation index (VI) and background brightness index (BI) by accounting for the differences in band-pass filters. These VIs and BIs are then used to estimate the common parameters (sensor independent parameters) attributed to vegetation amount and background brightness. Finally, these parameters are used for the translation of VI among sensors.

  • Detecting land cover change by evaluating the internal covariance matrix of the Extended Kalman Filter

    In this paper, the internal operations of an Extended Kalman Filter is investigated to see if any useful information can be derived to detect land cover change in a MODIS time series. The Extended Kalman Filter expands its internal covariance if a significant change in reflectance value is observed, followed by adapting the state parameters to compensate for this change. The analysis shows a change detection accuracy above 90% can be attained when evaluating the elements within the internal covariance matrix to detect new human settlements, with a corresponding false alarm rate below 11%.

  • A Generalized Scenario For Cloud Detection Using Modis-n

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Standards related to MODIS

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