Conferences related to US Department of Agriculture

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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


2011 Atlanta Conference on Science and Innovation Policy

The confrence will explore the broad range of capacity-related issues central to the structure, function, performance and outcomes of the STEM innovation enterprise.

  • 2009 Atlanta Conference on Science and Innovation Policy

    Science and innovation are aimed at change new knowledge, new techniques, and fresh approaches to addressing the major challenges facing humanity. The 2009 Atlanta Conference on Science and Innovation policy will focus on ways that science and innovation policies can shape the future by setting goals such as safety, economic security, improved health, and environmental quality and by designing programs to reach these goals.



Periodicals related to US Department of Agriculture

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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.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Robotics & Automation Magazine, IEEE

It will build upon the existing newsletter base by adding high quality technical articles in the areas of: applied research, state of the shelf solutions and technologies, and education. Articles will be targeted toward the practicing engineer. Creative solutions to real-world problems will be emphasized. Implementation details will be highlighted. Tutorials will provide the technical and historical knowledge required to ...



Most published Xplore authors for US Department of Agriculture

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Xplore Articles related to US Department of Agriculture

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Multitemporal passive microwave mapping in MACHYDRO'90

T. J. Jackson; E. T. Engman; D. Le Vine; T. J. Schmugge; R. Lang; E. Wood; W. Teng IEEE Transactions on Geoscience and Remote Sensing, 1994

MACHYDR0'90 was an experiment conducted in Pennsylvania in 1990 to study the synergistic use of remote sensors in multitemporal hydrologic studies. As part of this mission the pushbroom microwave radiometer was flown and used to produce brightness temperature maps. Verification studies and vegetation algorithms for mixed land cover areas are described


Using Airborne Laser Profiler Data To Determine Shrub Cover In A South Texas Rangeland

J. C. Ritchie; T. J. Jackson; J. H. Everitt; D. E. Escobar; M. R. Davis 10th Annual International Symposium on Geoscience and Remote Sensing, 1990

First Page of the Article ![](/xploreAssets/images/absImages/00688555.png)


Accessing and extending the utility of United States forest inventory data

P. D. Miles; R. E. McRoberts; K. E. Skog; W. D. Shepperd; J. S. Vissage; B. J. Stokes Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004., 2004

The Forest Inventory and Analysis program of the United States Forest Service has been operational since the 1930's. Data collected prior to 1977 is unavailable in electronic format. More recent data is available for downloading from the Internet. Reporting tools such as the forest inventory mapmaker Web-application have been developed to generate population estimates of forest area, numbers of trees, ...


Identification of trash types and computation of trash content in ginned cotton using soft computing techniques

M. Siddaiah; N. R. Prasad; M. A. Lieberman; S. E. Hughs 42nd Midwest Symposium on Circuits and Systems (Cat. No.99CH36356), 1999

This paper discusses the use of soft computing techniques such as Fuzzy Logic and Neural Network based approaches in the identification of various types of trash (non-lint material/foreign matter), and the computation of trash content in ginned cotton. Lint is the cotton fiber; non-lint or foreign matter is essentially everything other than lint. Trash content is the percentage of sample ...


Multi-source and multi-classifier system for regional landcover mapping

C. K. Brewer; J. A. Barber; G. Willhauck; U. C. Benz IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003, 2003

Forest managers need consistent and continuous data on existing vegetation and landcover to address most land management issues and concerns. The current operational approach used by the USDA Forest Service, Northern Region to produce such data using a multi-source and multi-classifier system is described. The methodological components of this system include: (a) ecogeographic stratification, (b) production of image objects through ...


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Educational Resources on US Department of Agriculture

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eLearning

Multitemporal passive microwave mapping in MACHYDRO'90

T. J. Jackson; E. T. Engman; D. Le Vine; T. J. Schmugge; R. Lang; E. Wood; W. Teng IEEE Transactions on Geoscience and Remote Sensing, 1994

MACHYDR0'90 was an experiment conducted in Pennsylvania in 1990 to study the synergistic use of remote sensors in multitemporal hydrologic studies. As part of this mission the pushbroom microwave radiometer was flown and used to produce brightness temperature maps. Verification studies and vegetation algorithms for mixed land cover areas are described


Using Airborne Laser Profiler Data To Determine Shrub Cover In A South Texas Rangeland

J. C. Ritchie; T. J. Jackson; J. H. Everitt; D. E. Escobar; M. R. Davis 10th Annual International Symposium on Geoscience and Remote Sensing, 1990

First Page of the Article ![](/xploreAssets/images/absImages/00688555.png)


Accessing and extending the utility of United States forest inventory data

P. D. Miles; R. E. McRoberts; K. E. Skog; W. D. Shepperd; J. S. Vissage; B. J. Stokes Proceedings. 15th International Workshop on Database and Expert Systems Applications, 2004., 2004

The Forest Inventory and Analysis program of the United States Forest Service has been operational since the 1930's. Data collected prior to 1977 is unavailable in electronic format. More recent data is available for downloading from the Internet. Reporting tools such as the forest inventory mapmaker Web-application have been developed to generate population estimates of forest area, numbers of trees, ...


Identification of trash types and computation of trash content in ginned cotton using soft computing techniques

M. Siddaiah; N. R. Prasad; M. A. Lieberman; S. E. Hughs 42nd Midwest Symposium on Circuits and Systems (Cat. No.99CH36356), 1999

This paper discusses the use of soft computing techniques such as Fuzzy Logic and Neural Network based approaches in the identification of various types of trash (non-lint material/foreign matter), and the computation of trash content in ginned cotton. Lint is the cotton fiber; non-lint or foreign matter is essentially everything other than lint. Trash content is the percentage of sample ...


Multi-source and multi-classifier system for regional landcover mapping

C. K. Brewer; J. A. Barber; G. Willhauck; U. C. Benz IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003, 2003

Forest managers need consistent and continuous data on existing vegetation and landcover to address most land management issues and concerns. The current operational approach used by the USDA Forest Service, Northern Region to produce such data using a multi-source and multi-classifier system is described. The methodological components of this system include: (a) ecogeographic stratification, (b) production of image objects through ...


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