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Geography / Remote sensing / Cartography / Environmental soil science / Imaging / Land cover / Ecoregion / Normalized Difference Vegetation Index / Landsat 7 / Earth / Physical geography / Biogeography


The Characteristics and Interpretability of Land Surface Change and Implications for Project Design
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Document Date: 2013-12-06 20:15:04


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File Size: 911,71 KB

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City

Boca Raton / Lancaster / Washington D.C. / Minneapolis / Falls Church / Las Vegas / Salt Lake City / Desert / Reston / Yogyakarta / Bethesda / AONB / Lincoln / /

Company

Science Applications International Corporation / Amazon / CRC Press / Avery / Burgess Publishing Company / International Journal / Ryerson / NASA’s Earth Science Enterprise / /

Country

Northern Ireland / United Arab Emirates / Indonesia / United States / Brazil / India / /

Currency

USD / /

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Event

Environmental Issue / /

Facility

Colorado State University / Fort Collins / Hall et al. / /

IndustryTerm

land-cover change applications / individual products / desktop computing power / Software tools / higher resolution satellite sensors / satellite imagery / fuzzy classification systems / high temporal-resolution satellite data / change products / digital processing / land-cover change-detection algorithm / thematic classification systems / land-cover and land-cover-change mapping applications / deductive processing / electricity generation / land-cover products / change-detection applications / segmentation algorithm / change product / /

NaturalFeature

Barren Mines forest / Amazon forest / Quarries forest / Mechanically Disturbed Non-mechanically Disturbed Natural forest / Non-mechanically Disturbed Natural forest / Natural Barren forest / Barren forest / Natural Barren Mines forest / Disturbed Non-mechanically forest / Mechanically Disturbed Non-mechanically Disturbed forest / Non-mechanically Disturbed Natural Barren forest / Green Mountains / Non-mechanically Disturbed forest / Disturbed Non-mechanically Disturbed Natural Barren Mines forest / Appalachians / Mines forest / Blue Ridge Mountains / Mechanically Disturbed Non-mechanically Disturbed Natural Barren forest / Amazon forests / Antrim Coast / Non-mechanically forest / Disturbed forest / Disturbed Natural forest / Disturbed Non-mechanically Disturbed Natural forest / Mechanically Disturbed forest / Mechanically Disturbed Non-mechanically Disturbed Natural Barren Mines forest / Disturbed Natural Barren Mines forest / Disturbed Non-mechanically Disturbed Natural Barren forest / Disturbed Non-mechanically Disturbed forest / Mechanically forest / Disturbed Natural Barren forest / Natural forest / Mechanically Disturbed Non-mechanically forest / Non-mechanically Disturbed Natural Barren Mines forest / /

Organization

etc / American Society for Photogrammetry and Remote Sensing / USGS EROS Data Center / Colorado State University / Coast Range Association / National Aeronautics and Space Administration / American Society of Photogrammetry / Association of American Geographers / Environmental Protection Agency / /

Person

Alisa L. Gallant / James Vogelmann / P. Lefebvre / U.L. Silva Jr. / J. Bishop / D.K. Scholz / E. Prins / Collin Homer / Robert N. Colwell / Terry L. Sohl / J.P. Capobianco / J. Lopez Garcia / P. Moutinho / /

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Position

editor / D.J. / interpreter / human interpreter / analyst / Bishop / /

ProvinceOrState

Nebraska / Vermont / Minnesota / Virginia / Maryland / Nevada / Oregon / South Dakota / Piedmont / Rajasthan / Florida / Georgia / Colorado / /

PublishedMedium

Forest Ecology and Management / /

Region

Eastern Amazon / eastern United States / southeastern United States / Central Appalachians / /

Technology

computer algorithm / Remote Sensing / remote sensing system / provided algorithms / land-cover change-detection algorithm / segmentation algorithm / http / computer-based algorithm / /

URL

www.coastrange.org/ftw_frame.htm / /

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