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Multispectral image
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#	Item
11	The Pennsylvania State University The Graduate School College of Earth and Mineral Sciences LOOKING BACK TO INFORM THE FUTURE: THE ROLE OF COGNITION IN FOREST DISTURBANCE CHARACTERIZATION FROM REMOTE SENSING IMAGERY Add to Reading List Source URL: www.geovista.psu.edu Language: English - Date: 2016-07-01 14:44:39 Cognition Cognitive science Science Psychology Cartography Perception Learning Multispectral image Remote sensing Image analysis Visual analytics Philosophy of perception
12	Microsoft Word - syllabus_intro_remotesensing_02september2014.docx Add to Reading List Source URL: geography.wisc.edu Language: English - Date: 2014-09-02 17:33:52 Unmanned spacecraft Remote sensing Imaging Geography Cartography Earth observation satellites Satellites Archaeology Multispectral image Satellite imagery Geographic information system
13	qxd:01 PM Add to Reading List Source URL: remotesensing.montana.edu Language: English - Date: 2015-02-27 15:20:49 Statistics Imaging Data Remote sensing Economy Spectroscopy Summary statistics Landsat program Decision tree learning Gini coefficient Multispectral image Decision tree
14	Light, Shadows and Surface Characteristics: The Multispectral Portable Light Dome L. Watteeuw1, H. Hameeuw 1,2, B. Vandermeulen1, A. Van der Perre1,2, V. Boschloos2, L. Delvaux2, M. Proesmans4, M. van Bos3, L. Van Gool4 Add to Reading List Source URL: portablelightdome.files.wordpress.com Language: English - Date: 2016-03-25 04:45:16 Electromagnetic radiation Radiation Spectroscopy Electromagnetic spectrum Ultraviolet radiation Light-emitting diode Signage Multispectral image Ultraviolet Pigment Infrared
15	Using Quickbird and Landsat imagery to analyze temporal changes in mountain resort development: Big Sky, Montana 1990–2005 Natalie Campos Add to Reading List Source URL: remotesensing.montana.edu Language: English - Date: 2015-02-27 15:20:34 Remote sensing Earth observation satellites Geography Unmanned spacecraft Biology Landsat program Imaging Biogeography Normalized Difference Vegetation Index Satellite imagery Geographic information system Multispectral image
16	DIGITAL LANDUSE CLASSIFICATION IN HIMALAYAN REGION FROM REMOTELY SENSED DATA K.P. Sharma P.K. Garg Civil Engineering Department University of Roorkee, RoorkeeINDIA) Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-30 01:12:26 Imaging Cartography Mineral exploration Multispectral image Remote sensing Spectroscopy Statistical classification
17	Applying Remote Sensing and Definiens eCognition Developer 8 to Estimate Tree, Shrub, and Intercanopy Vegetation Cover of Pinyon-Juniper Woodlands in the Great Basin. April Hulet1, Bruce Roundy1, Steven Petersen1, and St Add to Reading List Source URL: www.sagestep.org Language: English - Date: 2013-09-09 19:09:13 Remote sensing Imaging Spectroscopy Biology Vision Botany Ecology Optics Image segmentation Vegetation Multispectral image Hyperspectral imaging
18	SAFETY EFFICIENCY PERFORMANCE FOR NEAR EARTH FLIGHT s2 turnkey mapping system Add to Reading List Source URL: www.nearearth.aero Language: English - Date: 2015-06-09 14:36:21 Cartography Remote sensing Geography Physical geography Photogrammetry Lidar Digital elevation model Multispectral image Topographic map
19	Supervised machine learning of fused RADAR and optical data for land cover classification Guido Cervone Barry Haack Add to Reading List Source URL: cervone.psu.edu Language: English - Date: 2015-11-18 09:12:45 Machine learning Artificial intelligence Learning Cognition Imaging Remote sensing Statistical classification Multispectral image Weka Supervised learning Geographic information system Data fusion
20	scanned for KRIS USING A GIS AND VEGETATION COVER DERIVED FROM LANDSAT-TM IMAGE CLASSIFICATION TO ASSESS THE HEALTH OF THE KLAMATH RIVER HYDRO-BASIN IN NORTH AMERICA Add to Reading List Source URL: www.krisweb.com Language: English - Date: 2011-02-14 06:27:00 Biology Spectroscopy Habitat Natural environment Water Botany Ecology Imaging Multispectral image Spectral signature Riparian zone Geographic information system