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Found 86 dataset(s) matching "spot imagery".
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developing effective habitat conservation and management strategies. The relationship between available habitat and waterfowl numbers obtained from aerial survey transects is not well studied. To...
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For BOREAS, the level-3s SPOT data, along with the other remotely sensed images, were collected in order to provide spatially extensive information over the primary study areas. This information...
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This inventory was originally created by Sato and others (2007) describing the landslides triggered by the M 7.6 Kashmir, Pakistan earthquake that occurred on 8 October 2005 at 03:50:40 UTC. Care...
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This study applied historical aerial imagery and satellite imagery to create digital surface models (DSMs) of the Helmand River Valley situated in southwestern Afghanistan. The historical imagery,...
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This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common...
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Provided here are raster geospatial data from five bays along the west coast of the Baja California Peninsula, Mexico (Bahia San Quintin, Laguna Ojo de Liebre, Estero Coyote, Laguna San Ignacio,...
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This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common...
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'SPOT Controlled Image Base 10 meter (CIB-10) is a collection of orthorectified panchromatic (grayscale) images. The data were acquired between 1986 and 1993 by the French space agency, Centre...
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This reference contains the imagery data used in the completion of the baseline vegetation inventory project for the NPS park unit. Orthophotos, raw imagery, and scanned aerial photos are common...
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This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped...
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This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped...
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Multiple sources of mine drainage including discharge from the abandoned Dinero mine tunnel and two gulches flow into a wetland, known herein as the Dinero wetland along the Lake Fork Creek...
