IKONOS Imagery

Data Access

Download via Restricted Access
Download four openly available IKONOS scenes of western Sichuan

Overview

The IKONOS-2 satellite is a fine resolution craft operated by GeoEye, (formerly Space Imaging). IKONOS was launched on September 24, 1999, and provides imagery beginning January 1, 2000. IKONOS is used to obtain both urban and rural mapping of natural resources and of natural disasters, tax mapping, agriculture and forestry analysis, mining, engineering, construction, and change detection. IKONOS provides relevant data for nearly all aspects of environmental study. GLCF provides access to a restricted set of IKONOS imagery acquired through the NASA Science Data Purchase. Please note that these images are property of GeoEye and Digital Globe. GLCF also distributes four IKONOS scenes made available by GeoEye to help with the 2008 earthquake in the western Sichuan area of China.

Sensor

Satellite	Sensor	Band	Spectral Range	Scene Size	Pixel Res
IKONOS-2	Multi-spectral	1 = Blue	455 - 520 nm	11 x 11 km	4 meter
		2 = Green	510 - 600 nm
		3 = Red	630 - 700 nm
		4 = NIR	760 - 850 nm
	Panchromatic	Pan	450 - 900 nm		1 meter

How to Cite This Data Set

Citation Format: Author (Publication Date), Collection Name, Product Name, Processing Level, Publisher, Publisher Location, Product Coverage Date.

Citation Parameters Example:

Author: Space Imaging
Publication Date: (2000)
Collection Name: IKONOS scene
Product Name: po-37836
Processing Level: {specify from metadata}
Publisher: GeoEye
Publisher Location: Dulles, Virginia
Product Coverage Date: {specify from metadata}

Full Example Citation: Space Imaging (2000), IKONOS scene po-37836, Level Standard Geometrically Corrected, GeoEye, Dulles, Virginia, 11/30/2000.

Intellectual Property Rights

GeoEye owns all IKONOS imagery. Access is provided here for education or research purposes only. Users must credit GeoEye when using this imagery.

Source

As a courtesy, please credit the Global Land Cover Facility (GLCF) as the source for this data set in some manner. Our suggestion: Source for this data set was the Global Land Cover Facility, www.landcover.org.