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Applied Analysis Inc.
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Crop Detection

Can you identify one crop from another in mixed fields?
This is a scene of Texas farmland. There are approximately 1,400 active fields in this scene, but our client was only interested in finding one specific crop. In this test image, there are only three fields of interest. Can you distinguish them?

IMAGINE Subpixel Classifier did!

A seed producer was looking for a method to more accurately assess acreage of a specific crop under cultivation. Their interest is in monitoring the cultivation of this crop in different regions throughout the world.

Includes material © Space Imaging L.P.

IMAGINE Subpixel Classifier was used to exploit the time-cost advantages of satellite imagery to identify crop locations in mixed environments, in many countries, using a pair of comparison signatures.

Project Challenges
This crop is often planted in remote areas interspersed over large tracts
· On-the-ground survey over large areas is nearly impossible
· High-resolution airborne imagery which might be able to discriminate the crop is prohibitively expensive
· The signature had to be able to process scenes in many countries including Brazil and India where the crop is grown.

IMAGINE Subpixel Classifier was used to accurately detect the three fields in this scene of Texas farmland.

Includes material © Space Imaging L.P.

IMAGINE Subpixel Classifier’s unique Environmental Correction feature allows portability of signatures from one scene to another. The signatures used to detect the crop in this scene have been successfully applied to fields in Kansas, Mexico and Brazil.

Technical Notes
Discriminating this crop from other crops is very difficult. An approach was developed that employed two signatures (leaf-oriented and stem-oriented) and multi-date imagery to detect only these fields. In this instance, the three fields were detected—no other fields were mistakenly identified. Even had there been some false alarms, it was determined that the IMAGINE Subpixel Classifier was a valuable tool for use in surveying crop detection on a global scale.


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External Links
· Leica-Geosystems
· Space Imaging
· DigitalGlobe
· SPOT Image
· USGS EarthExplorer
· USGS Landsat 7
· GeoCommunity
· Geography Network
· Flight Landata

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