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Agriculture
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2.4-meter resolution multispectral imagery is well suited for observing large fields;
small-plot, high-value crops; as well as individual tree crowns in orchard groves.
Crop and soil types, moisture content, stress and damage can all be detected using
high-resolution satellite imagery. Daily coverage enables the timely assessment of
crop growth and harvest stages, the effectiveness of irrigation techniques, and fertilizer,
pesticide, and herbicide treatments. Crop yields and failures can be more accurately
assessed and forecasted, as can storm, pest, and drought damage.
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2.4-meter multispectral imagery illustrating various uses of satellite imagery,
including stress analysis and acreage assessment.
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Assessment of Farming Practices
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Farmers worldwide make substantial annual investments in farm chemicals, yet continue
to lose crops due to pest infestations, plant diseases, and poor farming practices.
Using high spatial resolution imagery, inadequate irrigation and soil erosion can be
identified quickly, while herbicides, pesticides, fertilizer, and other agricultural
treatments can be more closely monitored and optimized.
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2.4-meter multispectral imagery is sharpened with 60-centimeter panchromatic imagery
to show the effect of stressed crops.
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Detecting individual crop rows is important for assessing growth stages and predicting yields.
60-centimeter spatial resolution imagery can distinguish individual rows for many types of crops.
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2.4-meter multispectral imagery is sharpened with 60-centimeter panchromatic imagery
to show the effect of stressed crops.
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SPOT and Landsat imagery are unable to distinguish between a barley field and an orchard.
Not only can 60-centimeter imagery be used to differentiate between the two, but individual
tree crowns of different ages can also be identified.
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2.4-meter multispectral, sharpened with 60-centimeter panchromatic imagery, will show
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