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Forestry
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Forest Fire Damage Assessment
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Urban encroachment into natural areas, in conjunction with forest and rangeland fire suppression
policies, have increased the frequency and intensity of large-area fires in many portions
of the world. Similar to flood events, high spatial resolution imagery can be used before,
during, and after a fire to measure fuel potential, access, progress, extent, as well as
damage and financial loss.
For forest fire damage assessment, 60-centimeter panchromatic imagery can capture the fine
detail in individual tree crowns, while 2.4-meter multispectral imagery can be used to evaluate
the health of the surviving trees.
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2.4-meter multispectral imagery will clearly depict the
aftermath of a forest fire. |
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Illegal logging is a major problem in many parts of the world, especially in endangered
tropical rain forests. As the forests disappear, the value of individual trees increases.
Monitoring both legal and illegal harvesting is logistically difficult and expensive from
the ground.
2.4-meter multispectral imagery can be an important tool in routine monitoring and regulatory
compliance enforcement. 60-centimeter imagery will provide sufficient spatial resolution
to distinguish individual trees and roads. Frequent revisit times and accurate geolocation
capabilities of DigitalGlobe satellites will enable more accurate tracking of forest losses
due to illegal harvesting.
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2.4-meter multispectral imagery, sharpened with 60-centimeter panchromatic,
will provide accurate monitoring of legal and illegal harvesting of trees.
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High spatial resolution multispectral data can identify not only individual tree crowns,
but often the type of tree, biomass, condition, and age class. 2.4-meter multispectral
imagery can be used to inventory current stands, monitor legal and illegal harvests,
and assess reforestation progress. Environmental impacts, such as stream sedimentation
associated with road construction, clear-cut harvesting, slash-and-burn activities,
and other processing activities can be clearly detected via satellite.
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2.4-meter multispectral imagery, sharpened with 60-centimeter panchromatic, will show
features considered important in site selection.
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