How does remote sensing work in forestry?
An example of an AI chatbot conversation about remote sensing applications in forestry.
Can you explain how remote sensing is used in forestry?
Sure! Remote sensing in forestry involves using satellite or aerial imagery to collect data about forest conditions.
What kind of data can be collected through remote sensing?
Data such as tree height, canopy cover, biomass, and even species identification can be gathered using remote sensing.
How does this technology help in forest management?
It helps in monitoring forest health, assessing damage from pests or diseases, and planning sustainable harvesting.
Are there any limitations to using remote sensing in forestry?
Yes, limitations include resolution constraints, cloud cover interference, and the need for ground-truthing to validate data.
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