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Fusion of airborne laser scanning and hyperspectral data for predicting forest characteristics at different spatial scales

Kaja Kandare successfully defended her doctoral thesis, “Fusion of airborne laser scanning and hyperspectral data for predicting forest characteristics at different spatial scales”, on 25 August 2017. Continue reading

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  2. Forest resource mapping using 3D remote sensing: Combining national forest inventory data and digital aerial photogrammetry Leave a reply
  3. Biomass estimation models and methods for miombo woodlands of Malawi using field and remotely sensed data Leave a reply
  4. Forest planing seminar 2016 Leave a reply
  5. Can we discriminating between Native Norway Spruce and Invasive Sitka Spruce? Leave a reply
  6. Use of remote sensing for mapping of non-native conifer species Leave a reply
  7. Accuracy of forest stand estimates Leave a reply
  8. Developing methods for biomass and carbon assessment for miombo woodlands, pine plantations and agroforestry fields in Malawi 1 Reply
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