Methods for estimating volume, biomass and tree species diversity using field inventory and airborne laser scanning in the tropical forests of Tanzania

singulair uk Ernest William Mauya successfully defended his doctoral thesis, “Methods for estimating volume, biomass and tree species diversity using field inventory and airborne laser scanning in the tropical forests of Tanzania”, on October 28, 2015.
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Assessing the accuracy of regional LiDAR-based biomass estimation using a simulation approach

To meet the increasing need for reliable and timely timber resources and carbon stock estimates at intermediate and local decision levels, a sampling approach using airborne laser scanning (ALS) as a strip sampling tool has been proposed as a supplement to the conventional field-based National Forest Inventory system. Continue reading

Estimating biomass in Hedmark County, Norway using national forest inventory field plots and airborne laserscanning

In a recent study published in Remote Sensing of Environment two sampling and estimation strategies for regional forest inventory were investigated in detail and results were presented for various geographical scales. Continue reading

Single tree detection in heterogeneous boreal forests using airborne laser scanning and area-based stem number estimates

A investigation of adaptive single tree detection methods using airborne laser scanning (ALS) data are published in International Journal of Remote Sensing (IJRS). Continue reading