Collins B. Kukunda received his PhD in Forest Sciences and Forest Ecology from the University of Goettingen, Germany, in 2020 and his MSc in Geoinformation Science and Earth Observation for Environment Modelling and Management at Lund University in Sweden and at the University of Twente in the Netherlands. His research interests include an inventory of forests assisted by remote sensing, and he is currently researching different remote sensing applications to forestry, including (1) manipulation and processing of large-area remote sensing data sets to characterize, map, and monitor changes of forest structural heterogeneity, forest height, and forest area. (2) Tree species discrimination using airborne LiDAR, multi-, and hyper-spectral data sets. (3) Integration of various remotely sensed and field data sets at varying scales of observation into forest inventories, and (4) quantification of forest ecosystem dynamics, natural and anthropogenic forest disturbances from field and remotely sensed data.
Collins B. Kukunda received his PhD in Forest Sciences and Forest Ecology from the University of Goettingen, Germany, in 2020 and his MSc in Geoinformation Science and Earth Observation for Environment Modelling and Management at Lund University in Sweden and at the University of Twente in the Netherlands. His research interests include an inventory of forests assisted by remote sensing, and he is currently researching different remote sensing applications to forestry, including (1) manipulation and processing of large-area remote sensing data sets to characterize, map, and monitor changes of forest structural heterogeneity, forest height, and forest area. (2) Tree species discrimination using airborne LiDAR, multi-, and hyper-spectral data sets. (3) Integration of various remotely sensed and field data sets at varying scales of observation into forest inventories, and (4) quantification of forest ecosystem dynamics, natural and anthropogenic forest disturbances from field and remotely sensed data.