Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Sarah Yoga"'
Publikováno v:
Remote Sensing, Vol 9, Iss 8, p 808 (2017)
Lidar data are regularly used to characterize forest structures. In this study, we determine the effects of three lidar attributes (density, spacing, scanning angle) on the accuracy and the uncertainty of timber merchantable volume estimates of balsa
Externí odkaz:
https://doaj.org/article/91cf4b3ddd184d358b35fac36009d071
Autor:
Sarah Yoga, Franck Barrel Mavinga, Mireille Breuer-Ndoundou Hockemba, Thomas Breuer, Cisquet Kiebou Opepa
Publikováno v:
African Journal of Ecology. 59:399-411
Publikováno v:
Forests, Vol 8, Iss 7, p 253 (2017)
Forests; Volume 8; Issue 7; Pages: 253
Forests; Volume 8; Issue 7; Pages: 253
Recent increases in forest diseases have produced significant mortality in boreal forests. These disturbances influence merchantable volume predictions as they affect the distribution of live and dead trees. In this study, we assessed the use of lida
Publikováno v:
Forests, Vol 9, Iss 4, p 166 (2018)
Forests; Volume 9; Issue 4; Pages: 166
Forests; Volume 9; Issue 4; Pages: 166
Lidar-based models rely on an optimal relationship between the field and the lidar data for accurate predictions of forest attributes. This relationship may be altered by the variability in the stand growth conditions or by the temporal discrepancy b