Sentence examples for manual forest from inspiring English sources

In the field of forestry, the method was demonstrated to be robust to the previously highlighted limitations (with errors in the range of manual forest measurements, that is 1 cm diameter error).

The strategy involves mass vaccination in areas reporting KFD activity (i.e., laboratory evidence of KFD virus [KFDV] in monkeys, humans, or ticks) and in villages within a 5-km radius of such areas (Directorate of Health and Family Welfare Services, Government of Karnataka, 2005 manual on Kyasanur Forest disease; unpub. data).

But, although much has been written about adaptation strategies in forestry (e.g. Lindner et al. 2010; Kolström et al. 2011; Keenan 2015), and a number of recent guidance manuals to assist forest managers have been developed (e.g. Lindner et al. 2008; Peterson et al. 2011; FAO 2013), there is still a major knowledge deficit among forest stakeholders.

For more details concerning the variables, methods and sampling design, readers are referred to the NFI sampling manual [54].We obtained forest change data over the period 2004 2012 of basal area loss/no-loss per hectare computed by Mascorro et al. [55] for 647 plots that were located across the study area.

Vedar also seem to have provided manual labor to clear forest lands, in exchange for an annual portion of the food crops harvested.

For more details concerning the variables, methods and sampling design, readers are referred to the NFI sampling manual [ 54].We obtained forest change data over the period 2004 2012 of basal area loss/no-loss per hectare computed by Mascorro et al. [ 55] for 647 plots that were located across the study area.

His special workers' co-operative, which he named La Fageda, after the forest, began by providing manual labour from its base at an old convent building shared with the fire brigade.

However, the random forests method cannot totally replace manual procedures, such as visual inspection and field verification.

In order to be realistic, a real map reporting the satellite classification (forest/non forest) is considered, from which the manual classification is artificially generated using assumed classification error rates.

Since the minimal set requires only 8 B-scans and 25 seconds to train the classifier, the random forest can be trained including time for manual delineation in just one hour and 20 minutes for the MSP.

It would also emphasize safer but more costly efforts, relying in part on manual cutting and thinning of the dense, overgrown forests that surround many Western mountain communities and lie at the heart of the fire risk.