0000000000684372

AUTHOR

Göran Ståhl

showing 2 related works from this author

Potential of using data assimilation to support forest planning

2017

Uncertainty in forest information typically results in economic and ecological losses as a consequence of suboptimal management decisions. Several techniques have been proposed to handle such uncertainties. However, these techniques are often complex and costly. Data assimilation (DA) has recently been advocated as a tool that may reduce the uncertainty, thereby improving the quality of forest planning results. It offers an opportunity to make use of all new sources of information in a systematic way and thus provides more accurate and up-to-date information to forest planning. In this study, we refer to literature on handling uncertainties in forest planning, as well as related literature…

0106 biological sciencesForest planningGlobal and Planetary Change010504 meteorology & atmospheric sciencesEcologyOperations researchProcess (engineering)Computer sciencemedia_common.quotation_subjectForestry01 natural sciencesBayesian statisticsData assimilationStochastic optimizationQuality (business)010606 plant biology & botany0105 earth and related environmental sciencesmedia_commonCanadian Journal of Forest Research
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Potential of using data assimilation to support forest planning

2017

Uncertainty in forest information typically results in economic and ecological losses as a consequence of suboptimal management decisions. Several techniques have been proposed to handle such uncertainties. However, these techniques are often complex and costly. Data assimilation (DA) has recently been advocated as a tool that may reduce the uncertainty, thereby improving the quality of forest planning results. It offers an opportunity to make use of all new sources of information in a systematic way and thus provides more accurate and up-to-date information to forest planning. In this study, we refer to literature on handling uncertainties in forest planning, as well as related literature …

optimointibayesilainen menetelmäsuboptimal lossmetsäsuunnittelukaukokartoitusepävarmuus
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