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首页> 外文期刊>Norsk geografisk tidsskrift >Monitoring Norwegian farmland loss through periodically updated land cover map data
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Monitoring Norwegian farmland loss through periodically updated land cover map data

机译:通过定期更新的土地覆盖图数据监控挪威的农田损失

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Land use changes resulting in the loss of farmland have been the focus of growing public concern and have led to the development of preservation policies worldwide. There is a need to develop adequate tools to monitor such changes in order to inform and improve farmland management policies. The present study investigates to what extent the periodic updating of Norwegian land cover data (as part of AR5, the Norwegian land capability classification system and dataset) can satisfy the need to monitor farmland decrease. GIS analysis was performed for two municipalities. Changes during a c.10-year period were analysed and uncertainties in the results explored. The analysis reveals that farmland loss due to reversible processes is far more important than loss through irreversible processes such as development. Uncertainty related to the identified changes is found to be small enough to leave no doubt about the prevailing change processes in the study area, yet could be of great importance for the most minor change processes. Uncertainties in need of further consideration relate to ambiguous categories, such as regrowth processes. Further modelling of border uncertainty and classification uncertainty is needed to understand fully the importance of uncertainty.
机译:导致农田损失的土地利用变化一直是公众日益关注的焦点,并导致了全球保护政策的发展。有必要开发适当的工具来监测这种变化,以告知和改进农田管理政策。本研究调查了挪威土地覆盖数据(作为AR5的一部分,挪威土地能力分类系统和数据集)的定期更新在何种程度上可以满足监测农田减少的需求。对两个城市进行了GIS分析。分析了约10年期间的变化,并探讨了结果的不确定性。分析表明,可逆过程造成的农田损失远比不可逆过程(例如发展)造成的损失更为重要。发现与已确定的变更相关的不确定性很小,足以使人们对研究区域中的现行变更过程毫无疑问,但是对于大多数次要的变更过程而言可能具有重要意义。需要进一步考虑的不确定性与模棱两可的类别有关,例如再生过程。需要对边界不确定性和分类不确定性进行进一步建模,以充分了解不确定性的重要性。

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