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首页> 外文期刊>Journal of Environmental Management >Identification and classification of structural soil conservation measures based on very high resolution stereo satellite data
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Identification and classification of structural soil conservation measures based on very high resolution stereo satellite data

机译：基于超高分辨率立体卫星数据的结构性水土保持措施的识别和分类

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Land degradation affects large areas of land around the globe, with grave consequences for those living off the land. Major efforts are being made to implement soil and water conservation measures that counteract soil erosion and help secure vital ecosystem services. However, where and to what extent such measures have been implemented is often not well documented. Knowledge about this could help to identify areas where soil and water conservation measures are successfully supporting sustainable land management, as well as areas requiring urgent rehabilitation of conservation structures such as terraces and bunds. This study explores the potential of the latest satellite-based remote sensing technology for use in assessing and monitoring the extent of existing soil and water conservation structures. We used a set of very high resolution stereo Geoeye-1 satellite data, from which we derived a detailed digital surface model as well as a set of other spectral, terrain, texture, and filtered information layers. We developed and applied an object-based classification approach, working on two segmentation levels. On the coarser level, the aim was to delimit certain landscape zones. Information about these landscape zones is useful in distinguishing different types of soil and water conservation structures, as each zone contains certain specific types of structures. On the finer level, the goal was to extract and identify different types of linear soil and water conservation structures. The classification rules were based mainly on spectral, textural, shape, and topographic properties, and included object relationships. This approach enabled us to identify and separate from other classes the majority (78.5%) of terraces and bunds, as well as most hillside terraces (81.25%). Omission and commission errors are similar to those obtained by the few existing studies focusing on the same research objective but using different types of remotely sensed data. Based on our results, we estimate that the construction of the conservation structures in our study area in Eritrea required over 300,000 person-days of work, which underlines the huge efforts involved in soil and water conservation.
机译：土地退化影响全球大片土地，对那些生活在陆地上的人们造成严重后果。目前正在作出重大努力以实施水土保持措施，以抵消土壤侵蚀并帮助确保重要的生态系统服务。但是，在何处以及在多大程度上实施了此类措施，往往没有充分的文件证明。有关此方面的知识可以帮助确定水土保持措施已成功支持可持续土地管理的区域，以及需要紧急修复梯田和外滩等保护结构的区域。这项研究探索了最新的基于卫星的遥感技术在评估和监测现有水土保持结构范围方面的潜力。我们使用了一组非常高分辨率的立体声Geoeye-1卫星数据，从中我们得出了详细的数字表面模型以及一组其他光谱，地形，纹理和滤波后的信息层。我们开发并应用了基于对象的分类方法，在两个细分级别上进行工作。在较粗的层面上，目标是划定某些景观区域。有关这些景观带的信息对于区分不同类型的水土保持结构很有用，因为每个区域都包含某些特定类型的结构。在更好的水平上，目标是提取和识别不同类型的线性水土保持结构。分类规则主要基于光谱，纹理，形状和地形属性，并包括对象关系。这种方法使我们能够识别大部分（78.5％）的梯田和外滩以及大多数山坡梯田（81.25％）并将其与其他类别分开。遗漏和佣金错误类似于少数针对相同研究目标但使用不同类型遥感数据的现有研究所获得的错误。根据我们的结果，我们估计厄立特里亚研究区的保护结构建设需要超过300,000人日的工作量，这突出表明了水土保持方面的巨大努力。

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