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Estimation of Stand Type Parameters and Land Cover Using Landsat-7 ETM Image: A Case Study from Turkey

机译：利用Landsat-7 ETM图像估算林分类型参数和土地覆盖率：来自土耳其的案例研究

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Remote sensing has been considered a low-cost, large-area coverage forest information resource ideally suited to broad-scale forest inventory objectives. The objective of this study is to determine stand type parameters such as crown closure, development stage and stand types, and land cover obtained from Landsat 7 ETM image and forest cover type map (stand type map). The research also focuses on classifying and mapping the stand parameters with the spatial analysis functions of GIS. In the study, stand parameters determined by forest cover type map and remote sensing methods were compared and contrasted to evaluate the potential use of the remote sensing methods. The result showed that development stage were estimated with Landsat 7 ETM image using supervised classification with a 0.89 kappa statistic value and 92% overall accuracy assessments. Among the features, development stages were the most successfully classified stand parameters in classification process. According to the spatial accuracy assessment results, development stages also had the highest accuracy of 72.2%. As can be seen in the results, spatial accuracy is lower than classification accuracy. Stand type had the lowest accuracy of 32.8. In conclusion, it could be stated that development stages, crown closure and land cover could be determined at an acceptable level using Landsat 7 ETM image. However, Landsat 7 ETM image do not provide means to map and monitor minor vegetation communities and stand types at stand level due to low spatial resolution. High resolution satellite images could be used either alone or with field survey data.
机译：遥感被认为是一种低成本，大面积覆盖的森林信息资源，非常适合大规模森林清单目标。这项研究的目的是确定林分类型参数，例如树冠封闭，发育阶段和林分类型，以及从Landsat 7 ETM图像和森林覆盖类型图（林分类型图）获得的土地覆盖。该研究还着重于利用GIS的空间分析功能对林分参数进行分类和映射。在研究中，比较和对比了由森林覆盖类型图和遥感方法确定的林分参数，以评估遥感方法的潜在用途。结果表明，使用监督分类的Landsat 7 ETM图像估计了发育阶段，其统计值为0.89 kappa，整体准确性评估为92％。在这些功能中，开发阶段是分类过程中最成功的分类林分参数。根据空间准确性评估结果，开发阶段的最高准确性也达到72.2％。从结果中可以看出，空间精度低于分类精度。支架类型的最低精度为32.8。总之，可以说，使用Landsat 7 ETM图像可以在可接受的水平上确定开发阶段，封顶和土地覆被。但是，由于空间分辨率低，Landsat 7 ETM图像无法提供在海拔水平上绘制和监视次生植被群落和林分类型的方法。高分辨率卫星图像可以单独使用，也可以与现场调查数据一起使用。

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