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首页> 外文期刊>International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences >EXTRACTION METHODS AND EXPERIMENT ON ESSENTIAL FOREST VARIABLES FOR GEOSPATIALLY-ENABLED SDGs MONITORING
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EXTRACTION METHODS AND EXPERIMENT ON ESSENTIAL FOREST VARIABLES FOR GEOSPATIALLY-ENABLED SDGs MONITORING

机译：启用地理空间的SDGS监控基本森林变量的提取方法及实验

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Since the United Nations passed the 17 Sustainable Development Goals (SDGs) and 169 sub-goals in 2015, many researchers have tried their best to put them into practise. However, mass data and different understanding of SDGs indicators make this work much more difficult. In this article we reference the concept of essential variables which may have some contribution to established a standard system for SDGs monitoring. Here we take SDG15 as an example. Firstly, we deeply analyse the main contents of SDG15 and select some geospatial-related indicators involved with forest land. From those forest-related and geospatial-enabled indicators we concise 5 essential forest variables (EFV4SDG15) which could be classified into 3 different types: land cover distribution and transformation, aggregative pattern and intensity and spatial-temporal evolution process. Secondly, formalized expression of EFV4SDG15 and extraction of them from multiple data source are necessary, including data processing and mathematical expression of the variables. Finally, we take global region as research target to carry out preliminary experiments. In this part, we only select 2 EFV4SDG15s: the forest coverage rate and forest land transfer matrix to show detailed operation process and then present the results in forms of figure and table. The paper has preliminary attempts to the application of essential variables in SDGs monitoring and provides an example for other fields.
机译：自2015年联合国通过了17项可持续发展目标（SDGS）和169个子目标，许多研究人员尽力将它们付诸实践。但是，大众数据和对SDGS指标的不同理解使得这项工作更加困难。在本文中，我们参考了本质变量的概念，这可能对建立SDGS监控的标准系统具有一些贡献。在这里，我们以SDG15为例。首先，我们深入分析了SDG15的主要内容，并选择了一些与林地涉及的地理空间相关指标。从那些与森林相关和支持地理空间的指标中，我们简明扼要的5个必需森林变量（EFV4SDG15），可以分为3种不同类型：土地覆盖分布和转化，聚合模式和强度和空间演化过程。其次，需要正式的EFV4SDG15表达和从多个数据源提取它们，包括数据处理和变量的数学表达。最后，我们将全球区域作为研究目标来执行初步实验。在这一部分中，我们只选择2 efv4sdg15s：森林覆盖率和林地转移矩阵显示详细的操作过程，然后以图形和表格的结果呈现结果。本文初步尝试在SDGS监控中应用基本变量，并为其他字段提供示例。

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