|
| 遥感大数据在安徽省城市体检中的应用研究 |
| Application of Remote Sensing Big Data in Urban Physical Examination in Anhui |
| |
| DOI： |
| 中文关键词: 遥感 大数据应用 城市体检 蓝绿空间 公园绿地 凤阳县 |
| 英文关键词: Remote sensing Big data application Urban physical examination Blue-green space Park green space Fengyang County |
| 基金项目:国家自然科学基金资助项目（41901129）；安徽省教育厅高校自然科学研究基金资助项目（KJ2018JD08） |
|
| 摘要点击次数: 312 |
| 全文下载次数: 71 |
| 中文摘要: |
| 针对以传统统计数据为基础的城市体检工作量大、更新周期慢、数据获取难的问题，提出将遥感大数据应用到绿色城市维度的城市体检指标计算中，对GF-2卫星全色波段光学影像采用多规则的面向对象分类法提取城市绿地等地物，来解决绿色城市维度具体指标的计算问题。结果表明，以凤阳县绿色城市维度典型指标为例计算后得出的蓝绿空间占比为24.64%，评价结果为差，人均公园绿地面积为12.90 m2/人，评价结果为中，其余20项指标中3项优、5项良、4项中、8项差，总体优良比例为36.36%，表现较差。该方法能实现体检过程的精细化操作，使得体检工作更加高效、结果更加准确。 |
| 英文摘要: |
| Aiming at the problems of heavy workload， long update period and difficult data acquisition in urban physical examination based on traditional statistical data， this paper proposed to apply remote sensing big data to the calculation of urban physical examination indicators in the dimension of green city. A multi-rule object-oriented classification method was used to extract urban green space and other ground objects from GF-2 satellite panchromatic band optical images to solve the calculation problem of specific indicators of green city dimension. The results showed that taking the typical indicators of green city dimension in Fengyang County as an example， the proportion of blue-green space was calculated as 24.64%， and the evaluation result was poor. The per capita park green area was 12.90 m2/person， and the evaluation result was medium. Among the remaining 20 indicators in this dimension， 3 were excellent， 5 were good， 4 were medium and 8 were poor. The excellent proportion of all indicators was 36.36%， and the overall performance was poor. This method could realize refined operation of the physical examination process， and making the physical examination work more efficient and the results more accurate. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
