Using DMSP-OLS light frequency data to categorize urban environments associated with US climate observing stations
Using DMSP-OLS light frequency data to categorize urban environments associated with US climate observing stations
复制标题
DOI：
10.1080/014311698214127
复制
发表时间：
1998-11
影响因子：
3.4
通讯作者：
T. Owen
中科院分区：
文献类型：
--
作者：
T. Owen
本文提出了一种利用国防气象卫星计划业务线扫描系统（DMSP-OLS）传感器的光频数据来表征1221个美国历史气候网络（US HCN）站点周围城市环境的方法。DMSPOLS数据的每个网格单元被阈值划分为城市、郊区和农村三类。将每个美国HCN站15公里范围内的分类小区组输入决策逻辑，对台站进行分类。利用站点元数据和1990年人口普查局人口密度数据，将站点分类与现有的和衍生的分类进行了比较。
An approach is presented for characterizing the urban environment surrounding 1221 US Historical Climatology Network (US HCN) stations using light frequency data from the Defense Meteorological Satellite ProgramOperational Linescan System (DMSP-OLS) sensor. Each grid cell of the DMSPOLS data was thresholded into urban, suburban and rural categories. Categorized cell groups within 15 km of each US HCN station were input into a decision logic to categorize the station. The station categorization was compared with existing and derived categorizations using station metadata and 1990 Census Bureau population density data.