Landscape descriptors in fifteen urban green spaces of a southern temperate city

The dataset contains landscape metrics for circular buffer areas of increasing radius (250, 500, and 1000 m) around each of 15 sampling sites. landscape metrics were calculated using Fragstats (McGarigal et al<i>.</i> 2012; http://www.umass.edu/landeco/research/fragstats/fragstats.html). Sampling sites were urban green spaces located in Córdoba city, Argentina. Land cover characteristics were assessed for the three circular buffer areas around each sampling site using Google Earth and Sentinel 2 images (December 14, 2016; spatial resolution 10 m). The land-use categories considered were: <i>Built surface, Open vegetation </i>(mostly grasses and low growth)<i>, Closed vegetation </i>(mostly trees) and <i>Water bodies</i>. We calculated landscape metrics using two levels of spatial heterogeneity hierarchy: landscape level metrics and class level metrics. These metrics provide information about landscape and patch class fragmentation, interspersion and aggregation (see details in read me file).

本数据集涵盖阿根廷科尔多瓦市15个采样点周边半径依次递增（250米、500米及1000米）的圆形缓冲区的景观指数（landscape metrics）。景观指数通过Fragstats软件（McGarigal等人，2012；http://www.umass.edu/landeco/research/fragstats/fragstats.html）计算获取。所有采样点均为阿根廷科尔多瓦市的城市绿地。针对每个采样点周边的三处圆形缓冲区，研究人员借助谷歌地球（Google Earth）与哨兵2号（Sentinel 2）卫星影像（成像时间为2016年12月14日，空间分辨率10米）开展了土地覆盖特征评估。本次研究纳入考量的土地利用类别包括：建成地表（Built surface）、开放植被（Open vegetation，以草本及低矮植被为主）、封闭植被（Closed vegetation，以乔木为主）以及水体（Water bodies）。本研究基于两类空间异质性层级计算景观指数：景观级指数与类级指数。此类指数可用于表征景观及斑块类别的破碎化程度、空间散布与聚集特性，详细说明请参见自述文件read me。