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A dataset of 30-meter annual vegetation phenology indicators (1985-2015) in urban areas of the conterminous United States

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DataCite Commons2020-08-27 更新2024-07-27 收录
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https://figshare.com/articles/A_dataset_of_30-meter_annual_vegetation_phenology_indicators_1985-2015_in_urban_areas_of_the_conterminous_United_States/7685645/4
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Data description:<br>This product provides annual (1985-2015) 30-m vegetation phenology (i.e., start of season-SOS; end of season-EOS) in urban areas of the conterminous United States, including: <br>(1) Information about urban clusters *** uCluster_USA_gt500.zip (format: ESRI shapefile): bounding box of each urban cluster with the cluster ID and cityName. The ESRI file can be opened by many opensource softwares (e.g., QGIS)*** US_uCluster_UrbanRuralExtents.zip: spatial extent of urban clusters (‘US_uCluster_label.tif’) and urban and surrounding rural clusters (‘US_uCluster_label_withRural.tif’).<br>(2) Phenology dataset In each zip file, it includes three phenology datasets:<br>*** annual SOS from 1985-2015 for each urban cluster *** annual EOS from 1985-2015 for each urban cluster *** COR: correlation of fitted double logistic curve to the observed EVIS for each pixel. The COR should be divided by 10000, and it serves as an uncertainty layer to indicate the fitting performance of the double logistic model.<br>Any questions about this data can be corresponded to Prof. Yuyu Zhou (zhouyuyu@gmail.com)

数据说明:本数据集提供1985年至2015年的年度30米分辨率美国本土城市区域植被物候数据(即物候始期SOS(Start of Season)、物候终期EOS(End of Season)),具体包含以下内容:(1) 城市集群相关数据:包含两个压缩数据包:① uCluster_USA_gt500.zip(格式:ESRI形状文件(ESRI shapefile)):内含各城市集群的边界框、集群ID与城市名称。该ESRI格式文件可通过多款开源软件(如QGIS)打开;② US_uCluster_UrbanRuralExtents.zip:包含城市集群空间范围数据(文件名为US_uCluster_label.tif)以及城市与周边乡村集群的空间范围数据(文件名为US_uCluster_label_withRural.tif)。(2) 物候数据集:每个压缩包内均包含三类物候数据:① 各城市集群1985-2015年年度物候始期数据;② 各城市集群1985-2015年年度物候终期数据;③ COR:各像元拟合双逻辑斯蒂曲线(double logistic curve)与观测EVIS的相关系数。该数值需除以10000,作为表征双逻辑斯蒂模型拟合效果的不确定性图层。若对本数据集有任何疑问,可联系周育宇教授(邮箱:zhouyuyu@gmail.com)
提供机构:
figshare
创建时间:
2019-02-07
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