Lots for greening: Identification of metropolitan vacant land and its potential use for cooling and agriculture in Phoenix, Arizona, USA
收藏DataONE2023-02-03 更新2024-06-08 收录
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https://search.dataone.org/view/https://pasta.lternet.edu/package/metadata/eml/knb-lter-cap/710/1
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This project provides the first systematic assessment of non-governmental vacant parcels for potential greening (VPPG) the Phoenix metropolitan area—land parcels that are or can be privately owned but which contain no buildings, are unpaved, have no apparent use, and are potential candidates for urban greening. To achieve the data, a new method for the identification of vacant lands was employed that combines remote sensing techniques and cadastral data and trains the computer to distinguish different forms of vacant land. The classification result proved to be an effective approach for open land identification and identified approximately 19500 ha of open land in the metro area. The model achieved an average accuracy of 90.67%. This dataset only includes VPPG and does not include other vacant land determined to be inappropriate for potential greening (developed/abandoned or impervious surface). (Overall accuracy for all classes was 87.20%).
本项目针对菲尼克斯都会区的潜在绿化用私有闲置地块(VPPG,Vacant Parcels for Potential Greening)开展了首次系统性评估。此类地块为私有或可被界定为私有,无地上建筑、未铺装、无明确用途,具备城市绿化改造潜力。为构建该数据集,研究采用了一种融合遥感技术与地籍数据的新型闲置地块识别方法,通过训练计算机模型区分不同类型的闲置土地。实验结果表明,该分类方法可有效实现闲置空地识别,在该都会区内共识别出约19500公顷的闲置空地,模型平均准确率达90.67%。本数据集仅包含符合绿化改造潜力的VPPG,不包含其他被判定为不适宜绿化的闲置土地(已开发/废弃地块或不透水面)。(所有类别的整体准确率为87.20%)
创建时间:
2023-02-03



