| 重要著作
与成果 | 1. Qian, Y., Zhou, W., Nytch, C.J., Han, L., Li, Z., 2020. A new index to differentiate tree and grass based on high resolution image and object-based methods. Urban for Urban Gree 53, 126661. 2. Qian, Y., Li, Z., Zhou, W., Chen, Y., 2019. Quantifying spatial pattern of urban greenspace from a gradient perspective of built-up age. Physics and Chemistry of the Earth, Parts A/B/C 111, 78-85. 3. Qian, Y., Chen, Y., Lin, C., Wang, W., Zhou, W., 2019. Revealing patterns of greenspace in urban areas resulting from three urban growth types. Physics and Chemistry of the Earth, Parts A/B/C 110, 14-20. 4. Qian, Y., Zhou, W., Hu, X., Fu, F., 2018. The heterogeneity of air temperature in urban residential neighborhoods and its relationship with the surrounding greenspace. Remote Sens-Basel 10, 965. 5. Qian, Y., Zhou, W., Li, W., Han, L., 2015. Understanding the dynamic of greenspace in the urbanized area of Beijing based on high resolution satellite images. Urban for Urban Gree 14, 39-47. 6. Qian, Y., Zhou, W., Yan, J., Li, W., Han, L., 2015. Comparing machine learning classifiers for object-based land cover classification using very high resolution imagery. Remote Sens-Basel 7, 153-168. 7. Qian, Y., Zhou, W., Yu, W., Pickett, S.T.A., 2015. Quantifying spatiotemporal pattern of urban greenspace: new insights from high resolution data. Landscape Ecol 30, 1165-1173. 8. 钱雨果, 周伟奇, 李伟峰, 韩立建, 2015. 基于类型和要素的城市多等级景观分类方法研究. 生态学报. 35(15), 5207-5214. |
