科研项目

"十三五"重点研发计划项目“基于国产遥感卫星的典型要素提取技术”课题四：典型资源环境要素识别提取与定量遥感技术。

"十二五"国家重点863项目子课题“全球陆表特征参量产品生产系统及其产品处理”。

著作论文

[1] Wang Haoyu, Zhao Xiang*, Liang Shunlin, et al. Developing Long Time Series 1-km Land Cover Maps From 5-km AVHRR Data Using a Super-Resolution Method, IEEE TGARS, 2021,59(7):5479-5493.

[2] Zhao Jiacheng, Zhao Xiang*, Liang Shunlin, Zhou Tao, et al., Assessing the thermal contributions of urban land cover types, Landscape and Urban Planning,2020,204 (PDF).

[3] Wang Jing’Ai, Zhang Anyu, Zhao Xiang*, Development and application of the multidimensional integrated geography curricula from the perspective of regional remote sensing,Journal of Geography in Higher Education, 2020,44(3):350-369(PDF).

[4] Wang Haoyu, Zhao Xiang*, Zhang Xin, Wu Donghai, et al., Long Time Series Land Cover Classification in China from 1982 to 2015 Based on Bi-LSTM Deep Learning. Remote Sensing. 2019, 11, 1639.

[5] Wei Hong,  Zhao Xiang*, Liang Shunlin, Zhou Tao, et al., Effects of Warming Hiatuses on Vegetation Growth in the Northern Hemisphere. Remote Sensing. 2018, 10, 683.

[6] Tang Bijian, Zhao Xiang*, Zhao Wenqian. Local Effects of Forests on Temperatures across Europe. Remote Sensing. 2018, 10, 529.

[7] Tang Bijian, Wu Donghai, Zhao Xiang*, Zhou Tao, et al.,The Observed Impacts of Wind Farms on Local Vegetation Growth in Northern China. Remote Sensing. 2017, 9, 332.

[8] Wu Donghai, Zhao Xiang*, Liang Shunlin, Zhou Tao, et al., Time-lag Effects of Global Vegetation Responses to Climate Change, Global Change Biology, 2015.21(9), 3520–3531, doi: 10.1111/gcb.12945.

[9] Zhao Xiang*, Wei Hong, Liang Shunlin, Zhou Tao, et al. Responses of Natural Vegetation to Different Stages of Extreme Drought during 2009–2010 in Southwestern China. Remote Sensing. 2015, 7, 14039-14054.

[10] Wu Donghai, Wu Hao, Zhao Xiang*, et al., Evaluation of Spatiotemporal Variations of Global Fractional Vegetation Cover Based on GIMMS NDVI Data from 1982 to 2011，Remote Sensing. 2014,6:4217-4239.

[11] Zhao Xiang*, Liang Shunlin, Liu Suhong, et al., The Global Land Surface Satellite (GLASS) Remote Sensing Data Processing System and Products. Remote Sensing. 2013, 5, 2436-2450.

[12] Liang Shunlin, Zhao Xiang, Liu Suhong, et al., A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies. International Journal of Digital Earth. 2013,6:5-33.