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谢秋霞

博士研究生
电话:86-17600901682
Email:xieqx@radi.ac.cn

微波遥感技术及应用,土壤含水量遥感反演

2017.09-至今,中科院遥感与数字地球研究所,地图学与地理信息系统专业,博士

2014.09-2017.06,山东科技大学,测绘工程专业,硕士

2010.09-2014.06,山东科技大学,遥感科学技术与应用专业,学士

谢秋霞, 孙林, 韦晶,等. 基于遥感估算方法的干旱区植被覆盖度适应性评价[J]. 生态学杂志, 2016, 35(04):1117-1124.

谢秋霞, 张佳晖, 陆坤,等. 基于典型遥感影像融合方法的洪水信息精确提取研究与应用[J]. 灾害学,2017, 32(1):183-186.

Qiuxia Xie, Qingyan Meng *, Linlin Zhang , Chunmei Wang , Yunxiao Sun and Zhenhui Sun. A Soil Moisture Retrieval Method Based on Typical Polarization Decomposition Techniques for a Maize Field from Full-Polarization Radarsat-2 Data. Remote Sensing, 2017, 9(2), 168. (SCI)

Qingyan Meng, Qiuxia Xie et.al, A Fusion Approach of the improved Dubois and best canopy water retrieval models to retrieve soil moisture through whole maize growth stages from Radarsat-2 and Landsat-8 data , Environmental Earth Science, 2016, 75:1377.(SCI)

Qiuxia Xie, Qingyan Meng *, Linlin Zhang et al. Combining of the H/A/Alpha and Freeman–Durden Polarization Decomposition Methods for Soil Moisture Retrieval from Full-Polarization Radarsat-2 Data. Advances in Meteorology, vol.2018, Article ID 9436438, 17 pages, 2018. https://doi.org/10.1155/2018/9436438. (SCI)

Qingyan Meng, Linlin Zhang, Qiuxia Xie, Shun Yao, Xu Chen, and Ying Zhang, “Combined Use of GF-3 and Landsat-8 Satellite Data for Soil Moisture Retrieval over Agricultural Areas Using Artificial Neural Network,” Advances in Meteorology, vol. 2018, Article ID 9315132, 11 pages, 2018. https://doi.org/10.1155/2018/9315132. (SCI)

马建新, 卢小平, 孟庆岩,王春梅,谢秋霞等. 利用半经验模型的土壤水分反演方法[J]. 测绘科学, 2016, 41(02):97-102。