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Nisha Bao , Shanjun Liu , Tianhong Yang & Yue Cao (2021): Characterization and prediction of soil organic matter content in reclaimed mine soil using visible and near-infrared diffuse spectroscopy, Arid Land Research and Management (SCI)
赵伟，包妮沙*，刘善军等.地表枯枝落叶层影响下的土壤混合光谱特征及解混方法研究[J].光谱学与光谱分析，2020.40(7):34-39 (SCI)
Cao, Y., Bao, N.*, Liu, S., Zhao, W., Li, S., 2020. Reducing moisture effects on soil organic carbon content prediction in visible and near-infrared spectra with an external parameter othogonalization algorithm. Canadian Journal of Soil Science, 1-10.(SCI)
Bao, N.; Li, W.; Gu, X.; Liu, Y. Biomass Estimation for Semiarid Vegetation and Mine Rehabilitation Using Worldview-3 and Sentinel-1 SAR Imagery. Remote Sens. 2019, 11, 2855.(JCR 1区，IF 4.118)
Bao, N., S. Liu, and Y. Zhou. Predicting particle-size distribution using thermal infrared spectroscopy from reclaimed mine land in the semi-arid grassland of North China. CATENA ,2019.183:104190.(JCR 1区，IF 3.851)
Bao, N., Wu, L., Ye, B., Yang, K., Zhou, W., 2017. Assessing soil organic matter of reclaimed soil from a large surface coal mine using a field spectroradiometer in laboratory. Geoderma 288, 47-55. (JCR 1区，IF 4.336 )
Bao, N.-s., Wu, L.-x., Liu, S.-j., Li, N., 2016. Scale parameter optimization through high-resolution imagery to support mine rehabilitated vegetation classification. Ecol. Eng. 97, 130-137. (JCR 2区，IF 3.406)
Bao, N., Lechner, A.M., Johansen, K., Ye, B., 2014. Object-based classification of semi-arid vegetation to support mine rehabilitation and monitoring. J. Appl. Remote Sens. 8(1), 083564-083564.
Bao, N., Ye, B., Liu, X., 2014. Object-based classification of Worldview data for rehabilitated vegetation from mining site. Sensor Letters 12(3-4), 587-591. （SCI）
Nisha Bao, Baoying Ye, Xiaocui Liu.Object-based classification of worldview data for rehabilitated vegetation from mining site. Sensor Letters.2014,12:3-5. （SCI）
Nisha Bao, Alex Lechner, Andrew Fletcher, Andrew Mellor, David Mulligan, Zhongke Bai. Comparison of relative radiometric normalization methods using PIFs for change detection studies in rural and urban landscapes. Journal of Applied Remote Sensing .Vol.6,2012.（SCI）
Nisha Bao, Alex Lechner, Andrew Fletcher et al. SPOTing long-term changes in vegetation over short-term variability. International Journal of Mining, Reclamation and Environment. 1-23,2012. （SCI）
Nisha Bao, Baoying Ye and Zhongke Bai. Rehabilitation of Vegetation Mapping of ATB Opencast Coal-Mine Based on GIS and RS. Sensor Letters. Vol. 10, 1–7, 2012.（SCI）
刘家兴,隋翔宇,包妮沙*,毛亚纯,赵占国,石玉君.Google Earth Engine平台支持下的铁矿区开采及植被变化遥感动态监测[J].矿山测量,2020,48(06):43-48.
刘艳慧,杨晓宇,包妮沙*,顾晓薇.基于Worldview-3与Sentinel-1 SAR数据的草原矿区复垦植被生物量反演方法研究[J/OL].地学前缘:1-10[2021-01-13].https://doi.org/10.13745/j.esf.sf.2020.10.10.
李帆,包妮沙*,何军浩.草原露天煤矿区32年土地利用/覆盖及碳储量遥感变化监测[J].测绘与空间地理信息,2019,42(01):83-87.
刘艳慧,蔡宗磊,包妮沙*,刘善军.基于无人机大样方草地植被覆盖度及生物量估算方法研究[J].生态环境学报,2018,27(11):2023-2032.
李诗朦,包妮沙*,刘善军,雷尚彬.草原露天煤矿区土壤粒径分布及热红外辐射特征研究[J].地理与地理信息科学,2018,34(02):27-33+1.
李诗朦,包妮沙*,刘善军,雷尚彬.土壤电导率和pH值光谱特征及反演模型——以呼伦贝尔草原干旱半干旱土壤为例[J].测绘科学,2018,43(08):14-22+44.
赵菲菲,包妮沙*,吴立新,孙瑞.国产HJ-1B卫星数据的地表温度及湿度反演方法——以呼伦贝尔草原伊敏露天煤矿区为例[J].国土资源遥感,2017,29(03):1-9.
蔡宗磊,包妮沙*,刘善军.国产高分一号数据估算草地植被覆盖度方法研究——以呼伦贝尔草原露天煤矿区为例[J].地理与地理信息科学,2017,33(02):32-38+44+2.
包妮沙,吴立新,叶宝莹,赵菲菲.国产高分遥感数据估算草地NPP[J].东北大学学报(自然科学版),2016,37(10):1450-1454.
李娜,包妮沙*,吴立新,刘善军,刘小翠.面向对象矿区复垦植被分类最优分割尺度研究[J].测绘科学,2016,41(04):66-71+76.
赵菲菲,包妮沙*,刘善军,刘小翠.国产高分数据在草原露天煤矿植被监测中的应用[J].测绘与空间地理信息,2015,38(08):108-110.
李娜,包妮沙*,李洪兴,崔伟,王思琢,关鹏.基于对象的沈抚同城化演变及其驱动力分析[J].资源与产业,2015,17(05):46-52.
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