科研团队 -河南省科学院空天信息研究所

定量遥感方向

罗善军

1、Time-space-angle scale effects and incorporation patterns in estimating rice LAI and leaf chlorophyll content by UAV multispectral remote sensing Luo SJ, Li Q, Du L, et al.

2、Spatiotemporal stability estimation of physicochemical parameters of rice based on dynamic process orientation and reﬁned abundance modiﬁcation Luo SJ, Li Q, Wu ZC

3、A dynamic correction method for the inﬂuence of SAR observation incidence angle based on the corn crop phenology information Wang YY, Luo SJ*, Xinxin Huang, et al.

4、Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method. Wang XY, He YB*, Luo SJ*, et al.

5、An automatic rice mapping method based on constrained feature matching exploiting Sentinel-1 data for arbitrary length time series Jiang XQ†, Luo SJ†, Gao S, et al.

6、Multispectral remote sensing for accurate acquisition of rice phenotypes: Impacts of radiometric calibration and unmanned aerial vehicle ﬂying altitudes Luo SJ, Jiang XQ, Yang KL, et al.

7、Multi-dimensional variables and feature parameter selection for aboveground biomass estimation of potato based on UAV multispectral imagery Luo SJ, Jiang XQ, He YB, et al.

8、Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage Luo SJ, He YB, Li Q, et al.

王燕燕

刘相臣

方志策

1、Long and short-term perspectives on space–time landslide modelling Wang T, Yin K, Wang Z, Fang Z*

2、Climate change has increased rainfall-induced landslide damages in central China Fang Z, Morales A B, Wang Y, Lombardo L, 2025.

3、Improved landslide prediction by considering continuous and discrete spatial dependency Fang Z, Wang J, Wang Y, Du B, Liu G, 2025

4、Landslide hazard spatiotemporal prediction based on data-driven models: Estimating where, when and how large landslide may be Fang Z, Wang Y, van Westen C, Lombardo L, 2024.

5、Space-time modeling of landslide size by combining static, dynamic, and unobserved spatiotemporal factors Fang Z, Wang Y, van Westen C, Lombardo L, 2024.

6、Space–Time Landslide Susceptibility Modeling Based on Data-Driven Methods Fang Z, Wang Y, van Westen C, Lombardo L, 2024.

7、Speech-recognition in landslide predictive modelling: A case for a next generation early warning system Fang Z, Tanyas H, Gorum T, Dahal A, Wang Y, Lombardo L, 2023.

8、Comparison of general kernel, multiple kernel, infinite ensemble and semi-supervised support vector machines for landslide susceptibility prediction Fang Z, Wang Y, Duan H, Niu R, Peng L, 2022.

9、Predicting flood susceptibility using LSTM neural networks Fang Z, Wang Y, Peng L, Hong H, 2021.

10、A comparative study of heterogeneous ensemble-learning techniques for landslide susceptibility mapping Fang Z, Wang Y, Peng L, Hong H, 2021.

11、Landslide susceptibility prediction based on positive unlabeled learning coupled with adaptive sampling Fang Z, Wang Y, Niu R, Peng L, 2021.

12、Landslide Susceptibility Mapping Using Rotation Forest Ensemble Technique with Different Decision Trees in the Three Gorges Reservoir Area, China Fang Z, Wang Y, Duan G, Peng L, 2021.

13、Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping Fang Z, Wang Y, Peng L, Hong H, 2020.

14、Flood susceptibility mapping by integrating frequency ratio and index of entropy with multilayer perceptron and classification and regression tree Wang Y, Fang Z, Hong H, Costache R, Tang X, 2021.

15、Flood susceptibility mapping using convolutional neural network frameworks Wang Y, Fang Z, Hong H, Peng L, 2020.

16、Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China Wang Y, Fang Z, Hong H, 2019.

17、基于深度学习的滑坡灾害易发性分析王毅, 方志策, 牛瑞卿，彭令

张航

吴仁哲

皇甫文超

张森

谷雨

智能信息处理方向

高凯伦

1、Asymmetric response of precipitation extremes in China to CO2 removal forcing Tang B, Hu WT, Duan AM, Liu YM, He B, Gao KL and Hu D（SCI, 第6作者）

2、Synoptic climate settings and moisture supply for the extreme heavy snowfall in northern China during 6–8 November 2021 Gao KL， Wang J， Chen DL， et al(SCI，第1作者)

3、Duan AM. Influence of Arctic Sea Ice and Interdecadal Pacific Oscillation on the Recent Increase of Winter Extreme Snowfall in Northeast China Gao KL，Tang YH, Chen DL，Wang J(SCI，第1作者)

4、Arctic autumn warming since 2002 dominated by changes in moisture modulated by multiple large-scale atmospheric circulations Gao KL， Duan AM， Chen DL， Wang J， Tang B

5、Reduced Risks of Temperature Extremes From 0.5°C less Global Warming in the Earth's Three Poles Tang B, Hu WT, Duan AM, Gao KL, Peng YZ.

6、Interdecadal summer warming of the Tibetan Plateau potentially regulated by a sea surface temperature anomaly in the Labrador Sea Gao KL, Duan AM, Chen DL.

7、Surface energy budget diagnosis reveals possible mechanism for the different warming rate among Earth’s three poles in recent decades Gao KL, Duan AM, Chen DL, Wu GX.

8、Atmospheric heat source/sink dataset over the Tibetan Plateau based on satellite and routine meteorological observations Duan AM, Liu SF, Zhao Y, Gao KL, Hu WT.

杜雷

万程程

刘心燕

于丽君

1、Potential for soil carbon sequestration under conservation agriculture in a warming climate Yu, L., Zhang, W., Liu, J., Sun, W. and Zhang, Q., 2024.

2、Global variations and drivers of nitrous oxide emissions from forests and grasslands. Yu, L., Zhang, Q., Tian, Y., Sun, W., Scheer, C., Li, T. and Zhang, W, 2022.

3、Methane uptake in global forest and grassland soils from 1981 to 2010. Yu, L., Huang, Y., Zhang, W., Li, T. and Sun, W., 2017

4、Recent stabilization of agricultural non-CO2 greenhouse gas emissions in China Yuanyi Gao; Zimeng Li; Songbai Hong; Yu Lijun; Shihua Li; Jing Wei; Jinfeng Chang; Yao Zhang; Wen Zhang; Wenping Yuan; Xuhui Wang

5、Degradation of wetlands on the Qinghai-Tibetan Plateau causing a loss in soil organic carbon in 1966–2016 Li, H., Li, T., Sun, W., Zhang, W., Zhang, Q., Yu, L., Qin, Z., Guo, B., Liu, J. and Zha, X., 2021

6、A comparative study of anthropogenic CH 4 emissions over China based on the ensembles of bottom-up inventories Lin, X., Zhang, W., Crippa, M., Peng, S., Han, P., Zeng, N., Yu, L. and Wang, G., 2021

7、Modeling the Impact of Atmospheric Warming on Staple Crop Growth in China in the 1960s and 2000s. Zhang, Q., Zhang, W., Yu, Y., Li, T. and Yu, L., 2020.

8、Seasonal CH4 and CO2 effluxes in a final covered landfill site in Beijing, China. Li, H., Meng, B., Yue, B., Gao, Q., Ma, Z., Zhang, W., Li, T. and Yu, L

9、Evaluation of CH4MOD wetland and Terrestrial Ecosystem Model (TEM) used to estimate global CH 4 emissions from natural wetlands Li, T., Lu, Y., Yu, L., Sun, W., Zhang, Q., Zhang, W., Wang, G., Qin, Z., Yu, L., Li, H. and Zhang, R., 2020.

10、Accuracy analysis in CH4MODwetland in the simulation of CH4 emissions from Chinese wetlands Zhang, Q., Ting-Ting, L.I., Zhang, Q., Guo-Cheng, W.A.N.G., Li-Jun, Y.U., Bin, G.U.O. and Peng-Fei, H.A.N., 2020.

11、Phosphorus alleviation of nitrogen‐suppressed methane sink in global grasslands Zhang, L., Yuan, F., Bai, J., Duan, H., Gu, X., Hou, L., Huang, Y., Yang, M., He, J.S., Zhang, Z. and Yu, L., 2020.

12、Climate drives global soil carbon sequestration and crop yield changes under conservation agriculture Sun, W., Canadell, J.G., Yu, L., Yu, L., Zhang, W., Smith, P., Fischer, T. and Huang, Y., 2020

13、Total lightning signatures of thunderstorms and lightning jumps in hailfall nowcasting in the Beijing area Tian, Y., Qie, X., Sun, Y., Wang, D., Yuan, S., Sun, Z., Lu, G., Yu, L., Sun, H., Li, L. and Du, C., 2019.

14、Performance of CH4MODwetland for the case study of different regions of natural Chinese wetland Li, T., Zhang, Q., Cheng, Z., Wang, G., Yu, L. and Zhang, W., 2017.

15、Importance of vegetation classes in modeling CH4 emissions from boreal and subarctic wetlands in Finland Li, T., Raivonen, M., Alekseychik, P., Aurela, M., Lohila, A., Zheng, X., Zhang, Q., Wang, G., Mammarella, I., Rinne, J. and Yu, L.

16、Prediction CH4 emissions from the wetlands in the Sanjiang Plain of Northeastern China in the 21st century Li, T., Zhang, Q., Zhang, W., Wang, G., Lu, Y., Yu, L. and Zhang, R., 2016.

17、造林后表层土壤有机碳变化及影响因素分析王艺杰, 于丽君, 张稳 and 孙文娟, 2022.