• ARTICLES • Previous Articles
Pei Liu1,2, PeiJun Du3, RuiMei Han1,2, Chao Ma1,2, YouFeng Zou1,2
| Drzewiecki W, Mularz S, 2008. Simulation of water soil erosion effects on sediment delivery to dobczyce reservoir. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China, pp. 787-795.
Fensholt R, Sandholt I, Pround SR, et al., 2010. Assessment of MODIS sun-sensor geometry variations effect on observed NDVI using MSG SEVIRI geostationary data. International Journal of Remote Sensing, 31(23): 6163-6187. DOI: 10.1080/01431160903401387.
Fu BJ, Zhao WW, Chen LD, et al., 2005. Assessment of soil erosion at large watershed scale using RUSLE and GIS: A case study in the Loess Plateau of China. Land Degradation and Development, 16(1): 73-85. DOI: 10.1002/ldr.646.
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Hammad AA, Lundekvam H, Borresen T, 2004. Adaptation of RUSLE in the eastern part of the Mediterranean region. Environmental Management, 34(6): 829-841. DOI: 10.1007/s00267-003-0296-7.
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Lin QH, Wang XY, 2006. Soil Erosion Prediction Using RUSLE with GIS: A Case Study in Upper Chaobai River Basin of China. Geoscience and Remote Sensing Symposium. Denver: CO, pp. 1086-1089.
Liu B, Wang PF, She JF, et al., 2009. Soil and water loss research in south mountainous area of Changqing District based on GIS and RS. Remote Sensing Information, 6: 15-19.
Liu P, Du PJ, Pang YF, 2012. Analysis and simulation of land cover and thermal environment in mining area based on remote sensing data and CA_Markov model. Journal of China Coal Society, 37(11): 1847-1854.
Peterson LK, Bergen KM, Brown D, et al., 2009. Forested land-cover patterns and trends over changing forest management eras in the Siberian Baikal region. Forest Ecology and Management, 257(3): 911-922. DOI: 10.1016/j.foreco.2008.10.037.
Qi Q, Qi TM, Kou XJ, et al., 2009. Quantitative assessment of soil erosion in small watershed in Loss Plateau based on GIS. Research of Soil and Water Conservation, 16(3): 1-6. DOI: 10.3969/j.issn.1002-6819.2009.08.029.
Qin W, Zhu QK, Zhang Y, 2010. Advance in researches on slop length factor in universal soil loss equation. Science of Soil and Water Conservation, 8(2): 117-124.
Read JM, Lam NS, 2002. Spatial methods for characterizing land cover and detecting land-cover changes for the tropics. International Journal of Remote Sensing, 23(12): 2457-2474. DOI: 10.1080/01431160110106140.
Sang LL, Zhang C, Yang JY, et al., 2010. Simulation of land use spatial pattern of towns and villages based on CA_Markov model. Mathematical and Computer Modelling, 55(3-4): 938-943. DOI: 10.1016/j.mcm.2010.11.019.
Townsend PA, Helmers DP, Kingdon CC, et al., 2009. Changes in the extent of surface mining and reclamation in the Central Appalachians detected using a 1976-2006 Landsat time series. Remote Sensing of Environment, 113(1): 62-72. DOI: 10.1016/j.rse.2008.08.012.
Wang Y, Bing H, 2009. Applying SLEUTH for simulating urban expansion of Beijing. 1st IITA International Joint Conference on Artificial Intelligence, Wuhan, China, pp. 652-656.
Wu LX, Ma BD, Liu SJ, 2009. Analysis to vegetation coverage change in Shendong mining area with SPOT NDVI data. Journal of China Coal Society, 34(9): 1217-1223.
Wu TF, Lin CJ, Weng RC, 2004. Probability estimates for multi-classification by pairwise coupling. Journal of Machine Learining Research, 5: 975-1005.
Xie YW, Lin JL, 2010. RUSLE model based quantitative evaluation on the soil erosion of Wen County of Gansu Province, China. 18th International Conference on Geoinformatics, Beijing, China, pp. 1-6.
Yang GQ, Liu YL, Wu ZF, 2007. Analysis and simulation of land-use temporal and spatial pattern based on CA-Markov Model. Geomatics and Information Science of Wuhan University, 32(5): 414-419.
Yang SM, Zhang QW, Li WB, 2008. Automated estimation of vegetation fraction based on Landsat TM/ETM+ Imagery. International Conference on Computer Science and Software Engineering, Wuhan, China, pp. 891-894. DOI: 10.1109/CSSE.2008.1337.
Yuan LF, 2008. A soil erosion model based on cellular automata. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China, pp. 21-26.
Zhang QF, Yuan LF, Andreas M, 2008. GIS-based approach for change and prediction of soil erosion. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, China, pp. 859-865.
|||JiaLi Xie, ChangZhen Yan, ZhiXiang Lu, Sen Li. Remote-sensing data reveals the response of soil erosion intensity to land use change in Loess Plateau,China [J]. Sciences in Cold and Arid Regions, 2016, 8(4): 325-333.|
|||HaiJun Wang, XiangDong Kong, Bo Zhang. The simulation of LUCC based on Logistic-CA-Markov model in Qilian Mountain area, China [J]. Sciences in Cold and Arid Regions, 2016, 8(4): 350-358.|