WANG Lixia,ZHANG Jiawei,MENG Nina,et al.Simulation and Prediction of Temporal and Spatial Changes of NDVI in Weihe River Basin Based on CA-Markov[J].Research of Soil and Water Conservation,2020,27(04):206-212.
基于CA-Markov的渭河流域NDVI时空变化模拟及预测
- Title:
- Simulation and Prediction of Temporal and Spatial Changes of NDVI in Weihe River Basin Based on CA-Markov
- 文章编号:
- 1005-3409(2020)04-0206-07
- 关键词:
- 归一化植被指数; CA-Markov模型; 渭河流域
- 分类号:
- Q948.1
- 文献标志码:
- A
- 摘要:
- 为综合分析流域植被覆盖的时空变化特征,进而为生态环境保护提供科学参考,以渭河流域作为研究区域,首先基于MODIS NDVI中国月合成数据计算研究区年际NDVI值,并进行等级划分; 而后利用CA-Markov模型,以NDVI等级作为元胞类型,计算了不同时期各等级的转移矩阵,由此模拟了2015年NDVI的空间分布; 对比模拟NDVI结果和原始影像数据,评价模拟精度,并预测了2020年和2025年NDVI的空间分布状况。结果表明:(1)利用CA-Markov模型模拟渭河流域NDVI的空间变化,得到2015年模拟结果的Kappa系数为0.785 0,叠置分析的准确度为73.4%,符合精度要求,可以用于NDVI空间分布的预测。(2)渭河流域植被覆盖存在明显的空间差异性,低度植被覆盖区、较低植被覆盖区主要分布于陇中和陕北黄土高原地区; 中度植被覆盖区主要分布在泾河和北洛河河谷地区,较高植被覆盖区主要分布在关中平原、子午岭等地,高度植被覆盖区主要分布在秦岭、六盘山等山区。(3)2015—2025年,预测流域植被覆盖状况将进一步改善。其中,低度植被覆盖区、较低植被覆盖区和中度植被覆盖区面积将有所减少,空间上整体向北迁移; 较高植被覆盖区和高度植被覆盖区面积进一步增加,空间上向北扩张。
- Abstract:
- Dynamic monitoring of vegetation plays an important role in indicating changes in climate and ecological environment. The Weihe River Basin is used as the research area. Firstly, the interannual NDVI value of the study area is calculated based on the MODIS NDVI China monthly synthesis data, and the grade is divided. Then based on the CA-Markov model, the NDVI grade is used as the cell type to calculate the transfer matrix of grades in different periods, in order to simulate the spatial distribution of NDVI in 2015; the simulated NDVI results with raw image data were compared to evaluate simulation accuracy and predict the spatial distribution of NDVI in 2020 and 2025. The results showed that:(1)the CA-Markov model was used to simulate the spatial variation of NDVI in the Weihe River Basin, the Kappa coefficient of the simulated results in 2015 was 0.785 0, the accuracy of the overlay analysis was 73.4%, and meets the accuracy requirements, the CA-Markov model can be used for the prediction of NDVI spatial distribution;(2)there are obvious spatial differences in vegetation cover in the Weihe River Basin; low vegetation cover areas and relatively lower vegetation cover areas mainly distributed in northern Shaanxi Province and the central of Gansu Province in the Loess Plateau, the medium vegetation cover areas mainly distributed in the Weihe River and Beiluohe River; in the valley area, the higher vegetation coverage areas mainly distributed in the Guanzhong Plain and Ziwuling Mountains, and the high vegetation coverage areas mainly distributed in the Qinling and Liupan Mountains;(3)during the period 2015—2025, the predicted vegetation cover in the basin will be further improved; the low vegetation coverage area, lower vegetation coverage area and medium vegetation coverage area will reduce, and the whole space will migrate northward; the area of higher vegetation coverage area and high vegetation coverage area will further increase, and the space will expand northward.
参考文献/References:
[1] Richard Y, Poccard I. A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa[J]. International Journal of Remote Sensing, 1998,19(15):2907-2920.
[2] Huang S, ming B, Huang Q, et al. A case study on a combination NDVI forecasting model based on the entropy weight method[J]. Water Resources Management, 2017,31(11):3667-3681.
[3] Xin Z B, Xu J X, Zheng W. Spatiotemporal variations of vegetation cover on the Chinese Loess Plateau(1981—2006):Impacts of climate changes and human activities[J]. Science in China Series D: Earth Sciences, 2008,51(1):67-78.
[4] Anne Schucknecht, Jörg Matschullat, Stefan Erasmi. Spatial and temporal variability of vegetation status in Paraíba, Northeastern Brazil[C]. Ieee International Geoscience and Remote Sensing Symposium, 2012.
[5] Testa S, Soudani K, Boschetti L, et al. MODIS-derived EVI, NDVI and WDRVI time series to estimate phenological metrics in French deciduous forests[J]. International Journal of Applied Earth Observation & Geoinformation, 2018,64(1):132-144.
[6] 郭广猛,谢高地,甄霖.泾河上游固原地区的NDVI变化与降水的相关性研究[J].资源科学,2007,29(2):178-182.
[7] 马娜,胡云锋,庄大方,等.基于遥感和像元二分模型的内蒙古正蓝旗植被覆盖度格局和动态变化[J].地理科学,2012,32(2):251-256.
[8] 陈京华,贾文雄,赵珍.1982—2006年祁连山植被覆盖的时空变化特征研究[J].地球科学进展,2015,30(7):834-845.
[9] 王光镇,王静璞,邹学勇.基于像元三分模型的锡林郭勒草原光合植被和非光合植被覆盖度估算[J].生态学报,2017,37(17):5722-5731.
[10] Hadi Memarian, Siva Kumar Balasundram, Jamal Bin Talib, et al. Validation of CA-Markov for simulation of land use and cover change in the Langat Basin, Malaysia[J]. Journal of Geographic Information System, 2012,4(6):542-554.
[11] Shikhar Deep, Akansha Saklani. Urban sprawl modeling using cellular automata[J]. Egyptian Journal of Remote Sensing and Space Sciences, 2014,17(2):179-187.
[12] Mondal M S, Sharma N, Garg P K, et al. Statistical independence test and validation of CA Markov land use land cover(LULC)prediction results[J]. Egyptian Journal of Remote Sensing and Space Sciences, 2016,19(2):259-272.
[13] 杨国清,刘耀林,吴志峰.基于CA-Markov模型的土地利用格局变化研究[J].武汉大学学报:信息科学版,2007,32(5):414-418.
[14] 赵冠伟,陈颖彪,陈健飞.CA-Markov模型的空间尺度敏感性研究[J].地理科学,2011,31(8):897-902.
[15] 赵建军,张洪岩,乔志和.基于CA-Markov模型的向海湿地土地覆被变化动态模拟研究[J].自然资源学报,2009,24(12):2178-2186.
[16] 赵安周,朱秀芳,刘宪锋,等.1965—2013年渭河流域降水时空变化分析[J].自然资源学报,2015,30(11):1896-1909.
[17] 王正兴,刘闯, Alfredo H.植被指数研究进展:从AVHRR-NDVI到MODIS-EVI[J].生态学报,2003,23(5):979-987.
[18] 郑青华,罗格平,朱磊,等.基于CA_Markov模型的伊犁河三角洲景观格局预测[J].应用生态学报,2010,21(4):873-882.
[19] Karimi H, Jafarnezhad J, Khaledi J, et al. Monitoring and prediction of land use/land cover changes using CA-Markov model:a case study of Ravansar County in Iran[J]. Arabian Journal of Geosciences, 2018,11(19):1-9.
[20] 胡曾曾,赵志龙,张贵祥.非首都功能疏解背景下北京市人口空间分布形态模拟[J].地球信息科学学报,2018,20(2):71-82.
[21] K. Culik I I, Hurd L P, Yu S. Computation theoretic aspects of cellular automata[J]. Physica D,1990,45(1):357-378.
[22] Chuang C W, Lin C Y, Chien C H, et al. Application of Markov-chain model for vegetation restoration assessment at landslide areas caused by a catastrophic earthquake in Central Taiwan[J]. Ecological Modelling, 2011,222(3):835-845.
[23] Durmusoglu Z O, Tanriover A A. Modelling land use/cover change in Lake Mogan and surroundings using CA-Markov Chain Analysis[J]. Journal of Environmental Biology,2017,38(5):981-989.
[24] 侯西勇,常斌,于信芳.基于CA-Markov的河西走廊土地利用变化研究[J].农业工程学报,2004,20(5):286-291.
[25] Foody G M. What is the difference between two maps: A remote senser's view[J]. Journal of Geographical Systems, 2006,8(2):119-130.
[26] 布仁仓,常禹,胡远满,等.基于Kappa系数的景观变化测度:以辽宁省中部城市群为例[J].生态学报,2003,25(4):778-784.
[27] 摆万奇,张永民,阎建忠,等.大渡河上游地区土地利用动态模拟分析[J].地理研究,2005,24(2):206-212.
[28] 裴志方.川西高原植被覆盖度景观格局动态变化研究[D].成都:成都理工大学,2018.
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备注/Memo
收稿日期:2019-08-08 修回日期:2019-10-22
资助项目:国家自然科学基金(41471452); 中央高校基本科研业务资助项目(300102269201,300102269205,300102299206); 高等学校学科创新引智计划项目(B08039)
第一作者:王丽霞(1979—),女,山西大同人,博士,副教授,主要从事环境遥感与GIS研究。E-mail:zylxwang@chd.edu.cn