2001-2011年甘南草地植被覆盖度动态变化分析

doi:10.11686/cyxb20140401

摘要/Abstract

摘要： 植被覆盖度是衡量草地植被生长状况的重要指标,对评价分析植被恢复状况具有重要意义。利用2001-2011年每年5-10月的Terra/MODIS月植被指数数据,结合2006-2009年甘南草地调查资料建立了甘南州草地生长季的植被覆盖度遥感反演模型, 对比研究了不同草地植被覆盖度模型的精度,模拟分析了甘南州2001-2011年草地生长季期间不同等级的草地植被盖度时空分布特征及面积变化动态。研究结果表明, MODIS-EVI可以最大限度地减少环境因子的影响,在植被覆盖度高的地区使用更具优势,能很好地反映各类植被覆盖度的空间和时间差异性。MODIS增强型植被指数EVI的对数函数(y=33.658 ln x+112.65)可以较好地模拟甘南州草地植被盖度分布状况,总精度可达93.31%。近11年甘南州的草地植被盖度总体呈波动上升趋势,其中2001年、2003年和2008年草地植被覆盖明显偏低,2005年植被覆盖度最高,平均达78.43%。甘南州中西部及西南部地区的草地植被覆盖度较东部更好。甘南州近11年以来草地植被均以高和较高植被覆盖度为主,其余等级的草地植被覆盖度所占比例相对较小(6.98%)且稳定。总体上,甘南草地具有由高植被盖度向较高植被盖度转换的趋势。

Abstract: Vegetation coverage is an important indicator of grassland vegetation growth condition,and it has a crucial significance for evaluation and analysis of vegetation restoration. Using the Terra/MODIS product of MOD13A3 from May to October during 2001-2011,combined with ground observed data from 2006-2009,the inversion models of grassland vegetation coverage were established. Their precisions were compared and the characteristics of grassland vegetation coverage in the growing seasons of 2001-2011 were analyzed in Gannan Prefecture. The logarithmic function (y=33.658ln x+112.65) of MODIS-EVI (enhanced vegetation index) best simulated grassland vegetation coverage in Gannan pastoral areas with aprecision of 93.31%. MODIS-EVI had more advantages in high vegetation coverage regions,and accurately reflected the spatial and temporal differences of vegetation coverage while reducing the effect of environmental factors to the maximum extent. In the recent 11 years,grassland vegetation coverage in Gannan Prefecture has shown an increasing trend. The grassland vegetation coverage was highest (78.43%) in 2005,and the vegetation coverage of 2001,2003,and 2008 were lower than those in other years. The vegetation coverage in mid-west and southwest areas was better than that in the eastern area. Grassland vegetation was dominated by high,then higher vegetation coverage levels,while the proportion of other grassland vegetation coverage levels were small (6.98%) and stable. Overall,grassland in Gannan Prefecture for the 11 years was characterized by transformation from a high vegetation coverage into an even higher vegetation coverage.

中图分类号:

S812.29

马琳雅，崔霞，冯琦胜，梁天刚. 2001-2011年甘南草地植被覆盖度动态变化分析[J]. 草业学报, 2014, 23(4): 1-9.

MA Lin-ya,CUI Xia,FENG Qi-sheng,LIANG Tian-gang. Dynamic changes of grassland vegetation coverage from 2001 to 2011 in Gannan Prefecture[J]. Acta Prataculturae Sinica, 2014, 23(4): 1-9.

参考文献

Reference：
[1]de Roo A P J, Offermans R J E, Cremers D T. LISEM: A single-event physically based hydrological and erosion model for drainage basins Ⅱ: Sensitivity analysis,validation and application[J]. Hydrological Processes, 1996, 10(8): 1119-1126.
[2]Wang H, Li W L, Du G Z, et al. Research on the change of grassland vegetation coverage using 3S technology in Gannan[J]. Acta Prataculturae Sinica, 2012, 21(3): 26-37.
[3]Hua L M. Study the change of NDVI and climate factors and carrying capacity and their correlation in Maqu County,Gansu[J]. Acta Prataculturae Sinica, 2012, 21(4): 224-235. 
[4]Song C Q, You S C, Liu G H, et al. Spatio-temporal pattern and change pf Naqu grassland and the influence of human factors[J]. Acta Prataculturae Sinica, 2012, 21(3): 1-10. 
[5]Chen Y H, Li X B, Shi P J. Eatimating vegetation converage change using remote sensing data in Haidian district,BeiJing[J]. Journal of Plant Ecology, 2001, 25(5): 588-593. 
[6]Wen Q K, Zhang Z X, Liu B, et al. Research progress in grassland fractional coverage estimation methods[J]. Pratacultural Science, 2009, 26(12): 30-36. 
[7]Wang C X, Zhang D F, Ren W H. Comparison of vegetation coverage extracting based on MODIS data[J]. Journal of Atmospheric and Environmental Optics, 2010, 5(6): 457-462. 
[8]Zhao C X, Shi K, Ning P. Research progress of application of EOS-MODIS on environmental science[J]. Environmental Science Survey, 2008, 27(2): 15-20. 
[9]Liu C, Wen H T, Zhao L C, et al. The situation , problems and solutions of EOS-MODIS ground station construction in our country[J]. Remote Sensing Information, 2003, (4): 42-47. 
[10]Yang L Pg, Yang Y Y. Application progress and prospect of EOS-MODIS data in agriculture[J]. Shandong Agricultural Sciences, 2009, (1): 19-22. 
[11]Yan J W, Li C E, Yuan L, et al. Application Summary of EOS-MODIS data in the monitoring of grassland resources[J]. Pratacultural Science, 2008, 25(4): 1-4. 
[12]Liang T G, Cui X, Feng Q S, et al. Remotely sensed dynamics monitoring of grassland aboveground biomass and carrying capacity during 2001-2008 in Gannan pastoral area[J]. Acta Prataculturae Sinica, 2009, 18（6）: 12-22. 
[13]Sun H T, Su J. Gannan origin of quarantine problems and countermeasures[J]. Chinese Qinghai Journal of Animal and Veterinary Sciences, 2010, 40（6）: 47-48. 
[14]Zhu J G, Yuan C.Prospects and strategies of Gannan grassland industry development[J]. Pratacultural Science, 2002, 19（2）: 26-28. 
[15]Song S.Retrieval of vegetation coverage using Multi-sensor remote sensing data[D]. Yaan: Sichuan Agricultural University, 2010. 
[16]Xing Z R, Feng Y G, Yang G J, et al. Method of estimating of vegetation coverage based on remote sensing[J]. Remote Sensing Technology and Application, 2009, 24(6): 849-854. 
[17]Gu Z J, Zeng Z Y. Overview of researches on vegetation coverage in remote sensing[J]. Research of Soil and Water Conservation, 2005, 12(2): 18-21. 
[18]Musick H B. Assessment of Landsat Multispectral Scanner spectral indexes for monitoring arid rangeland[J]. IEEE. Transactions on Geoscience and Remote Sensing, 1984, 22(6): 512-519. 
[19]Foran B D. Detection of yearly cover change with Landsat MSS on pastoral landscapes in Central Australia[J]. Remote Sensing of Environment, 1987, 23: 333-350. 
[20]Graetz R D, Pech R P, Davis A W. The assessment and monitoring of sparsely vegetated rangelands using calibrated Landsat data[J]. International Journal of Remote Sensing, 1988, 9（7）: 1201-1222. 
[21]Zhang Y X, Zhang Y F, Li X B. The synthetically estimating vegetation fractional coverage of grassland using field data and ASTER remote sensing imagine[J]. Acta Ecologica Sinica, 2007, 27(3): 964-976. 
[22]Wang Z X, Liu C. From AVHRR-NDVI to MODIS-EVI: Advances in vegetation index research[J]. Acta Ecologica Sinica, 2003, 23(5): 979-987.

参考文献：
[1]de Roo A P J, Offermans R J E, Cremers D T. LISEM: A single-event physically based hydrological and erosion model for drainage basins Ⅱ: Sensitivity analysis, validation and application[J]. Hydrological Processes, 1996, 10(8): 1119-1126.
[2]王浩, 李文龙, 杜国祯, 等. 基于3S技术的甘南草地覆盖度动态变化研究[J]. 草业学报, 2012, 21(3):26-37. 
[3]花立民. 玛曲草原植被NDVI与气候和载畜量变化的关系分析[J]. 草业学报, 2012, 21(4): 224-235. 
[4]宋春桥, 游松财, 刘高焕, 等. 那曲地区草地植被时空格局与变化及其人文因素影响研究[J]. 草业学报, 2012, 21(3): 1-10. 
[5]陈云浩, 李晓兵, 史培军. 北京海淀区植被覆盖的遥感动态研究[J]. 植物生态学报, 2001, 25(5): 588-593. 
[6]温庆可, 张增祥, 刘斌, 等. 草地覆盖度测算方法研究进展[J]. 草业科学, 2009, 26(12): 30-36. 
[7]王春香, 张涤非, 任万辉. MODIS数据植被覆盖度提取算法比较[J]. 大气与环境光学学报, 2010, 5(6): 457-462. 
[8]赵彩霞, 施昆, 宁平. EOS-MODIS在环境科学中的应用与研究进展[J]. 环境科学导刊, 2008, 27(2): 15-20. 
[9]刘闯, 文洪涛, 赵立成, 等. 我国EOS-MODIS地面站建设的现状、问题与对策[J]. 遥感信息, 2003, (4): 42-47. 
[10]杨丽萍, 杨玉永. EOS-MODIS数据农业应用进展及前景[J]. 山东农业科学, 2009, (1): 19-22. 
[11]严建武, 李春娥, 袁雷, 等. EOS-MODIS数据在草地资源监测中的应用进展综述[J]. 草业科学, 2008, 25(4): 1-4. 
[12]梁天刚, 崔霞, 冯琦胜, 等. 2001-2008 年甘南牧区草地地上生物量与载畜量遥感动态监测[J]. 草业学报, 2009, 18（6）: 12-22. 
[13]孙海涛, 苏静. 甘南州产地检疫存在的问题及对策分析[J]. 青海畜牧兽医杂志, 2010, 40（6）: 47-48. 
[14]朱建国, 袁翀. 甘南州发展草产业的前景与对策[J]. 草业科学, 2002, 19（2）: 26-28. 
[15]宋莎. 基于多源遥感数据的植被覆盖度研究[D]. 雅安: 四川农业大学, 2010. 
[16]邢著荣, 冯幼贵, 杨贵军, 等. 基于遥感的植被覆盖度估算方法述评[J]. 遥感技术与应用, 2009, 24(6): 849-854. 
[17]顾祝军, 曾志远. 遥感植被盖度研究[J]. 水土保持研究, 2005, 12(2): 18-21. 
[18]Musick H B. Assessment of Landsat Multispectral Scanner spectral indexes for monitoring arid rangeland[J]. IEEE. Transactions on Geoscience and Remote Sensing, 1984, 22(6): 512-519. 
[19]Foran B D. Detection of yearly cover change with Landsat MSS on pastoral landscapes in Central Australia[J]. Remote Sensing of Environment, 1987, 23: 333-350. 
[20]Graetz R D, Pech R P, Davis A W. The assessment and monitoring of sparsely vegetated rangelands using calibrated Landsat data[J]. International Journal of Remote Sensing, 1988, 9（7）: 1201-1222. 
[21]张云霞, 张云飞, 李晓兵. 地面测量与ASTER影像综合计算植被盖度[J]. 生态学报, 2007, 27(3): 964-976. 
[22]王正兴, 刘闯. 植被指数研究进展: 从AVHRR-NDVI到MODIS-EVI[J]. 生态学报, 2003, 23(5): 979-987. 