Please wait a minute...
 
国土资源遥感  2012, Vol. 24 Issue (3): 71-77    DOI: 10.6046/gtzyyg.2012.03.14
  技术方法 本期目录 | 过刊浏览 | 高级检索 |
基于TM数据的雅鲁藏布江源区草地植被盖度估测
孙明1,2, 杨洋3, 沈渭寿2, 苏羡4
1. 广西壮族自治区气象减灾研究所/国家气象卫星中心遥感应用试验基地, 南宁 530022;
2. 环保部南京环境科学研究所, 南京 210042;
3. 南京师范大学地理科学学院, 南京 210046;
4. 广西北海市气象局, 北海 536000
Estimating Vegetation Coverage in the Source Region of Yarlung Zangbo River Based on TM Data
SUN Ming1,2, YANG Yang3, SHEN Wei-shou2, SU Xian4
1. Institute of Meteorological Disaster Mitigation of Guangxi/Remote Sensing Applying and Experiment Base of National Meteorological Satellite Center, Nanning 530022, China;
2. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, Nanjing 210042, China;
3. School of Geographical Science, Nanjing Normal University, Nanjing 210046, China;
4. Beihai Meteorological Bureau in Guangxi, Beihai 536000, China
全文: PDF(1090 KB)   HTML  
输出: BibTeX | EndNote (RIS)      
摘要 为了查明雅鲁藏布江源区的草地植被盖度,采用Landsat5 TM数据,以其派生数据NDVI,RVI,VI3,PVI,DVI,MSAVI,SAVI,TM4/TM5为主要分析因子,结合野外植被样地调查数据,选取相关性最高的因子与植被盖度实测值建立回归模型,然后利用该模型反演源区的植被盖度。研究结果表明: 1和其他几种遥感评价指标相比,TM4/TM5的比值与草地植被盖度的相关性最高,与草地植被盖度实测值的变化趋势一致,在光谱特征上增强了不同退化程度草地植被的光谱反射值差异,最适宜用于草地植被盖度建模; 2雅鲁藏布江源区植被盖度的10个分级中,植被盖度为10%~20%的分布地区最多,面积达到4 322.15 km2,占全部草地面积的49.27%; 其次是植被盖度为0~10%和20%~30%的地区,面积分别达到2 238.53 km2和1 397.87 km2,分别占全部草地面积的25.52%和15.94%; 植被盖度高于50%的草地面积为195.96 km2,仅占源区草地总面积的2.23%; 3植被盖度大于50%的高覆盖度植被区主要分布于4 426~4 800 m高程范围内,面积达到186.25 km2,占整个源区高覆盖度草地面积的95.04%,这与源区的水分分布条件相关。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
王轶
周迅
周伟
李飞
关键词 WebGIS离散时序空间数据动态可视化OpenGL    
Abstract:In order to find out the grassland coverage in the source region of the Yarlung Zangbo River, the authors selected the Landsat5 TM images as the data source, and adopted the derived data from TM such as NDVI, RVI, VI3, PVI, DVI, MSAVI, SAVI and TM4/TM5 as the main factors. In combination with the field survey data of vegetation samples, the authors selected the factors of the highest correlation and the measured vegetation coverage values to construct the regression model, and calculated the vegetation coverage of the images with this model. Some conclusions have been drawn: 1 compared with some other evaluation indices, TM4/TM5 which is suitable for modeling has the highest correlation with grassland coverage, the change trend of TM4/TM5 is consistent with the measured coverage and it enhances the difference of reflectance of degraded grassland on spectral characteristics; 2 in the 10 grades of vegetation coverage, the largest size is the coverage from 10% to 20% and its area reaches 4 322.15 km2, which accounts for 49.27% of the total grassland area; the next is 10% to 20% and 20% to 30%, whose areas reach 2 238.53 km2 (accounting for 25.52% ) and 1 397.87 km2 (accounting for 15.94%) respectively. The area of the coverage above 50% is 195.96 km2 and accounts for 2.23% of the total grassland; 3 the high coverage grassland with coverage greater than 50% is mainly distributed in the elevation range from 4 426 m to 4 800 m, its area reaches 186.25 km2 and accounts for 95.04% of the total high coverage grassland, and it is related to the water distribution conditions.
Key wordsWebGIS    discrete spatial-temporal data    dynamic visualization    OpenGL
收稿日期: 2011-08-09      出版日期: 2012-08-20
:  TP75  
  Q948  
基金资助:国家环保公益性行业科研专项(编号: 200709045, 200809010和200909050)资助。
引用本文:   
孙明, 杨洋, 沈渭寿, 苏羡. 基于TM数据的雅鲁藏布江源区草地植被盖度估测[J]. 国土资源遥感, 2012, 24(3): 71-77.
SUN Ming, YANG Yang, SHEN Wei-shou, SU Xian. Estimating Vegetation Coverage in the Source Region of Yarlung Zangbo River Based on TM Data. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 71-77.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/gtzyyg.2012.03.14      或      https://www.gtzyyg.com/CN/Y2012/V24/I3/71
[1] 陈杰,龚子同,高尚玉.干旱地区草场荒漠化及其评价[J].地理科学,2000,20(2):176-181. Chen J,Gong Z T,Gao S Y.Range Desertification in the Arid Areas and Its Assessment[J].Scientia Geographica Sinica,2000,20(2):176-181(in Chinese with English Abstract).
[2] 丁国栋,赵廷宁,范建友,等.荒漠化评价指标体系研究现状述评[J].北京林业大学学报,2004,26(1):92-96. Ding G D,Zhao Y N,Fan J Y,et al.Analysis on Development of Desertification Assessment Indicator System[J].Journal of Beijing Forestry University,2004,26(1):92-96(in Chinese with English Abstract).
[3] Eastwood J A,Yates M G,Thomson A G,et al.The Liability of Vegetation in Dices for Monitoring Salt Marsh Vegetation Cover[J].International Journal of Remote Sensing,1997,20(18):3901-3907.
[4] 高尚武,王葆芳,朱灵益,等.中国沙质荒漠化土地监测评价指标体系[J].林业科学,1998,34(2):1-9. Gao S W,Wang B F,Zhu L Y,et al.Monitoring and Evaluation Indicator System on Sandy Desertification of China[J].Scientia Silvae Sinicae,1998,34(2):1-9(in Chinese with English Abstract).
[5] Gutman G,Ignalov A.The Derivation of the Green Vegetation Fraction from NOAA/AVHRR Data for Use in Numerical Weather Prediction Models[J].International Journal of Remote Sensing,1998,21(8):1533-1543.
[6] 海春兴,刘宝元,赵烨.土壤湿度和植被盖度对土壤风蚀的影响[J].应用生态学报,2002,13(8):1057-1058. Hai C X,Liu B Y,Zhao Y.Influence of Soil Humidity and Vegetation Coverage on Wind Erosion[J].Chinese Journal of Applied Ecology,2002,13(8):1057-1058(in Chinese with English Abstract).
[7] 王葆芳.国内外沙漠化监测评价指标体系概述[J].林业科技通讯,1997(1):4-8. Wang B F.Brief Review on the Overseas Monitoring Evaluation Indexes System of Desertification[J].Forest Science and Technology,1997(1):4-8(in Chinese).
[8] 刘同海,吴新宏,董永平.基于TM影像的草原沙漠化植被盖度分析研究[J].干旱区资源与环境,2010,24(2):141-144. Liu T H,Wu X H,Dong Y P.Analysis on Vegetation Coverage of Grassland Desertification Based on TM Image[J].Journal of Arid Land Resources and Environment,2010,24(2):141-144(in Chinese with English Abstract).
[9] 倪忠云,何政伟,赵银兵,等.汶川地震前后都江堰植被盖度变化的遥感研究[J].水土保持研究,2009,16(4):45-48. Ni Z Y,He Z W,Zhao Y B,et al.Study on Vegetation Coverage Changes in Dujiangyan Before and After Wenchuan Earthquake[J].Research of Soil and Water Conservation,2009,16(4):45-48(in Chinese with English Abstract).
[10] 孙明,沈渭寿,李海东,等.雅鲁藏布江源区风沙化土地演变趋势[J].自然资源学报,2010,25(7):1163-1171. Sun M,Shen W S,Li H D,et al.Traits and Dynamic Changes of the Aeolian Sandy Land in the Source Region of the Yarlung Zangbo River in Tibet[J].Journal of Natural Resources,2010,25(7):1163-1171(in Chinese with English Abstract).
[11] 杨逸畴.雅鲁藏布江河谷风沙地貌的初步观察[J].中国沙漠,1984,4(3):12-16. Yang Y C.Aeolian Landform on the Banks of River Valley-Case Study in Yalutsangpo River Valley[J].Journal of Desert Research,1984,4(3):12-16(in Chinese with English Abstract).
[12] 孙明,沈渭寿,谢敏,等.基于光谱特征的雅鲁藏布江源区草地类型识别[J].国土资源遥感,2012(1):83-89. Sun M,Shen W S,Xie M,et al.The Identification of Grassland Types in the Source Region of the Yarlung Zangbo River Based on Spectral Features[J].Remote Sensing for Land and Resources,2012(1):83-89(in Chinese with English Abstract).
[13] 中国科学院青藏高原综合科学考察队.青藏高原科学考察丛书.西藏植被[M].北京:科学出版社,1988:261,311-313. Qinghai-Tibet Plateau Comprehensive Scientific Investigation Team,Chinese Academy of Science.The Series of the Scientific Expedition to the Qinghai-Xizang Plateau Forest of Tibet[M].Beijing:Science Press,1988:261,311-313(in Chinese).
[14] 中国科学院青藏高原综合科学考察队.青藏高原科学考察丛书.西藏草原[M].北京:科学出版社,1992:21-23. Qinghai-Tibet Plateau Comprehensive Scientific Investigation Team,Chinese Academy of Science.The Series of the Scientific Expedition to the Qinghai-Xizang Plateau Tibetan Grasslands[M].Beijing:Science Press,1992:21-23(in Chinese).
[15] 中国科学院青藏高原综合科学考察队.青藏高原科学考察丛书,西藏土壤[M].北京:科学出版社,1985:298. Qinghai-Tibet Plateau Comprehensive Scientific Investigation Team,Chinese Academy of Science.The Series of the Scientific Expedition to the Qinghai-Xizang Plateau Soils of Xizang(Tibet)[M].Beijing:Science Press,1985:298(in Chinese).
[16] 中国科学院青藏高原综合科学考察队.青藏高原科学考察丛书,西藏冰川[M].北京:科学出版社.1986:106-107. Qinghai-Tibet Plateau Comprehensive Scientific Investigation Team,Chinese Academy of Science.The Series of the Scientific Expedition to the Qinghai-Xizang Plateau Glacier of Xizang[M].Beijing:Science Press,1986:106-107(in Chinese).
[17] 何萍,郭柯,高吉喜,等.雅鲁藏布江源头区的植被及其地理分布特征[J].山地学报,2005,23(3):267-273. He P,Guo K,Gao J X,et al.Vegetation Types and Their Geographic Distribution in the Source Area of the Yarlung Zangbo[J].Journal of Mountain Research,2005,23(3):267-273(in Chinese with English Abstract).
[18] 王宏,李晓兵,龙慧灵,等.整合1982—1999年NDVI与降雨量时间序列模拟中国北方温带草原植被盖度[J].应用基础与工程科学学报,2008,16(4):525-536. Wang H,Li X B,Long H L,et al.Simulating Vegetation Fractional Coverage for Temperate Grassland in Northern China Combining NDVI with Precipitation Time Series from 1982 to 1999[J].Journal of Basic Science and Engineering,2008,16(4):525-536(in Chinese with English Abstract).
[19] 李海东,沈渭寿,邹长新,等.雅鲁藏布江源区土壤侵蚀特征[J].生态与农村环境学报,2010,26(1):25-30. Li H D,Shen W S,Zou C X,et al.Soil Erosion in the Source Area of the Yarlung Zangbo in China[J].Journal of Ecology and Rural Environment,2010,26(1):25-30(in Chinese with English Abstract).
[20] 李辉霞,鄢燕,刘淑珍,等.西藏高原草地退化遥感分析-以藏北高原典型区为例[M].北京:科学出版社,2008:75-99. Li H X,Yan Y,Liu S Z,et al.Study on Remote Sensing of Grassland Degeneration in the Xizang Plateau[M].Beijing:Science Press:2008:75-99(in Chinese).
[21] Tucker C J,Sellers P J.Satellite Remote Sensing of Primary Production[J].International Journal of Remote Sensing,1986,7(11):1395-1416.
[1] 王轶, 周迅, 周伟, 李飞. 基于WebGIS的离散时序空间数据动态可视化研究 [J]. 国土资源遥感, 2012, 24(2): 143-147.
[2] 李光敏. 基于.NET和 ArcIMS的农用地定级信息发布系统设计与研究[J]. 国土资源遥感, 2008, 20(2): 109-111.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
京ICP备05055290号-2
版权所有 © 2015 《自然资源遥感》编辑部
地址:北京学院路31号中国国土资源航空物探遥感中心 邮编:100083
电话:010-62060291/62060292 E-mail:zrzyyg@163.com
本系统由北京玛格泰克科技发展有限公司设计开发