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基于TM影像的草原沙漠化植被盖度分析研究 被引量:16

Analysis on vegetation coverage of grassland desertification based on TM image
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摘要 植被盖度是草原沙漠化评价的重要指标,以TM影像为数据源,结合地面调查数据和对应点的NDVI值,建立了植被指数与植被盖度间的回归模型,利用该模型生成植被盖度分布图;同时利用前人的植被盖度计算经验公式,生成同一区域的植被盖度分布图,并分别对其植被盖度数据进行分级。对比分级结果,发现:通过大量的地面调查数据建立的盖度分析模型分类精度较高,总精度达到85.42%,而通过经验公式计算,效果相对较差,其分类精度仅有75.00%。 The vegetation coverage is the key factor for grassland desertification evaluation. Basing on TM images and combining with the ground data and NDVI of storey points, the model of NDVI and the vegetation coverage were established as C = 115. 482 × NDVI + 20. 046. The correlation coefficient was 0. 803, and F test showed a more significant result. According to this model and the acknowledged formula C = (NDVI -NDVIs)/( NDVIv -NDVIs) , the vegetation coverage map was generated and then was used for grassland desertification evaluation. Comparing the results of classification we found that a higher accuracy of 85.42% can be got with the established model while the relatively poor classification accuracy with the formula as only 75.00%.
出处 《干旱区资源与环境》 CSSCI CSCD 北大核心 2010年第2期141-144,共4页 Journal of Arid Land Resources and Environment
基金 国家农业科技跨越计划"华北沙尘暴防治植被快速恢复技术体系建立与示范"(2000-01)资助
关键词 TM影像 植被盖度 NDVI 模型 TM image vegetation coverage NDVI model
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参考文献3

  • 1Ranga B Myndni, Ghasem Asrar. Remote sensing of solar radiation absorbed and reflected by vegetated land surfaces [J]. IEEETrans. Gessci. RemoteSensing, 1991,30(2) :302 -314.
  • 2章文波,符素华,刘宝元.目估法测量植被覆盖度的精度分析[J].北京师范大学学报(自然科学版),2001,37(3):402-408. 被引量:197
  • 3中华人民共和国国家标准.天然草地退化、沙化、盐渍化的分级指标[M].北京:中国标准出版社,2004.

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