A New Index for Vegetation Enhancements of Mountainous Regions Based on Satellite Image Data

  • 1. Department of Resources Engineering, Longyan University, Longyan 364012, China;
    2. College of Environment and Resources, Fuzhou University, Fuzhou 350108, China

Received date: 2011-01-12

  Revised date: 2011-08-08

  Online published: 2011-10-25


In this study, a normalized difference mountain vegetation index (NDMVI) is proposed using Landsat TM/ETM+ images. The new index aims to correct terrain influence on the vegetation measurements of the NDVI (Normalized Difference Vegetation Index). Through analyzing the different spectral reflectance characteristics of vegetation between sunny and shaded slopes in the complex mountainous region, we developed a new index to introduce two parameters to adjust values of the near-infrared and red bands of the Landsat TM/ETM+ image. The newly developed index has advantages over the NDVI in correcting terrain impact and over the other similar terrain correction vegetation indices in that it does not need other supplement data such as DEM for the model. The study shows that the NDMVI has nearly no significant correlation with cosine value of solar incidence angle and is not sensitive to the terrain changes. Therefore, this new index can more effectively suppress the influence to vegetation observations due to terrain difference better than does the NDVI. In addition, the NDMVI has a wider dynamic range than the NDVI does, and thus, could distinguish different land cove types more effectively than the NDVI. We concluded that, compared with the C-correction model, the new index can achieve a better performance because it has avoided the over-correction bias.

Cite this article

WU Zhijie, XU Hanqiu . A New Index for Vegetation Enhancements of Mountainous Regions Based on Satellite Image Data[J]. Journal of Geo-information Science, 2011 , 13(5) : 656 -664 . DOI: 10.3724/SP.J.1047.2011.00656


[1] 姚晨,黄微,李元华. 地形复杂区域的典型植被指数评估[J]. 遥感技术与应用,2009,24(4): 496-501.

[2] 王培娟,孙睿,朱启疆,等. 复杂地形条件下提高BEPS模型模拟能力的途径[J]. 中国图象图形学报,2006,11(7): 1017-1026.

[3] 段四波,阎广建. 山区遥感图像地形校正模型研究综述[J]. 北京师范大学学报(自然科学版),2007, 43(3): 362-366.

[4] 闻建光,柳钦火,肖青,等. 复杂山区光学遥感反射率计算模型[J]. 中国科学(D辑:地球科学),2008, 33(11): 1419-1427.

[5] Covico D L. Topographic Normalization of Landsat Thematic Mapper Digital Imagery[J]. Photogrammetric Engineering & Remote Sensing, 1989, 55(9): 1303-1309.

[6] Teillet P M, Guindon B, Goodenough D G. On the Slope-aspect Correction of Multispectral Scanner Data[J]. Canadian Journal of Remote Sensing, 1982, 8(2): 84-106.

[7] Smith J, Lin T, Ranson K. The lambertian assumption and landsat data[J]. Photogrammetric Engineering and Remote Sensing, 1980, 46(9): 1183.

[8] Shepherd J D, Dymond J R. Correcting Satellite Imagery for the Variance of Reflectance and Illumination with Topography [J]. International Journal of Remote Sensing, 2003, 24(17): 3503-3514.

[9] 张兆明,何国金,刘定生,等. 一种改进的遥感影像地形校正物理模型[J]. 光谱学与光谱分析,2010, 30(7): 1839-1842.

[10] 江洪,王钦敏,汪小钦. 福建省长汀县植被覆盖度遥感动态监测研究[J]. 自然资源学报,2006, 21(1): 126-133.

[11] 江洪,汪小钦,吴波,等. 地形调节植被指数构建及在植被覆盖度遥感监测中的应用[J]. 福州大学学报(自然科学版),2010,38(4): 527-532.

[12] Rouse J W, Haas R H, Schell J A, et al. Monitoring Vegetation Systems in the Great Plains with ERTS . Proceedings of Third Earth Resources Technology Satellite 21 Symposium Greenbelt, 1974, 1: 48-62.

[13] 徐涵秋. 基于影像的Landsat TM/ETM+ 数据正规化技术[J]. 武汉大学学报(信息科学版),2007,32(1): 62-66.

[14] 黄微,张良培,李平湘. 一种改进的卫星影像地形校正算法[J]. 中国图象图形学报,2005,10(9): 1124-1128.

[15] 高永年,张万昌. 遥感影像地形校正研究进展及其比较实验[J]. 地理研究,2008,27(3): 467-477.

[16] 杨燕,田庆久. 森林覆盖区山地遥感地形校正的方法研究[J]. 遥感信息,2008(1): 22-26.

[17] Sandmeier S, Itten K I. A Physically-Based Model to Correct Atmospheric and Illumination Effects in Optical Satellite Data of Rugged Terrain[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35 (3): 708-717.

[18] 闫广建,朱重光,郭军,等. 基于模型的山地遥感图象辐射订正方法[J]. 中国图象图形学报,2000,5(1): 11-15.

[19] 程伟,田庆久,王黎明. 光学遥感的山地像元反射率反演模型研究[J]. 遥感信息,2008 (1): 31-36.

[20] 段四波,阎广建,穆西晗,等. 基于DEM的山区遥感图像地形校正方法[J]. 地理与地理信息科学,2007,23(6): 18-22.

[21] 史迪,阎广建,穆西晗. 光学遥感影像表观辐亮度地形效应纠正物理模型[J]. 遥感学报,2009,13(6), 1030-1046.