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A Comparative Study of NDVI Values Between North- and South-Facing Slopes in a Semiarid Mountainous Region

机译:半干旱山区南北坡NDVI值的比较研究

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This paper used Landsat-5 Thematic Mapper (TM) data from 2007 to 2011 to examine seasonal changes in the normalized difference vegetation index (NDVI) in north-facing and south-facing slopes of a small (approximately 1900 ha.) west-draining hydrographic basin in the Guadalupe Valley in northwest Mexico. The analysis was done for the wet and dry seasons of this mid-latitude (32°N) basin with a rugged geomorphology covered by mostly native vegetation (chaparral) with minor anthropogenic disturbance. We used ten Landsat-5 TM satellite images that were preprocessed to correct atmospheric effects, to further estimate radiance and reflectance before the NDVI computation was performed. A LiDAR derived digital terrain model was used to calculate the terrain slope and aspect to further select and classify north and south facing slopes. With the slopes classified, zonal statistics of the NDVI were computed estimating mean and standard deviation for both slope orientations. We found higher NDVI values in the north-facing than in the south-facing slopes, regardless of the season (wet and dry), and also higher vegetation index values during the wet season compared to the dry season. For the period analyzed, we distinguished the signal of extreme dry year during 2007.
机译:本文使用2007年至2011年的Landsat-5专题测绘仪(TM)数据研究了西排水小(约1900公顷)的北坡和南坡的归一化植被指数(NDVI)的季节性变化。墨西哥西北部瓜达卢佩河谷的水文盆地。对这个中纬度(32°N)盆地的干湿季节进行了分析,其地貌崎by不平,大部分被原生植被(丛林)覆盖,人为干扰较小。我们使用经过预处理以纠正大气影响的十个Landsat-5 TM卫星图像,以在执行NDVI计算之前进一步估算辐射和反射率。使用LiDAR衍生的数字地形模型来计算地形坡度和坡向,以进一步选择和分类朝北和朝南的坡度。在对坡度进行分类的情况下,计算了NDVI的区域统计量,以估算两种坡度方向的均值和标准差。我们发现,无论季节如何(潮湿和干燥),北坡的NDVI值都比南坡的NDVI值高,并且与干旱季节相比,在湿季期间的植被指数值也更高。在分析期间,我们区分了2007年极端干旱年份的信号。

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