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A Phenology-Based Method for Monitoring Woody and Herbaceous Vegetation in Mediterranean Forests from NDVI Time Series

机译:基于物候学的NDVI时间序列监测地中海森林木本和草本植被的方法

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We present an efficient method for monitoring woody (i.e., evergreen) and herbaceous (i.e., ephemeral) vegetation in Mediterranean forests at a sub pixel scale from Normalized Difference Vegetation Index (NDVI) time series derived from the Moderate Resolution Imaging Spectroradiometer (MODIS). The method is based on the distinct development periods of those vegetation components. In the dry season, herbaceous vegetation is absent or completely dry in Mediterranean forests. Thus the mean NDVI in the dry season was attributed to the woody vegetation (NDVIW). A constant NDVI value was assumed for soil background during this period. In the wet season, changes in NDVI were attributed to the development of ephemeral herbaceous vegetation in the forest floor and its maximum value to the peak green cover (NDVIH). NDVIW and NDVIH agreed well with field estimates of leaf area index and fraction of vegetation cover in two differently structured Mediterranean forests. To further assess the method’s assumptions, understory NDVI was retrieved form MODIS Bidirectional Reflectance Distribution Function (BRDF) data and compared with NDVIH. After calibration, leaf area index and woody and herbaceous vegetation covers were assessed for those forests. Applicability for pre- and post-fire monitoring is presented as a potential use of this method for forest management in Mediterranean-climate regions.
机译:我们提供了一种有效的方法,该方法可以从中等分辨率成像光谱仪(MODIS)导出的归一化植被指数(NDVI)时间序列的亚像素尺度上监视地中海森林中的木质(即常绿)和草本(即短暂植物)植被。该方法基于这些植被成分的不同发育时期。在干旱季节,地中海森林中没有草食性植被或植被完全干燥。因此,干旱季节的平均NDVI归因于木质植被(NDVI W )。在此期间,假定土壤背景的NDVI值恒定。在雨季,NDVI的变化归因于林地中短暂的草本植物的发展,其最大值归因于峰值绿化覆盖率(NDVI H )。 NDVI W 和NDVI H 与两种结构不同的地中海森林的叶面积指数和植被覆盖率的田间估计吻合得很好。为了进一步评估该方法的假设,从MODIS双向反射分布函数(BRDF)数据中检索了下层NDVI,并将其与NDVI H 进行了比较。校准后,评估了这些森林的叶面积指数以及木质和草本植被。火灾前和火灾后监测的适用性被认为是该方法在地中海气候地区森林管理中的潜在用途。

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