Vegetation activity in the upper Oueme basin (Benin, Africa) studied from SPOT-VGT (2002-2012) according to land cover

T. Do, S. Bigot, S. Galle
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引用次数: 5

Abstract

Signs of climate change in West Africa over the last few decades are among the significant observed in the tropics, in particular the decrease in mean annual precipitation. Although such change has brought about new eco-climatic constraints on vegetation forms, it has not proven easy to determine interannual and intra-seasonal variations on a regional scale for major vegetation forms, whether natural or highly artificial as a result of human activities. The present study analyzes vegetation activity via a Normalized Difference Vegetation Index (NDVI) defined from ten-day SPOT-VGT data (one-km resolution, covering the period from 2002 to 2012) in the African Monsoon Multidisciplinary Analysis (AMMA) Program observation zone, located in the Upper Oueme River Basin in Benin. The statistical analysis is mainly based on a multifactor approach allowing approximately 54% of interannual NDVI variations to be accounted for. Results show that spatio-temporal NDVI variability in the River Basin is highly dependent on land use, be it forest, wooded savanna, farmland or areas undergoing conversion.
基于土地覆盖的SPOT-VGT 2002-2012年非洲贝宁上Oueme盆地植被活动研究
过去几十年西非气候变化的迹象是在热带地区观测到的重要迹象之一,特别是年平均降水量的减少。虽然这种变化给植被形式带来了新的生态气候限制,但事实证明,在区域尺度上确定主要植被形式的年际和季节变化并不容易,无论是自然的还是人类活动造成的高度人为的。本研究利用非洲季风多学科分析(AMMA)项目观测区的10天SPOT-VGT数据(1公里分辨率,覆盖2002 - 2012年)定义的归一化植被指数(NDVI)分析了植被活动,该观测区位于贝宁的Oueme河上游流域。统计分析主要基于多因素方法,允许考虑年际NDVI变化的约54%。结果表明:流域NDVI时空变化高度依赖于林地、稀树草原、农田和转换区等土地利用类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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