首页> 外文期刊>ISPRS Journal of Photogrammetry and Remote Sensing >Assessment of Caatinga response to drought using Meteosat-SEVIRI Normalized Difference Vegetation Index (2008-2016)
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Assessment of Caatinga response to drought using Meteosat-SEVIRI Normalized Difference Vegetation Index (2008-2016)

机译:使用Meteosat-SEVIRI归一化植被指数评估Caatinga对干旱的反应(2008-2016)

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The Caatinga semi-arid vegetation in Northeast region of Brazil (NEB) provides a unique opportunity for studying the vegetation in response to recurring droughts, because of its negative impacts on soil erosion. Surprisingly, however, the response of Caatinga vegetation to a recent multi-year drought across the entire semi-arid NEB has not been studied in detail. This study analyses the spatiotemporal patterns of drought impact on the Caatinga vegetation between 2008 and 2016. Yet previous research has shown that a linear relationship exists between rainfall and Caatinga vegetation at interannual timescale. Because of the strong large-scale control of precipitation, year-to-year rainfall variations have a notable degree of spatiotemporal heterogeneity in semi-arid NEB. We exploit this relationship by developing the local-to regional-scale rainfall-Normalized Difference Vegetation Index (NDVI) distribution over the Caatinga vegetation, using daily rainfall time series from in situ weather stations, and daily Meteosat Second Generation (MSG) NDVI time series. Results showed that the drought impact (2012-2015) through the rainfall deficit dynamics influenced the dynamics of vegetative drought in the Caatinga vegetation where exhibit a strong decrease in vegetation activity, contrasting with irrigated croplands that exhibit little sensitivity to drought. It is the longest, continuous drought on the historical record (1901 onwards). The severe drought year of 2012 affected more than 26% of the vegetated area in the region. Over the 2012-2016 period, the positive trend observed in vegetation greenness is largely explained by a positive trend in the rainfall over 45% of the Caatinga vegetation, with the three months lagged rainfall (R-2 = 0.62 with p 0.05). This suggests that the vegetation greenness occurs in some portions of Caatinga region is mainly due to inadequate land management practices (i.e., irrigation with poor drainage, crop planting, bush encroachment, grazing-converted, pasture, etc.) often in combination with recurring droughts.
机译:巴西东北地区(NEB)的Caatinga半干旱植被,由于其对土壤侵蚀的负面影响,为研究该植被响应反复干旱提供了独特的机会。令人惊讶的是,尚未详细研究整个半干旱NEB上Caatinga植被对最近多年干旱的响应。这项研究分析了2008年至2016年干旱对Caatinga植被的时空格局。但先前的研究表明,在年际尺度上降雨与Caatinga植被之间存在线性关系。由于强大的大规模降水控制,在半干旱NEB中,逐年降雨变化具有明显的时空异质性。我们利用原地气象站的每日降雨时间序列和Meteosat第二代(MSG)的每日NDVI时间序列,通过开发Caatinga植被上的局部到区域尺度的降雨标准化差异植被指数(NDVI)分布,来利用这种关系。 。结果表明,通过降雨不足动态造成的干旱影响(2012-2015年)影响了Caatinga植被中的植物干旱动态,该地区植被活动显着下降,而灌溉农田对干旱的敏感性却很小。这是历史记录上最长,持续的干旱(1901年以来)。 2012年的严重干旱年份影响了该地区超过26%的植被。在2012年至2016年期间,植被绿色度的积极趋势在很大程度上解释为Caatinga植被超过45%的降雨呈积极趋势,而三个月的降雨则滞后(R-2 = 0.62,p <0.05)。这表明,Caatinga地区某些地区发生植被绿化的主要原因是土地管理实践不足(即灌溉不力,排水不畅,农作物种植,灌木丛侵占,放牧转化,牧场等),经常与干旱反复发生相结合。 。

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