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Vegetation response to rainfall pulses in the Sonoran Desert as modelled through remotely sensed imageries

机译:通过遥感影像模拟的索诺兰沙漠中植被对降雨脉冲的响应

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In northwestern Mexico in an annual cycle comprised months 2008-2009, we estimated the effects of cumulative rainfall and previous vegetation status on current vegetative greenness adjusted for soil reflectance [via the Transformed Soil Adjusted Vegetation Index (TSAVI)] and canopy water content [via the Normalized Difference Infrared Index (NDII)]. Sample kernels (540 of <0.4 ha) were stratified in nine areas by latitude, distance to the Pacific Ocean and slope across a 15 000 km(2) area on the Baja California peninsula. Rainfall data were accumulated over 2-, 4- and 6-week periods from daily satellite estimates [via the Tropical Rainfall Measuring Mission (TRMM)]. TSAVI and NDII were calculated from Landsat 5 TM images. When restricted by season, multiple regressions results were 0.59 r(2)(adj) < 0.96 for TSAVI and 0.45 < r(adj)(2) < 0.85 for NDII. Rainfall alone accounted for up to an exceptional 70% of the variance in vegetation indices, while the most widely significant factors were the previous vegetation status and its interaction with precipitation. For TSAVI, direct dependence on precipitation was generally much greater for the 4- and 6-week accumulation than for the 2-week periods. However, none of the factors was universally significant for either vegetation index. Results also showed the importance of scale in the spatial heterogeneity of climate and topography in this arid landscape.
机译:在墨西哥西北部,以2008-2009个月为周期的年度周期,我们估计了累积降雨和先前的植被状况对通过反射率调整过的当前植被绿度的影响(通过转化土壤调整过的植被指数(TSAVI))和冠层含水量[通过归一化差异红外指数(NDII)]。根据纬度,到太平洋的距离和在下加利福尼亚州半岛的15,000 km(2)区域上的坡度,将样品籽粒(540个<0.4公顷)分为9个区域。降雨数据是通过每日卫星估计数(通过热带降雨测量团(TRMM))在2、4和6周内累积的。 TSAVI和NDII由Landsat 5 TM影像计算得出。当受季节限制时,TSAVI的多元回归结果为0.59 r(2)(adj)<0.96,而NDII的多元回归结果为0.45

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