...
首页> 外文期刊>Global change biology >Remote sensing of larch phenological cycle and analysis of relationships with climate in the Alpine region
【24h】

Remote sensing of larch phenological cycle and analysis of relationships with climate in the Alpine region

机译:高山地区落叶松物候周期的遥感及其与气候的关系分析

获取原文
获取原文并翻译 | 示例
           

摘要

This research aims at developing a remote sensing technique for monitoring the interannual variability of the European larch phenological cycle in the Alpine region of Aosta Valley (Northern Italy) and to evaluate its relationships with climatic factors. Phenological field observations were conducted in eight test sites from 2005 to 2007 to determine the dates of completion of different phenological phases. MODerate Resolution Imaging Spectrometer (MODIS) 250 m 16-days normalized difference vegetation index (NDVI) time series were fitted with double logistic curves and the dates corresponding to different features of the curves were determined. Comparison with field data showed that the features of the fitted NDVI curve that allowed the best estimate of the start and end of the growing season were the zeroes of its third derivative (MAE of 6 and 4 days, respectively). The start and end of season were also estimated with the spring warming (SW) and growing season index (GSI) phenological models. MODIS start and end of season dates generally agreed with those obtained by the SW and GSI climate-driven phenological models. However, phenological models provided erroneous results when applied in years with anomalous meteorological conditions. The relationships between interannual variability of the larch phenological cycle and climate were investigated by comparing the mean start and end of season yearly anomalies with air temperature anomalies. A strong linear relationship (R2=0.91) was found between mean spring temperatures and mean start of season dates, with an increase of 1 degrees C in mean spring temperature leading to a 7-day anticipation of mean larch bud-burst date. Leaf coloring dates were found to be best related with mean September temperature (R2=0.77), but with higher spring temperatures appearing to lead to earlier leaf coloring.
机译:这项研究旨在开发一种遥感技术,以监测在奥斯塔山谷(意大利北部)的高山地区欧洲落叶松物候周期的年际变化,并评估其与气候因素的关系。从2005年到2007年,在八个测试地点进行了物候场观察,以确定不同物候期完成的日期。中等分辨率成像光谱仪(MODIS)将250 m的16天归一化植被指数(NDVI)时间序列与双逻辑曲线拟合,并确定对应于曲线不同特征的日期。与现场数据的比较表明,拟合的NDVI曲线的特征可以对其生长季节的开始和结束进行最佳估计,其三次导数为零(MAE分别为6天和4天)。还使用春季变暖(SW)和生长季节指数(GSI)物候模型来估计季节的开始和结束。 MODIS的季节开始日期和结束日期通常与SW和GSI气候驱动的物候模型获得的日期一致。但是,当在异常气象条件下使用时,物候模型提供了错误的结果。通过比较季节年度异常的平均开始和结束与气温异常,研究了落叶松物候周期的年际变化与气候之间的关系。平均春季温度和平均季节开始日期之间存在很强的线性关系(R2 = 0.91),平均春季温度升高1摄氏度,可以预期7天平均落叶松芽期。发现叶片着色日期与9月平均温度最佳相关(R2 = 0.77),但较高的春季温度似乎导致叶片着色较早。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号