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Evaluation of the onset of green-up in temperate deciduous broadleaf forests derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data

机译:从中等分辨率成像光谱仪(MODIS)数据评估温带落叶阔叶林绿化的开始

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Vegetation phenology is the chronology of periodic phases of development. It constitutes an efficient bio-indicator of impacts of climate changes and a key parameter for understanding and modelling vegetation-climate interactions and their implications on carbon cycling. Numerous studies were devoted to the remote sensing of vegetation phenology. Most of these were carried out using data acquired by AVHRR instrument onboard NOAA meteorological satellites. Since 1999, multispectral images were acquired over the whole earth surface every one to two days by MODIS instrument onboard Terra and Aqua platforms. In comparison with AVHRR, MODIS constitutes a significant technical improvement in terms of spatial resolution, spectral resolution, geolocation accuracy, atmospheric corrections scheme and cloud screening and sensor calibration. In this study, 250 in daily MODIS data were used to derive precise vegetation phenological dates over deciduous forest stands. Phenological markers derived from MODIS time-series and provided by MODIS Global Land Cover Dynamics product (MOD12Q2) were compared to field measurements carried out over the main deciduous forest stands across France and over five years. We show that the inflexion point of the asymmetric double-sigmoid function fitted to NDVI temporal profile is a good marker of the onset of green-up in deciduous stands. At plot level, the prediction uncertainty is 8.5 days and the bias is 3.5 days. MODIS Global Land Cover Dynamics MODI2Q2 provides estimates of onset of green-up dates which deviate substantially from in situ observations and do not perforin better than the null model. RMSE values are 20.5 days (bias -17 days) using the onset of greenness increase and 36.5 days (bias 34.5 days) using the onset of greenness maximum. An improvement of prediction quality is obtained if we consider the average of MOD12Q2 onset of greenness increase and maximum as marker of onset of green-up date. RMSE decreases to 16.5 days and bias to 7.5 days. (C) 2008 Elsevier Inc. All rights reserved.
机译:植被物候学是发育阶段的时间顺序。它是气候变化影响的有效生物指标,是理解和模拟植被-气候相互作用及其对碳循环的影响的关键参数。大量研究致力于植被物候学的遥感。其中大多数是使用NOAA气象卫星上的AVHRR仪器获取的数据进行的。自1999年以来,通过Terra和Aqua平台上的MODIS仪器每隔一到两天就获得了整个地球表面的多光谱图像。与AVHRR相比,MODIS在空间分辨率,光谱分辨率,地理位置精度,大气校正方案以及云筛查和传感器校准方面构成了重大的技术改进。在这项研究中,每天250个MODIS数据被用于得出落叶林林分的精确植被物候日期。将来自MODIS时间序列的,由MODIS全球土地覆盖动力学产品(MOD12Q2)提供的物候标记与在法国及五年以上的主要落叶林林分进行的野外测量进行了比较。我们表明,适应NDVI时间剖面的非对称双S形函数的拐点是落叶林中绿起的良好标志。在地块级别,预测不确定性为8.5天,偏差为3.5天。 MODIS全球土地覆盖动态MODI2Q2提供了绿色日期开始的估计,该日期与实地观测值有很大出入,并且不比零模型好。使用绿度增加的开始,RMSE值为20.5天(偏差-17天),使用绿度最大值的开始,RMSE值为36.5天(偏差34.5天)。如果我们将MOD12Q2发绿平均值的增加和最大值作为发绿日期的标志,则可以提高预测质量。 RMSE减少至16.5天,而偏差则为7.5天。 (C)2008 Elsevier Inc.保留所有权利。

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