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

被引:173
作者
Soudani, Kamel [1 ,2 ]
le Maire, Guerric [1 ,2 ]
Dufrene, Eric [1 ,2 ]
Francois, Christophe [1 ,2 ]
Delpierre, Nicolas [1 ,2 ]
Ulrich, Erwin [3 ]
Cecchini, Sebastien [3 ]
机构
[1] Univ Paris 11, Lab Ecol Systemat & Evolut, UMR8079, F-91405 Orsay, France
[2] AgroParisTech, F-75231 Paris, France
[3] Dept Rech, Off Natl Forets, F-77300 Fontainebleau, France
关键词
forest phenology; MODIS; NDVI time-series; MOD12Q2;
D O I
10.1016/j.rse.2007.12.004
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:2643 / 2655
页数:13
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