山区落叶松物候周期的时空变异研究

4区地球科学 Q1 Mathematics

Rivista Italiana Di Telerilevamento Pub Date : 2009-06-30 DOI:10.5721/ITJRS20094126

R. Colombo, L. Busetto, M. Migliavacca, E. Cremonese, M. Meroni, M. Galvagno, M. Rossini, C. Siniscalco, U. M. D. Cella

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引用次数: 11

摘要

本文利用卫星资料、气候变量驱动的主要地形属性(海拔、坡向)和物候模型，分析了意大利瓦尔奥斯塔山区欧洲落叶松物候周期的时空变异性。本文采用MODIS 250m - 16- ays NDVIata时间序列遥感技术，绘制了物候周期的年际变化。从卫星绿化图出发，从空间上探讨了落叶松物候在不同地形条件下的响应。最后，利用气候驱动物候模式的回顾性分析，评价了上个世纪落叶松物候的时间变异程度。

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On the spatial and temporal variability of Larch phenological cycle in mountainous areas

In this st��y we analye the spatial antemporal variability of Eropean Larch phenological cycle in montainos areas (Val ��osta, Italy) bysing a combination of satelliteata, primary topographic attribtes (altit��e anaspect) anphenological moelsriven by climatic variables. We apply a remote sensing techniqe baseon a time series of MODIS �ERR� 250m 16-�ays NDVIata for mapping the inter-annal variability of phenological cycle. Starting from the satellite green-�p maps we spatially explorethe response of larch phenology atifferent terrain conitions varying for altit��e anaspect. � retrospective analysis baseon climate-�riven phenological moels was finally con��cteto evalate the magnit��e of temporal variability of Larch phenology in the last centry.

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来源期刊

Rivista Italiana Di Telerilevamento Mathematics-Applied Mathematics

CiteScore

7.00

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： European Journal of Remote Sensing publishes research papers and review articles related to the use of remote sensing technologies. The Journal welcomes submissions on all applications related to the use of active or passive remote sensing to terrestrial, oceanic, and atmospheric environments. The most common thematic areas covered by the Journal include: -land use/land cover -geology, earth and geoscience -agriculture and forestry -geography and landscape -ecology and environmental science -support to land management -hydrology and water resources -atmosphere and meteorology -oceanography -new sensor systems, missions and software/algorithms -pre processing/calibration -classifications -time series/change analysis -data integration/merging/fusion -image processing and analysis -modelling European Journal of Remote Sensing is a fully open access journal. This means all submitted articles will, if accepted, be available for anyone to read anywhere, at any time, immediately on publication. There are no charges for submission to this journal.