首页> 外文会议>Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology; 20070918-20; Florence(IT) >Climate changes impacts on the surface albedo of a forest ecosystem based on MODIS satellite data
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Climate changes impacts on the surface albedo of a forest ecosystem based on MODIS satellite data

机译:气候变化对基于MODIS卫星数据的森林生态系统地表反照率的影响

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Surface albedo is one of the most important biophysical parameter responsible for energy balance control and the surface temperature and boundary-layer structure of the atmosphere. Forest land surface albedo is also highly variable temporally showing both diurnal as well as seasonal variations. In forest systems, albedo controls the microclimate conditions which affects ecosystem physical, physiological, and biogeochemical processes such as energy balance, evapotranspiration, photosynthesis. Due to anthropogenic and natural factors, land cover and land use changes result is the land surfaces albedo change. The main aim of this paper is to investigate the albedo patterns due to the impact of atmospheric pollution and climate variations of a forest ecosystem Branesti-Cemica, placed to the North-East of Bucharest city, Romania based on satellite Landsat ETM+, IKONOS and MODIS data and climate station observations. Our study focuses on 3 years of data (2003-2005), each of which had a different climatic regime.. As the physical climate system is very sensitive to surface albedo, forest ecosystems could significantly feedback to the projected climate change modeling scenarios through albedo changes. The results of this research have a number of applications in weather forecasting, climate change, and forest ecosystem studies.
机译:表面反照率是最重要的生物物理参数之一,负责控制能量平衡以及大气的表面温度和边界层结构。林地表面反照率在时间上也有很大的变化,既表现出昼夜变化,又表现出季节性变化。在森林系统中,反照率控制着影响生态系统物理,生理和生物地球化学过程(例如能量平衡,蒸散,光合作用)的微气候条件。由于人为和自然因素,土地覆被和土地利用变化的结果是土地表面反照率的变化。本文的主要目的是研究基于卫星Landsat ETM +,IKONOS和MODIS的罗马尼亚布加勒斯特市东北部森林生态系统Branesti-Cemica的大气污染和气候变化对大气污染和气候变化的影响而产生的反照率模式。数据和气候站观测。我们的研究集中在3年的数据(2003-2005年)上,每个数据都有不同的气候体制。由于物理气候系统对地表反照率非常敏感,森林生态系统可以通过反照率显着地反馈给预计的气候变化模拟方案变化。这项研究的结果在天气预报,气候变化和森林生态系统研究中有许多应用。

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