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Remote sensing analysis of forest vegetation changes due to climate and anthropogenic impacts

机译：气候和人为影响对森林植被变化的遥感分析

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Forest vegetation interaction with climate and anthropogenic stressors is done through a series of complex feedbacks, which are not very well understood. The patterns of forest vegetation are highly determined by temperature, precipitation, solar irradiance, soil conditions and CO_2 concentration. Vegetation impacts climate directly through moisture, energy, and momentum exchanges with the atmosphere and indirectly through biogeochemical processes that alter atmospheric CO_2 concentration. Changes in forest vegetation land use/cover alter the surface albedo and radiation fluxes, leading to a local temperature change and eventually a vegetation response. This albedo (energy) feedback is particularly important when forests mask snow cover. Forest vegetation-climate feedback regimes are designated based on the temporal correlations between the vegetation and and the surface temperature and precipitation. The different feedback regimes are linked to the relative importance of vegetation and soil moisture in determining land-atmosphere interactions. The spatio-temporal dynamics are assessed in terms of the NDVI-surface temperature correlations. Observed vegetation feedbacks on temperature and precipitation are assessed based on Landsat TM, ETM, MODIS and IKONOS satellite data across some forested areas placed in North/Eastern part of Bucharest town as well as in Prahova Valley, Romania for 1989 -2007 period.
机译：森林植被与气候和人为压力源之间的相互作用是通过一系列复杂的反馈来完成的，人们对此并不十分了解。森林植被的格局在很大程度上取决于温度，降水，太阳辐照度，土壤条件和CO_2浓度。植被通过与大气的水分，能量和动量交换直接影响气候，并通过改变大气中CO_2浓度的生物地球化学过程间接影响气候。森林植被土地利用/覆盖面积的变化会改变地表反照率和辐射通量，导致局部温度变化，最终导致植被响应。当森林掩盖积雪时，这种反照率（能量）反馈特别重要。根据植被与地表温度和降水之间的时间相关性，确定森林植被-气候反馈制度。不同的反馈方式与植被和土壤水分在确定土地-大气相互作用中的相对重要性有关。时空动力学是根据NDVI表面温度的相关性进行评估的。基于Landsat TM，ETM，MODIS和IKONOS卫星数据，评估了布加勒斯特市北部/东部部分以及罗马尼亚Prahova谷在1989-2007年期间观测到的植被对温度和降水的反馈。

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