Methods to Evaluate Land-Atmosphere Exchanges in Amazonia Based on Satellite Imagery and Ground Measurements

G. Oliveira, N. Brunsell, E. Moraes, Y. Shimabukuro, G. Mataveli, T. V. Santos, C. Randow, L. Aragão
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引用次数: 1

Abstract

During the last three decades, intensive campaigns and experiments have been con- ducted for acquiring micrometeorological data in the Amazonian ecosystems, which has increased our understanding of the variation, especially seasonally, of the total energy available for the atmospheric heating process by the surface, evapotranspiration and carbon exchanges. However, the measurements obtained by such experiments generally cover small areas and are not representative of the spatial variability of these processes. This chapter aims to discuss several algorithms developed to estimate surface energy and carbon fluxes combining satellite data and micrometeorological observations, high lighting the potentialities and limitations of such models for applications in the Amazon region. We show that the use of these models presents an important role in understanding the spatial and temporal patterns of biophysical surface parameters in a region where most of the information is local. Data generated may be used as inputs in earth system surface models allowing the evaluation of the impact, both in regional as well as global scales, caused by land-use and land-cover changes.
基于卫星影像和地面测量的亚马逊地区陆地-大气交换评价方法
在过去的三十年中,为了获取亚马逊生态系统的微气象数据,开展了大量的活动和实验,这些活动和实验增加了我们对大气加热过程中地表、蒸散发和碳交换总能量变化的理解,特别是季节变化。然而,此类实验获得的测量结果通常覆盖小区域,不能代表这些过程的空间变异性。本章的目的是讨论结合卫星数据和微气象观测开发的几种估算地表能和碳通量的算法,突出这些模型在亚马逊地区应用的潜力和局限性。研究表明,这些模型的使用在理解生物物理表面参数的时空格局方面发挥了重要作用,其中大部分信息都是局部的。所产生的数据可用作地球系统地表模式的输入,以便在区域和全球范围内评价土地利用和土地覆盖变化所造成的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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