Analysis of Multispectral Remote Sensing Data Recording Changes in Agricultural Land Uses in the Brazilian Amazon

9308495坎贝尔最近对巴西亚马逊的殖民速度引起了人们对大面积热带原始森林的丧失以及在该区域建立可持续农业系统的不确定前景的关切。管理这类地区发展的有效政策取决于清楚和详细地了解殖民者如何利用这片土地，以及它们的使用如何随着时间的推移而改变。以前的研究通过卫星概览的方式研究了这些地区的森林砍伐情况，通常没有实地数据的帮助。这项研究应用多光谱遥感数据来识别最近被殖民的巴西隆多尼亚地区的土地利用模式。它对1986年至1992年期间的土地使用情况进行了逐个地段、逐个田地的详细审查。它将侧重于森林面积的变化，以及在殖民期间取代林区的土地使用。通过对土地覆盖变化的分析，这项研究将隔离那些导致森林砍伐的生物、社会和经济过程。特别令人感兴趣的是放弃经济活动后森林的重新生长，以及如何通过卫星数据的光谱图像确定初级和次生生长林之间的差异。对全球变化的研究不仅包括对人类活动改变自然环境的方式的分析，还包括对自然系统再生速度和特征的分析。这一研究项目将利用遥感数据与地面观测和社会调查相结合，将加强对人类活动在世界生态敏感地区毁林和森林再生这一复杂过程中的作用的了解。***

9308495 Campbell The pace of recent colonization of the Brazilian Amazon has provoked concern over losses of large areas of tropical primary forest as well as the uncertain prospect of establishing sustainable agricultural systems in this region. Effective policies for managing development of such regions depend upon a clear and detailed understanding of how colonists have used the landscape and how their uses change over time. Previous studies have examined deforestation in such regions by means of satellite overviews, often without the benefit of field data. This study applies multispectral remote sensing data to identify land use patterns in a recently colonized region of Rondonia, Brazil. It performs a detailed examination of land use on a lot-by-lot, field-by-field basis for the period 1986 to 1992. It will focus on changes in forested area and upon land uses that have replaced forested areas during colonization. Through analysis of changes in land cover the research will isolate those biologic, social, and economic processes which contribute to deforestation. Of particular interest is the regrowth of forest after abandonment of economic activity, and how the differences between primary and secondary growth forest can be determined through spectral images from satellite data. Research on global change includes not only analysis of ways in which human activity modifies physical environments, but also the speed and character of regeneration of natural systems. This research project, combining use of remotely sensed data with ground observations and social surveys, will enhance understanding of the role of human activity in the complex processes of deforestation and forest regeneration in ecologically senstive areas of the world. ***