首页> 外文会议>International Society for Photogrammetry and Remote Sensing Congress >GEOINFORMATION FOR SUSTAINABLE DEVELOPMENT SPATIAL AND STRUCTURAL ANALYSIS OF DEFORESTATION IN AN URBAN AREA SINCE 1950: THE POINTE-NOIRE CASE STUDY (R. OF CONGO)
【24h】

GEOINFORMATION FOR SUSTAINABLE DEVELOPMENT SPATIAL AND STRUCTURAL ANALYSIS OF DEFORESTATION IN AN URBAN AREA SINCE 1950: THE POINTE-NOIRE CASE STUDY (R. OF CONGO)

机译:自1950年以来城市城市地区可持续发展的地理信息及结构分析:Pointe-Noire案例研究(刚果的R.)

获取原文

摘要

Nowadays several discussions exist about the dramatic expansion of environmental degradation and the solution considered is sustainable development. This requires a great knowledge of the ecosystem pattern, processes and predictability as well as information about the relationship between environmental and human factors. It needs to link spatial pattern and ecological processes at broad spatial and temporal scales. In this purpose, one way is to identify and quantify the environmental and anthropological factors in order to assess the relationship between population and natural forest resources, through the establishment of a physical as well as a human factor balance. The emphasis has been placed on a strategic method in order to improve environmental information and to provide a reliable support for natural resources management. This was done by establishing maps predicting deforestation risks. The predicted African urban expansion for the next decade as well as the emergency and renewed interest in the environmental problematic confer a real significance to this paper. The results permit us to know where natural forest transgresses and in what quantities in six characteristic training zones. How much of this forest has disappeared since 1950 under population and urban pressures and what is the nature of these human pressures? This analysis is required to extrapolate information across scales (temporal and spatial) in order to provide, through dynamic predictive modelling, deforestation predictability support for reasonable landscape management.
机译:如今存在几次关于环境退化的戏剧性扩张的讨论,并且考虑的解决方案是可持续发展。这需要了解生态系统模式,过程和可预测性以及有关环境和人为因素之间关系的信息。它需要在广泛的空间和时间尺度链接空间模式和生态过程。以此目的,一种方法是识别和量化环境和人类学因素,以评估人口与自然森林资源之间的关系,通过建立物理以及人为因子平衡。重点是在战略方法上,以改善环境信息,并为自然资源管理提供可靠的支持。这是通过建立预测森林殖民风险的地图来完成的。预测非洲城市扩张未来十年,以及对环境问题的紧急和重新兴趣会赋予本文的真实意义。结果允许我们知道自然森林违背以及六个特征训练区中的数量。自1950年以来的人口和城市压力以来,这森林自1950年起消失了多少,这些人类压力是什么?这种分析必须通过动态预测建模,森林造型可预测性支持来推断跨尺度(时间和空间)来推断信息,以便提供合理的景观管理。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号