Trees at the rural-urban interface in Bengaluru: patterns, functions, role and relevance

班加罗尔城乡交界处的树木：模式、功能、作用和相关性

• 批准号: 289861528
• 负责人: Professor Dr. Christoph Kleinn
• 金额: --
• 依托单位: Abteilung Waldinventur und Fernerkundung
• 依托单位国家: 德国
• 项目类别: Research Units
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/289861528?language=en
• 关键词: Trees; rural; urban; interface; Bengaluru

Green spaces play an important role in urban and peri-urban areas and are the major defining land cover in rural areas. Depending on their relative position along the rural-urban gradient and the surrounding built-up areas, they serve various functions and it can be expected that social-economic variables of particular quarters exhibit a particular relationship to green spaces spatial pattern. Project C02 researches into these relationships. As a pre-condition to this quantitative analyses, urban-rural indices are analysed and tested for their suitability to integrate patterns of green spaces as indicators. Remote sensing imagery at different spatial resolutions is being used to map and analyse green spaces for greater Banagalore (Landsat and RapidEye) and to determine biophysical characteristics, uses and functions of green spaces (WorldView 3, in a selected transect). The remote sensing image pre-processing and classification as well as the corresponding ground truthing is implemented in close collaboration with the Indian project collaborators; and social data will be sought from official sources including the Bangalore Development Authority. An image segmentation of greater Banaglore will be carried out into areas of similar green spaces patterns as a basis for establishing relationships between biophysical and social variables. A Landsat based time series of land use will be built in order to test the hypothesis that the changes in green spaces configuration follow a similar pattern both over space and over time. Options will be tested to make the time series more accurate and speficic by sub-pixel analyses for green spaces using up-to-date Landsat imagery and high resolution imagery as a basis for spectral unmixing. In addition, as a prototype for the entire research group, a WebGIS will be established that accommodates all spatial data of C02 and serves as a visualization tool which may support identification of joint thematic interests and therefore foster collaboration between FOR projects.

绿色空间在城市和城郊地区发挥着重要作用，也是农村地区土地覆盖的主要决定因素。根据它们沿城乡梯度和周围建成区的相对位置，它们具有不同的功能，并且可以预期特定区域的社会经济变量与绿地空间格局表现出特定的关系。项目 C02 研究这些关系。作为定量分析的前提条件，我们对城乡指数进行了分析和测试，以确定其是否适合将绿色空间模式作为指标。不同空间分辨率的遥感图像用于绘制和分析大班纳加罗尔的绿色空间（Landsat 和 RapidEye），并确定绿色空间的生物物理特征、用途和功能（WorldView 3，在选定的横断面中）。遥感图像预处理和分类以及相应的地面实况是与印度项目合作者密切合作实施的；社会数据将从包括班加罗尔发展局在内的官方来源获取。大班纳格罗尔的图像分割将被划分为类似绿色空间模式的区域，作为建立生物物理和社会变量之间关系的基础。将建立基于陆地卫星的土地利用时间序列，以检验绿地配置的变化在空间和时间上都遵循类似模式的假设。将使用最新的陆地卫星图像和高分辨率图像作为光谱分解的基础，通过对绿色空间进行亚像素分析来测试选项，以使时间序列更加准确和具体。此外，作为整个研究小组的原型，将建立一个WebGIS，容纳CO2的所有空间数据，并作为可视化工具，支持联合主题兴趣的识别，从而促进FOR项目之间的合作。