METHODOLOGY FOR GREEN AND BUILT VOLUME ANALYSIS

ABSTRACT Today, in some Brazilian cities, there is the possibility of using high-resolution data and automated classification based on spectral bands. Thus, this article aims to evaluate the association of the NDVI(normalized difference vegetation index) to the use of LiDAR, in order to analyze urban vegetation cover and the changes of the local landscapes. It was observed that the association of the high spatial resolution of an aerophotogrammetric image to the spectral response in the near infrared range allowed the vegetation to be identified. This enabled the documentation, visualization and analysis of a location’s phenomenon, facilitating the investigation of spatial relationships through representation by maps, charts, especially for simulating possible spatial scenarios and thus permitting the evaluation of interventions and predictions to be made, assisting projects or proposed laws and urban parameters.

摘要
现如今，巴西部分城市已可应用基于光谱波段的高分辨率数据与自动化分类技术。本文旨在评估归一化差异植被指数（Normalized Difference Vegetation Index，NDVI）与激光雷达（LiDAR）的应用关联，以分析城市植被覆盖情况及局地景观变化。研究发现，将航空摄影测量影像的高空间分辨率与近红外波段的光谱响应相结合，可实现植被的精准识别。该技术能够完成特定区域现象的记录、可视化与分析，通过地图、图表等表征手段助力空间关系的探究；尤其可用于模拟潜在空间情景，进而实现干预措施评估与预测，为相关项目、拟议法案及城市参数制定提供辅助支撑。