摘要
城市绿化水平是衡量城市生态环境质量和平衡状况的主要标准,因此,收集城市的绿化信息非常重要。传统的借助人力实地勘察的手段费时费力且数据不准确,成了制约城市绿化建设的瓶颈问题。以TM卫星图像的数据源为线索,辅之以一系列遥感图像的处理方法,如几何校正、图像增强、波段组合、专题信息提取、数据的换算等,适当结合实地踏查,就能准确及时便捷地收集城市的绿化信息,为制定合理科学的城市规划提供依据。
City greenbelt is a main criteria on adjusting and balancing the quality of the ecological environment. Therefore, the collection of city greenbelt information is very important. However, the use of traditional means that surveying the field by people on the spot is not only time-consuming and date inaccurate, but also a bottleneck restricting the development of city greening. TM satellite images to the data sources for clues, complemented by a series of remote sensing imagery processing methods, such as geometric correction, image enhancement, band combination, thematic information retrieval, data conversion, the appropriate combination of field explore, Can accurate and timely collection of a convenient city greening information for offering the development of rational scientific foundation for city planning.
出处
《云南地理环境研究》
2006年第3期25-28,共4页
Yunnan Geographic Environment Research
关键词
遥感
TM图像
城市绿地
植被指数
remote sensing
TM image
green land
vegetation index
