USE OF MULTISPECTRAL SENSORS WITH HIGH SPATIAL RESOLUTION FOR TERRITORIAL AND ENVIRONMENTAL ANALYSIS
USE OF MULTISPECTRAL SENSORS WITH HIGH SPATIAL RESOLUTION FOR TERRITORIAL AND ENVIRONMENTAL ANALYSIS
复制标题
使用具有高空间分辨率的多光谱传感器进行领土和环境分析
DOI：
--
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
F. Radicioni
中科院分区：
文献类型：
--
作者：
Raffaella Brigante;F. Radicioni
由于人类活动越来越多地涉及自然环境，土地受到各种变化的影响，因此有必要进行土地规划，以确保对社区有利的可持续空间组织。大多数变化涉及城市和自然地区。如果要分析人类活动与自然环境之间的关系，掌握有关这些变化的最新信息是很重要的。这类信息可通过地理信息系统中的航空和/或卫星图像获得，不同类型的数据被纳入其中，用于进行空间分析。新的遥感卫星能够获取若干光谱波段的高分辨率图像，这些图像结合在一起，提供关于土地覆盖的信息，如植被或水的存在。应用范围非常广泛：例如，可以利用不同时期的图像分析农村地区的植被状况，或评估土地的变化。本文件报告了两项领土应用：第一项涉及使用不同时期的高空间分辨率卫星和航空图像对城市地区土地使用的变化;另一项涉及检测到瞬时海岸线的沿海地区。对这些图像应用了自动探测植被和水以及自动多光谱分类的算法。关键词：环境分析，土地测量，遥感，地理信息系统，卫星图像。
The variations to which the land is subject caused by human activities that increasingly involve the natural environment make territorial planning necessary to ensure a sustainable organization of space that is beneficial to the community. The most changes concern both urban and natural areas. Having updated information on these changes is important if one wishes to analyze the relationships between human activities and the natural environment. Such information may be obtained by means of aerial and/or satellite images in GIS systems, into which different types of data are integrated for performing spatial analysis. The new satellites for remote sensing allow the acquiring of high-resolution images in several spectral bands which, combined together, provide information on land cover, such as vegetation or the presence of water. The applications are numerous: for example, it is possible to analyze the state of the vegetation in rural areas, or assess changes in the land using images from different time periods. This paper reports two territorial applications: the first concerning changes in land use in an urban area using high-spatial-resolution satellite and aerial imagery from different periods; the other regarding a coastal area in which the instantaneous shoreline has been detected. Algorithms for automatic detection of vegetation and water and automatic multispectral classification have been applied to these images. Key-words: Environmental analysis, Land surveying, Remote sensing, GIS, satellite image.