NASA卫星影像数据
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遥感(remote sensing)是指非接触的,远距离的探测技术。一般指运用传感器/遥感器对物体的电磁波的辐射、反射特性的探测。作为一种重要的对地观测技术,它为我们研究和理解地球表面提供了主要的数据来源。目前遥感数据呈现出高中低分辨率、多光谱、高光谱、SAR、街景及LiDAR激光点云等多源数据共存的情况,为遥感监测及其他多领域应用提供了基本数据保障。 CnOpenData推出的NASA卫星影像数据,主要存档有关地球大气中云、水蒸气和气溶胶相关数据,将地球分成了18×36个网格,再把10×10度的网格分成了2400×2400份,每份的面积为500×500m,其中的数字代表该区域的灯光亮度,可以为相关研究提供有力的数据支持。
Remote sensing is defined as non-contact, long-distance detection technology, which generally refers to the detection of electromagnetic radiation and reflection characteristics of objects via sensors or remote sensors. As an important Earth observation technology, it serves as the primary data source for researching and comprehending the Earth's surface. At present, remote sensing data features the coexistence of multi-source datasets including high-, medium- and low-spatial-resolution data, multispectral, hyperspectral, SAR, street view imagery and LiDAR point clouds, providing fundamental data support for remote sensing monitoring and applications across various fields. The NASA satellite image data launched by CnOpenData mainly archives data related to clouds, water vapor and aerosols in the Earth's atmosphere. It divides the Earth into 18×36 grids, and each 10°×10° grid is further subdivided into 2400×2400 tiles, with each tile covering an area of 500m×500m. The numerical value within each tile represents the light brightness of the corresponding region, which can provide robust data support for relevant research.




