Since the 1960s, remote sensing (as an innovative, comprehensive, and interdisciplinary academic area) has been adopted in a wide range of disciplines related to Earth observation, including hydrology, ecology, oceanography, glaciology, geology, military, intelligence, business, economy, and planning [1] – [3] . The constant development of the remote sensing image acquisition technology now allows for the collection of a wide variety of images with different characteristics and resolutions, obtained by remote sensing instruments mounted on spacecraft or aircraft platforms. These images record some type of signal or energy measured from the Earth’s surface, which depends on the type of sensor used.

中文翻译：

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遥感大数据：信息提取模型开发的演变

自 1960 年代以来，遥感（作为一个创新的、综合性的、跨学科的学术领域）已被广泛应用于与地球观测相关的学科，包括水文学、生态学、海洋学、冰川学、地质学、军事、情报、商业、经济, 和规划 [1] – [3] 。随着遥感图像采集技术的不断发展，现在可以收集各种具有不同特征和分辨率的图像，这些图像由安装在航天器或飞机平台上的遥感仪器获得。这些图像记录了从地球表面测量的某种类型的信号或能量，这取决于所使用的传感器类型。