Author: CSDN @ _Yakult_
A profile cross-section graph refers to the acquisition of multiple data points along a line (such as a track, path, or cross-section) in geographic space, and plotting these data points on the same graph in spatial order. In fields such as geosciences, geographic information systems, and remote sensing, profile cross-section maps are often used to show the spatial variation of geographic data acquired along a specific path.
In the high-precision laser altimetry technology, the profile cross-section diagram is used to visualize the change of the terrain or object height data obtained by the laser altimeter with the spatial position. These data are usually expressed as vertical (height) versus horizontal (distance). Profile cross-section diagrams can help us better understand the three-dimensional structure and topographical features of the Earth's surface.
In this article, we will discuss how to use high-precision laser altimetry to map the profile cross-section, combined with the Global Ecosystem Dynamics Investigation (GEDI) data to reveal a new window on the ecological mysteries of the earth. GEDI is a remote sensing project carried out by NASA. It obtains the three-dimensional structure information of the earth's surface through laser altimeter, which provides important data support for the study of global ecosystems.
We will use the Python programming language and associated geographic information processing libraries to process and analyze GEDI data and visualize the spatial variation in height of the Earth's surface by plotting profiled cross-sections. Through this technical analysis, we will gain an in-depth understanding of the complexity and diversity of the earth's surface, thereby providing a deeper understanding for earth science research and ecological protection.
