基于激光雷达的自然资源三维动态监测现状与展望
Current status and prospect of three-dimensional dynamic monitoring of natural resources based on LiDAR
- 2021年25卷第1期 页码:381-402
收稿:2020-08-17,
纸质出版:2021-01-07
DOI: 10.11834/jrs.20210351
移动端阅览
收稿:2020-08-17,
纸质出版:2021-01-07
移动端阅览
激光雷达作为一种主动的三维遥感观测技术,在不同尺度的土地、矿产、森林、草原、湿地、水、海洋等自然资源的三维动态监测中发挥着越来越重要的作用。本文将在简要介绍激光雷达技术发展现状的基础上,重点阐述激光雷达技术在各类自然资源三维动态监测中的应用现状,同时对激光雷达在自然资源调查中的应用潜力和局限性进行综合分析,最后探讨以激光雷达技术为基础的自然资源三维动态监测的未来发展趋势和方向。随着激光雷达技术和平台的不断发展以及激光雷达信息的深入挖掘,将不断促进激光雷达技术在自然资源三维动态监测应用中的纵深发展。然而单一激光雷达数据由于其本身存在的局限性,难以满足自然资源全要素、全流程、全覆盖、高精度、高效率的现代化动态监测的要求,如何将多源、多尺度、多平台遥感数据与人工智能相结合,构建“天—空—地”一体化的自然资源调查监测技术体系,是未来自然资源三维动态监测的发展方向。
Natural resources
as the necessary conditions for human survival and development
play an important role of driving force and main support for achieving high-quality and sustainable economic development
and are also the fundamental carrier for building a beautiful China and deepening the system reform of ecological civilization. Thus it is of great significance for human survival and development to achieve the high-precision and high-efficiency investigation
evaluation and monitoring of various natural resources. As an active three-dimensional remote sensing observation technology
Light Detection and Ranging (LiDAR) is playing an increasingly important role in the three-dimensional dynamic monitoring of multi-scale natural resources
such as land
mineral
forest
grassland
wetland
water
and ocean resources. To better understand the development and application situation of LiDAR in the three-dimensional dynamic monitoring of multi-scale natural resources
in this paper we first briefly introduced the current development status of LiDAR technology
including the review of technological development history of LiDAR and the brief elaboration of different LiDAR platforms (e.g. spaceborne LiDAR systems
airborne LiDAR systems
terrestrial LiDAR systems
etc) and their components. Then we reviewed respectively the application of LiDAR technology in three-dimensional dynamic monitoring of land
mineral
forest
grassland
wetland
water as well as ocean resources
and preliminarily analyzed the potentials and limitations of different LiDAR platforms in the three-dimensional dynamic monitoring of multi-scale natural resources. Based on the above review
we then comprehensively analyzed the potentials and limitations of applying LiDAR in natural resource surveys. The analysis showed that it is no doubt that the LiDAR technology will show the enormous advantages and potential in the three-dimensional dynamic monitoring of multi-scale natural resources in the future
as the fast development of the single photon LiDAR
multispectral LiDAR
hyperspectral LiDAR as well as Unmanned Aerial Vehicle (UAV) LiDAR platform. Certainly
LiDAR technology also demonstrated some limitations in natural resource surveys
which were mainly embodied in the following four aspects: (1) it was difficult for LiDAR technology to provide rich spectral information of natural resource; (2) A wide range of the all-weather and full-coverage LiDAR data normally was inaccessible; (3) The full three-dimensional information of natural resource was hard to be generated from a single LiDAR platform; (4) The data processing and information extraction algorithms of LiDAR were not yet systematic and prefect. Finally
we discussed the future development trend and direction of the three-dimensional dynamic monitoring of natural resources based on LiDAR technology. It is believed that the continuous development in LiDAR hardware and software platforms will continue to promote the in-depth mining of LiDAR data in the applications of three-dimensional dynamic monitoring of natural resources. However
current LiDAR technology still cannot meet the requirements of full-element
full-processes
full-coverage
high-precision and high-efficiency monitoring of natural resources
owing to its shortcoming of lack of spectral information
full three-dimensional information as well as all-weather and full-coverage data. Therefore
how to fuse multi-source
multi-scale
and multi-platform remote sensing data by taking advantages of artificial intelligence to build an integrated natural resource monitoring system is the future direction of three-dimensional dynamic monitoring of natural resources.
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