资源与产业 ›› 2023, Vol. 25 ›› Issue (4): 150-158.DOI: 10.13776/j.cnki.resourcesindustries.20230322.001

• 非主题来稿选登 • 上一篇    

基于星载遥感技术的森林资源与森林生态状态监测应用综述

王晋1,陈倩勋1,3,韩萍2,陈飞勇1,秦瑛蔚3,郭莲秀4,王慧欣3,徐景涛3,杜玉凤1   

  1. (1.山东建筑大学 资源与环境创新研究院,山东 济南 250101;2.山东城市建设职业学院 环境工程系,山东 济南 250103;3.山东建筑大学 市政与环境工程学院,山东 济南 250101;4.山东国立环境检测科技股份有限公司,山东 日照 267800)
  • 收稿日期:2022-09-30 修回日期:2023-03-01 出版日期:2023-08-20 发布日期:2023-09-14
  • 通讯作者: 杜玉凤,博士、讲师,主要从事资源与环境保护研究。E-mail:344860165@qq.com
  • 作者简介:王晋,博士,主要从事环境遥感应用、水资源可持续利用与生态规划研究。E-mail:wangjinsdjz@163.com
  • 基金资助:
    国家自然科学基金青年科学基金项目(42107496);2022年教育部产学合作协同育人项目(220403874222226);山东省重大科技创新工程(一事一议)(No0031504);山东省高等学校“青创人才引育计划”(QCTD202108);山东建筑大学博士科研基金项目(X20192Z)。

OVERVIEW OF FOREST RESOURCES AND FOREST ECOLOGICAL MONITORING BASED ON SPACEBORNE REMOTE SENSING

WANG Jin1, CHEN Qianxun1,3, HAN Ping2, Chen Feiyong1, QIN Yingwei3,GUO Lianxiu4, WANG Huixin3, XU Jingtao3, Du Yufeng1   

  1. (1.Research Institute of Resources and Environment Innovation, Shandong Jianzhu University, Jinan 250101, China;
    2.Department of Environmental Engineering, Shandong Urban Construction Vocational College,Jinan 250101, China;
    3.School of Municipal and Environmental Engineering, Shandong Jianzhu University,Jinan 250101, China;
    4.Shandong Guoli Environmental Testing Technology Co, Ltd, Rizhao 267800,China)
  • Received:2022-09-30 Revised:2023-03-01 Online:2023-08-20 Published:2023-09-14

摘要: 随着生态文明建设的深入开展,我国对森林资源和森林生态状态的重视程度日益提高,对森林资源与森林生态状态监测评价的时效性、连续性、多元性等要求也不断提升,从而为星载遥感技术在森林资源和森林生态状态监测中的应用提供了更好的发展契机。如今,星载遥感技术作为一种高效的森林资源与森林生态状态监测手段已被广泛应用于森林资源调查、森林生态环境监测评价、森林资源经营管理等多个方面,其获取的森林生态信息可以为森林资源管理提供长时间序列且空间连续的详细数据和参考依据。本文根据已有遥感研究,将森林资源与森林生态状态监测中的星载遥感技术归纳为光学遥感、微波遥感、热红外遥感3类,从后向散射系数、极化SAR(合成孔径雷达)技术、InSAR(合成孔径雷达干涉测量)技术、差分InSAR技术、极化干涉InSAR技术5个方面探究基于SAR的森林资源参数提取方法、原理及其应用,并介绍了运用星载遥感技术进行森林生态状态时空变化规律分析的关键界面(林冠大气界面)和代表性参数(归一化植被指数)。研究结果表明:1)从指标体系构成的科学性、合理性,以及指标反演的可行性等方面出发,构建森林遥感生态指数指标体系对于准确反映森林生态系统的生态状况至关重要;2)通过集成各种监测系统优势,构建空天地遥感一体化的森林生态系统智能监测平台,可以提高对森林资源参数的反演精度;3)使用星载遥感技术获取的森林生态监测信息能够为森林资源碳汇管护提供基础数据与重要参考;4)精准取得森林树冠、森林地表的相位,建立森林树高补偿模型是未来树高反演课题的重要研究方向。

关键词: 星载遥感技术, 森林资源, 森林生态状态, InSAR, 植被指数

Abstract: As ecological civilization construction goes forward, China increasingly pays more attentions on forest resources and forest ecological status, requiring a timely, continuous and diversified assessment of monitoring of forest resources and forest ecological status, which provides a good development opportunity for usage of spaceborne remote sensing in monitoring forest resources and forest ecological status. Spaceborne remoting sensing has been widely used as an effective monitoring of forest resources and forest ecological status in surveying forest resources, assessing forest ecoenvironment and operating forest business. Forest ecological information acquired amid the process can provide longterm and continuous serial data for managing forest resources. Spaceborne remote sensing application technology used in monitoring of forest resources and forest ecological status can be divided into three categories, optical, microwave and thermal infrared.This paper explores SAR-based forest resources parameters extraction method, principle and application from backscattering coefficient, polarimetric SAR, InSAR, differential InSAR and polarimetric interferometric InSAR, and introduces the key interfaces during studying forest temporal-spatial changing rules via spaceborne remote sensing(canopy atmosphere interface)and representative parameters (normalized vegetation index).This paper presents suggestions on constructing forest remote sensing ecological indictor system on the basis of scientificity and rationality of index system and the feasibility of index inversion, on constructing integrated landspaceborne forest ecosystem smart monitoring platform through integrating all monitoring systems to increase reverting accuracy of forest resources parameters, on obtaining forest ecological monitoring information to provide basic data and important references for forest resources carbon sink management, on precisely obtaining the phase of forest crown and ground, constructing forest height compensation model for future inverting tree height research. 

Key words: spaceborne remote sensing technology, forest resources, forest ecological status, InSAR, vegetation index

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