предыдущий|следующий

Progress in quantitative inversion of vegetation ecological remote sensing parameters

  • role： First author第一作者
  • Affiliation：

    School of Earth Science and Mapping Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China

    Satellite Environment Application Center, Ministry of Ecology and Environment, Beijing 100094, China

  • Email：skdzyh@163.com
  • Introduction：赵燕红，1993年生，女，博士研究生，研究方向为摄影测量与遥感。E-mail： skdzyh@163.com
ZHAO Yanhong12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Satellite Environment Application Center, Ministry of Ecology and Environment, Beijing 100094, China

    Chinese Research Academy of Environmental Sciences, Beijing 100012, China

  • Email：houpcy@163.com
  • Introduction：侯鹏，1978年生，男，正高级工程师，研究方向为生态评估与环境遥感应用。E-mail： houpcy@163.com
HOU Peng25*,  
  • Affiliation：

    School of Earth Science and Mapping Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China

JIANG Jinbao1,  
  • Affiliation：

    State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

JIANG Yun3,  
  • Affiliation：

    Satellite Environment Application Center, Ministry of Ecology and Environment, Beijing 100094, China

    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

ZHANG Bing24,  
  • Affiliation：

    Satellite Environment Application Center, Ministry of Ecology and Environment, Beijing 100094, China

    Chinese Research Academy of Environmental Sciences, Beijing 100012, China

BAI Junjun25,  
  • Affiliation：

    Satellite Environment Application Center, Ministry of Ecology and Environment, Beijing 100094, China

    College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

XU Haitao24

реферат

Vegetation parameters are the hotspots and difficulties in the quantitative inversion of ecological remote sensing, and they are also the basic parameters of ecosystem research, as well as the basic parameters of ecosystem research. They have an important impact on the structure, process and function of ecosystems, and have always been hot issues in ecology and remote sensing technology research. However, in actual work, the relevant parameters of vegetation are not obtained through direct interpretation of remote sensing data, but based on the spectral characteristics of vegetation to establish a data model for quantitative inversion calculation, and there are obvious differences in the retrieval results of different inversion methods. Based on extensive reading of publicly published documents at home and abroad, this paper summarizes the existing vegetation ecological remote sensing parameters into three categories: physical, biochemical, energy and functional categories, and systematically sorts out the main quantitative inversion methods of each category of parameters’ advantages and disadvantages and applicability, and the current deficiencies and future development trends are discussed. And this article selects representative common vegetation parameters to introduce one by one, the physical vegetation ecological remote sensing parameters mainly introduce the research progress of vegetation coverage, biomass, leaf area index, tree height, etc. The biochemical group vegetation ecological remote sensing parameters mainly introduce the research progress of vegetation water content, chlorophyll content and photosynthetic capacity. Energy Vegetation ecological remote sensing parameters introduce the research progress of vegetation with Photosynthetically Active Radiation and Absorption of Photosynthetically Active Radiation, and functional vegetation ecological remote sensing parameters mainly introduce the research progress of vegetation productivity and carbon exchange capacity. Although positive progress has been made in the research on the quantitative inversion of vegetation ecological remote sensing parameters, due to the constraints of the ground sensor observation performance indicators and the insufficient knowledge of the vegetation growth and change process, there are still some problems in the research of vegetation ecological remote sensing parameters that need to be resolved. The main problems that exist include the decomposition of mixed pixels, ill-conditioned inversion, error transfer in the application of physical models, the scale effect and spatial variability of data fusion, and the determination of the optimal scheme for model coupling. Generally speaking, the inversion methods of vegetation parameters have been developing in the direction of multivariate methods, multi-method fusion, and continuous improvement of various methods. Data sources are becoming more and more abundant, which can better realize mutual verification and information complementarity between data, and solve the problems of lack of vegetation characteristic information faced in the process of parameter inversion. High-precision vegetation ecological remote sensing parameter products can better study new hot issues related to vegetation carbon sources, carbon sinks, carbon use efficiency, carbon cycle, vegetation and phenology.By comparing the inversion methods of different vegetation ecological remote sensing parameters and the relationship between different vegetation ecological remote sensing parameters, the difficulties and scientific problems existing in the vegetation quantitative remote sensing inversion are discussed, which is convenient for research and technical personnel in related fields.

ключеви́че слова́

Land surface vegetation;ecological remote sensing;inversion method;vegetation parameters;model method

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