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A monitoring indicator system for remote sensing of grassland vegetation growth and suitability evaluation - a case study of the Xilingol Grassland in Inner Mongolia, China

机译：草地植被生长遥感评价指标体系及适宜性评价-以内蒙古锡林郭勒草原为例

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摘要

Grassland vegetation growth directly reflects plant growth conditions, and growth processes are an important component of ecological status assessments of grasslands and can provide timely guidance for agricultural production. In this study, the Xilingol Grassland in Inner Mongolia was used as the study area, and a monitoring indicator system for the remote sensing of grassland vegetation growth was established based on 16 days of Moderate Resolution Imaging Spectroradiometer (MODIS) data and ground sampling data, which were used to assess the suitability of the indicator system. A monitoring indicator system for the remote sensing of grassland vegetation that included the modified growth index (MGI)-normalized difference vegetation index (NDVI), MGI-enhanced vegetation index (EVI), growth index (GI)-NDVI, and GI-EVI was established by using the year 2000 as the base year, two vegetation indices and difference and normalized difference methods. A model for estimating the ground growth (g) was then constructed by using expert opinion scoring and the Analytic Hierarchy Process (AHP) to determine the weights of vegetation coverage (c), height (h), and yield (y) in the ground plots, with the model calculated as follows: g=0.2543c+0.1848h+0.5609y. Additionally, the ground growth value was calculated according to the ground growth model, and the values obtained from the remote-sensing indicators in the corresponding region were subjected to a correlation analysis based on this partition. The remote-sensing growth indices suitable for temperate steppe, meadow steppe, and desert steppe regions were GI-EVI, MGI-NDVI, and GI-NDVI, respectively. Finally, vegetation growth in the Xilingol Grassland was evaluated using the optimal remote-sensing GI for each area, and the results indicated that the areas with the greatest growth improvement occurred in the temperate steppe region followed by the meadow steppe region, whereas vegetation growth improvement was insignificant in the desert steppe region. The results of this study have important significance for the economic development and ecological environmental improvement of pastoral and semi-pastoral regions and can be used to determine the optimal use and scientific management of grasslands.
机译：草原植被的生长直接反映了植物的生长条件，生长过程是草原生态状况评估的重要组成部分，可以为农业生产提供及时的指导。在本研究中，以内蒙古锡林郭勒草原为研究区域，并基于16天的中分辨率成像光谱仪（MODIS）数据和地面采样数据，建立了草原植被生长遥感监测指标系统，用于评估指标体系的适用性。草地植被遥感监测指标系统，包括改良生长指数（MGI）-归一化差异植被指数（NDVI），MGI增强植被指数（EVI），生长指数（GI）-NDVI和GI-EVI以2000年为基准年，建立两个植被指数及差值和归一化差值法。然后，使用专家意见评分和层次分析法（AHP）构建估算地面生长（g）的模型，以确定地面上植被的权重（c），高度（h）和产量（y）绘制，模型计算如下：g = 0.2543c + 0.1848h + 0.5609y。另外，根据地面生长模型计算地面生长值，并且基于该分区对从对应区域中的遥感指标获得的值进行相关分析。适用于温带草原，草甸草原和沙漠草原地区的遥感生长指数分别为GI-EVI，MGI-NDVI和GI-NDVI。最后，利用最佳遥感地理信息系统对锡林郭勒草原的植被生长进行了评估，结果表明生长改善最大的地区发生在温带草原地区，其次是草地草原地区，而植被生长状况有所改善。在沙漠草原地区微不足道。研究结果对牧区和半牧区的经济发展和生态环境的改善具有重要意义，可用于确定草地的合理利用和科学管理。

著录项

  • 来源
    《International journal of remote sensing》 |2015年第20期|5105-5122|共18页
  • 作者

    Yang Xiuchun; Xu Bin; Zhu Xiaohua; Jin Yunxiang; Li Jinya; Zhao Fen; Chen Shi; Guo Jian; Ma Hailong; Yu Haida;

  • 作者单位

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China|Shangqiu Normal Univ, Coll Environm & Planning, Shangqiu 476000, Peoples R China;

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China;

    Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China;

    Chinese Acad Sci, Ecoenvironm Sci Res Ctr, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China;

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China;

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China;

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China;

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China;

    Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agri Informat, Minist Agr, Beijing 100081, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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