Remote Sensing Technology and Application, Volume. 40, Issue 4, 1052(2025)

MApplication Progress and Prospect of Remote Sensing Technology in Soil Organic Matter Inversion and Mapping

Ming SHI1,2, Yang SHI1,3, Fei LIN1,3, Xia JING2, Yimin HU1,3、*, and Bingyu LI2
Author Affiliations
  • 1Institute of Intelligent Machines, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei230031, China
  • 2College of Geomatics, Xi’an University of Science and Technology, Xi’an710054, China
  • 3Agriculture Engineering Laboratory of Anhui Province, Hefei230031, China
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    Figures & Tables(6)
    Statistics of publications related to remote sensing of soil organic matter from 2002 to 2023
    Study area and sensor distribution
    • Table 1. Often used for multispectral data of soil organic matter content inversion and mapping

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      Table 1. Often used for multispectral data of soil organic matter content inversion and mapping

      数据利用波段空间分辨率/m波段范围/μm重访周期/d类型
      Landsat 5 TMB、G、R、NIR、SWIR300.45~2.3516星载
      Landsat 7 ETM+B、G、R、NIR、SWIR300.45~2.3516星载
      Landsat 8 OLIB、G、R、NIR、SWIR300.45~2.316星载
      Sentinel-2 MSIB、G、R、VRE、NIR、SWIR100.44~2.195星载
      Sentinel-3 OLCINIR、SWIR3000.4~1.022星载
      Spot-5 HRGG、R、NIR、MIR10(2.5)0.5~1.755星载
      GF-1 WFVB、G、R、NIR160.45~0.892星载
      GF-6 MSSB、G、R、NIR80.45~0.894星载
      BJ-1 CCDG、R、NIR320.523~0.92星载
      HJ-1 CCDB、G、R、NIR、MIR300.43~0.92星载
      DJ-M600 SequoiaG、N、VRE、NIR0.53~0.81--机载
      ADC SnapG、R、NIR0.52~0.92--机载
    • Table 2. Often used for spaceborne and airborne hyperspectral data for soil organic matter content inversion and mapping

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      Table 2. Often used for spaceborne and airborne hyperspectral data for soil organic matter content inversion and mapping

      数据波段数空间分辨率/m波段范围/nm国家类型
      GF-5 AHSI33030400~2 500中国星载
      EO-1 Hyperion22030400~2 500美国星载
      EOS AM-1 MODIS36250/500/1 000405~14 385美国星载
      PRISMA PRISMA HSI23930400~2 500意大利星载
      珠海1号 OHS25610400~1 000中国星载
      OMISΙ127460~12 500中国机载
      CASI-1500/SASI-600388380~2 450中国机载
      GaiaSky-Mini2-VN1 440(1X)400~1 000中国机载
      pika L281400~1 000美国机载
      Micro-Hyperspec A/X325400~1 000美国机载
    • Table 3. Near-earth hyperspectral instrument information is commonly used for soil organic matter content inversion and mapping

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      Table 3. Near-earth hyperspectral instrument information is commonly used for soil organic matter content inversion and mapping

      数据光谱分辨率/nm是否成像波段范围/nm国家
      ASD FieldSpec 33(350~1 000)、10(1 000~2 500)350~2 500美国
      ASD FieldSpec 43 (@700)、8(@1 400/2 100)350~2 500美国
      ASD FieldSpec Pro FRTM3.5(350~1 000)、10(1 000~2 500)350~2 500美国
      PSR+35003(@700)、8(@1 500)、6(@2 100)350~2 500美国
      SOC710-VP1.3400~1 000美国
      SVC HR-768350~2 500美国
      Cary 5E 分光光度计175~3 300澳洲
      ASD FieldSpec HH23(@700)325~1 075美国
      ASD FR25003(350~1 000)、10(1 000~2 500)350~2 500美国
      FOSS XDS近红外400~2 500丹麦
      ASD FieldSpec 4 Hi-Res3(@700)、6(@1 400/2 100)350~2 500美国
      ASD QualitySpec Trek3(@700)、9.8(@1 400)、8.1(@2 100)250~2 500英国
      Thermo Nicolet Antaris0.6(@1 250)833~2 630美国
      SVC HR-10243.5(350~1 000)、9.5(1 000~1 850)、6.5(1 850~25 000)350~2 500美国
      GER-IRIS-Ⅲ2(可见光)、4(近红外—短波红外)400~2 500美国
      ISI921VF-5122380~1 080中国
    • Table 4. Environmental factors commonly used for soil organic matter content inversion and mapping

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      Table 4. Environmental factors commonly used for soil organic matter content inversion and mapping

      地形因子参数
      地形因子高程渲染分析水流流向
      坡度收敛指数高程变异系数
      坡向坡度坡长因子河流动能指数
      平面曲率相对坡度位置径流强度指数
      剖面曲率总积水面积坡向正弦
      坡度变率地形位置指数坡向余弦
      地表起伏度潜在太阳辐射比汇水面积
      地表切割深度潜在地下水位深到沟谷距离
      地形粗糙度泥沙输移比水流长度
      气候因子年均温度相对湿度年降水量
      积温太阳辐射量
      其他因子成土母质植被类型土地利用类型
      地貌类型采样点经纬度土壤侵蚀类型
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    Ming SHI, Yang SHI, Fei LIN, Xia JING, Yimin HU, Bingyu LI. MApplication Progress and Prospect of Remote Sensing Technology in Soil Organic Matter Inversion and Mapping[J]. Remote Sensing Technology and Application, 2025, 40(4): 1052

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    Paper Information

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    Received: Jul. 26, 2024

    Accepted: --

    Published Online: Aug. 26, 2025

    The Author Email: Yimin HU (ymhu@iim.ac.cn)

    DOI:10.11873/j.issn.1004-0323.2025.4.1052

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