Effect of soil moisture and crop cover in remote sensing

被引:7
|
作者
Singh, D
Mukherjee, PK
Sharma, SK
Singh, KP
机构
[1] Dept. of Electronics Engineering, Institute of Technology, Banaras Hindu University
关键词
D O I
10.1016/0273-1177(95)00291-X
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
An investigation with moist soil covered by narrow leaf crop at different stages of growth for establishing relation with scattering/reflection coefficient for both like polarizations (i.e. HH-pol and VV-pol) has been done. There is a linear relationship between crop covered soil moisture with scattering/reflection coefficient. Using linear relationship a theoretical model was proposed. The results from the model have been compared with the observed values. In this model, scattering/reflection coefficient was taken as dependent variable and percentage soil moisture (PSM) as independent variable. Regression parameters were obtained using the regression analysis which shaw that the brightness temperature at X-band depends significantly on the polarization that is chosen for receiving channel. The VV-pol is more sensitive to changes in the soil moisture, whereas, the contribution of crop morphology was more dominant near nadir for HH-pol. The calculated values show that the scattering increases as the PSM increases, whereas, observed values show no significant trend worth any conclusion.
引用
收藏
页码:63 / 66
页数:4
相关论文
共 50 条
  • [21] Remote sensing applications to hydrology: Soil moisture
    Jackson, TJ
    Schmugge, J
    Engman, ET
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 1996, 41 (04): : 517 - 530
  • [22] STUDY OF MICROWAVE REMOTE SENSING OF THE SOIL MOISTURE
    赵柏林
    韩庆源
    李慧心
    [J]. Science China Chemistry, 1986, Ser.B.1986 (01) : 57 - 66
  • [23] Soil Moisture Remote Sensing across Scales
    Rodriguez-Fernandez, Nemesio
    Al Bitar, Ahmad
    Colliander, Andreas
    Zhao, Tianjie
    [J]. REMOTE SENSING, 2019, 11 (02)
  • [24] Estimating fractional cover of crop, crop residue, and soil in cropland using broadband remote sensing data and machine learning
    Yue, Jibo
    Tian, Qingjiu
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2020, 89
  • [25] Microwave remote sensing of soil moisture for estimation of soil properties
    Mattikalli, NM
    Engman, ET
    Jackson, TJ
    [J]. IGARSS '97 - 1997 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS I-IV: REMOTE SENSING - A SCIENTIFIC VISION FOR SUSTAINABLE DEVELOPMENT, 1997, : 1093 - 1095
  • [26] Measuring crop residue cover using remote sensing techniques
    Daughtry, CST
    McMurtrey, JE
    Chappelle, EW
    Hunter, WJ
    Steiner, JL
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 1996, 54 (1-2) : 17 - 26
  • [27] Remote sensing to monitor cover crop adoption in southeastern Pennsylvania
    Hively, W. D.
    Duiker, S.
    McCarty, G.
    Prabhakara, K.
    [J]. JOURNAL OF SOIL AND WATER CONSERVATION, 2015, 70 (06) : 340 - 352
  • [28] Review of Crop Residue Fractional Cover Monitoring with Remote Sensing
    Zhang Miao
    Li Qiang-zi
    Meng Ji-hua
    Wu Bing-fang
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31 (12) : 3200 - 3205
  • [29] Predicting Habitat Properties Using Remote Sensing Data: Soil pH and Moisture, and Ground Vegetation Cover
    Haugen, Hanne
    Devineau, Olivier
    Heggenes, Jan
    Ostbye, Kjartan
    Linlokken, Arne
    [J]. REMOTE SENSING, 2022, 14 (20)
  • [30] Soil moisture estimation under a vegetation cover: Combined active passive microwave remote sensing approach
    Chauhan, NS
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (05) : 1079 - 1097