Volume XLII-4/W4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W4, 259-263, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W4-259-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W4, 259-263, 2017
https://doi.org/10.5194/isprs-archives-XLII-4-W4-259-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  27 Sep 2017

27 Sep 2017

EVALUATION OF MICROWAVE VEGETTION INDEX (MVI) IN MULTI-FREQUENCY AND MULTI-ANGLE

S. Talebi1, J. Shi1, T. Zhao1, Y. Li2, X. Chuan1, and L. Chai3 S. Talebi et al.
  • 1State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. Beijing 100101, China
  • 2Beijing City University, Beijing, 100083, China
  • 3State Key Laboratory of Remote Sensing Science, School of Geography and Remote Sensing Science, Beijing Normal University, Beijing 100875, China

Keywords: Microwave Vegetation Index, Matrix Doubling Model, Optical Depth

Abstract. Microwave portion of the electromagnetic spectrum are effective for observations of vegetation not only to leaf but also woody parts of vegetation. Specifically, microwave emissivity varies strongly with surface roughness, polarization, look–angle and water content. Microwave Vegetation Index (MVI) is one of the microwave indexes that are based on zero-order model. The zero order models applicable when the scattering contribution with in the vegetation is negligible. In this paper MVI in different frequencies (Base on WCOM project) and different angles (Base on SMOS data) are calculated by Matrix Doubling model to take in to account multi-scattering effects within the vegetation. Then because MVI is depends on vegetation information we tried to analysis its behaviour in different densities of corn canopy by comparing to vegetation optical depth. The result shows linear relationship with height correlation between MVI and effective optical depth. So it can be a useful index in vegetation study for future satellite mission as WCOM.