WANG Wei-min, SUN Xiao-min, ZHANG Ren-hua, et al. The Simulation Analyze of the Effect of Surface Reflective Spectrum on the Retrieval of Water Vapor with MODIS NIR Data[J]. Journal of Remote Sensing, 2005, (1): 8-15. DOI: 10.11834/jrs.20050102.
The Simulation Analyze of the Effect of Surface Reflective Spectrum on the Retrieval of Water Vapor with MODIS NIR Data
Based on the near infrared radiative transfer theory
the retrieval method of precipitable water vapor (PWV) with MODIS near infrared band data is analyzed under the simulation of radiative transfer model
MODTRAN. The effect of surface nonlinear reflective spectrum on PWV estimation is emphasized on. Both two bands ratio method and three bands ratio method are taken into account. The study indicates that the error due to the surface nonlinear reflective spectrum is very large if the reflectance ratio of water vapor band to atmospheric windows band is not equal to 1.The error is proportional to the ratio of transmittance ratio between these two bands. The ratio of band reflectance is calculated for hundreds kinds of surface material such as rocks
minerals
soils
vegetation and water in Johns Hopkins University spectral library. Most of the reflectance ratios have a considerable difference with 1.And the difference from 1 of two bands ratio method is smaller than three bands method. That indicates three bands method is predominant over two bands method. The coefficients used in three bands method is recalculated based on the spectral library. The result shows that their coefficients should be gained from the regression of whole spectral library and the sum of coefficients should be equal to 1.
LI Xiaoyao 中国林业科学研究院资源信息研究所;国家林业和草原局 林业遥感与信息技术重点实验室
LI Xiaoming 中国科学院空天信息创新研究院
相关机构
Key Laboratory of National Forestry and Grassland Administration on Ecological Hydrology and Disaster Prevention in Arid Regions, National Forestry and Grassland Administration
Northwest Surveying and Planning Institute of National Forestry and Grassland Administration
Key Laboratory of Forestry Remote Sensing and Information System, National Forestry and Grassland Administration
Institute of Forest Resource Information Techniques, Chinese Academy of Forestry
Aerospace Information Research Institute, Chinese Academy of Sciences