Scattering And Rice Paddy Fields Of Methane Emission Evaluation Method Research

China’s per capita arable land area is only the1/3of the world’s average, but the high-yield rice solves the problem of feeding China’s1.3billion people largely. Therefore, the growing condition and yield of rice are of great significance for China to ensure food security and maintain social peace and stability to adapt population growth and economic development.On the othe hand, rice plays the role of green house emission in the global warming, and its methane emission makes up the global overall emission’s12%to20%. Since the late80s of last century, China has always been considered to be one of the major emitters of global green house gases. So the accurate measurement of methane emission has important implications for China’s diplomatic negotiations on environment issues and rice production.For its ability of day/night operation in all weathers, microwave becomes the best choice for dynamic rice monitoring and yield forecast. The content of this thesis takes rice scattering measurement experiment and paddy field methane measurement as its center. We use remote sensing data to conduct dynamic monitoring of rice growth and surface conditons.Frist of all, we carried out several rounds of scattering measurements in the experiment base by the use of landbased scattering measurement system. Based on the multi-band, multi-polarization and multi-temporal measurement data and sampled data, we studied the the relation between backscattering coefficient and incident angle, frequency, polarization and time, and analyzed the correlation between backscattering coefficient and rice parameters. On this basis, we established several empirical formulas to conduct parameter inversion, and achieved a very good result. Besides, we used MIMICS to simulate the rice backscattering coefficient and achieved good results in the S-band and C-band.Together with the scattering experiments in2011, we measured the methane emission of the paddy fields and drawed the curve of methane emission of the whole growing season. Based on the measurement data, sampled data and meteorological data, we used mature methane flux emission model (DNDC model) to simulate the methane emission in2011.