Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on the methodology of estimating biophysical and biochemical parameters and yield of winter wheat based on Landsat TM images. In order to develop the method of retrieving wheat parameters from remote sensing data, five Landsat TM images re acquired respectively at erecting stage, jointing stage, heading stage, early grain-filling stage and grain-filling stage of winter wheat. Experiment sites' wheat biophysical and biochemical parameters such as biomass, LAI, chlorophyll, nitrogen content and yield re measured. Based on the TM images, vegetation indices such as NDVI, OSAVI, MSAVI EVI, SIPI and NDWI re calculated. Then the correlation coefficients beten wheat parameters and spectral indices of the experiment sites re computed. According to the correlation coefficients, the optimal spectral indices for estimating wheat parameters re determined. The best-fitting method was employed to build the relationship models beten wheat parameters and the optimal spectral indices. Finally, the models re used to estimate wheat biophysical and biochemical parameters and yield based on Landsat TM data. Research results show wheat parameter estimation models possessed more R 2  values than 0.615.
['Yansong Bao', 'Liangyun Liu', 'Jihua Wang']
I am writing a research paper on a idea Estimating Biophysical and Biochemical Parameters and Yield of Winter Wheat Based on Landsat TM Images
[{"from": "human", "value": "I am writing a research paper on a idea Estimating Biophysical and Biochemical Parameters and Yield of Winter Wheat Based on Landsat TM Images"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on the methodology of estimating biophysical and biochemical parameters and yield of winter wheat based on Landsat TM images. In order to develop the method of retrieving wheat parameters from remote sensing data, five Landsat TM images re acquired respectively at erecting stage, jointing stage, heading stage, early grain-filling stage and grain-filling stage of winter wheat. Experiment sites' wheat biophysical and biochemical parameters such as biomass, LAI, chlorophyll, nitrogen content and yield re measured. Based on the TM images, vegetation indices such as NDVI, OSAVI, MSAVI EVI, SIPI and NDWI re calculated. Then the correlation coefficients beten wheat parameters and spectral indices of the experiment sites re computed. According to the correlation coefficients, the optimal spectral indices for estimating wheat parameters re determined. The best-fitting method was employed to build the relationship models beten wheat parameters and the optimal spectral indices. Finally, the models re used to estimate wheat biophysical and biochemical parameters and yield based on Landsat TM data. Research results show wheat parameter estimation models possessed more R 2  values than 0.615."}]