Study On Spatial Distribution Of Soil Organic Matter In The County Area

The contradiction between human and land in our country has always been an important issue.The protection of cultivated land resources is a strategic decision that the Party Central Committee and the State Council have been strictly implementing.In recent years,many scholars at home and abroad have begun to shift the research focus from the study of the dynamic changes in the amount of cultivated land.The monitoring of the quality of cultivated land was studied.Soil organic matter is a necessary indicator to measure the soil fertility and land degradation.The distribution of soil organic matter in Zhucheng City of Shandong Province is researched in this paper,and we analyze the sampling data,and use the geoscience software combined with ordinary Kriging interpolation method to map the distribution of soil organic matter.Images and further use of Landsat8 remote sensing images combined with DEM data to conduct a relatively comprehensive analysis,extract the main factors affecting soil surface organic matter,establish the comprehensive prediction of soil remote sensing model,and produce inversion analysis.This paper mainly studies the results:(1)Conduct general descriptive statistics and KS goodness-of-fit sample tests on soil or ganic matter data of Zhucheng in 2011,2013,and 2015,and learned that three years of soil or ganic matter data meet the standard normal distribution for three years.The amount of soil or ganic matter is in the middle-lower level,and the content of soil organic matter has increased from 2011 to 2015.The implementation of a large number of arable land protection policies has improved the soil quality level of Zhucheng.In the analysis of semi-variance analysis software,the soil organic matter nugget value of three years is relatively close to 1,indicating that the error caused by the variation analysis within the minimum spacing is small.The semi-varia nce analysis of soil organic matter data shows that the ratio of the base station values is relatively large,indicating that the spatial auto-correlation of soil organic matter data in Zhucheng is relatively weak,and the human activities such as farming system and fertilization conditions have a great influence on the distribution of soil organic matter.(2)According to the spatial distribution map of soil organic matter obtained by ordinary Kriging interpolation method,it can be known that the spatial distribution of soil organic matter in the three years of 2011,2013,and 2015 is not significantly changed.Comprehensive three-year interpolation map shows that the city The difference of soil organic matter is obvious.The content of soil organic matter in the central to southwestern areas is relatively high.Affected by human activities,the content of soil organic matter in northern,southern and eastern regions is relatively small.The content of organic matter in the mountainous area is higher than that in the farmland area.Most of the soil organic matter in the agricultural land is between 11-22 g/kg.Fertilization is not accurate and timely,and the decline in soil carrying capacity is the reason for the relative decrease in soil organic matter content.(3)Spectral curves of soils with different organic matter content were observed.It was found that the spectral curves were similar in shape.However,with different organic matter contents,the spectra were different.The higher the organic matter content was,the lower the apparent reflectance was.The highest correlation with soil organic matter is near-infrared waveb and R2,followed by SWIR1 waveband and SWIR2 waveband.Logarithmic and first-order derivative transformations do not significantly increase the correlation of band data to organic data.(4)The SPSS software analysis results show that the high correlation does not mean that the model has high precision and excellent modeling results.For modeling and analysis of soil organic matter data and spectral data of various cities in 2015,the model created by the transformation of the cap can better highlight the important information in the waveband,and the model accuracy,prediction accuracy and stability are better than other models,and are most suitable for prediction.Spatial Distribution of Soil Organic Matter in Zhucheng.(5)For the common Kriging interpolation prediction of soil organic matter distribution and the use of remote sensing image interpretation data modeling to invert the spatial distribution of soil organic matter,compared to the scope of Zhucheng study area,both methods have some errors and data Unreasonable problems,so the combination of the two methods for the study of the spatial distribution of soil organic matter in Zhucheng is the most practical significance.