Research on Soil Organic Matter Content of Different Land use Types in Alar Reclamation Area Based on Remote Sensing Images
Soil organic matter is an important indicator of soil fertility,and mapping the spatial distribution of soil organic matter in the Alar reclamation area can better understand its distribution and variation patterns.This research focuses on the Alar Reclama-tion Area.Based on 257 surface soil organic matter contents,the study area is divided into 5 typical land use types using supervised classification method,and 9 different vegetation indices are extracted as modeling factors.The random forest is applied for modeling to compare and analyze soil organic matter content and spatial distribution of different land use types in the study area.The research results indicate that the Random Forest(RF)model has strong predictive ability,with an R2 value of 0.73,an RPD value of 1.87,and an RMSE value of 1.59 g·kg-1 in the modeling set;The R2 value of the validation set is 0.71,the RPD value is 1.91,and the RMSE value is 1.59 g·kg-1 Based on the RF model,the mapping of soil organic matter in the Alar reclamation area is carried out.The spa-tial distribution map of soil organic matter content shows that soil organic matter decreases from farmland soil to peripheral areas,with farmland soil having the highest organic matter content and desert soil having the lowest organic matter content.The organic matter content in forests,grasslands,and construction land shows a trend of high in the west and low in the east.The research results provide scientific basis for improving soil fertility and monitoring soil organic matter in the Alar Reclamation Area.
万方数据
维普
