四川水力发电2025，Vol.44Issue(1)：164-167,4.DOI:10.20196/j.cnki.scslfd.20250135
基于遥感信息的灌溉区墒情预测
Prediction of Soil Moisture Conditions in Irrigation Areas Based on Remote Sensing Information
周彦鹏 1苏阳辉2
作者信息
- 1. 陕西省宝鸡市冯家山水库管理局,陕西 宝鸡 721000
- 2. 泾阳县水利局红旗电力抽水站,陕西 咸阳 713700
- 折叠
摘要
Abstract
By analyzing 91 sets of data including temperature,rainfall,vegetation coverage,and soil moisture,the performance of these two models in predicting soil moisture conditions was compared.The results show that the decision tree regression model is more effective in handling complex nonlinear relationships in the data and shows better performance in terms of prediction accuracy.Especially in capturing and interpreting the complex relationships between soil moisture values and environmental factors,the decision tree regression model dem-onstrates higher adaptability and accuracy.This study provides a new perspective for predicting soil moisture conditions in irrigation areas,emphasizing the importance of selecting appropriate prediction models to improve prediction accuracy.The results are not only helpful in guiding agricultural irrigation decisions but also provide valuable references for future research in smart agriculture and sustainable development.关键词
遥感技术/灌溉区/墒情预测/数据处理/决策树回归模型Key words
Remote sensing technology/Irrigation area/Soil moisture prediction/Data processing/Decision tree regression model分类
信息技术与安全科学引用本文复制引用
周彦鹏,苏阳辉..基于遥感信息的灌溉区墒情预测[J].四川水力发电,2025,44(1):164-167,4.
