自然资源遥感2026，Vol.38Issue(2)：12-21,10.DOI:10.6046/zrzyyg.2025026
基于CART-XGBoost模型的松辽平原盐碱地耕作适宜性评价
Assessment of the cultivation suitability of saline-alkali land in the Songliao Plain based on the CART-XGBoost model
摘要
Abstract
Saline-alkali land represents the largest cultivated land reserve in China.Accurately assessing the cultivation suitability of saline-alkali land can facilitate the rapid and effective management of saline-alkali land based on local conditions,thereby promoting the sustainable development of agriculture.Using the Landsat satellite data,this study analyzed the evolutionary pattern of soil salinization in the Songliao Plain between 1985 and 2020.Considering the salinization changes of cultivated areas in the saline-alkali land,this study established the CART-XGBoost model for assessing the cultivation suitability of existing saline-alkali land in the region.The results show that the saline-alkali land in the Songliao Plain covered an area of 3.85×104 km2 in 1985,which was reduced to 2.53×104 km2 by 2020.The CART-XGBoost model yielded an accuracy of above 0.61,representing a 30%improvement in suitability assessment accuracy compared to the global XGBoost model.The cultivation suitability of saline-alkali land was classified into four levels:high suitability,moderate suitability,low suitability,and unsuitability.The saline-alkali land,which is moderately suitable for cultivation,covers the largest area that totals 109 91.18 km2,predominantly distributed in Baicheng,Jilin Province and Daqing,Heilongjiang Province.The saline-alkali land unsuitable for cultivation is primarily distributed in some areas of Anda City,Heilongjiang Province.Overall,the CART-XGBoost model for assessing the cultivation suitability of saline-alkali land provides a scientific basis for the conversion of saline-alkali land into cultivated land.关键词
盐碱地/耕作适宜性评价/XGBoost/松辽平原Key words
saline-alkali land/assessment of cultivation suitability/XGBoost/Songliao Plain分类
信息技术与安全科学引用本文复制引用
陈超群,汤宇磊,郑国庆,吴云霞,戴慧敏..基于CART-XGBoost模型的松辽平原盐碱地耕作适宜性评价[J].自然资源遥感,2026,38(2):12-21,10.基金项目
国家重点研发计划课题"土壤有机碳时空特征、固碳潜力及其驱动机制"(编号:2023YFD1500801)、东北区创基金"黑土有机质变化与生态环境的耦合协调研究"(编号:QCJJ2023-38)及中国地质调查局地质调查项目"黑土地重点区生态地质调查"(编号:DD20230089)共同资助. （编号:2023YFD1500801）
