DOI: 10.66106/nkyyax.20250207 ISSN: 3081-1384

基于国土资源大数据的高标准农田动态监测研究（Research on Dynamic Monitoring of High-standard Farmland Based on Land Resources Big Data）

张明昭 Mingzhao Zhang
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Abstract：The construction of high-standard farmland serves as a crucial measure for ensuring national food security and advancing agricultural modernization, with dynamic monitoring playing a pivotal role in evaluating construction effectiveness and optimizing resource allocation. Currently, traditional monitoring methods primarily rely on manual inspections and statistical reports, presenting significant challenges such as delayed data updates, insufficient spatial accuracy, and difficulties in achieving full-cycle coverage, which fail to meet the demands of refined management under new conditions. The integration of remote sensing imagery, current land use status, cultivated land quality grades, and national geographic surveys into land resources big data offers a novel technical pathway to address these issues. Based on the land resources big data system, this study establishes a dynamic monitoring framework for high-standard farmland, focusing on sequential remote sensing imagery and cultivated land quality assessment models to develop a monitoring approach that combines change detection and indicator inversion.

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