基于国土资源大数据的高标准农田动态监测研究
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张明昭
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锦州市数据中心，辽宁锦州，121000
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摘要：建设高标准农田是保障国家粮食安全、推进农业现代化的重要举措，开展动态监测能帮着评估建设成效、优化资源配置。目前，传统监测主要靠人工巡查和统计报表，数据更新慢、空间精度不高，没法覆盖全周期，这些问题让精细化管理需求得不到满足。国土资源大数据集合了遥感影像、土地利用现状、耕地质量等级、地理国情普查等多源异构数据，为解决上述问题提供了新的技术方向。本文依托国土资源大数据体系，搭建高标准农田动态监测框架，重点用时序遥感影像与耕地质量评价模型，制定出一套结合变化检测与指标反演的监测方法。
关健词：动态监测；高标准农田；国土资源大数据 |
Research on Dynamic Monitoring of High-standard Farmland Based on Land Resources Big Data
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Mingzhao Zhang
Jinzhou Data Center,Jinzhou Liaoning 121000,China
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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.
Keywords : Dynamic Monitoring；High-Standard Farmland；Land Resources Big Data
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