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在矿产开发与城镇化双重驱动下，资源型县域非粮化风险加剧，威胁粮食产能稳定。本文以迁安市为研究对象，基于2016年、2020年和2024年GF-1影像数据，结合植被指数、多尺度分割与决策树模型，运用非粮化率、空间趋势面及核密度估计等方法开展耕地非粮化识别及时空变化特征研究。结果表明：本文构建的耕地非粮化高精度识别体系总体精度大于91%;研究期内迁安市耕地非粮化面积先升后降，非粮化率由49.38%波动升至53.48%,再降至46.62%;空间格局呈现“东南—西北”向“西南—东北”的结构性变迁，村庄尺度由离散分布转为条带状集群分布；东西方向上由“U”形分布变为“西高东低”分布，南北形成“北高南低”梯度，核密度高值区主要集中于建成区及工矿—城镇复合带，中西部非粮化强度显著高于南部。研究结果可为区域耕地保护、粮食安全保障及土地资源优化配置提供科学依据与决策支撑。
Abstract：The global food security situation is severe, and the non-grain conversion of cultivated land threatens the stability of food production capacity.Driven by the dual forces of mineral resource exploitation and urbanization, the risk of non-grain conversion in resource-based counties has intensified.Taking Qian′an City as the research object, based on GF-1 satellite image data of 2016,2020 and 2024,combined with vegetation indices, multi-scale segmentation and decision tree model, this paper adopts methods including non-grain conversion rate calculation, spatial trend surface analysis and kernel density estimation to accurately identify the spatiotemporal change characteristics of non-grain conversion at the county scale.The results are shown as follows.(1) The constructed high-precision identification system for non-grain conversion of cultivated land can accurately distinguish grain crops from non-grain land, with an overall accuracy exceeding 91%.(2) During the study period, the process of non-grain conversion of cultivated land in Qian′an City exhibited significant phased characteristics: the area first increased and then decreased, and the non-grain conversion rate fluctuated from 49.38% to 53.48%,then decreased to 46.62%.(3) The spatial pattern underwent a structural change from "southeast-northwest" to "southwest-northeast";at the village scale, it shifted from scattered distribution to strip-shaped agglomeration.In the east-west direction, the pattern changed from "U-shaped" to "high in the west and low in the east",while a "high in the north and low in the south" gradient formed in the north-south direction.High-value kernel density areas were mainly concentrated in built-up areas and the industrial-mining-urban composite belt, and the intensity of non-grain conversion in the central and western regions is significantly higher than that in the southern region.The findings of this study can provide a scientific basis and decision support for regional cultivated land protection, food security assurance, and optimal allocation of land resources.
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基本信息:
中图分类号:P237;F323.211
引用信息:
[1]程甜甜,张贵军,张蓬涛,等.基于GF-1的迁安市耕地非粮化识别及时空变化特征研究[J].地理与地理信息科学,2026,42(04):36-44.
基金信息:
河北省社会科学基金项目(HB23YJ015)
2026-06-08
2026-06-08
2026-06-08