多源遥感数据支撑耕地资源动态监测与保护研究

Multi-source remote Sensing Data to Support Dynamic Monitoring and Protection of Cultivated Land Resource Research

摘要

耕地资源精准动态监测是国土空间管控的技术基础，单一传感器的物理缺陷造成大量监测盲区长期存在，影响耕地保护政策有效落实，多源遥感数据融合技术把光学影像高光谱分辨率和合成孔径雷达全天候穿透能力结合起来，在时序连续性和空间精度上取得实质性的突破，针对几何校正误差累积、SAR相干斑噪声干扰、多源数据时空配准失配等核心技术瓶颈，系统性的预处理、融合、分析链条是耕地面积变化提取、种植结构识别、撂荒判定、质量退化评估的方法论前提，在此基础上，变化图斑预警、永久基本农田边界核查、占补平衡监管技术闭环，给耕地保护管理体系智能化转型提供了一个可以操作的实施框架。

Abstract

Precise dynamic monitoring of cultivated land resources is the technical foundation for territorial space control. The physical defects of a single sensor have led to the long-term existence of numerous monitoring blind spots, affecting the effective implementation of cultivated land protection policies. The multi-source remote sensing data fusion technology combines the high spectral resolution of optical images with the all-weather penetration capability of synthetic aperture radar, achieving substantial breakthroughs in temporal continuity and spatial accuracy. For core technical bottlenecks such as the accumulation of geometric correction errors, SAR speckle noise interference, and spatio-temporal registration mismatch of multi-source data, a systematic preprocessing, fusion, and analysis chain serves as the methodological prerequisite for extracting changes in cultivated land area, identifying planting structures, determining abandoned land, and assessing quality degradation. On this basis, The technical closed loop of early warning of changing patches, verification of the boundaries of permanent basic farmland, and supervision of the balance between occupation and compensation provides an operational implementation framework for the intelligent transformation of the farmland protection management system.

关键词

多源遥感 / 耕地动态监测 / 数据融合 / 撂荒识别 / 耕地保护

Key words

multi-source remote sensing / dynamic monitoring of cultivated land / data fusion / abandoned farmland identification / cultivated land protection

参考文献

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