耕地“非农化”“非粮化”遥感监测

农情监测是指农业生产的状况，通过与农业资源、环境和生产过程相关的一系列数据来反映。传统农业监测手段具有局限性，靠人力外业勘察不仅耗时、耗力、耗财，而且易受外界因素干扰而降低准确率； 农情遥感监测系列产品融合遥感卫星、低空无人机等多种监测方式，利用图像处理、数据分析和机器学习等技术，可以快速、准确、大范围的获取与农业有关的全要素信息，通过多期遥感影像数据叠加对比实现监测区域农业全要素动态监测，从而为农业生产辅助决策提供有力数据服务支撑

Agricultural situation monitoring refers to the assessment of agricultural production status based on a series of data associated with agricultural resources, environment and production processes. Traditional agricultural monitoring approaches suffer from inherent limitations: manual field surveys are not only time-consuming, labor-intensive and cost-intensive, but also vulnerable to external disturbances that compromise their accuracy. The series of agricultural remote sensing monitoring products integrates multiple monitoring modalities such as remote sensing satellites and low-altitude unmanned aerial vehicles (UAVs), and leverages technologies including image processing, data analysis and machine learning. These products can rapidly, accurately and on a large scale acquire comprehensive agricultural information covering all relevant elements, and achieve dynamic monitoring of all agricultural factors in the monitoring area by superimposing and comparing multi-temporal remote sensing image datasets, thereby providing robust data service support for auxiliary decision-making in agricultural production.

搜集汇总

背景与挑战

背景概述

该数据集通过高分辨率卫星影像和AI技术，监测耕地利用变化和农作物分类，支持季度/半年/年度的动态监测，适用于农业监管和决策支持。