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 reflection of agricultural production status via a set of data associated with agricultural resources, environment and production processes. Traditional agricultural monitoring methods have inherent limitations: manual field surveys are not only time-consuming, labor-intensive and cost-intensive, but also prone to interference from external factors, thereby reducing monitoring accuracy. A series of agricultural situation remote sensing monitoring products integrate multiple monitoring approaches such as remote sensing satellites and low-altitude unmanned aerial vehicles (UAVs), and adopt technologies including image processing, data analysis and machine learning. These products can rapidly, accurately and on a large scale acquire all-factor information related to agriculture. By superimposing and comparing multi-temporal remote sensing image data, they can realize dynamic monitoring of all agricultural factors within the monitored area, thus 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

该数据集提供耕地利用变化的遥感监测服务，利用AI技术和多源卫星数据，实现农作物分类和耕地用途变化的动态监测，支持农业监管和治理。