自然资源高频次卫星遥感监测----大棚遥感监测产品

基于高频次卫星遥感影像，利用自动提取技术，深度学习地物特征，针对大棚用地，构建样本知识库，实现大棚用地的自动提取，形成了大棚专题监测产品。
利用2米级和亚米级光学遥感影像，针对全国/省/市/县1季度开展1次的大棚变化监测，在计算机自动提取的大棚现状信息基础上，通过人工核实、精化和分类，将大棚遥感监测信息产品细分为以下五类：塑料大棚、彩色大棚、玻璃大棚、光伏大棚和其他等5种类型的监测产品。大棚遥感监测主要提取大棚位置、分布、面积和变化等信息。

Based on high-frequency satellite remote sensing imagery, automatic extraction technologies and deep learning-enabled ground feature extraction, a sample knowledge base was constructed targeting greenhouse plots to realize automatic extraction of greenhouse land, thus developing thematic monitoring products for greenhouses. Using 2-meter and sub-meter optical remote sensing imagery, greenhouse change monitoring is carried out once per quarter at the national, provincial, municipal and county levels. Based on the current greenhouse information automatically extracted by computers, manual verification, refinement and classification are conducted to subdivide the greenhouse remote sensing monitoring products into five categories: plastic greenhouses, colored greenhouses, glass greenhouses, photovoltaic greenhouses and others. The greenhouse remote sensing monitoring primarily extracts core information including the location, distribution, area and dynamic changes of greenhouses.